CN110716043A - Serum protein marker, kit and detection method for early screening and diagnosis of breast cancer - Google Patents

Serum protein marker, kit and detection method for early screening and diagnosis of breast cancer Download PDF

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CN110716043A
CN110716043A CN201911014029.4A CN201911014029A CN110716043A CN 110716043 A CN110716043 A CN 110716043A CN 201911014029 A CN201911014029 A CN 201911014029A CN 110716043 A CN110716043 A CN 110716043A
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breast cancer
serum
diagnosis
serum protein
protein marker
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CN110716043B (en
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张建营
叶华
王鹏
王晓
史健翔
代丽萍
邱翠鹏
黎天东
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Zhengzhou University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/536Immunoassay; Biospecific binding assay; Materials therefor with immune complex formed in liquid phase
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/574Immunoassay; Biospecific binding assay; Materials therefor for cancer
    • G01N33/57407Specifically defined cancers
    • G01N33/57415Specifically defined cancers of breast

Abstract

The invention discloses a serum protein marker for early screening and diagnosis of breast cancer, which belongs to the technical field of biomedicine, and the serum protein marker is any one or combination of more than two of proteins encoded by CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B or p53 genes. Also discloses a kit comprising the serum protein marker and a detection method. Based on the functions of cancer driver genes in tumorigenesis and development, the invention customizes 138 human protein chips coded by the cancer driver genes, which contain 180 human recombinant proteins in total, firstly preliminarily screens out serum markers for early detection of breast cancer through the protein chips, then verifies through ELISA indirect method experiments, and finally screens out a group of serum protein markers of breast cancer for early screening and diagnosis of the breast cancer, wherein the area under a ROC curve for combined diagnosis of the breast cancer reaches 0.886, 95% CI is 0.847-0.925, and when the specificity is 92.2%, the sensitivity is 67.9%, and the consistency rate reaches 80.1%.

Description

Serum protein marker, kit and detection method for early screening and diagnosis of breast cancer
Technical Field
The invention belongs to the technical field of biomedicine.
Background
The breast cancer is one of the most common malignant tumors in the world, the incidence rate of the breast cancer in most Asian countries including China is about 11.6% of that of other malignant tumors in the whole body, and the incidence rate of the breast cancer in China is obviously higher than that in Western countries, thereby seriously threatening the life health of people. Breast cancer is insidious, and most patients have advanced into the breast cancer at the time of initial diagnosis, thus losing the opportunity for treatment. The main reason is that most of breast cancer is painless mass in the early stage, which is not easy to attach importance and does not have typical symptoms in the early stage, or the small mass is difficult to detect by imaging examination. At present, the latest early detection methods for malignant tumors include a multiple tumor marker protein chip detection system (C12 chip), a tumor gene mutation detection kit, six tumor marker assay kits, and a human malignant Tumor Specific Growth Factor (TSGF) enzyme-linked immunoassay (ELISA) kit. However, the detection false positive of the multi-tumor marker protein chip detection system (C12 chip) is higher, and no targeted breast cancer detection marker exists, so that the detection efficiency is low; the tumor gene mutation detection reagent depends on the complicated operation of Polymerase Chain Reaction (PCR) and is easy to generate false positive; the six tumor marker determination kits and the human malignant Tumor Specific Growth Factor (TSGF) enzyme-linked immunosorbent assay (ELISA) kit can only detect that a patient has a tumor, but cannot judge the specific type of the tumor.
In recent years, in the field of human oncology, many studies have found that the sera of cancer patients contain a unique set of cellular proteins that induce autoantibody responses, called tumor-associated antigens (TAAs), and the antibodies that they induce are called anti-TAA antibodies (autoantibodies). The proposal of the concept guides a new direction for the research of early diagnosis of the breast cancer. The tumor-associated antigen p62 can stimulate human body to generate immune response and generate autoantibody, and has important significance in the occurrence time of the anti-p 62 autoantibody in the circulation system of a liver cancer patient: the use of the sequential serum from the development of chronic hepatitis to cirrhosis to liver cancer shows that the anti-p 62 autoantibody does not appear in the chronic hepatitis stage of a patient, does not appear in the early stage and the middle stage of cirrhosis, the content of the autoantibody sharply rises for a period of time before the liver cancer occurs in the late stage of the cirrhosis stage, the clinical symptoms and signs of the liver cancer do not appear at the moment, the liver cancer cannot be found clinically, and the phenomenon is repeated in the sequential serum of a plurality of liver cancer patients. This suggests that the anti-p 62 autoantibody is a potential serological marker for early diagnosis of liver cancer. The detection of p62 autoantibody by serum detection of liver cancer, liver cirrhosis, chronic hepatitis patients and normal persons in small samples shows that the specificity of the autoantibody is high, but the sensitivity cannot reach 20%. Obviously, if the anti-p 62 autoantibody is used as a marker for diagnosing liver cancer alone, the diagnostic value is low. In a study of 2003 in which 7 anti-TAA autoantibodies were used to detect liver cancer, the sensitivity of a single marker did not exceed 20%, but by paralleling these 7 TAA autoantibodies, the sensitivity of detection could reach 56.9%, while the specificity of diagnosis was still high. The combination of multiple TAA autoantibodies has higher diagnostic value and is a strategy with application potential. The research provides a thought for early diagnosis of the breast cancer, so that the search of a group of TAA autoantibody combinations with higher diagnostic value for early screening and diagnosis of the breast cancer also has application potential.
There are two common methods for finding valuable TAA autoantibodies: the first is serological screening of recombinant cDNA expression library (serological analysis of recombinant cDNA expression libraries, SEREX); the other is proteomics technology. In contrast to SEREX, proteomics technology enables screening of multiple tumor sera and enables screening of TAAs with post-translational modifications. In order to find the anti-TAAs autoantibody index having diagnostic value for tumor, a protein chip technology, also called protein microarray, can be used to rapidly detect a plurality of tumor-associated antigens or autoantibodies on one chip at the same time, and has the advantages of automation, rapidness, high sensitivity and the like. The protein chip technology mainly utilizes the combination of high specificity of antigen and antibody to detect, is a novel scientific research technology for researching proteomics and protein interaction, can quickly analyze protein in blood by using the high-flux analysis technology, greatly accelerates the research process of tumor biomarkers, and gradually becomes a mainstream technology for screening and evaluating the tumor markers. During the development of tumors, hundreds of thousands of mutations of genes are involved, but only some key genes, called cancer driver genes, are mutated to cause the development of tumors. Studies suggest that different types of tumorigenesis generally contain 2-8 driver genes, and that mutations in these genes lead to preferential tumor growth, and that these genes can be divided into 12 signaling pathways by regulating the cell cycle, cell survival and genome to maintain 3 cell core processes. 138 cancer driver genes (see Vogelstein B. science. (2013)339(6127):1546-1558), including 74 cancer suppressor genes and 64 cancer genes, are currently found in a variety of tumor whole genome sequencing studies. The protein coded based on the cancer driving gene can also induce the body to generate corresponding autoantibodies in circulating blood of the body, and the research on the protein coded by the cancer driving gene and the autoantibodies in serum induced by the protein can reveal the occurrence, development or prognosis of tumors to a certain extent.
Therefore, the invention preliminarily detects 138 related antigen antibodies by a protein chip technology, screens out differential expression proteins, namely potential TAAs, and designs and optimizes the tumor related antigen combination for breast cancer diagnosis by measuring the expression levels of the indexes in breast cancer and normal control serum.
Disclosure of Invention
The invention aims to provide a serum protein marker for early screening and diagnosis of breast cancer, and also provides a kit and a detection method comprising the serum protein marker.
Based on the purpose, the invention adopts the following technical scheme:
a serum protein marker for early screening and diagnosis of breast cancer is any one or combination of more than two of CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B or p53 gene encoded proteins.
The serum protein marker is any one or combination of more than two of proteins coded by p62, PTCH1, BRCA2, HRAS, FUBP1 or GATA3 genes.
The serum protein markers are combinations of proteins encoded by p62, PTCH1, BRCA2, HRAS, FUBP1 and GATA3 genes.
The protein coded by the p62 gene has an amino acid sequence shown in SEQ ID NO. 3; the protein coded by the PTCH1 gene has an amino acid sequence shown as SEQ ID NO. 4; the protein coded by the BRCA2 gene has an amino acid sequence shown as SEQ ID NO. 5; the protein coded by the HRAS gene has an amino acid sequence shown as SEQ ID NO. 6; the protein coded by the FUBP1 gene has an amino acid sequence shown in SEQ ID NO. 7; the protein coded by the GATA3 gene has an amino acid sequence shown in SEQ ID NO. 8.
A kit comprising serum protein markers for early screening and diagnosis of breast cancer.
The serum protein marker is coated on a solid phase carrier.
The solid phase carrier is made of polyvinyl chloride, polystyrene, polyacrylamide or cellulose.
The kit also comprises any one or the combination of more than two of positive control serum, negative control serum, confining liquid, sample diluent, a second antibody, second antibody diluent, washing liquid, developing liquid or stopping liquid.
A detection method using serum protein markers for early screening and diagnosis of breast cancer, comprising the steps of:
1) coating and sealing each serum protein marker, and then cleaning;
2) performing primary antibody incubation and cleaning with the diluted serum to be detected, and performing secondary antibody incubation and cleaning;
3) stopping the reaction after the color development of the color development system, and measuring the absorbance value;
4) by OD450-OD620The relative OD value is obtained, then the blank contrast is deducted, the absorbance value is substituted into the following formula to calculate the predicted probability P value,
P=1/(1+Exp(-(-9.295+16.882×ODp62+6.528×ODPTCH1+8.975×ODBRCA2-29.232×ODHRAS+25.514×ODFUBP1+13.090×ODGATA3)));
OD in the formulap62、ODPTCH1、ODBRCA2、ODHRAS、ODFUBP1、ODGATA3The relative OD value of each serum protein marker is subtracted by the absorbance value of a blank control;
when the P value is more than or equal to 0.5, the breast cancer sample is preliminarily judged;
and when the P value is less than 0.5, the sample is preliminarily judged to be a normal sample.
Further comprising the step 5) of calculating the positive rate, the sensitivity specificity, the john index, the positive predictive value, the negative predictive value, the positive likelihood ratio and the negative likelihood ratio of each serum protein marker;
step 6), parallel joint detection: and (3) constructing a parallel joint detection model of the serum protein marker by using a logistic regression model, and calculating a joint diagnosis result.
Compared with the prior art, the invention has the following beneficial effects:
1) the invention is based on the role of cancer driving gene in the generation and development of tumor, customizes 138 human protein chips coded by cancer driving gene, totally comprises 180 human source recombinant proteins, the screening method is used for screening potential markers which can be used for diagnosing or other characterizing cancers, firstly, early detection serum markers of breast cancer are preliminarily screened out through a protein chip, then, ELISA indirect method experiments are carried out for verification, and finally, a group of serum protein markers of breast cancer which can be used for early screening and diagnosing of breast cancer are screened out, especially the combination of proteins coded by p62, PTCH1, BRCA2, HRAS, FUBP1 and GATA3 genes, the area under the ROC curve of the combined diagnosis breast cancer reaches 0.886, 95% CI is 0.847-0.925, when the specificity is ensured to be 92.2%, the sensitivity is 67.9%, the consistency rate reaches 80.1%, and the method can assist clinical diagnosis of breast cancer and has a better reference value;
2) the detection method has the characteristics of high sensitivity, strong specificity, low cost and the like, is simple and quick to operate, and can provide a basis for early diagnosis of the breast cancer.
Drawings
FIG. 1 is a schematic diagram of the detection of a focused array-based human protein chip in an experimental example;
FIG. 2 is ROC curve analysis chart of 12 TAAs individually diagnosed with breast cancer screened by protein chip in experimental example;
FIG. 3 is a scattergram of SNR values of 12 TAAs selected by the protein chip in the experimental example;
FIG. 4 is a schematic diagram of indirect ELISA detection in an experimental example;
FIG. 5 is ROC curve analysis chart of ELISA for verifying 12 TAAs for breast cancer alone in experimental examples;
FIG. 6 is a graph showing the distribution of OD value scatter of 12 TAAs verified by ELISA in the experimental examples;
FIG. 7 is a ROC graph of the data in the training set of ELISA-verified 6 TAAs for combined diagnosis of breast cancer in experimental examples;
FIG. 8 is a ROC plot of the data in the validation set of ELISA validated 6 TAAs for the combined diagnosis of breast cancer in the experimental examples.
Detailed Description
Examples of the experiments
1 preparation of serum samples
1.1 serum samples for protein chip experiments
Primary breast cancer patients (breast cancer pathologically diagnosed) were collected at the first subsidiary hospital of the university of zhengzhou and the beijing youan hospital, with patient consent and approval by the institutional review board and the hospital ethics committee. All samples are collected by a red blood collection tube for 5-10 mL of whole blood of a research object, the whole blood is placed for 2 hours at room temperature, 1000g of the whole blood is centrifuged for 15 minutes, supernatant is taken, each sample is subpackaged with a plurality of parts, labels are attached to the parts, and the parts are stored in a low-temperature refrigerator at minus 80 ℃ so as to avoid repeated freeze thawing.
Based on epidemiological analysis, 50 primary breast cancer sera were finally collected and 27 of the Yogan hospital normal control sera of the same physical examination were subjected to preliminary chip screening. 50 patients with primary breast cancer were all women, with a mean age of 48.16 ± 10.99 years, ranging from 29 to 71 years; the 27 normal sera were all women, with a mean age of 40.20 + -10.48 years, ranging from 21-58 years. All breast cancer patient sera were collected at a time when the patient was initially diagnosed with breast cancer and had not received any radiotherapy, chemotherapy, or surgical treatment. The normal human serum is from the physical examination population participating in the annual health physical examination and free of any malignant tumor symptoms.
1.2 serum samples for ELISA Experimental validation
(1) Serum samples were collected from the Beijing Youran Hospital and the first subsidiary Hospital of Zhengzhou university (see section 1.1 above for details).
(2) From the first subsidiary hospital of Zhengzhou university, breast surgery (184 cases of primary breast cancer) and cardiovascular research projects (184 cases of normal persons) in Jinshui district of Zhengzhou City, 184 cases of primary breast cancer patients were all female, with the average age of 50.10 ± 10.33 years and the age range of 29-81 years; the 184 normal sera were all from women with a mean age of 49.47 ± 10.98 years and an age range of 29-81 years. All breast cancer patient sera were collected at a time when the patient was initially diagnosed with breast cancer and had not received any radiotherapy, chemotherapy, or surgical treatment.
2 protein chip customization for screening breast cancer diagnosis marker
Proteins (180 total human recombinant proteins) encoded by 138 cancer driver genes (see Vogelstein B. science. (2013)339(6127):1546-1558) were immobilized on protein chips for screening of tumor markers. The protein chip for screening tumor markers is HuProt customized by Guangzhou Bo Chong Biotechnology Co., LtdTMHuman protein chips.
3 protein chip experiment
See figure 1 for experimental principles.
3.1 reagents required for the experiment:
1) sealing liquid: 3mL of 10% BSA, 7mL of 1 XPBS solution, mixed well and placed on ice.
2) Serum incubation liquid: 1mL of 10% BSA was added to 9mL of 1 XPBST solution, mixed well and placed on ice.
3) Cleaning solution: 1 XPBST solution, stored in a refrigerator at 4 ℃.
4) Secondary antibody incubation solution: including a fluorescently-labeled anti-human IgM secondary antibody (cy 5-labeled, appearing red) and a fluorescently-labeled anti-human IgG secondary antibody (cy 3-labeled, appearing green).
3.2 specific Experimental procedures for protein chips
(a) Rewarming: taking out the chip from a refrigerator at-80 deg.C, re-warming in a refrigerator at 4 deg.C for half an hour, and re-warming at room temperature for 15 min.
(b) And (3) sealing: and fixing the rewarming chip in 14blocks in a fence, adding sealing liquid into each block, placing the blocks on a side swing shaking bed, and sealing for 3 hours at room temperature.
(c) Incubation of serum samples: after the blocking was completed, the blocking solution was poured out, then the prepared serum incubation solution was added quickly, 14 samples were incubated per chip (the serum samples were frozen and thawed in a 4 ℃ chromatography cabinet, 1 XPBST solution containing 1% BSA was diluted at a ratio of 1: 50), the loading volume of each serum sample was 200. mu.L, the shaking table was set aside at 20rpm, and the incubation was carried out overnight at 4 ℃.
(d) Cleaning: taking out the chip and the chip clamp together, sucking out the sample, then quickly adding an equal volume of 1 XPBST solution, and circulating for a plurality of times to ensure that no cross contamination exists among the serum samples when the chip clamp is detached. After the chip clamp was removed, the chip was placed in a chip washing cassette containing washing solution, and washed on a horizontal shaker at room temperature at 80rpm for 3 times, each time for 10 min.
(e) And (3) secondary antibody incubation: the chip was transferred to an incubation box containing 3mL of secondary antibody incubation solution, and the shaking table was shaken laterally at 40rpm, protected from light, and left at room temperature for 60 min.
(f) Cleaning: take out the chip (notice notCan touch or scratch the upper surface of the chip), placed in a chip washing box with a washing solution added, and washed 3 times at 80rpm for 10min each time on a horizontal shaker. After completion with ddH2O washing for 10min 2 times.
(g) And (3) drying: the chip is placed in a chip drier for centrifugal drying.
(h) Scanning: operating according to the operating specifications and instructions of the scanner.
(i) Data extraction: and aligning the chip image and each array of the result as a whole, pressing an automatic alignment button, and extracting and storing data.
(j) And carrying out data preprocessing.
(k) And (3) carrying out data analysis to obtain a final breast cancer serum marker, and screening the following serum protein markers by the protein chip experiment: the proteins encoded by cancer driver genes CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B and p53 (FIG. 2 is a ROC curve analysis chart of the individual diagnosis of breast cancer by 12 TAAs screened out by the above protein chip, FIG. 2 is a ROC curve of the individual diagnosis of breast cancer by the proteins encoded by CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B and p53 in the order from 1 to 12; FIG. 3 is a SNR scatter diagram of the above 12 TAAs, N in FIG. 3 is Normal, namely, healthy Normal serum, B is a case of breast cancer (namely brestcer), wherein the sequences of the proteins encoded by CEBPA, RalA, p62, PTCH1, BRCA2, BRCA 1, GAAS 869, GATA 863, HRTA 8653 and HRP 8427 have the amino acid sequences of the individual diagnosis of breast cancer protein encoded proteins encoded by the aforementioned HAP B and HRPD.
4ELISA Indirect method experimental verification
See figure 4 for experimental principles.
The specific experimental steps are as follows:
a) coating: coating was performed at the concentrations in Table 1 at 100. mu.L/well overnight at 4 ℃.
b) And (3) sealing: a1 XPBST solution (PBS, Tween20 Solebao, Beijing) containing 2% BSA (Solebao, Beijing, analytical grade) was dispensed at 200. mu.L/well overnight at 4 ℃.
c) Cleaning: wash 3 times with 350 μ L/well 1 × PBST solution.
d) Primary antibody incubation: the serum was diluted 1:100 with 1% BSA in 1 XPBST and placed in a half water bath at 37 ℃ for 1h at 100. mu.L/well.
e) Cleaning: wash 5 times with 350 μ L/well 1 × PBST solution.
f) And (3) secondary antibody incubation: HRP-labeled mouse anti-human IgG (Olympic, Wuhan) was diluted 1:10000 in 1 XPBST solution containing 1% BSA and then treated with 100. mu.L/well in a half-water bath at 37 ℃ for 1 h.
g) Cleaning: wash 5 times with 350 μ L/well 1 × PBST solution.
h) Color development: TMB color development System, solution A (200 mgTMB.2HCl in 1L deionized water, Solebao, Beijing, analytical grade) and solution B (9.2g citric acid, 37g Na)2HPO4·12H2O and 8ml of 0.75% H2O2Dissolved in 1L of deionized water) and mixed at the ratio of 1:1, and then 100 mu L/hole is put away from light at room temperature to reach the expected color (about 5-15min is needed).
i) And (4) terminating: absorbance was measured within 10min after 50. mu.L/well of 10% concentrated sulfuric acid.
j) Measuring the absorbance: by OD450-OD620For relative OD values, the blank control was then subtracted, and IgG was normalized and then subjected to subsequent data processing (details of data processing are shown in "5 data processing" sections b) -d) described below).
The coating concentrations of the 12 TAAs screened by the protein chip experiment when the 12 TAAs are subjected to ELISA experiment verification are shown in the following table 1, and the arrangement table of the 96-well plate of the ELISA experiment is shown in the following table 2. In table 2, the positive quality control refers to serum with a higher OD value of the ELISA experiment and positive corresponding antibody through Western Blot experiment verification, the negative quality control refers to serum with an OD value near the mean value of the ELISA experiment in normal control population and negative through Western Blot verification, the blank is serum diluent, IgG 1-IgG 8 are human IgG antibodies diluted in a gradient manner, and the concentrations are 10, 20, 50, 100, 150, 200, 250 and 300ng/ml in sequence.
Coating concentrations of each of the 112 TAAs in Table
Figure BDA0002245099260000071
Table 2 96-well plate arrangement for ELISA experiments
The experimental results are as follows: 12 TAAs were detected by ELISA and the results are shown in FIGS. 5 and 6. FIG. 5 is a ROC curve analysis diagram of 12 TAAs individually diagnosing breast cancer in ELISA validation experiment, in which 1-12 are ROC curves of proteins encoded by CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B and p53 individually diagnosing breast cancer; FIG. 6 is a graph showing the distribution of OD value scatter of 12 TAAs in ELISA-verified experiments, in which N indicates Normal, i.e., healthy Normal serum, and B indicates Breast cancer, i.e., breast cancer case.
As can be seen from FIG. 5, the area under the ROC curve of breast cancer diagnosis by a single index is 0.634-0.737, and the sensitivity range is 25.9% -46.2% when the lowest specificity is ensured. Wherein the area under the curve of BRCA2 is 0.737, the sensitivity reaches 46.2%, and the specificity is 90.2%; the area under the ROC curve of RalA is 0.736, the sensitivity reaches 25.9 percent, and the specificity is 91.7 percent; the area under the ROC curve of ALK is minimum, and is 0.643, the sensitivity reaches 28.2 percent, and the specificity is 90.2 percent. As can be seen from FIG. 6, the OD values of the 12 indexes are distributed between 0 and 0.8, the medium OD values are basically distributed between 0.2 and 0.4, and the differences between the healthy control and the breast cancer cases have statistical significance.
5 data processing
The differential expression protein is screened out by using the focused array human protein chip in a breast cancer group and an NC normal control group through statistical data analysis, and the specific method is as follows:
(1) the initial screening result of the chip is obtained through Focused Array protein chip experiment.
(2) And (3) stability analysis: in the experimental process, the test samples test are repeated according to different time, different chips and different positions so as to evaluate the stability of different chips at different time.
(3) Data analysis and results: samples after high background and extreme sample interference were rejected and 180 proteins of each of the IgG and IgM response types were subjected to consistent statistical analysis with the following analysis logic:
a) in order to eliminate the situation of signal nonuniformity caused by inconsistent background values among different protein points in the same chip, the background normalization method is used for processing, the ratio of the foreground value to the background value of each protein, namely F/B, is realized, SNR (signal to noise ratio), namely the mean value of the F/B of two repeated proteins, is defined on the basis, and subsequent statistical analysis is carried out.
b) Assuming that samples needing to be aligned are respectively from two identical populations, and whether the two groups of variances needing to be aligned are homogeneous is determined through an F test, then the F test result is selected to correspond to a t test, and the t test result is characterized by P-value. By definition, when p-value <0.05, the original hypothesis is rejected, i.e. there is a significant difference between the two.
c) For any protein, fold change, which is the difference between the cancer group and the normal group, was calculated to indicate the difference between the two groups.
d) For any protein, according to the diagnostic significance of the two groups compared, firstly, defining cutoff-1.5 as a positive judgment threshold, namely, when the SNR of a sample on the protein is more than or equal to 1.5, the protein is a positive protein; then, based on the control group, setting a proper cutoff threshold, calculating the difference of the positive rate of the cancer group and the control group at the cutoff threshold, and taking the maximum difference as the positive rate of the protein in the compared cancer group to search the high response protein specific to the control group in the cancer group, and finally, defining that the positive rate is not lower than 15%.
e) Based on the above logic, the breast cancer group (50 primary breast cancer patient sera collected from the first subsidiary hospital of the university of zheng and beijing youan) and the youan control group (27 normal sera of youan hospital) are compared, differential proteins which are obviously higher than the control group in the breast cancer group are screened out to be used as breast cancer candidate markers, and finally 12 serum protein markers (CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B and p53) are selected by a chip to evaluate the diagnostic value of the breast cancer. Wherein, the protein coded by CEBPA gene has an amino acid sequence shown as SEQ ID NO.1, the protein coded by RalA gene has an amino acid sequence shown as SEQ ID NO.2, the protein coded by p62 gene has an amino acid sequence shown as SEQ ID NO.3, the protein coded by PTCH1 gene has an amino acid sequence shown as SEQ ID NO.4, the protein coded by BRCA2 gene has an amino acid sequence shown as SEQ ID NO.5, the protein coded by HRAS gene has an amino acid sequence shown as SEQ ID NO.6, the protein coded by FUBP1 gene has an amino acid sequence shown as SEQ ID NO.7, the protein coded by GATA3 gene has an amino acid sequence shown as SEQ ID NO.8, the protein coded by FGFR3 gene has an amino acid sequence shown as SEQ ID NO.9, the protein coded by ALK gene has an amino acid sequence shown as SEQ ID NO.10, the protein coded by HISTIH3B gene has an amino acid sequence shown as SEQ ID NO.11, the protein coded by the p53 gene has an amino acid sequence shown in SEQ ID NO. 12. The information sources of the above 12 genes are shown in Table 3 below.
Information sources of the 312 genes in Table
Name of Gene Uniprot database accession number NCBI reference sequence accession number
CEBPA P49715 NM_004364
RalA P11233 NM_005402
P62 Q9Y6M1-6 NM_006548
PTCH1 Q13635 NM_000264
BRCA2 P51587 NM_000059
HRAS P01112 NM_005343
FUBP1 Q96AE4-2 NM_003902
GATA3 P23771 NM_002051
FGFR3 P22607 NM_000142
ALK Q9UM73 NM_004304
HISTIH3B P68431 NM_003529
TP53 P04637 NM_000546
(4) The 12 serum protein markers screened by the protein chip are subjected to ELISA indirect method experimental verification: the method comprises the steps of verifying the samples of the submission chip and verifying the samples collected outside the submission chip again, thereby realizing the verification of the protein chip and ensuring the popularization.
(5) The experimental results are as follows: ELISA experimental verification is carried out on 12 serum protein markers screened by a protein chip, 70% of total population is extracted as a training set by using a random sampling method for all verified population, a disease prediction model is constructed by using binary logistic regression, indexes are screened by using three methods of Forward (Forward: conditional), Backward (Backward: conditional) and direct input method (Enter), 6, 8 and 8 types of entry models are respectively selected, and the corresponding area under the ROC curve (AUC), sensitivity (Se) and specificity (Sp) are shown in the following table 4.
TABLE 4 model indices screened by different screening methods
Figure BDA0002245099260000101
The diagnosis value and economic benefit analysis of the model constructed above shows that the model containing 6 indexes (p62, PTCH1, BRCA2, HRAS, FUBP1 and GATA3) has the best effect, and the model is verified in the rest 30% of people (verification set), as shown in fig. 7 and 8, the area under the ROC curve of the combined diagnosis breast cancer reaches 0.886, 95% CI is 0.847-0.925, and when the specificity is ensured to be 92.2%, the sensitivity is 67.9%, and the consistency rate reaches 80.1%.
Examples
A serum protein marker for early screening and diagnosis of breast cancer is the combination of proteins encoded by p62, PTCH1, BRCA2, HRAS, FUBP1 and GATA3 genes. The protein coded by the p62 gene has an amino acid sequence shown in SEQ ID NO. 3; the protein coded by the PTCH1 gene has an amino acid sequence shown as SEQ ID NO. 4; the protein coded by the BRCA2 gene has an amino acid sequence shown in SEQ ID NO. 5; the protein coded by the HRAS gene has an amino acid sequence shown as SEQ ID NO. 6; the protein coded by the FUBP1 gene has an amino acid sequence shown in SEQ ID NO. 7; the protein coded by the GATA3 gene has an amino acid sequence shown in SEQ ID NO. 8.
A kit comprises a serum protein marker for early screening and diagnosis of breast cancer, wherein the serum protein marker is coated on a solid phase carrier, and the solid phase carrier is a concave hole flat plate made of polyvinyl chloride. The kit also comprises positive control serum, negative control serum, confining liquid, sample diluent, a second antibody, second antibody diluent, washing liquid, developing liquid and stopping liquid.
The positive control serum is serum which has a higher ELISA experiment OD value and is verified to be positive by a Western Blot experiment, the negative control serum is serum which has an ELISA experiment OD value near the mean value and is verified to be negative by a Westernblot experiment in a normal control population, the blocking solution is a 1 XPBST solution containing 2% BSA, the serum diluent and the second antibody diluent are both 1 XPBST solutions containing 1% BSA, the second antibody is HRP-labeled mouse anti-human IgG, the washing solution is a 1 XPBST solution, the developing solution is an A solution (200 mgTMB.2 HCl is dissolved in 1L deionized water, Solaibao, Beijing, analytically pure) and a B solution (9.2g citric acid, 37gNa Na2HPO4·12H2O and 8ml of 0.75% H2O2Dissolved in 1L of deionized water) and mixed solution with the volume ratio of 1:1, and the stop solution is concentrated sulfuric acid with the concentration of 10 percent.
A detection method using serum protein markers for early screening and diagnosis of breast cancer, comprising the steps of:
1) coating each serum protein marker (the coating concentration is shown in the table 1 above), 100 mu L/hole, overnight at 4 ℃, and cleaning for 3 times by using a 350 mu L/hole cleaning solution after sealing (200 mu L/hole by using a sealing solution and overnight at 4 ℃);
2) performing primary antibody incubation (100 mu L/hole, 37 ℃ half water bath for 1h) with diluted serum to be detected (the diluted serum to be detected and serum diluent are diluted according to the volume ratio of 1: 100), washing with 350 mu L/hole washing solution for 5 times, performing secondary antibody incubation (100 mu L/hole, 37 ℃ half water bath for 1h and washing with 350 mu L/hole washing solution for 5 times after the second antibody and the second antibody diluent are diluted according to the volume ratio of 1: 10000);
3) color development of a color development system: a TMB color development system with 100 mu L/hole of color development liquid is protected from light at room temperature to reach the expected color; and (3) terminating the reaction: stopping with 50 μ L/well, and measuring absorbance within 10 min;
4) by OD450-OD620The relative OD value is obtained, then the blank control is deducted, the absorbance value of each index (namely the serum protein marker) is substituted into the following formula, the predicted probability P value is calculated,
P=1/(1+Exp(-(-9.295+16.882×ODp62+6.528×ODPTCH1+8.975×ODBRCA2-29.232×ODHRAS+25.514×ODFUBP1+13.090×ODGATA3)));
OD in the formulap62、ODPTCH1、ODBRCA2、ODHRAS、ODFUBP1、ODGATA3The relative OD value of each serum protein marker is subtracted by the absorbance value of a blank control;
when the P value is more than or equal to 0.5, the breast cancer sample is preliminarily judged;
when the P value is less than 0.5, the sample is preliminarily judged to be a normal sample;
step 5) calculating the positive rate, sensitivity specificity, john index, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of each serum protein marker;
step 6), parallel joint detection: and (3) constructing a parallel joint detection model of the serum protein marker by using a logistic regression model, and calculating a joint diagnosis result.
The result shows that the P value of the serum to be detected is more than 0.5, and the sample is judged to be suspected breast cancer sample preliminarily.
Since the measurement result of the method of this embodiment can only be information of intermediate results, and it cannot be directly determined whether the patient has breast cancer, it is necessary to finally determine the diseased state of the patient by combining information of clinical symptoms, imaging, histopathology, and the like.
<110> Zhengzhou university
<120> serum protein marker, kit and detection method for early screening and diagnosis of breast cancer
<160>12
<170>SIPOSequenceListing 1 .0
<211>358
<212>PRT
<213> human
<221> protein encoded by CEBPA gene
<400>1
MESADFYEAE PRPPMSSHLQ SPPHAPSSAA FGFPRGAGPA QPPAPPAAPE PLGGICEHET 60
SIDISAYIDP AAFNDEFLAD LFQHSRQQEK AKAAVGPTGG GGGGDFDYPG APAGPGGAVM 120
PGGAHGPPPG YGCAAAGYLD GRLEPLYERV GAPALRPLVI KQEPREEDEA KQLALAGLFP 180
YQPPPPPPPS HPHPHPPPAH LAAPHLQFQI AHCGQTTMHL QPGHPTPPPT PVPSPHPAPA 240
LGAAGLPGPG SALKGLGAAH PDLRASGGSG AGKAKKSVDK NSNEYRVRRE RNNIAVRKSR 300
DKAKQRNVET QQKVLELTSD NDRLRKRVEQ LSRELDTLRG IFRQLPESSL VKAMGNCA 358
<211>206
<212>PRT
<213> human
<221> protein encoded by RalA Gene
<400>2
MAANKPKGQN SLALHKVIMV GSGGVGKSAL TLQFMYDEFV EDYEPTKADS YRKKVVLDGE 60
EVQIDILDTA GQEDYAAIRD NYFRSGEGFL CVFSITEMES FAATADFREQ ILRVKEDENV 120
PFLLVGNKSD LEDKRQVSVE EAKNRAEQWN VNYVETSAKT RANVDKVFFD LMREIRARKM 180
EDSKEKNGKK KRKSLAKRIR ERCCIL 206
<211>598
<212>PRT
<213> human
<221> protein encoded by p62 gene
<400>3
MNKLYIGNLS PAVTADDLRQ LFGDRKLPLA GQVLLKSGYA FVDYPDQNWA IRAIETLSGK 60
VELHGKIMEV DYSVSKKLRS RKIQIRNIPP HLQWEVLDGL LAQYGTVENV EQVNTDTETA 120
VVNVTYATRE EAKIAMEKLS GHQFENYSFK ISYIPDEEVS SPSPPQRAQR GDHSSREQGH 180
APGGTSQARQ IDFPLRILVP TQFVGAIIGK EGLTIKNITK QTQSRVDIHR KENSGAAEKP 240
VTIHATPEGT SEACRMILEI MQKEADETKL AEEIPLKILA HNGLVGRLIG KEGRNLKKIE 300
HETGTKITIS SLQDLSIYNP ERTITVKGTV EACASAEIEI MKKLREAFEN DMLAVNQQAN 360
LIPGLNLSAL GIFSTGLSVL SPPAGPRGAP PAAPYHPFTT HSGYFSSLYP HHQFGPFPHH 420
HSYPEQEIVN LFIPTQAVGA IIGKKGAHIK QLARFAGASI KIAPAEGPDV SERMVIITGP 480
PEAQFKAQGR IFGKLKEENF FNPKEEVKLE AHIRVPSSTA GRVIGKGGKT VNELQNLTSA 540
EVIVPRDQTP DENEEVIVRI IGHFFASQTA QRKIREIVQQ VKQQEQKYPQ GVASQRSK 598
<211>1447
<212>PRT
<213> human
<221> protein encoded by PTCH1 Gene
<400>4
MASAGNAAEP QDRGGGGSGC IGAPGRPAGG GRRRRTGGLR RAAAPDRDYL HRPSYCDAAF 60
ALEQISKGKA TGRKAPLWLR AKFQRLLFKL GCYIQKNCGK FLVVGLLIFG AFAVGLKAAN 120
LETNVEELWV EVGGRVSREL NYTRQKIGEE AMFNPQLMIQ TPKEEGANVL TTEALLQHLD 180
SALQASRVHV YMYNRQWKLE HLCYKSGELI TETGYMDQII EYLYPCLIIT PLDCFWEGAK 240
LQSGTAYLLG KPPLRWTNFD PLEFLEELKK INYQVDSWEE MLNKAEVGHG YMDRPCLNPA 300
DPDCPATAPN KNSTKPLDMA LVLNGGCHGL SRKYMHWQEE LIVGGTVKNS TGKLVSAHAL 360
QTMFQLMTPK QMYEHFKGYE YVSHINWNED KAAAILEAWQ RTYVEVVHQS VAQNSTQKVL 420
SFTTTTLDDI LKSFSDVSVI RVASGYLLML AYACLTMLRW DCSKSQGAVG LAGVLLVALS 480
VAAGLGLCSL IGISFNAATT QVLPFLALGV GVDDVFLLAH AFSETGQNKR IPFEDRTGEC 540
LKRTGASVAL TSISNVTAFF MAALIPIPAL RAFSLQAAVV VVFNFAMVLL IFPAILSMDL 600
YRREDRRLDI FCCFTSPCVS RVIQVEPQAY TDTHDNTRYS PPPPYSSHSF AHETQITMQS 660
TVQLRTEYDP HTHVYYTTAE PRSEISVQPV TVTQDTLSCQ SPESTSSTRD LLSQFSDSSL 720
HCLEPPCTKW TLSSFAEKHY APFLLKPKAK VVVIFLFLGL LGVSLYGTTR VRDGLDLTDI 780
VPRETREYDF IAAQFKYFSF YNMYIVTQKA DYPNIQHLLY DLHRSFSNVK YVMLEENKQL 840
PKMWLHYFRD WLQGLQDAFD SDWETGKIMP NNYKNGSDDG VLAYKLLVQT GSRDKPIDIS 900
QLTKQRLVDA DGIINPSAFY IYLTAWVSND PVAYAASQAN IRPHRPEWVH DKADYMPETR 960
LRIPAAEPIE YAQFPFYLNG LRDTSDFVEA IEKVRTICSN YTSLGLSSYP NGYPFLFWEQ 1020
YIGLRHWLLL FISVVLACTF LVCAVFLLNP WTAGIIVMVL ALMTVELFGM MGLIGIKLSA 1080
VPVVILIASV GIGVEFTVHV ALAFLTAIGD KNRRAVLALE HMFAPVLDGA VSTLLGVLML 1140
AGSEFDFIVR YFFAVLAILT ILGVLNGLVL LPVLLSFFGP YPEVSPANGL NRLPTPSPEP 1200
PPSVVRFAMP PGHTHSGSDS SDSEYSSQTT VSGLSEELRH YEAQQGAGGP AHQVIVEATE 1260
NPVFAHSTVV HPESRHHPPS NPRQQPHLDS GSLPPGRQGQ QPRRDPPREG LWPPPYRPRR 1320
DAFEISTEGH SGPSNRARWG PRGARSHNPR NPASTAMGSS VPGYCQPITT VTASASVTVA 1380
VHPPPVPGPG RNPRGGLCPG YPETDHGLFE DPHVPFHVRC ERRDSKVEVI ELQDVECEER 1440
PRGSSSN 1447
<211>3418
<212>PRT
<213> human
<221> protein encoded by BRCA2 gene
<400>5
MPIGSKERPT FFEIFKTRCN KADLGPISLN WFEELSSEAP PYNSEPAEES EHKNNNYEPN 60
LFKTPQRKPS YNQLASTPII FKEQGLTLPL YQSPVKELDK FKLDLGRNVP NSRHKSLRTV 120
KTKMDQADDV SCPLLNSCLS ESPVVLQCTH VTPQRDKSVV CGSLFHTPKF VKGRQTPKHI 180
SESLGAEVDP DMSWSSSLAT PPTLSSTVLI VRNEEASETV FPHDTTANVK SYFSNHDESL 240
KKNDRFIASV TDSENTNQRE AASHGFGKTS GNSFKVNSCK DHIGKSMPNV LEDEVYETVV 300
DTSEEDSFSL CFSKCRTKNL QKVRTSKTRK KIFHEANADE CEKSKNQVKE KYSFVSEVEP 360
NDTDPLDSNV ANQKPFESGS DKISKEVVPS LACEWSQLTL SGLNGAQMEK IPLLHISSCD 420
QNISEKDLLD TENKRKKDFL TSENSLPRIS SLPKSEKPLN EETVVNKRDE EQHLESHTDC480
ILAVKQAISG TSPVASSFQG IKKSIFRIRE SPKETFNASF SGHMTDPNFK KETEASESGL 540
EIHTVCSQKE DSLCPNLIDN GSWPATTTQN SVALKNAGLI STLKKKTNKF IYAIHDETSY 600
KGKKIPKDQK SELINCSAQF EANAFEAPLT FANADSGLLH SSVKRSCSQN DSEEPTLSLT 660
SSFGTILRKC SRNETCSNNT VISQDLDYKE AKCNKEKLQL FITPEADSLS CLQEGQCEND 720
PKSKKVSDIK EEVLAAACHP VQHSKVEYSD TDFQSQKSLL YDHENASTLI LTPTSKDVLS 780
NLVMISRGKE SYKMSDKLKG NNYESDVELT KNIPMEKNQD VCALNENYKN VELLPPEKYM 840
RVASPSRKVQ FNQNTNLRVI QKNQEETTSI SKITVNPDSE ELFSDNENNF VFQVANERNN 900
LALGNTKELH ETDLTCVNEP IFKNSTMVLY GDTGDKQATQ VSIKKDLVYV LAEENKNSVK 960
QHIKMTLGQD LKSDISLNID KIPEKNNDYM NKWAGLLGPI SNHSFGGSFR TASNKEIKLS 1020
EHNIKKSKMF FKDIEEQYPT SLACVEIVNT LALDNQKKLS KPQSINTVSA HLQSSVVVSD 1080
CKNSHITPQM LFSKQDFNSN HNLTPSQKAE ITELSTILEE SGSQFEFTQF RKPSYILQKS 1140
TFEVPENQMT ILKTTSEECR DADLHVIMNA PSIGQVDSSK QFEGTVEIKR KFAGLLKNDC 1200
NKSASGYLTD ENEVGFRGFY SAHGTKLNVS TEALQKAVKL FSDIENISEE TSAEVHPISL 1260
SSSKCHDSVV SMFKIENHND KTVSEKNNKC QLILQNNIEM TTGTFVEEIT ENYKRNTENE 1320
DNKYTAASRN SHNLEFDGSD SSKNDTVCIH KDETDLLFTD QHNICLKLSG QFMKEGNTQI 1380
KEDLSDLTFL EVAKAQEACH GNTSNKEQLT ATKTEQNIKD FETSDTFFQT ASGKNISVAK 1440
ESFNKIVNFF DQKPEELHNF SLNSELHSDI RKNKMDILSY EETDIVKHKI LKESVPVGTG 1500
NQLVTFQGQP ERDEKIKEPT LLGFHTASGK KVKIAKESLD KVKNLFDEKE QGTSEITSFS 1560
HQWAKTLKYR EACKDLELAC ETIEITAAPK CKEMQNSLNN DKNLVSIETV VPPKLLSDNL 1620
CRQTENLKTS KSIFLKVKVH ENVEKETAKS PATCYTNQSP YSVIENSALA FYTSCSRKTS 1680
VSQTSLLEAK KWLREGIFDG QPERINTADY VGNYLYENNS NSTIAENDKN HLSEKQDTYL 1740
SNSSMSNSYS YHSDEVYNDS GYLSKNKLDS GIEPVLKNVE DQKNTSFSKV ISNVKDANAY 1800
PQTVNEDICV EELVTSSSPC KNKNAAIKLS ISNSNNFEVG PPAFRIASGK IVCVSHETIK 1860
KVKDIFTDSF SKVIKENNEN KSKICQTKIM AGCYEALDDS EDILHNSLDN DECSTHSHKV 1920
FADIQSEEIL QHNQNMSGLE KVSKISPCDV SLETSDICKC SIGKLHKSVS SANTCGIFST 1980
ASGKSVQVSD ASLQNARQVF SEIEDSTKQV FSKVLFKSNE HSDQLTREEN TAIRTPEHLI 2040
SQKGFSYNVV NSSAFSGFST ASGKQVSILE SSLHKVKGVL EEFDLIRTEH SLHYSPTSRQ 2100
NVSKILPRVD KRNPEHCVNS EMEKTCSKEF KLSNNLNVEG GSSENNHSIK VSPYLSQFQQ 2160
DKQQLVLGTK VSLVENIHVL GKEQASPKNV KMEIGKTETF SDVPVKTNIE VCSTYSKDSE 2220
NYFETEAVEI AKAFMEDDEL TDSKLPSHAT HSLFTCPENE EMVLSNSRIG KRRGEPLILV 2280
GEPSIKRNLL NEFDRIIENQ EKSLKASKST PDGTIKDRRL FMHHVSLEPI TCVPFRTTKE 2340
RQEIQNPNFT APGQEFLSKS HLYEHLTLEK SSSNLAVSGH PFYQVSATRN EKMRHLITTG 2400
RPTKVFVPPF KTKSHFHRVE QCVRNINLEE NRQKQNIDGH GSDDSKNKIN DNEIHQFNKN 2460
NSNQAAAVTF TKCEEEPLDL ITSLQNARDI QDMRIKKKQR QRVFPQPGSL YLAKTSTLPR 2520
ISLKAAVGGQ VPSACSHKQL YTYGVSKHCI KINSKNAESF QFHTEDYFGK ESLWTGKGIQ 2580
LADGGWLIPS NDGKAGKEEF YRALCDTPGV DPKLISRIWV YNHYRWIIWK LAAMECAFPK 2640
EFANRCLSPE RVLLQLKYRY DTEIDRSRRS AIKKIMERDD TAAKTLVLCV SDIISLSANI 2700
SETSSNKTSS ADTQKVAIIE LTDGWYAVKA QLDPPLLAVL KNGRLTVGQK IILHGAELVG 2760
SPDACTPLEA PESLMLKISA NSTRPARWYT KLGFFPDPRP FPLPLSSLFS DGGNVGCVDV 2820
IIQRAYPIQW MEKTSSGLYI FRNEREEEKE AAKYVEAQQK RLEALFTKIQ EEFEEHEENT 2880
TKPYLPSRAL TRQQVRALQD GAELYEAVKN AADPAYLEGY FSEEQLRALN NHRQMLNDKK 2940
QAQIQLEIRK AMESAEQKEQ GLSRDVTTVW KLRIVSYSKK EKDSVILSIW RPSSDLYSLL 3000
TEGKRYRIYH LATSKSKSKS ERANIQLAAT KKTQYQQLPV SDEILFQIYQ PREPLHFSKF 3060
LDPDFQPSCS EVDLIGFVVS VVKKTGLAPF VYLSDECYNL LAIKFWIDLN EDIIKPHMLI 3120
AASNLQWRPE SKSGLLTLFA GDFSVFSASP KEGHFQETFN KMKNTVENID ILCNEAENKL 3180
MHILHANDPK WSTPTKDCTS GPYTAQIIPG TGNKLLMSSP NCEIYYQSPL SLCMAKRKSV 3240
STPVSAQMTS KSCKGEKEID DQKNCKKRRA LDFLSRLPLP PPVSPICTFV SPAAQKAFQP 3300
PRSCGTKYET PIKKKELNSP QMTPFKKFNE ISLLESNSIA DEELALINTQ ALLSGSTGEK 3360
QFISVSESTR TAPTSSEDYL RLKRRCTTSL IKEQESSQAS TEECEKNKQD TITTKKYI 3418
<211>189
<212>PRT
<213> human
<221> protein encoded by HRAS gene
<400>6
MTEYKLVVVG AGGVGKSALT IQLIQNHFVD EYDPTIEDSY RKQVVIDGET CLLDILDTAG 60
QEEYSAMRDQ YMRTGEGFLC VFAINNTKSF EDIHQYREQI KRVKDSDDVP MVLVGNKCDL 120
AARTVESRQA QDLARSYGIP YIETSAKTRQ GVEDAFYTLV REIRQHKLRK LNPPDESGPG 180
CMSCKCVLS 189
<211>653
<212>PRT
<213> human
<221> protein encoded by FUBP1 gene
<400>7
MADYSTVPPP SSGSAGGGGG GGGGGGVNDA FKDALQRARQ IAAKIGGDAG TSLNSNDYGY 60
GGQKRPLEDG DQPDAKKVAP QNDSFGTQLP PMHQQQRSVM TEEYKVPDGM VGFIIGRGGE 120
QISRIQQESG CKIQIAPDSG GLPERSCMLT GTPESVQSAK RLLDQIVEKG RPAPGFHHGD 180
GPGNAVQEIM IPASKAGLVI GKGGETIKQL QERAGVKMVM IQDGPQNTGA DKPLRITGDP 240
YKVQQAKEMV LELIRDQGGF REVRNEYGSR IGGNEGIDVP IPRFAVGIVI GRNGEMIKKI 300
QNDAGVRIQF KPDDGTTPER IAQITGPPDR CQHAAEIITD LLRSVQAGNP GGPGPGGRGR 360
GRGQGNWNMG PPGGLQEFNF IVPTGKTGLI IGKGGETIKS ISQQSGARIE LQRNPPPNAD 420
PNMKLFTIRG TPQQIDYARQ LIEEKIGGPV NPLGPPVPHG PHGVPGPHGP PGPPGPGTPM 480
GPYNPAPYNP GPPGPAPHGP PAPYAPQGWG NAYPHWQQQA PPDPAKAGTD PNSAAWAAYY 540
AHYYQQQAQP PPAAPAGAPT TTQTNGQGDQ QNPAPAGQVD YTKAWEEYYK KMGQAVPAPT 600
GAPPGGQPDY SAAWAEYYRQ QAAYYAQTSP QGMPQHPPAP QCRFDPASIE LAL 653
<211>443
<212>PRT
<213> human
<221> GATA3 Gene-encoded protein
<400>8
MEVTADQPRW VSHHHPAVLN GQHPDTHHPG LSHSYMDAAQ YPLPEEVDVL FNIDGQGNHV 60
PPYYGNSVRA TVQRYPPTHH GSQVCRPPLL HGSLPWLDGG KALGSHHTAS PWNLSPFSKT 120
SIHHGSPGPL SVYPPASSSS LSGGHASPHL FTFPPTPPKD VSPDPSLSTP GSAGSARQDE 180
KECLKYQVPL PDSMKLESSH SRGSMTALGG ASSSTHHPIT TYPPYVPEYS SGLFPPSSLL 240
GGSPTGFGCK SRPKARSSTG RECVNCGATS TPLWRRDGTG HYLCNACGLY HKMNGQNRPL 300
IKPKRRLSAA RRAGTSCANC QTTTTTLWRR NANGDPVCNA CGLYYKLHNI NRPLTMKKEG 360
IQTRNRKMSS KSKKCKKVHD SLEDFPKNSS FNPAALSRHM SSLSHISPFS HSSHMLTTPT 420
PMHPPSSLSF GPHHPSSMVT AMG 443
<211>391
<212>PRT
<213> human
<221> FGFR3 gene coded protein
<400>9
MGAPACALAL CVAVAIVAGA SSESLGTEQR VVGRAAEVPG PEPGQQEQLV FGSGDAVELS 60
CPPPGGGPMG PTVWVKDGTG LVPSERVLVG PQRLQVLNAS HEDSGAYSCR QRLTQRVLCH 120
FSVRVTDAPS SGDDEDGEDE AEDTGVDTGA PYWTRPERMD KKLLAVPAAN TVRFRCPAAG 180
NPTPSISWLK NGREFRGEHR IGGIKLRHQQ WSLVMESVVP SDRGNYTCVV ENKFGSIRQT 240
YTLDVLERSP HRPILQAGLP ANQTAVLGSD VEFHCKVYSD AQPHIQWLKH VEVNGSKVGP 300
DGTPYVTVLK TAGANTTDKE LEVLSLHNVT FEDAGEYTCL AGNSIGFSHH SAWLVVLPAE 360
EELVEADEAG SVYAGILSYG VGFFLFILVV AAVTLCRLRS PPKKGLGSPT VHKISRFPLK 420
RQVSLESNAS MSSNTPLVRI ARLSSGEGPT LANVSELELP ADPKWELSRA RLTLGKPLGE 480
GCFGQVVMAE AIGIDKDRAA KPVTVAVKML KDDATDKDLS DLVSEMEMMK MIGKHKNIIN 540
LLGACTQGGP LYVLVEYAAK GNLREFLRAR RPPGLDYSFD TCKPPEEQLT FKDLVSCAYQ 600
VARGMEYLAS QKCIHRDLAA RNVLVTEDNV MKIADFGLAR DVHNLDYYKK TTNGRLPVKW 660
MAPEALFDRV YTHQSDVWSF GVLLWEIFTL GGSPYPGIPV EELFKLLKEG HRMDKPANCT 720
HDLYMIMREC WHAAPSQRPT FKQLVEDLDR VLTVTSTDEY LDLSAPFEQY SPGGQDTPSS 780
SSSGDDSVFA HDLLPPAPPS SGGSRT 806
<211>1620
<212>PRT
<213> human
<221> protein encoded by ALK Gene
<400>10
MGAIGLLWLL PLLLSTAAVG SGMGTGQRAG SPAAGPPLQP REPLSYSRLQ RKSLAVDFVV 60
PSLFRVYARD LLLPPSSSEL KAGRPEARGS LALDCAPLLR LLGPAPGVSW TAGSPAPAEA 120
RTLSRVLKGG SVRKLRRAKQ LVLELGEEAI LEGCVGPPGE AAVGLLQFNL SELFSWWIRQ 180
GEGRLRIRLM PEKKASEVGR EGRLSAAIRA SQPRLLFQIF GTGHSSLESP TNMPSPSPDY 240
FTWNLTWIMK DSFPFLSHRS RYGLECSFDF PCELEYSPPL HDLRNQSWSW RRIPSEEASQ 300
MDLLDGPGAE RSKEMPRGSF LLLNTSADSK HTILSPWMRS SSEHCTLAVS VHRHLQPSGR 360
YIAQLLPHNE AAREILLMPT PGKHGWTVLQ GRIGRPDNPF RVALEYISSG NRSLSAVDFF 420
ALKNCSEGTS PGSKMALQSS FTCWNGTVLQ LGQACDFHQD CAQGEDESQM CRKLPVGFYC 480
NFEDGFCGWT QGTLSPHTPQ WQVRTLKDAR FQDHQDHALL LSTTDVPASE SATVTSATFP 540
APIKSSPCEL RMSWLIRGVL RGNVSLVLVE NKTGKEQGRM VWHVAAYEGL SLWQWMVLPL 600
LDVSDRFWLQ MVAWWGQGSR AIVAFDNISI SLDCYLTISG EDKILQNTAP KSRNLFERNP 660
NKELKPGENS PRQTPIFDPT VHWLFTTCGA SGPHGPTQAQ CNNAYQNSNL SVEVGSEGPL 720
KGIQIWKVPA TDTYSISGYG AAGGKGGKNT MMRSHGVSVL GIFNLEKDDM LYILVGQQGE 780
DACPSTNQLI QKVCIGENNV IEEEIRVNRS VHEWAGGGGG GGGATYVFKM KDGVPVPLII 840
AAGGGGRAYG AKTDTFHPER LENNSSVLGL NGNSGAAGGG GGWNDNTSLL WAGKSLQEGA 900
TGGHSCPQAM KKWGWETRGG FGGGGGGCSS GGGGGGYIGG NAASNNDPEM DGEDGVSFIS 960
PLGILYTPAL KVMEGHGEVN IKHYLNCSHC EVDECHMDPE SHKVICFCDH GTVLAEDGVS 1020
CIVSPTPEPH LPLSLILSVV TSALVAALVL AFSGIMIVYR RKHQELQAMQ MELQSPEYKL 1080
SKLRTSTIMT DYNPNYCFAG KTSSISDLKE VPRKNITLIR GLGHGAFGEV YEGQVSGMPN 1140
DPSPLQVAVK TLPEVCSEQD ELDFLMEALI ISKFNHQNIV RCIGVSLQSL PRFILLELMA 1200
GGDLKSFLRE TRPRPSQPSS LAMLDLLHVA RDIACGCQYL EENHFIHRDI AARNCLLTCP 1260
GPGRVAKIGD FGMARDIYRA SYYRKGGCAM LPVKWMPPEA FMEGIFTSKT DTWSFGVLLW 1320
EIFSLGYMPY PSKSNQEVLE FVTSGGRMDP PKNCPGPVYR IMTQCWQHQP EDRPNFAIIL 1380
ERIEYCTQDP DVINTALPIE YGPLVEEEEK VPVRPKDPEG VPPLLVSQQA KREEERSPAA 1440
PPPLPTTSSG KAAKKPTAAE ISVRVPRGPA VEGGHVNMAF SQSNPPSELH KVHGSRNKPT 1500
SLWNPTYGSW FTEKPTKKNN PIAKKEPHDR GNLGLEGSCT VPPNVATGRL PGASLLLEPS 1560
SLTANMKEVP LFRLRHFPCG NVNYGYQQQG LPLEAATAPG AGHYEDTILK SKNSMNQPGP 1620
<211>136
<212>PRT
<213> human
<221> protein encoded by HISTIH3B gene
<400>11
MARTKQTARK STGGKAPRKQ LATKAARKSA PATGGVKKPH RYRPGTVALR EIRRYQKSTE 60
LLIRKLPFQR LVREIAQDFK TDLRFQSSAV MALQEACEAY LVGLFEDTNL CAIHAKRVTI 120
MPKDIQLARR IRGERA 136
<211>393
<212>PRT
<213> human
<221> protein encoded by p53 gene
<400>12
MEEPQSDPSV EPPLSQETFS DLWKLLPENN VLSPLPSQAM DDLMLSPDDI EQWFTEDPGP 60
DEAPRMPEAA PPVAPAPAAP TPAAPAPAPS WPLSSSVPSQ KTYQGSYGFR LGFLHSGTAK 120
SVTCTYSPAL NKMFCQLAKT CPVQLWVDST PPPGTRVRAM AIYKQSQHMT EVVRRCPHHE 180
RCSDSDGLAP PQHLIRVEGN LRVEYLDDRN TFRHSVVVPY EPPEVGSDCT TIHYNYMCNS 240
SCMGGMNRRP ILTIITLEDS SGNLLGRNSF EVRVCACPGR DRRTEEENLR KKGEPHHELP 300
PGSTKRALPN NTSSSPQPKK KPLDGEYFTL QIRGRERFEM FRELNEALEL KDAQAGKEPG 360
GSRAHSSHLK SKKGQSTSRH KKLMFKTEGP DSD 393

Claims (10)

1. A serum protein marker for early screening and diagnosis of breast cancer, characterized by: the serum protein marker is any one or combination of more than two of proteins encoded by CEBPA, RalA, p62, PTCH1, BRCA2, HRAS, FUBP1, GATA3, FGFR3, ALK, HISTIH3B or p53 genes.
2. The serum protein marker for early screening and diagnosis of breast cancer according to claim 1, wherein: the serum protein marker is any one or combination of more than two of proteins coded by p62, PTCH1, BRCA2, HRAS, FUBP1 or GATA3 genes.
3. The serum protein marker for early screening and diagnosis of breast cancer according to claim 2, wherein: the serum protein markers are combinations of proteins encoded by p62, PTCH1, BRCA2, HRAS, FUBP1 and GATA3 genes.
4. The serum protein marker for early screening and diagnosis of breast cancer according to claim 3, wherein: the protein coded by the p62 gene has an amino acid sequence shown in SEQ ID NO. 3; the protein coded by the PTCH1 gene has an amino acid sequence shown as SEQ ID NO. 4; the protein coded by the BRCA2 gene has an amino acid sequence shown in SEQ ID NO. 5; the protein coded by the HRAS gene has an amino acid sequence shown as SEQ ID NO. 6; the protein coded by the FUBP1 gene has an amino acid sequence shown in SEQ ID NO. 7; the protein coded by the GATA3 gene has an amino acid sequence shown in SEQ ID NO. 8.
5. A kit, characterized in that: comprising a serum protein marker as defined in any one of claims 1-4 for early screening and diagnosis of breast cancer.
6. The kit of claim 5, wherein: the serum protein marker is coated on a solid phase carrier.
7. The kit of claim 6, wherein: the solid phase carrier is made of polyvinyl chloride, polystyrene, polyacrylamide or cellulose.
8. The kit of any one of claims 5 to 7, wherein: the kit also comprises any one or the combination of more than two of positive control serum, negative control serum, confining liquid, sample diluent, a second antibody, second antibody diluent, washing liquid, developing liquid or stopping liquid.
9. The detection method using the serum protein marker for early screening and diagnosis of breast cancer according to claim 3, characterized in that: the method comprises the following steps:
1) coating and sealing each serum protein marker, and then cleaning;
2) performing primary antibody incubation and cleaning with the diluted serum to be detected, and performing secondary antibody incubation and cleaning;
3) stopping the reaction after the color development of the color development system, and measuring the absorbance value;
4) by OD450-OD620The relative OD value is obtained, then the blank contrast is deducted, the absorbance value is substituted into the following formula to calculate the predicted probability P value,
P=1/(1+Exp(-(-9.295+16.882×ODp62+6.528×ODPTCH1+8.975×ODBRCA2-29.232×ODHRAS+25.514×ODFUBP1+13.090×ODGATA3)));
OD in the formulap62、ODPTCH1、ODBRCA2、ODHRAS、ODFUBP1、ODGATA3The relative OD value of each serum protein marker is subtracted by the absorbance value of a blank control;
when the P value is more than or equal to 0.5, the breast cancer sample is preliminarily judged;
and when the P value is less than 0.5, the sample is preliminarily judged to be a normal sample.
10. The assay method using serum protein markers for early screening and diagnosis of breast cancer according to claim 9, wherein: further comprising the step 5) of calculating the positive rate, the sensitivity specificity, the john index, the positive predictive value, the negative predictive value, the positive likelihood ratio and the negative likelihood ratio of each serum protein marker;
step 6), parallel joint detection: and (3) constructing a parallel joint detection model of the serum protein marker by using a logistic regression model, and calculating a joint diagnosis result.
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Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111653315A (en) * 2020-05-29 2020-09-11 杭州广科安德生物科技有限公司 Method for constructing mathematical model for detecting breast cancer in vitro and application thereof
CN112345755A (en) * 2020-09-23 2021-02-09 杭州凯保罗生物科技有限公司 Biomarker of breast cancer and application thereof
CN113687076A (en) * 2021-07-14 2021-11-23 郑州大学 Combined detection serum marker for early diagnosis of lung adenocarcinoma and application thereof
CN113702636A (en) * 2021-08-02 2021-11-26 中国医学科学院北京协和医院 Application of plasma autoantibody marker in early diagnosis of breast cancer and characterization of molecular subtype thereof
CN113866412A (en) * 2021-09-07 2021-12-31 山东博科生物产业有限公司 Sensitive total prostate specific antigen detection kit
WO2022012291A1 (en) * 2020-07-11 2022-01-20 成都益安博生物技术有限公司 Peripheral blood tcr marker for breast cancer and detection kit and application thereof
CN114113624A (en) * 2020-08-28 2022-03-01 香港城市大学深圳研究院 Method and device for developing disease markers by using immunoglobulin-associated proteome
CN114113611A (en) * 2021-12-13 2022-03-01 郑州大学 Biomarker for liver cancer diagnosis and detection kit
CN115684116A (en) * 2022-11-08 2023-02-03 深圳市睿法生物科技有限公司 ctDNA multi-dimensional epigenetic marker difference identification method for tumor screening
CN116008548A (en) * 2022-11-18 2023-04-25 汕头大学医学院附属肿瘤医院 Detection kit, detection device and application of postoperative recurrence and metastasis of breast cancer
CN116539885A (en) * 2023-07-06 2023-08-04 上海秤信生物科技有限公司 Tumor autoantigen/antibody combination for early detection of breast cancer and application thereof

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030124543A1 (en) * 1999-01-15 2003-07-03 Stuart Susan G. Breast cancer marker
WO2009091230A2 (en) * 2008-01-18 2009-07-23 Bioinfra Inc. Protein marker for breast-cancer monitoring, diagnosis and screening, and a breast-cancer monitoring, diagnosis and screening method using the same
CN102393457A (en) * 2011-08-24 2012-03-28 绍兴市人民医院 Serum diagnostic reagent for early-stage breast cancer and detection method thereof
WO2013104102A1 (en) * 2012-01-09 2013-07-18 苏州工业园区为真生物医药科技有限公司 Breast cancer diagnosis and indication marker
WO2013133675A1 (en) * 2012-03-08 2013-09-12 (주)바이오메디앙 Multiple biomarker sets for breast cancer diagnosis, detection method therefor, and breast cancer diagnostic kit comprising antibody against same
CN105866418A (en) * 2016-06-03 2016-08-17 广州华弘生物科技有限公司 Triple test diagnostic kit for breast cancer
CN109752547A (en) * 2018-12-17 2019-05-14 杭州京北生物科技有限公司 A kind of breast cancer autoimmune antibody detection kit and the preparation method and application thereof
CN110286235A (en) * 2019-07-10 2019-09-27 郑州大学 A kind of joint-detection blood serum designated object, kit and detection method for liver cancer early screening and diagnosis

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030124543A1 (en) * 1999-01-15 2003-07-03 Stuart Susan G. Breast cancer marker
WO2009091230A2 (en) * 2008-01-18 2009-07-23 Bioinfra Inc. Protein marker for breast-cancer monitoring, diagnosis and screening, and a breast-cancer monitoring, diagnosis and screening method using the same
CN102393457A (en) * 2011-08-24 2012-03-28 绍兴市人民医院 Serum diagnostic reagent for early-stage breast cancer and detection method thereof
WO2013104102A1 (en) * 2012-01-09 2013-07-18 苏州工业园区为真生物医药科技有限公司 Breast cancer diagnosis and indication marker
JP2015503920A (en) * 2012-01-09 2015-02-05 スージョウ マイクロダイアグ バイオメディスン カンパニー リミテッド Biomarkers for breast cancer prediction and diagnosis
WO2013133675A1 (en) * 2012-03-08 2013-09-12 (주)바이오메디앙 Multiple biomarker sets for breast cancer diagnosis, detection method therefor, and breast cancer diagnostic kit comprising antibody against same
CN105866418A (en) * 2016-06-03 2016-08-17 广州华弘生物科技有限公司 Triple test diagnostic kit for breast cancer
CN109752547A (en) * 2018-12-17 2019-05-14 杭州京北生物科技有限公司 A kind of breast cancer autoimmune antibody detection kit and the preparation method and application thereof
CN110286235A (en) * 2019-07-10 2019-09-27 郑州大学 A kind of joint-detection blood serum designated object, kit and detection method for liver cancer early screening and diagnosis

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BERT VOGELSTEIN 等: ""Cancer genome landscapes"", 《SCIENCE》 *
张海莲等: "乳腺癌家系遗传易感基因研究进展", 《中国肿瘤临床》 *
蔡铭泉等: "受体三阴性乳腺癌的研究进展", 《临床肿瘤学杂志》 *
马言: ""基于蛋白芯片筛选卵巢癌相关抗原及其自身抗体的诊断价值"", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111653315A (en) * 2020-05-29 2020-09-11 杭州广科安德生物科技有限公司 Method for constructing mathematical model for detecting breast cancer in vitro and application thereof
WO2022012291A1 (en) * 2020-07-11 2022-01-20 成都益安博生物技术有限公司 Peripheral blood tcr marker for breast cancer and detection kit and application thereof
CN114113624A (en) * 2020-08-28 2022-03-01 香港城市大学深圳研究院 Method and device for developing disease markers by using immunoglobulin-associated proteome
CN112345755A (en) * 2020-09-23 2021-02-09 杭州凯保罗生物科技有限公司 Biomarker of breast cancer and application thereof
CN112345755B (en) * 2020-09-23 2023-06-16 杭州凯保罗生物科技有限公司 Biomarker for breast cancer and application thereof
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CN113687076A (en) * 2021-07-14 2021-11-23 郑州大学 Combined detection serum marker for early diagnosis of lung adenocarcinoma and application thereof
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CN113702636B (en) * 2021-08-02 2024-03-08 中国医学科学院北京协和医院 Application of plasma autoantibody marker in early diagnosis of breast cancer and molecular subtype characterization thereof
CN113866412A (en) * 2021-09-07 2021-12-31 山东博科生物产业有限公司 Sensitive total prostate specific antigen detection kit
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CN115684116A (en) * 2022-11-08 2023-02-03 深圳市睿法生物科技有限公司 ctDNA multi-dimensional epigenetic marker difference identification method for tumor screening
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