CN113488121B - Intestinal microecology precise detection and evaluation intervention system and method for colon cancer - Google Patents

Intestinal microecology precise detection and evaluation intervention system and method for colon cancer Download PDF

Info

Publication number
CN113488121B
CN113488121B CN202110840140.XA CN202110840140A CN113488121B CN 113488121 B CN113488121 B CN 113488121B CN 202110840140 A CN202110840140 A CN 202110840140A CN 113488121 B CN113488121 B CN 113488121B
Authority
CN
China
Prior art keywords
intestinal
colon cancer
evaluation
unit
flora
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110840140.XA
Other languages
Chinese (zh)
Other versions
CN113488121A (en
Inventor
李岩
梁婧
解奇
李俊伟
王宣
秦楠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Realbio Technology Co ltd
Shandong Qianfoshan Hospital
Original Assignee
Shanghai Realbio Technology Co ltd
Shandong Qianfoshan Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Realbio Technology Co ltd, Shandong Qianfoshan Hospital filed Critical Shanghai Realbio Technology Co ltd
Priority to CN202110840140.XA priority Critical patent/CN113488121B/en
Publication of CN113488121A publication Critical patent/CN113488121A/en
Application granted granted Critical
Publication of CN113488121B publication Critical patent/CN113488121B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/40ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Medical Informatics (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

The invention relates to the technical field of medical treatment, in particular to a colon cancer intestinal microecology precise detection and evaluation intervention system and method, wherein the system comprises an acquisition unit and a cancer evaluation unit, and the cancer evaluation unit comprises a processing unit and an evaluation establishing unit; the acquisition unit screens and extracts intestinal flora of colon cancer patients with different stages and healthy people, and sends the extracted pathological data to the initial integration unit of the processing unit for integration; obtaining a biomarker related to colon cancer of the intestinal cancer group according to the analysis unit, and obtaining a flora imaging graph of the intestinal cancer group and a healthy control group through the imaging unit; the model building unit builds an accurate evaluation model of colon cancer intestinal flora imbalance according to the flora imaging graph, and solves the problems that early colon cancer symptoms are not obvious, diagnosis and treatment are easy to deviate, and accurate corresponding treatment and prevention cannot be carried out.

Description

Intestinal microecology precise detection and evaluation intervention system and method for colon cancer
Technical Field
The invention relates to the technical field of medical treatment, in particular to a colon cancer intestinal microecology precise detection and evaluation intervention system and method.
Background
Colon cancer is one of nine common malignant tumors in China, and the incidence rate of the colon cancer accounts for the 3 rd position of gastrointestinal tumors. In China, men are 5 th to death of malignant tumors and women are 6 th to death of colon cancer deaths. Colon cancer is mainly adenocarcinoma, mucinous adenocarcinoma, and undifferentiated carcinoma. The general form is polypoid, ulcer, etc. Patients with chronic colitis, colon polyp, male obesity, etc. are susceptible people. The comprehensive treatment effect of the traditional Chinese medicine is good before and after operation, chemoradiotherapy and the like of most diseases.
Colorectal cancer is one of the common malignancies, including colon cancer and rectal cancer. Colon cancer surgery is one of the most commonly performed surgical formulas of abdominal surgery, and has important significance in guiding clinical treatment by knowing the pre-operative intestinal flora condition of colon cancer patients and the influence of intestinal preparation and surgical wounds on the intestinal flora.
In recent years, the incidence rate of colon cancer in China is in an ascending trend, and the literature reports that the incidence rate is closely related to life style, heredity, large intestine adenoma and the like at home and abroad. However, the pathogenesis of colon cancer has not been substantially elucidated. The intestinal flora of the human body is an important factor for forming the environment in the intestinal tract, the genetic control of the host and the external environment where the host is positioned influence the balance of the intestinal microecology of the human body, and whether the host is healthy or not has close connection with the balance of the intestinal microecology of the human body.
More and more studies have shown that: therefore, the pathogenic factors and pathogenesis of colorectal cancer are researched from the intestinal microecology level, the marker for intestinal tumor occurrence is found from the intestinal flora, a new way for early diagnosis and biological control of the colorectal cancer is developed, and a new research thought is provided for the intestinal cancer control from the ecology level.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a colon cancer intestinal microecology accurate detection evaluation intervention system and method, which are used for solving the problems that the early colon cancer symptom is not obvious, diagnosis and treatment are easy to deviate and accurate corresponding treatment and prevention cannot be carried out;
the invention is realized by the following technical scheme:
in a first aspect, the invention discloses a colon cancer intestinal microecology precise detection and evaluation intervention system, which comprises an acquisition unit and a cancer evaluation unit, wherein the cancer evaluation unit comprises a processing unit and an evaluation establishing unit; the acquisition unit screens and extracts intestinal flora of colon cancer patients with different stages and healthy people, and sends the extracted pathological data to the initial integration unit of the processing unit for integration; obtaining a biomarker related to colon cancer of the intestinal cancer group according to the analysis unit, and obtaining a flora imaging graph of the intestinal cancer group and a healthy control group through the imaging unit; the model building unit builds an accurate evaluation model of colon cancer intestinal flora imbalance according to the flora imaging graph; the evaluation establishing unit determines the influence of intestinal flora of the colon cancer patient according to different patients in different subareas in the comparison unit and surgical and chemotherapy schemes, and the evaluation result output unit outputs the accurate intervention treatment suggestion of the next colon cancer of the current patient.
Preferably, the evaluation establishing unit further comprises a storage unit, wherein the storage unit fits the pathology data acquired by the initial integration unit, and combines the pathology data with historical storage data to provide a data model reference for the comparison unit.
Preferably, the early integration unit identifies the colon cancer patient and the healthy person who is cancer-free, and determines an intestinal flora detection method based on the discriminant values calculated by macrogenomics and population verification.
Preferably, the analysis unit adopts the intestinal flora detection method to completely and randomly design average comparison values of two groups of samples of the intestinal cancer group and the healthy control group, and records flora change data under preset conditions.
Preferably, the comparison unit performs unified text numerical conversion and missing value processing on the flora change data of the two groups of samples, outputs clinical information of the two groups of samples and a matched quantitative feature selection algorithm, takes the three-dimensional medical image of the flora imaging chart as an input feature vector, combines the clinical information through the quantitative feature selection algorithms, and the evaluation result output unit identifies features related to various clinical indexes of the colon cancer patient and gives the suggestion.
In a second aspect, the invention discloses a method for accurately detecting, evaluating and intervening colon cancer intestinal microecology, which is used for realizing the accurate detecting, evaluating and intervening system for colon cancer intestinal microecology of the first aspect, and screening and extracting intestinal flora of colon cancer patients and healthy people in different stages; obtaining a biomarker related to colon cancer; through metagenomics and crowd verification, a precise and efficient intestinal flora detection method capable of being used for early diagnosis of colon cancer is established; outputting three-dimensional medical images of flora imaging graphs of the intestinal cancer group and the healthy control group; constructing an accurate evaluation model of colon cancer intestinal flora imbalance, and realizing early diagnosis of colon cancer; establishing an evaluation intervention system according to the influence of different regional patients and operation and chemotherapy schemes on intestinal flora of colon cancer patients and combining with an accurate evaluation model; advice is provided for accurate intervention therapy of the next colon cancer patient through systematic evaluation.
Preferably, the intestinal flora detection method specifically comprises the following steps: selecting a plurality of colon cancer patients and a plurality of healthy people, dividing the colon cancer patients into the intestinal cancer group and the healthy control group, respectively carrying out anaerobic culture and aerobic culture on intestinal bacteria by using a plurality of selective culture mediums, extracting total genome DNA of the intestinal bacteria in the feces, carrying out high-throughput sequencing analysis, and carrying out complete random design of average comparison of two samples on each result of the intestinal cancer group and the healthy control group by adopting statistical software.
Preferably, the intestinal bacteria culturing step specifically comprises the following steps: and respectively collecting morning excrement of the intestinal cancer group and the healthy control group, carrying out aerobic and anaerobic culture, identifying strains and carrying out colony counting.
Preferably, the step of extracting total genome DNA of the intestinal bacteria specifically comprises the following steps: extracting total genome DNA of intestinal bacteria in the feces by adopting a kit method, and performing second-generation high-throughput sequencing analysis to obtain a biomarker result related to the colon cancer.
Preferably, the method further comprises counting the evaluation results of each system evaluation for providing advice for the accurate intervention treatment of the next colon cancer patient, evaluating the risk level of the colon cancer patient corresponding to the colon cancer according to the counting results, and providing a plan treatment plan for the follow-up similar detection patient.
The beneficial effects of the invention are as follows:
1. the invention further researches the intestinal flora of colorectal cancer patients, compares the intestinal microecology change caused by the intestinal flora of healthy people, is beneficial to preventing colorectal cancer and aggravation of colon cancer, does not need to prepare too many unnecessary prevention and treatment measures for light patients, determines a special treatment plan through a butt joint evaluation scheme, and provides advice for accurate intervention treatment of the next colon cancer patients. Can avoid bacterial translocation caused by dysbacteriosis and damage to intestinal barrier function, and can reduce postoperative infectious complications. The invention strengthens the research of intestinal flora translocation of colorectal cancer patients, adopts various measures, and has important significance for preventing and treating colorectal cancer.
2. The invention determines the quantity proportion of the flora by an intestinal flora detection method and the quantity difference has statistical significance, determines the change of the environment in the intestinal canal by analyzing the possible reasons of different flora, further determines the pathological changes of the epithelial cell function of the intestinal mucosa of the patient, and analyzes the early, middle and late stages of the diagnosis of the colon cancer patient.
3. The invention obtains the total genome DNA of intestinal flora of intestinal cancer group and healthy control group by using the kit, and has simple extraction method, high purity of obtained DNA and simpler operation. By comparing the DNA change characteristics of the intestinal flora members in the two groups with the DNA change characteristics of the intestinal flora members in the two groups from the molecular level, a reference basis can be provided for discussing the gene change rule of the intestinal flora members in the intestinal cancer group.
4. The invention is found by comparing two microorganism identification methods, the fungus genus detected by the high-flux method is more diversified, and the strain cultivated by the culture medium method is contained in the high-flux sequencing fungus genus. The culture medium method is used for culturing strains, is more convenient to observe, is suitable for doctors to judge the strains, increases the treatment time, improves the treatment guarantee for colon cancer patients, prolongs the time spent by sequencing compared with the culture medium method, can provide reference basis for colon cancer research in the later stage, improves the accuracy of strain quantity measurement, compensates for the missing of macroscopic identification of culture observation of the culture medium, effectively improves the strain identification level, can directly obtain the proportion of the corresponding strains, meets the research needs of the treatment of colon cancer patients in the later stage, and has important significance for analyzing the mechanism of intestinal flora and host symbiosis.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system architecture of the present invention;
fig. 2 is a schematic flow chart of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The embodiment discloses a colon cancer intestinal tract microecology accurate detection evaluation intervention system, referring to fig. 1, comprising an acquisition unit 1 and a cancer evaluation unit 2, wherein the cancer evaluation unit 2 comprises a processing unit 3 and an evaluation establishing unit 4; the acquisition unit 1 screens and extracts intestinal flora of colon cancer patients with different stages and healthy people, and sends the extracted pathological data to the initial integration unit 5 of the processing unit 3 for integration; the initial integration unit 5 identifies the colon cancer patient and the healthy person who is cancer-free, and determines an intestinal flora detection method based on the discriminant values calculated through metagenomics and population verification.
Obtaining a biomarker related to colon cancer of the intestinal cancer group according to the analysis unit 6, and obtaining a flora imaging graph of the intestinal cancer group and a healthy control group through the imaging unit 7; the model building unit 8 builds an accurate evaluation model of colon cancer intestinal flora imbalance according to the flora imaging graph; the evaluation establishing unit 4 outputs the accurate intervention therapy advice of the next colon cancer of the current patient by the evaluation result output unit 11 by determining the influence of the intestinal flora of the colon cancer patient according to the patients of different subareas in the comparison unit 10 and the surgical and chemo-therapeutic schemes.
The evaluation establishing unit 4 further includes a storage unit 9, where the storage unit 9 fits the pathology data collected by the initial integration unit 5, and combines the pathology data with historical stored data to provide a data model reference for the comparison unit 10.
The analysis unit 6 adopts the intestinal flora detection method to completely and randomly design average value comparison values of the intestinal cancer group and the healthy control group, and records flora change data under preset conditions.
The comparison unit 10 performs unified text numerical conversion and missing value processing on the flora change data of the two groups of samples, outputs clinical information of the two groups of samples and a matched quantitative feature selection algorithm, takes the three-dimensional medical image of the flora imaging chart as an input feature vector, combines the clinical information through the quantitative feature selection algorithms, and the evaluation result output unit 11 identifies features related to various clinical indexes of the colon cancer patient and gives the advice.
The invention further researches the intestinal flora of colorectal cancer patients, compares the intestinal microecology change caused by the intestinal flora of healthy people, is beneficial to preventing colorectal cancer and aggravation of colon cancer, does not need to prepare too many unnecessary prevention and treatment measures for light patients, determines a special treatment plan through a butt joint evaluation scheme, and provides advice for accurate intervention treatment of the next colon cancer patients. Can avoid bacterial translocation caused by dysbacteriosis and damage to intestinal barrier function, and can reduce postoperative infectious complications. The invention strengthens the research of intestinal flora translocation of colorectal cancer patients, adopts various measures, and has important significance for preventing and treating colorectal cancer.
The invention determines the quantity proportion of the flora by an intestinal flora detection method and the quantity difference has statistical significance, determines the change of the environment in the intestinal canal by analyzing the possible reasons of different flora, further determines the pathological changes of the epithelial cell function of the intestinal mucosa of the patient, and analyzes the early, middle and late stages of the diagnosis of the colon cancer patient.
Example 2
The embodiment discloses a colon cancer intestinal tract microecology accurate detection and evaluation intervention method, which is used for realizing the colon cancer intestinal tract microecology accurate detection and evaluation intervention system of the embodiment 1. Referring to fig. 2, the method comprises the following steps:
s1, screening and extracting intestinal flora of colon cancer patients and healthy people in different stages;
s2, obtaining colon cancer-related intestinal bacteria through an intestinal flora culture method;
s3, obtaining a biomarker related to colon cancer through high-throughput analysis;
s4, jing Hong genomics and crowd verification, and establishing an accurate and efficient intestinal flora detection method for early diagnosis of colon cancer;
s5, outputting a flora imaging map three-dimensional medical image of the intestinal cancer group and the healthy control group;
s6, constructing an accurate evaluation model of colon cancer intestinal flora imbalance, and realizing early diagnosis of colon cancer;
s7, establishing an evaluation intervention system according to the influence of different regional patients and the operation and chemotherapy schemes on intestinal flora of colon cancer patients and combining with an accurate evaluation model;
and S8, providing advice for accurate intervention treatment of the colon cancer patient in the next step through systematic evaluation.
The intestinal flora culture method specifically comprises the following steps: selecting a plurality of colon cancer patients and a plurality of healthy people, dividing the colon cancer patients into the intestinal cancer group and the healthy control group, collecting morning excrement of different groups of people, respectively carrying out anaerobic culture and aerobic culture on intestinal bacteria by using a plurality of selective culture mediums, identifying strains, carrying out colony counting, and carrying out totally random design on each result of the intestinal cancer group and the healthy control group by adopting statistical software for average comparison of two samples.
The intestinal flora detection method specifically comprises the following steps: extracting total genome DNA of intestinal bacteria in the feces by adopting a kit method, and carrying out second-generation high-throughput sequencing and inter-group difference analysis to obtain a biomarker result related to the colon cancer.
The invention determines the quantity proportion of the flora and the quantity difference by the intestinal flora culture and detection method, has statistical significance, determines the change of the intestinal environment by analyzing the possible reasons of different flora, further determines the pathological changes of the intestinal mucosa epithelial cell function of the patient, and analyzes the early, middle and late stages of the diagnosis of the colon cancer patient.
The invention obtains the total genome DNA of intestinal flora of intestinal cancer group and healthy control group by using the kit, and has simple extraction method, high purity of obtained DNA and simpler operation. By comparing the DNA change characteristics of the intestinal flora members in the two groups with the DNA change characteristics of the intestinal flora members in the two groups from the molecular level, a reference basis can be provided for discussing the gene change rule of the intestinal flora members in the intestinal cancer group.
The method further comprises the steps of counting the evaluation result of each system evaluation for providing advice for accurate intervention treatment of the next colon cancer patient, evaluating the risk level of the colon cancer patient corresponding to the colon cancer according to the counting result, and providing a plan treatment plan for the follow-up similar detection patient.
The invention further researches the intestinal flora of colorectal cancer patients, compares the intestinal microecology change caused by the intestinal flora of healthy people, is beneficial to preventing colorectal cancer and aggravation of colon cancer, does not need to prepare too many unnecessary prevention and treatment measures for light patients, determines a special treatment plan through a butt joint evaluation scheme, and provides advice for accurate intervention treatment of the next colon cancer patients. Can avoid bacterial translocation caused by dysbacteriosis and damage to intestinal barrier function, and can reduce postoperative infectious complications. The invention strengthens the research of intestinal flora translocation of colorectal cancer patients, adopts various measures, and has important significance for preventing and treating colorectal cancer.
In this example, 30 colon cancer patients and 10 healthy people were selected, the intestinal cancer group and the healthy control group were divided, morning feces were collected, 7 selective media were used to perform anaerobic culture and aerobic culture of intestinal bacteria, strains were identified and colony counts were performed, and the results of the intestinal cancer group and the healthy control group were subjected to a completely random design of two-sample average comparison using SPSS 16.0 statistical software.
The kit method is adopted to extract total genome DNA of intestinal bacteria in the feces, high-throughput sequencing analysis is carried out, and the result shows that compared with a healthy control group, the intestinal bacteria quantity is increased, the escherichia coli quantity is obvious, the lactobacillus and the bifidobacterium are obviously reduced, the quantity proportion of anaerobic bacteria and aerobic bacteria is reversed, and the comparison difference of the two groups of data has statistical significance.
The possible reasons for the intestinal cancer are analyzed, and the intestinal cancer patients are mainly in the middle and late stage when the intestinal cancer patients are diagnosed, and intestinal mucosa epithelial cell functions of the patients are changed, so that intestinal peristalsis is abnormal (diarrhea or constipation), the environment in the intestinal tract is changed, and on one hand, the numbers of intestinal bacteria and aerobic bacteria are increased. On the other hand, the number of escherichia coli is significantly increased, and the number of bifidobacteria is significantly reduced, which is related to the reduction of intestinal immunity, the proportion of lactobacillus capable of producing lactic acid in a healthy control group is higher than that in a intestinal cancer group, and the low incidence risk of healthy human intestinal cancer may be related to the effect of some beneficial bacteria in the human intestinal tract on resisting colon cancer. When intestinal microecology is in a stable state, the short chain fatty acid produced by intestinal bacteria fermentation can reduce the pH of feces, and has the effects of inhibiting the growth of cancer cells and promoting the apoptosis of cancer cells.
The comparison of the two identification methods shows that the bacteria detected by the high-throughput method are more diversified, and the strains cultured by the culture medium method are contained in the high-throughput sequencing bacteria. The strain cultured by the culture medium method is more convenient to observe, is suitable for doctors to judge the strain, increases the treatment time, improves the treatment guarantee for colon cancer patients, prolongs the time spent by sequencing compared with the culture medium method, can provide reference basis for colon cancer research in the later stage, improves the accuracy of strain quantity measurement, compensates for missing of macroscopic identification of culture and observation of the culture medium, effectively improves the strain identification level, can directly obtain the proportion of the corresponding strain, meets the research needs of the treatment of colon cancer patients in the later stage, and has important significance for analyzing the mechanism of intestinal flora and host symbiosis.
The invention can quantitatively analyze bacteroides, fusobacterium, clostridium, bacteroides fragilis, clostridium necrosis, clostridium botulinum and clostridium difficile in fecal flora before and after operation of colon cancer patients by combining the real-time fluorescence quantitative PCR technology, compares the difference of intestinal flora before and after operation of colon cancer patients, reveals the influence of colon cancer treatment on the microecology of intestinal related flora, and provides a theoretical basis for clinical treatment.
Example 3
The embodiment provides a method for accurately detecting, evaluating and intervening intestinal microecology of colon cancer in embodiment 2, and further discloses that uncertainty factors in the intestinal cancer group and the healthy control group flora change are eliminated, colorectal cancer is closely related to the intestinal environment change caused by eating habits, intestinal flora is an important factor forming the intestinal environment, and fecal bacteria comprise aerobe, anaerobe, facultative anaerobe fungi and the like, about 99% are anaerobe, and a small amount of aerobe, proteus, bacillus, saccharomycete and the like.
The present example represents the ratio of anaerobic bacteria to aerobic bacteria in terms of the ratio of bifidobacteria/E.coli. When a significant increase in E.coli is detected in colon cancer patients, and a significant decrease in bifidobacteria is detected, the ratio of anaerobic to aerobic numbers is inverted. I.e. can be speculated as a possible cause: the intestinal peristalsis absorption function of the intestinal function lesions of colorectal cancer patients is reduced, so that the environment in the intestinal tract is changed, and the number of aerobic bacteria is increased; the significant increase of escherichia coli and bifidobacterium is related to the significant decrease of intestinal immunity; increased dietary habit modification of lipid and high protein foods results in altered flora associated with colorectal cancer formation and possibly colon cancer development; a few strains in gram-negative bacillus are positive to nitrate reductase, and bacteria with activity of the nitrate reductase in the stomach and intestine can make nitrate and amide in food generate nitrite and nitrosamine, so that the occurrence of gastrointestinal tract cancer is promoted.
By comparing the number and variety changes of different flora, the corresponding biomarkers are screened to construct an AUC curve, so that an accurate evaluation model can be obtained, corresponding help can be provided for colon cancer patients in time, therefore, research on intestinal flora translocation of colon cancer patients is enhanced, various measures are taken, the prevention and treatment of colon cancer are possibly significant, an effective detection means is provided for the composition, dynamic change and related research of intestinal flora of colon cancer patients, and a new visual angle is provided for clinically diagnosing and treating postoperative intestinal flora imbalance of colon cancer patients.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (5)

1. An evaluation intervention method based on a colon cancer intestinal tract microecology precise detection evaluation intervention system is characterized by comprising the following steps of: the system comprises an acquisition unit (1) and a cancer evaluation unit (2), wherein the cancer evaluation unit (2) comprises a processing unit (3) and an evaluation establishing unit (4); the acquisition unit (1) screens and extracts intestinal flora of colon cancer patients with different stages and healthy people, and sends the extracted pathological data to the initial integration unit (5) of the processing unit (3) for integration; obtaining a biomarker related to colon cancer of the intestinal cancer group according to the analysis unit (6), and obtaining a flora imaging graph of the intestinal cancer group and a healthy control group through the imaging unit (7); a model building unit (8) builds an accurate evaluation model of colon cancer intestinal flora imbalance according to the flora imaging diagram; the evaluation establishing unit (4) is used for outputting accurate intervention treatment advice of the next colon cancer of the current patient by the evaluation result outputting unit (11) through determining the influence of intestinal flora of the colon cancer patient according to different regional patients and operation and chemotherapy schemes in the comparison unit (10);
the evaluation establishing unit (4) further comprises a storage unit (9), wherein the storage unit (9) fits the pathology data acquired by the initial integration unit (5), and combines the pathology data with historical storage data to provide a data model reference for the comparison unit (10);
the initial integration unit (5) identifies the colon cancer patient and the healthy person without cancer, and determines an intestinal flora detection method based on a discriminant value calculated through metagenomics and population verification;
the analysis unit (6) adopts the intestinal flora detection method to completely and randomly design average comparison values of two groups of samples of the intestinal cancer group and the healthy control group, and records flora change data under preset conditions;
the comparison unit (10) performs unified text numerical conversion and missing value processing on the flora change data of the two groups of samples, outputs clinical information of the two groups of samples and a matched quantitative feature selection algorithm, takes the three-dimensional medical image of the flora imaging chart as an input feature vector, combines the clinical information through a plurality of quantitative feature selection algorithms, and the evaluation result output unit (11) identifies features related to various clinical indexes of the colon cancer patient and gives out suggestions;
the method comprises the following steps:
s1, screening and extracting intestinal flora of colon cancer patients and healthy people in different stages;
s2, obtaining colon cancer-related intestinal bacteria through an intestinal flora culture method;
s3, obtaining a biomarker related to colon cancer through high-throughput analysis;
s4, jing Hong genomics and crowd verification, and establishing an intestinal flora detection method for early diagnosis of colon cancer;
s5, outputting a flora imaging map three-dimensional medical image of the intestinal cancer group and the healthy control group;
s6, constructing an accurate evaluation model of colon cancer intestinal flora imbalance, and realizing early diagnosis of colon cancer;
s7, establishing an evaluation intervention system according to the influence of different regional patients and the operation and chemotherapy schemes on intestinal flora of colon cancer patients and combining with an accurate evaluation model;
and S8, providing advice for accurate intervention treatment of the colon cancer patient in the next step through systematic evaluation.
2. The evaluation intervention method based on the colon cancer intestinal microecological precise detection evaluation intervention system according to claim 1, which is characterized in that: in the step S4, the intestinal flora detection method specifically comprises the following steps: selecting a plurality of colon cancer patients and a plurality of healthy people, dividing the colon cancer patients into the intestinal cancer group and the healthy control group, respectively carrying out anaerobic culture and aerobic culture on intestinal bacteria by using a plurality of selective culture mediums, extracting total genome DNA of the intestinal bacteria in a fecal sample, carrying out high-throughput sequencing analysis, and carrying out full random design of average number comparison of the intestinal cancer group and the healthy control group by adopting statistical software.
3. The evaluation intervention method based on the colon cancer intestinal microecological precise detection evaluation intervention system according to claim 2, which is characterized in that: the intestinal bacteria culturing steps specifically comprise: and respectively collecting morning excrement of the intestinal cancer group and the healthy control group, carrying out aerobic and anaerobic culture, identifying strains and carrying out colony counting.
4. The evaluation intervention method based on the colon cancer intestinal microecological precise detection evaluation intervention system according to claim 3, wherein the evaluation intervention method is characterized in that: the step of extracting total genome DNA of the intestinal bacteria specifically comprises the following steps: extracting total genome DNA of intestinal bacteria in the feces by adopting a kit method, and carrying out second-generation high-throughput sequencing and data analysis to obtain a biomarker result related to the colon cancer.
5. The evaluation intervention method based on the colon cancer intestinal tract microecology precise detection evaluation intervention system according to claim 4, which is characterized in that: the method further comprises the steps of counting the evaluation result of each system evaluation for providing advice for accurate intervention treatment of the next colon cancer patient, evaluating the risk level of the colon cancer patient corresponding to the colon cancer according to the counting result, and providing a plan treatment plan for the follow-up similar detection patient.
CN202110840140.XA 2021-07-24 2021-07-24 Intestinal microecology precise detection and evaluation intervention system and method for colon cancer Active CN113488121B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110840140.XA CN113488121B (en) 2021-07-24 2021-07-24 Intestinal microecology precise detection and evaluation intervention system and method for colon cancer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110840140.XA CN113488121B (en) 2021-07-24 2021-07-24 Intestinal microecology precise detection and evaluation intervention system and method for colon cancer

Publications (2)

Publication Number Publication Date
CN113488121A CN113488121A (en) 2021-10-08
CN113488121B true CN113488121B (en) 2024-03-15

Family

ID=77942454

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110840140.XA Active CN113488121B (en) 2021-07-24 2021-07-24 Intestinal microecology precise detection and evaluation intervention system and method for colon cancer

Country Status (1)

Country Link
CN (1) CN113488121B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2426615A1 (en) * 2010-08-06 2012-03-07 Roche Diagnostics GmbH Evaluation device for assisting in the assessment of colorectal cancer
WO2012135824A2 (en) * 2011-03-31 2012-10-04 H. Lee Moffitt Cancer Center And Research Institute, Inc. Method of screening for colon cancer using biomarkers
CN107480474A (en) * 2017-08-01 2017-12-15 山东师范大学 Grader modeling evaluation method of calibration and system based on gut flora abundance
CN107506582A (en) * 2017-08-16 2017-12-22 周礼红 A kind of health risk forecasting system based on enteric microorganism
CN109852663A (en) * 2019-04-02 2019-06-07 天津科技大学 A kind of method and system based on machine vision high throughput screening of microorganisms
CN112080565A (en) * 2019-06-14 2020-12-15 韩书文 Colorectal cancer-related prediction system, electronic device, and storage medium
JP2021012485A (en) * 2019-07-04 2021-02-04 合同会社H.U.グループ中央研究所 Method for supporting inspection, first inspection support device, second inspection support device, and computer program
CN112553344A (en) * 2021-02-22 2021-03-26 天津奇云诺德生物医学有限公司 Biomarker related to colorectal cancer and application thereof

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050014165A1 (en) * 2003-07-18 2005-01-20 California Pacific Medical Center Biomarker panel for colorectal cancer
WO2019033224A1 (en) * 2017-08-16 2019-02-21 极诺生技股份有限公司 Method for establishing intestinal flora database and related detection system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2426615A1 (en) * 2010-08-06 2012-03-07 Roche Diagnostics GmbH Evaluation device for assisting in the assessment of colorectal cancer
WO2012135824A2 (en) * 2011-03-31 2012-10-04 H. Lee Moffitt Cancer Center And Research Institute, Inc. Method of screening for colon cancer using biomarkers
CN107480474A (en) * 2017-08-01 2017-12-15 山东师范大学 Grader modeling evaluation method of calibration and system based on gut flora abundance
CN107506582A (en) * 2017-08-16 2017-12-22 周礼红 A kind of health risk forecasting system based on enteric microorganism
CN109852663A (en) * 2019-04-02 2019-06-07 天津科技大学 A kind of method and system based on machine vision high throughput screening of microorganisms
CN112080565A (en) * 2019-06-14 2020-12-15 韩书文 Colorectal cancer-related prediction system, electronic device, and storage medium
JP2021012485A (en) * 2019-07-04 2021-02-04 合同会社H.U.グループ中央研究所 Method for supporting inspection, first inspection support device, second inspection support device, and computer program
CN112553344A (en) * 2021-02-22 2021-03-26 天津奇云诺德生物医学有限公司 Biomarker related to colorectal cancer and application thereof

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
T-RFLP技术检测结直肠癌患者肠道黏膜相关菌群改变;薛林云等;《中国微生态学杂志》;20171031;第1140-1144页 *

Also Published As

Publication number Publication date
CN113488121A (en) 2021-10-08

Similar Documents

Publication Publication Date Title
CN109943636B (en) Colorectal cancer microbial marker and application thereof
CN105368944B (en) Biomarker of detectable disease and application thereof
CN104540962B (en) Diabetes biomarker and its application
Xiao et al. Alterations of circulating bacterial DNA in colorectal cancer and adenoma: A proof-of-concept study
CN111218513B (en) Peripheral blood extracellular vesicle microRNA biomarker for early diagnosis of lung cancer and application thereof
CN110029169A (en) It is a kind of detect gastric cancer miRNA marker combination and kit
Jin et al. Gut microbiota in patients after surgical treatment for colorectal cancer
Braunstein et al. The role of cystoscopy in the diagnosis of Hunner's ulcer disease
JP6603136B2 (en) Mapping method for diagnosis and / or prognosis prediction of ulcerative colitis
WO2024016990A1 (en) Tumor prediction system and method based on tongue coating microorganisms, and application thereof
CN107435062A (en) Screen good pernicious peripheral blood gene marker of small pulmonary nodules and application thereof
Wei et al. Analysis of bacterial diversity and community structure in gastric juice of patients with advanced gastric cancer
CN115287350A (en) Application of exosome miR-106b-3p, miR-10a-3p and the like in lung cancer diagnosis
CN112899339B (en) Application of streptomycete aureofaciens as marker for detecting and diagnosing hypertension to preparation of corresponding detection tool
CN113488121B (en) Intestinal microecology precise detection and evaluation intervention system and method for colon cancer
CN106319038B (en) Gene marker for early screening of gastric cancer and application thereof
Cronin et al. Colorectal microbiota after removal of colorectal cancer
CN110114471A (en) For diet intervention or the adjoint diagnostic method of fecal microorganism group's transplantation treatment irritable bowel syndrome
Qingbo et al. Identification of enterotype and its predictive value for patients with colorectal cancer
CN114369673B (en) Colorectal adenoma biomarker, kit and screening method of biomarker
Hong et al. Detection of potential pathogen in pancreatic fluid aspiration with metagenomic next-generation sequencing in patients with suspected infected pancreatic necrosis
CN114934116A (en) Early gastric cancer prognosis differential gene and recurrence prediction model
CN114480636A (en) Application of bile bacteria as diagnosis and prognosis marker of hepatic portal bile duct cancer
Sun et al. Microbial biomarkers for colorectal cancer identified with random forest model
WO2020251051A1 (en) Prediction method, prediction device and prediction program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant