CN111471755A - Biomarker combination for microsatellite instability detection, kit and application thereof - Google Patents

Biomarker combination for microsatellite instability detection, kit and application thereof Download PDF

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CN111471755A
CN111471755A CN202010420704.XA CN202010420704A CN111471755A CN 111471755 A CN111471755 A CN 111471755A CN 202010420704 A CN202010420704 A CN 202010420704A CN 111471755 A CN111471755 A CN 111471755A
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李夏静
王磊
许青
陈才夫
熊磊
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Abstract

The invention relates to a biomarker combination and discloses a primer composition, a method and a kit for microsatellite instability detection based on a next generation sequencing technology. The primer composition of the invention includes an upstream primer set and a downstream primer set, corresponding to 30 microsatellite instability sites. The method of the invention simplifies the detection operation process to a great extent and reduces the detection cost, and has the characteristics of high flux, high sensitivity and high specificity.

Description

Biomarker combination for microsatellite instability detection, kit and application thereof
Technical Field
The invention relates to a biomarker combination, in particular to a primer composition, a method and a kit for microsatellite instability detection based on a next generation sequencing technology.
Background
Microsatellites are single or multiple tandem repeat nucleotide sequences widely distributed in the human genome, consisting of 1-6 nucleotides, highly polymorphic, most of which are usually 15-60 repeats, usually located in the intergenic region, promoter, UTR and coding region, during normal human cell replication, with the help of the mismatch repair system, the molecular structure of the Microsatellite remains stable, avoiding genetic changes, ensuring high fidelity of DNA replication, but under the influence of certain factors, such as HNPCC (lean syndrome) or the DNA of a Microsatellite in cancer, mismatches, insertions or deletions of bases of a double-stranded molecule, causing structural changes of the Microsatellite, which is called Microsatellite Instability (MSI), the Microsatellite Instability status is classified into three, high uncertainty Microsatellite Instability (MSI-H) and low degree Microsatellite Instability (MSI-L) and Microsatellite stability (msiite), the clinical diagnosis of colorectal cancer has been recommended by clinical guidelines for detecting morbid cancer, and the clinical diagnosis of colorectal cancer has been carried out with the clinical guidelines for detecting morbid cancer using microstation L.
Currently, the commonly used MSI detection techniques mainly fall into the following two main categories: DNA mismatch repair defect detection: the related genes causing MSI, mainly DNA mismatch repair system (MMR) genes, are subjected to gene mutation detection, or the expressed protein level is detected by an immunohistochemical method. And 2, PCR detection (MSI-PCR), namely selecting specific primers, taking self normal tissues as a control, carrying out PCR or multiple fluorescence PCR amplification on the microsatellite locus in vitro, and analyzing the size of the amplified product through gel electrophoresis development or Sanger fragment size to determine the state of the MSI, wherein the product fragment has the change of mobility. In the two types of technologies commonly used at present, for the detection of the DNA mismatch repair gene defect, the traditional gene sequencing method, such as Sanger sequencing and the like, has the problems of high cost, low flux, low precision, high requirements on experimental conditions and the like, is not popularized yet in clinical application, and for an immunohistochemical method, the defects of high requirements on sample quality, complex operation, low flux, excessive result definition depending on the subjective opinion of a reader and the like exist.
The PCR method has become a common detection method at present and has been proved to be the most effective primary screening means. However, the method for detecting five micro-satellite genes by common PCR tube separation and performing gel electrophoresis on the product has the defects of complex operation, high cost and the like. However, the common PCR method has the problems of complicated operation procedure, long time consumption, low sensitivity, high uncertainty of detection results and the like; in the multiplex PCR detection, the interference relationship among different primers is very complex, the amplification product has high mixing degree, the requirements on the selection and concentration of the primers are high, the number of detectable microsatellite loci in single detection is limited, and the discrimination between MSI-H and MSS is not high.
In order to solve the problems of limited quantity of the microsatellite loci, low sensitivity, high uncertainty of detection results and the like, the invention enriches 30 microsatellite loci with stronger discrimination by using a multiplex PCR method, performs sequencing by using a next generation sequencing technology, and simultaneously evaluates the mutation states of a plurality of microsatellite loci by combining with a bioinformatics analysis means. The method has the advantages of simple operation, short time consumption, high flux, improved detection sensitivity and accuracy, and solves the problems of the conventional detection method.
Disclosure of Invention
The invention relates to a biomarker combination, and a primer composition, a method and a kit for microsatellite instability detection based on a next generation sequencing technology.
A biomarker combination comprising a combination of 30 microsatellite loci selected from the group consisting of L oci _19, L oci _483, L0 oci _162, L oci _62, L oci _127, L oci _420, L4 oci _328, L oci _231, L6 oci _262, L oci _46, L oci _481, L oci _376, L oci _9, L oci _316, L oci _387, L2 oci _245, L oci _213, L oca _402, L oci _270, L oci _140, L oci _339, L oci _260, L oci _203, L oci _486, L _94, L _ NR _ L, L _ 72, L _ OCi _ 82, L _486 _ NR _ 72.
A primer composition, which comprises an upstream primer set and a downstream primer set, wherein each primer in the upstream primer set specifically binds to the upstream of each microsatellite locus, and each primer in the downstream primer set specifically binds to the downstream of each microsatellite locus.
Preferably, each primer of the upstream primer set and/or each primer of the downstream primer set is a rhPCR primer (RNase H-Dependent PCR, see U.S. Pat. No. US12433896, publication No. US20090325169A 1). Preferably, the primer composition, the upstream primer set thereof, is selected from the group consisting of SEQ ID nos: 1-30; the downstream primer group is selected from a primer group consisting of SEQ ID No: 31-60 primers.
A kit for detecting the state of a microsatellite based on a next-generation sequencing platform comprises the primer composition.
Further, the detection of microsatellite status uses Next Generation Sequencing (NGS) technology.
Further, the microsatellite status includes an altitude microsatellite instability (MSI-H) and a microsatellite stability (MSS) type.
The application of a primer composition in preparing a kit for detecting the state of a microsatellite comprises an upstream primer group and a downstream primer group, wherein each primer of the upstream primer group and/or each primer of the downstream primer group is a rhPCR primer.
Further, the upstream primer group consists of a primer with a sequence of SEQ ID No: 1-30 of primer composition; the downstream primer group consists of a primer with a sequence of SEQ ID No: 31-60.
Use of a biomarker comprising the 30 microsatellite loci as defined above in the preparation of a kit for detecting the status of a microsatellite. Further, the microsatellite status includes an altitude microsatellite instability (MSI-H) and a microsatellite stability (MSS) type.
The invention uses the rhPCR primer and the amplification method, avoids the interference between different primers, can simultaneously detect more microsatellite loci in single detection, improves the discrimination of MSI-H and MSS, and has simple operation, short time consumption and high flux.
The invention uses the amplification method to enrich the microsatellite locus, compared with the capture method, the amplification method has no obvious preference to the length of the microsatellite, when the length of the microsatellite locus is increased, effective signal enrichment is still kept, the MSI-H and MSS can be distinguished more conveniently, and the sensitivity is high.
The combination of 30 microsatellite loci is used for detecting the state of the microsatellite, and has high accuracy and sensitivity, high discrimination of MSI-H and MSS and good detection stability.
Drawings
FIG. 1 is a graph of correlation of length-depth of microsatellite loci from capture to the present invention
FIG. 2. verification of the reliability results of the present invention by PCR gold Standard
FIG. 3 detection sensitivity of the present invention
Detailed Description
Reference will now be made in detail to various exemplary embodiments of the invention, the detailed description should not be construed as limiting the invention but as a more detailed description of certain aspects, features and embodiments of the invention.
It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Further, for numerical ranges in this disclosure, it is understood that the upper and lower limits of the range, and each intervening value therebetween, is specifically disclosed. Every smaller range between any stated value or intervening value in a stated range and any other stated or intervening value in a stated range is encompassed within the invention. The upper and lower limits of these smaller ranges may independently be included or excluded in the range.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although only preferred methods and materials are described herein, any methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention.
The invention uses an amplicon multiplex PCR method to enrich 30 MSI loci with stronger discrimination, uses the next generation sequencing technology to carry out sequencing, and combines the bioinformatics analysis means to carry out the judgment of the microsatellite state.
Example 1 preference of Capture and amplification methods for microsatellite site Length
Optionally, the same microsatellite loci are respectively subjected to capture method and amplicon method for library construction, and second-generation sequencing analysis is carried out.
The results are shown in FIG. 1: in the capture method, the capture depth is gradually reduced along with the increase of the length of the microsatellite locus, and the capture depth is more seriously reduced after the length reaches 24 bp; the amplification method can effectively avoid the defect of the capture method relatively, and in the aspect of signal enrichment of the microsatellite loci, the longer the microsatellite loci are better in the aspect of signal enrichment, so that the MSI-H and the MSS can be distinguished more conveniently. This is consistent with the length of 5 microsatellite loci (BAT-25, BAT-26, NR-21, NR-24 and MONO-27) in the gold standard PCR method being >20bp, so that the amplification method has stronger discrimination ability in the aspect of microsatellite instability detection.
Example 2 selection of microsatellite loci
Screening microsatellite loci with better performance in an intron (intron) area from WES sequencing data, screening loci with better performance in the whole exon range from MOSAIC paper, wherein the number of candidate loci is 108, and finally screening optimal 30 loci for calculating the msi-value by performing performance evaluation (the evaluation method is shown in the following model establishment) on each locus.
Establishing a model:
(1) extracting a repeat length distribution of each site (i);
(2) converting the repeat length distribution condition into proportional distribution;
(3) calculating the cumulative distribution of the repeat length of the position (i) according to the proportional distribution in the step (2);
(4) and (3) respectively averaging the cumulative distribution of MSI-H and MSS samples in the training set aiming at each site (i), and then finding repeat length (the length is defined as cutpoint) when the difference of the two types of sample cumulative distribution average values is maximum. Classifying according to the size relationship between repeat length of reads and cutpoint, wherein MSI reads are defined as being smaller than or equal to cutpoint, MSS reads are defined as being larger than cutpoint, and the average value of the cumulative probability of MSS samples corresponding to cutpoint is pi(defined as baseline probability);
(5) based on the training model, we assume that site (i) has NiThe stripe probability of the site is pi, and the cutpoint is Ci. Finding out n MSI reads number of the site according to the cutpointiAnd the MSS reads number is Ni-Ni. We find the probability of this site to be P by the following formula.
Figure BDA0002496758390000061
If the cumulative probability P (X ≧ n) of the sitei) Is significantly less than 0.001, we believe that this point supports MSI-H. Based on the discriminative power of the loci in the training sample, the locus sensitivities are ranked, and the optimal 30 loci (as shown in table 1) are selected.
(6) Finally, 30 sites are integrated to calculate MSI-value, namely the ratio of the number of the sites supporting MSI-H to the total number of the sites; and obtaining cutoff according to MSI-value distribution of samples in the training set, wherein the cutoff is set to be 0.4, MSI-H is higher than 0.4, and MSS is lower than 0.4.
The microsatellite loci selected based on the above model are shown in Table 1 below, wherein the mutation type refers to the reference sequence of the locus.
TABLE 1 microsatellite locus information
Figure BDA0002496758390000062
Figure BDA0002496758390000071
Example 3 reliability verification
For the 30 microsatellite loci shown in Table 1, the upstream primer sequences and the downstream primer sequences used were designed as shown in tables 2 and 3, respectively. All primers used were blocking-cleavable rhPCR primers (from Integrated DNA Technologies, IDT) with rA, rG, rC, rU in the sequence each representing one RNA base, 3SpC3 attached to the 3 'end of each sequence as a means for 3' end nucleic acid blocking (Blocker).
TABLE 2 sequence information Table of upstream primers
Position of Type of mutation Numbering Upstream primer sequence 5'-3'
Loci_19 (T)11 SEQ ID No.1 CTATACCTTTCGAATTTCCTCCTACAArGTGTTG
Loci_483 (A)11 SEQ ID No.2 GTGTGTGATCATTCGTTCCTAGrGGAAAT
Loci_162 (A)11 SEQ ID No.3 CCTCTGGGTGAACTTCATCTTTTrATTTTA
Loci_62 (A)12 SEQ ID No.4 TCCACACTTACCCTGATACATrCACAGC
Loci_127 (A)12 SEQ ID No.5 CAAGGAAATTTTCACTTCACGGGrAAAAAT
Loci_420 (T)12 SEQ ID No.6 TGCTCTACAGGGTCAATATTGAAAAArGAACTA
Loci_328 (A)12 SEQ ID No.7 GCCCAATTCACTTTGACTTCCTArAAAAAT
Loci_231 (A)12 SEQ ID No.8 AAAGAGGCATTTACATTCCAGArCTTGGT
Loci_262 (A)12 SEQ ID No.9 CAGACCCCTGATATCTGTGGrAAAAAT
Loci_46 (A)12 SEQ ID No.10 AGATTGGCACTGATAAACCTTGArGGTGTC
Loci_481 (T)13 SEQ ID No.11 ACATATTTTGGAATGAAGCAATTTCAGrCACAGC
Loci_376 (A)13 SEQ ID No.12 CTCTGCACTCTTCTACTGAGGrCTTTNT
Loci_9 (A)14 SEQ ID No.13 GTCTCAGGATCTGGCArGAGCCG
Loci_316 (T)14 SEQ ID No.14 CATAACAAATCCCTCAAGCCTAGrCATACT
Loci_387 (T)14 SEQ ID No.15 AGCTCTCTGTTCCCACArCAGAGT
Loci_245 (A)14 SEQ ID No.16 ATGGATTTCATGTTGAAGAATAGTTrUCTGCT
Loci_213 (A)15 SEQ ID No.17 CTTAATCCTCGACCACATTTACCrGACAAC
Loci_402 (T)15 SEQ ID No.18 GCCAGGAGCTATTAATATTTGAGTCrUAAGGT
Loci_270 (A)15 SEQ ID No.19 TAGATAAATACTGAGTACCTGTCTGrGGCTGT
Loci_140 (A)15 SEQ ID No.20 TCATTGACTCATTCCCTTATTTTCATArCCAAGG
Loci_339 (A)15 SEQ ID No.21 TTTCTCTCTTTCAGGGTGATCTTrGGAAAT
Loci_348 (T)15 SEQ ID No.22 CTGCAGCTTGAATGAGAATATCArCTGTCG
Loci_260 (A)15 SEQ ID No.23 GACATCAAATCCAAGCTTTTGAAGrGTAGGG
Loci_203 (T)16 SEQ ID No.24 AAGGACTTCAGGTAAGCTCArGGAGCA
Loci_83 (A)16 SEQ ID No.25 AAGTATATGTGTGTTAGAGATTCAAGTAArAAAAAT
Loci_94 (T)17 SEQ ID No.26 AGACTCCAGATAAATCAAAAGTAGTTTCTrCAAGGA
Loci_486 (T)20 SEQ ID No.27 GTGTTTTCTCTATTTTATGTGGAGAGTrUTTTCT
Loci_430 (A)22 SEQ ID No.28 GTAACTCTTTCTACTGGCACTAAGrCGATTC
NR24 (T)23 SEQ ID No.29 CCTGGGCCCAGTCCTATrUTTTTA
NR27 (A)26 SEQ ID No.30 AAGTCTGCAGTTGAAAAGCCrCAACGA
TABLE 3 sequence information of downstream primers
Position of Type of mutation Numbering Downstream primer sequence 5'-3'
Loci_19 (T)11 SEQ ID No.31 CTTTTAAACTTTTGTGAATGAGAGGGArAAAAAT
Loci_483 (A)11 SEQ ID No.32 AGTACTCGTGGAAGATGTTTGrCTTGGT
Loci_162 (A)11 SEQ ID No.33 GTCTCTGCCTCTTTTATTGGGArCAGTTA
Loci_62 (A)12 SEQ ID No.34 GTTTCTGATTGCACATTTTGGGrGCTTTA
Loci_127 (A)12 SEQ ID No.35 AATTTGGATCCCGTACCACTTAGArCATCTT
Loci_420 (T)12 SEQ ID No.36 AGCTTCTGTATTTTCCCCTGAGTAArGACACC
Loci_328 (A)12 SEQ ID No.37 GGTATCTCCTTCAGTGTTTCATCTrUAAACT
Loci_231 (A)12 SEQ ID No.38 GTCAGACTGACTTGGAAGTATCArCTCATA
Loci_262 (A)12 SEQ ID No.39 GGAGCTGGTGTTTCTTCCArCATTAC
Loci_46 (A)12 SEQ ID No.40 GTGAAAATGATCTTTGTTGGGTTTTrUCCTTA
Loci_481 (T)13 SEQ ID No.41 CGTAGAATTTGTTCTGAAATTCTACCCTrAAAAAT
Loci_376 (A)13 SEQ ID No.42 AGATCACTATGTTGTGCACCArGGATCA
Loci_9 (A)14 SEQ ID No.43 TTCCCCTATTACTTGACAGTrGTTGTA
Loci_316 (T)14 SEQ ID No.44 GAAGCATTTGGTGTTTTGGTAGAAATrCTTTAT
Loci_387 (T)14 SEQ ID No.45 GAGGCTTAGCTGGAATAACArCCANAT
Loci_245 (A)14 SEQ ID No.46 TTTTTGGGATCTACAAGGTAACTTrUTTTTA
Loci_213 (A)15 SEQ ID No.47 GCCATTCTGAACATGCTTAATAAAAAGrATGCTA
Loci_402 (T)15 SEQ ID No.48 TAGAACATTAGCCCCAGATCGAArCCTGAT
Loci_270 (A)15 SEQ ID No.49 CCATGGTCTACAAATCATGTATTTTArACTTTA
Loci_140 (A)15 SEQ ID No.50 TTTTTCTGTATAGCTCATTTGAAAGATTTrUTTTTA
Loci_339 (A)15 SEQ ID No.51 GAGATTGCCATAACTTGCTTTAAArCAATTA
Loci_348 (T)15 SEQ ID No.52 TCGCAAATGAGATTCTCCAAAAGArAAGGAT
Loci_260 (A)15 SEQ ID No.53 CATGCTTGTGACTTATTCATGGTTTrCCTTTA
Loci_203 (T)16 SEQ ID No.54 CAACAGCTATTTCCTTTAAGTGGGrGNAAAT
Loci_83 (A)16 SEQ ID No.55 CTGATTTCTGTGGCTTGTTTAGAGrCTATGC
Loci_94 (T)17 SEQ ID No.56 CCGTTCCCAGCTAAATCAGAAAAArAAAAAT
Loci_486 (T)20 SEQ ID No.57 GCAATACCAATCTTTCAGAGCTGrUGTTNT
Loci_430 (A)22 SEQ ID No.58 CTTCTTTACTGGGTTTCTATTTCAAAArUCTTTA
NR24 (T)23 SEQ ID No.59 ATTGTGCCATTGCATTCCAArCCTGGC
NR27 (A)26 SEQ ID No.60 TGACCAATAAGCAAGTCACTGrUGGCTA
That is, in the primer composition of the present embodiment, the upstream primer set is selected from the group consisting of the primers having the sequences of SEQ ID Nos: 1-30; the downstream primer group is selected from a primer group consisting of SEQ ID No: 31-60 primers.
30 MSI-H and 60 MSS clinical FFPE DNA were selected as experimental samples.
The detection steps are as follows:
1) preparation of experimental samples: a ReliaPrep FFPE gDNA Miniprep System (promega, Cat. NO: A2352) kit was used to extract DNA from paraffin-embedded specimens (formalin-embedded, FFPE).
2) Target region amplification 20u L reaction systems were prepared as follows (MSI _ FWD and MSI _ REV refer to forward and reverse primer mixtures, respectively, i.e., primer sets of tables 2 and 3, both from IDT corporation):
TABLE 4 target region amplification reaction System
Figure BDA0002496758390000101
Volume of DNA X ul: the amount of DNA put into the library is 50ng, the volume of the DNA put into the library is determined as the ratio of the total amount of the DNA to the concentration of the DNA according to the concentration of the extracted DNA, and X is used for expressing the input volume of different samples.
A first round of amplification against the target region was performed using a ProFlex PCR System PCR instrument (Applied biosystems by life technologies, model: ProFlex) following the reaction procedure;
TABLE 5 target region amplification procedure
Figure BDA0002496758390000102
Figure BDA0002496758390000111
3) Purification of the target amplification product: the Agencour AMPure XP beads are selected and used for purifying a target product by using 80% ethanol (which is prepared for use).
The specific purification steps are as follows:
a. adding 30 μ l of magnetic beads (1.5x magnetic beads) into the PCR tube containing the reaction solution, shaking and mixing uniformly, centrifuging for a short time, and incubating at room temperature for 10 min;
b. standing on a magnetic frame until the liquid is clear, and removing the supernatant by using a pipette (taking care not to touch the magnetic beads and keeping the PCR tube on the magnetic frame all the time);
c. adding 200 mul of 80% ethanol into the PCR tube, standing for 30s, and removing the supernatant;
d. repeating c;
e. sucking liquid in the PCR tube as clean as possible by using a 10-microliter gun head, and standing at room temperature until the magnetic beads are dried;
f. adding 22 mul of nuclease-free water, taking down the PCR tube from the magnetic frame, shaking and mixing uniformly, and centrifuging for a short time;
g. incubating at room temperature for 5min, placing the PCR tube on a magnetic frame, standing until the liquid is clear, sucking 20 μ l of supernatant, and adding into a new PCR tube;
h. adding 30 mul of magnetic beads into the PCR tube filled with the supernatant, shaking and uniformly mixing, centrifuging for a short time, and incubating for 10min at room temperature;
i. standing on a magnetic frame until the liquid is clear, and removing the supernatant by using a pipette (taking care not to touch the magnetic beads and keeping the PCR tube on the magnetic frame all the time);
g. adding 200 mul of 80% ethanol into the PCR tube, standing for 30s, and removing the supernatant;
k. repeating g;
l, sucking liquid in the PCR tube as clean as possible by using a 10-microliter gun head, and standing at room temperature until the magnetic beads are dried;
m. adding 20ul of reaction liquid prepared according to the table 5 into the dried magnetic beads, shaking and uniformly mixing, incubating at room temperature for 3min, and then placing on a PCR instrument for PCR reaction.
4) Amplification of target product (Index PCR) reaction system was prepared according to table 6:
TABLE 6 target product amplification reaction System
Figure BDA0002496758390000121
Amplification was performed according to the following reaction procedure;
Figure BDA0002496758390000122
5) purification of the target library: the method comprises the steps of selecting Agencour AMPure XP beads, purifying a target product by using 80% ethanol (which is used for preparation now), and carrying out quantitative quality inspection on a purified library.
The specific purification steps are as follows:
a. adding 20 mul of magnetic beads (1.0x magnetic beads) into the PCR tube containing the reaction solution, shaking and uniformly mixing, centrifuging for a short time, and incubating at room temperature for 10 min;
b. standing on a magnetic frame until the liquid is clear, and removing the supernatant by using a pipette (taking care not to touch the magnetic beads and keeping the PCR tube on the magnetic frame all the time);
c. adding 200 mul of 80% ethanol into the PCR tube, standing for 30s, and removing the supernatant;
d. repeating c;
e. sucking liquid in the PCR tube as clean as possible by using a 10-microliter gun head, and standing at room temperature until the magnetic beads are dried;
f. adding 22 mul of nuclease-free water, taking down the PCR tube from the magnetic frame, shaking and mixing uniformly, and centrifuging for a short time;
g. and (3) incubating at room temperature for 5min, placing the PCR tube on a magnetic frame, standing until the liquid is clear, sucking 20 mu l of supernatant, and adding the supernatant into a new 1.5ml EP tube to obtain the library.
h. The constructed library was subjected to Qubit quantification and lab chip fragment analysis.
6) The library is subjected to on-machine sequencing and subjected to signal generation process analysis.
Msi-values were calculated according to the model of example 2 to determine microsatellite status of clinical samples.
The experimental results are as follows:
the results of the tests were performed on 30 MSI-H and 60 MSS clinical FFPE DNA samples and compared to the results using PCR gold standard assays.
The results are shown in FIG. 2, with a cutoff value of 0.4, MSS below 0.4, and MSI-H above 0.4; the detection results of 90 samples tested are all consistent with the gold standard, and the consistency rate is 100%.
Example 4 sensitivity comparison
The MSI samples were tested using the method of the present invention using extracted DNAs from the MSI-H cell line (SW48, Co115, HCT-8, L S180, AN3CA) and MSS cell line (HT55) mixed, assuming that the MSI-H cell line has a tumor content of 100% and the MSS cell line has a tumor content of 0% against the MSS cell line DNA, and the MSI-H cell line DNA was diluted to simulate a tumor content of 0.1%, 1%, 5%, 10%, respectively, and the testing procedure was as described in example 2 and example 3.
The comparative example used a conventional trapping method.
As a result, as shown in FIG. 3, the method L OD was detectable at 5% or less, whereas the conventional capture method L OD, which is a prior art method, was only detectable at 10%, and therefore, the sensitivity of the present invention was significantly advantageous.
Sequence listing
<110> Shanghai thinking Dibiomedical science and technology Co., Ltd
<120> biomarker combinations for microsatellite instability detection, kits and uses thereof
<130>LT2003002F
<160>60
<170>SIPOSequenceListing 1.0
<210>1
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>1
ctataccttt cgaatttcct cctacaagtg ttg 33
<210>2
<211>28
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>2
gtgtgtgatc attcgttcct agggaaat 28
<210>3
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>3
cctctgggtg aacttcatct tttatttta 29
<210>4
<211>27
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>4
tccacactta ccctgataca tcacagc 27
<210>5
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>5
caaggaaatt ttcacttcac gggaaaaat 29
<210>6
<211>32
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>6
tgctctacag ggtcaatatt gaaaaagaac ta 32
<210>7
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>7
gcccaattca ctttgacttc ctaaaaaat 29
<210>8
<211>28
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>8
aaagaggcat ttacattcca gacttggt 28
<210>9
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>9
cagacccctg atatctgtgg aaaaat 26
<210>10
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>10
agattggcac tgataaacct tgaggtgtc 29
<210>11
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>11
acatattttg gaatgaagca atttcagcac agc 33
<210>12
<211>27
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
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ctctgcactc ttctactgag gctttnt 27
<210>13
<211>22
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>13
gtctcaggat ctggcagagc cg 22
<210>14
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>14
cataacaaat ccctcaagcc tagcatact 29
<210>15
<211>23
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>15
agctctctgt tcccacacag agt 23
<210>16
<211>32
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>16
tgctctacag ggtcaatatt gaaaaagaac ta 32
<210>17
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>17
cttaatcctc gaccacattt accgacaac 29
<210>18
<211>31
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>18
gccaggagct attaatattt gagtcuaagg t 31
<210>19
<211>31
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>19
tagataaata ctgagtacct gtctgggctg t 31
<210>20
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>20
tcattgactc attcccttat tttcatacca agg 33
<210>21
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>21
tttctctctt tcagggtgat cttggaaat 29
<210>22
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>22
ctgcagcttg aatgagaata tcactgtcg 29
<210>23
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>23
gacatcaaat ccaagctttt gaaggtaggg 30
<210>24
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>24
aaggacttca ggtaagctca ggagca 26
<210>25
<211>35
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>25
aagtatatgt gtgttagaga ttcaagtaaa aaaat 35
<210>26
<211>35
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>26
agactccaga taaatcaaaa gtagtttctc aagga 35
<210>27
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>27
gtgttttctc tattttatgt ggagagtutt tct 33
<210>28
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>28
gtaactcttt ctactggcac taagcgattc 30
<210>29
<211>23
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>29
cctgggccca gtcctatutt tta 23
<210>30
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>30
aagtctgcag ttgaaaagcc caacga 26
<210>31
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>31
cttttaaact tttgtgaatg agagggaaaa aat 33
<210>32
<211>27
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>32
agtactcgtg gaagatgttt gcttggt 27
<210>33
<211>28
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>33
gtctctgcct cttttattgg gacagtta 28
<210>34
<211>28
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>34
gtttctgatt gcacattttg gggcttta 28
<210>35
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>35
aatttggatc ccgtaccact tagacatctt 30
<210>36
<211>31
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>36
agcttctgta ttttcccctg agtaagacac c 31
<210>37
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>37
ggtatctcct tcagtgtttc atctuaaact 30
<210>38
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>38
gtcagactga cttggaagta tcactcata 29
<210>39
<211>25
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>39
ggagctggtg tttcttccac attac 25
<210>40
<211>31
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>40
gtgaaaatga tctttgttgg gttttucctt a 31
<210>41
<211>34
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>41
cgtagaattt gttctgaaat tctaccctaa aaat 34
<210>42
<211>27
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>42
agatcactat gttgtgcacc aggatca 27
<210>43
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>43
ttcccctatt acttgacagt gttgta 26
<210>44
<211>32
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>44
gaagcatttg gtgttttggt agaaatcttt at 32
<210>45
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>45
gaggcttagc tggaataaca ccanat 26
<210>46
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>46
tttttgggat ctacaaggta acttutttta 30
<210>47
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>47
gccattctga acatgcttaa taaaaagatg cta 33
<210>48
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>48
tagaacatta gccccagatc gaacctgat 29
<210>49
<211>32
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>49
ccatggtcta caaatcatgt attttaactt ta 32
<210>50
<211>35
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>50
tttttctgta tagctcattt gaaagatttu tttta 35
<210>51
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>51
gagattgcca taacttgctt taaacaatta 30
<210>52
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>52
tcgcaaatga gattctccaa aagaaaggat 30
<210>53
<211>31
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>53
catgcttgtg acttattcat ggtttccttt a 31
<210>54
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>54
caacagctat ttcctttaag tggggnaaat 30
<210>55
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>55
ctgatttctg tggcttgttt agagctatgc 30
<210>56
<211>30
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>56
ccgttcccag ctaaatcaga aaaaaaaaat 30
<210>57
<211>29
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>57
gcaataccaa tctttcagag ctgugttnt 29
<210>58
<211>33
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>58
cttctttact gggtttctat ttcaaaauct tta 33
<210>59
<211>26
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>59
attgtgccat tgcattccaa cctggc 26
<210>60
<211>27
<212>DNA/RNA
<213> Artificial Sequence (Artificial Sequence)
<400>60
tgaccaataa gcaagtcact guggcta 27

Claims (10)

1. A biomarker combination comprising a combination of 30 microsatellite loci selected from the group consisting of L oci _19, L oci _483, L oci _162, L oci _62, L2 oci _127, L oci _420, L4 oci _328, L oci _231, L6 oci _262, L oci _46, L oci _481, L oci _376, L oci _9, L oci _316, L1 oci _387, L oci _245, L3 oci _213, L oci _402, L oci _270, L oci _140, L oci _339, L oci _260, L oci _203, L oci _486, L oci _83, L oci _ L, L _ NR _ L, L _ NR _ 72.
2. A primer composition comprising an upstream primer set and a downstream primer set, wherein each primer in the upstream primer set specifically binds upstream of the microsatellite site of claim 1 and each primer in the downstream primer set specifically binds downstream of the microsatellite site of claim 1.
3. The primer composition of claim 2, wherein each primer of the set of forward primers and/or each primer of the set of reverse primers is a rhPCR primer.
4. The primer composition of claim 3, wherein the set of forward primers consists of a primer having the sequence of SEQ ID No: 1-30 of primer composition; the downstream primer group consists of a primer with a sequence of SEQ ID No: 31-60.
5. A kit for detecting the state of a microsatellite based on a next generation sequencing platform, which comprises the primer composition according to any one of claims 2 to 4.
6. The kit of claim 5, wherein the microsatellite status includes a high microsatellite instability (MSI-H) and microsatellite stability (MSS) type.
7. The application of the primer composition in the preparation of the kit for detecting the microsatellite status comprises an upstream primer group and a downstream primer group, wherein each primer of the upstream primer group and/or each primer of the downstream primer group is a rhPCR primer.
8. The use of claim 7, wherein the set of forward primers consists of a primer having the sequence of SEQ ID No: 1-30 of primer composition; the downstream primer group consists of a primer with a sequence of SEQ ID No: 31-60.
9. Use of a biomarker combination according to claim 1 in the manufacture of a kit for detecting microsatellite status.
10. The application of claim 9, wherein the microsatellite status includes an altitude microsatellite instability (MSI-H) and a microsatellite stability (MSS) type.
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CN112708679A (en) * 2021-01-27 2021-04-27 厦门艾德生物医药科技股份有限公司 Biomarker group for detecting microsatellite instability of population and application thereof

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CN107513565A (en) * 2017-09-06 2017-12-26 南京世和基因生物技术有限公司 A kind of microsatellite instability Sites Combination, detection kit and its application
CN108949757A (en) * 2018-08-21 2018-12-07 元码基因科技(苏州)有限公司 Primer composition, kit and method based on two generation microarray datasets detection microsatellite instability
CN110760599A (en) * 2019-12-16 2020-02-07 吉林省水产科学研究院 Cannabis harfish microsatellite molecular marker locus, polymorphism primer and application

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CN103305508A (en) * 2013-06-03 2013-09-18 中国水产科学研究院黄海水产研究所 Marbled flounder microsatellite locus and primer
CN106701978A (en) * 2017-01-24 2017-05-24 厦门艾德生物医药科技股份有限公司 Human microsatellite instability (MSI) detection amplification primer composition and kit
CN107513565A (en) * 2017-09-06 2017-12-26 南京世和基因生物技术有限公司 A kind of microsatellite instability Sites Combination, detection kit and its application
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Publication number Priority date Publication date Assignee Title
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