Biomarker for predicting responsiveness of lung adenocarcinoma to platinum-containing double-drug chemotherapy, and related product of biomarker

A marker, lung adenocarcinoma technology, applied in the field of biomedicine, can solve problems such as difficult to predict and sensitivity

CN113832232AInactive Publication Date: 2021-12-24QINGDAO MEDINTELL BIOMEDICAL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-12-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a biomarker for predicting the responsiveness of lung adenocarcinoma to platinum-containing double-drug chemotherapy and a related product of the biomarker. The miRNA comprises miR-31, miR-449a and / or miR-483-5p, and verification shows that the miRNA serving as the marker for predicting the sensitivity of the lung adenocarcinoma to the platinum-containing double-drug chemotherapy has relatively high diagnosis efficiency and has a good application prospect in clinically assisting doctors to judge the sensitivity or the reactivity of a subject to the platinum-containing double-drug chemotherapy.
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Description

technical field

[0001] The invention belongs to the technical field of biomedicine, in particular, the invention relates to biomarkers and related products for predicting the responsiveness of lung adenocarcinoma to platinum-containing double-drug chemotherapy. Background technique

[0002] Lung cancer (Lung cancer) is the malignant tumor with the highest morbidity and mortality worldwide, among which non-small cell lung cancer (Non-small cell lung cancer, NSCLC) accounts for 80%, and lung adenocarcinoma (Lung adenocarcinoma) is the most common form of NSCLC. Main histological types (Ji P, Diederichs S, Wang W, et al. MALAT-1, a novel noncoding RNA, and thymosin β4 predict metastasis and survival in early-stage non-small cell lung cancer [J]. Oncogene, 2003, 22 (39 ):8031-8041.). Although the current research and clinical trials on lung cancer are progressing rapidly, the prognosis of lung cancer is still poor, 80-85% of patients are diagnosed at advanced stage, and the 5-y...

Examples

Embodiment 1

[0075] Example 1 Gene screening related to sensitivity of lung adenocarcinoma to platinum-containing double-drug chemotherapy

[0076] 1. Data source

[0077] Before pathologically diagnosed lung adenocarcinoma patients received platinum-containing double-drug chemotherapy, their tumor tissues were collected, and according to whether lung adenocarcinoma responded to platinum-containing double-drug chemotherapy, combined with RECIST (Response Evaluation Criteria for Solid Tumors) guidelines, the above-mentioned Patients with lung adenocarcinoma were divided into response group (R, responder) or non-response group (NR, non-responder); the patients with lung adenocarcinoma had not received platinum-based chemotherapy before receiving platinum-containing double-drug chemotherapy; all The responding group includes lung adenocarcinoma patients with complete response (CR, complete response) and lung adenocarcinoma patients with partial response (PR, partial response), and the non-res...

Embodiment 2

[0082] Application of differentially expressed genes screened in Example 2 in predicting sensitivity of lung adenocarcinoma to platinum-containing double-drug chemotherapy

[0083] 1. Experimental method

[0084] For the genes differentially expressed between the responder group and the non-response group screened in Example 1, receiver operating characteristic (ROC) analysis was performed using the R package "pROC" (version 1.15.0), and the receiver operating characteristic (ROC) was calculated. The area under the characteristic curve (AUC) was used to evaluate the accuracy of a single differentially expressed gene, a combination of any two differentially expressed genes, and a combination of three differentially expressed genes in predicting the sensitivity of lung adenocarcinoma to platinum-containing double-drug chemotherapy, wherein the The range of AUC value is 0-1;

[0085] Among them, when judging the diagnostic efficiency of a single differentially expressed gene in ...