A tumor microenvironment-related mRNA–ncRNA signature for prediction early relapse and chemotherapeutic sensitivity in early-stage lung adenocarcinoma
| العنوان: | A tumor microenvironment-related mRNA–ncRNA signature for prediction early relapse and chemotherapeutic sensitivity in early-stage lung adenocarcinoma |
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| المؤلفون: | Yang Zhang, Haiquan Chen, Yue Zhao, Zhendong Gao, Han Han, Hui Yuan, Shanbo Zheng |
| المصدر: | Journal of Cancer Research and Clinical Oncology. 147:3195-3209 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Adult, Male, Oncology, Cancer Research, medicine.medical_specialty, Lung Neoplasms, medicine.medical_treatment, DNA Mutational Analysis, Adenocarcinoma of Lung, Antineoplastic Agents, Transcriptome, Predictive Value of Tests, Internal medicine, Databases, Genetic, Tumor Microenvironment, medicine, Humans, RNA, Messenger, Stage (cooking), Aged, Neoplasm Staging, Proportional Hazards Models, Aged, 80 and over, Chemotherapy, Tumor microenvironment, Hematology, Sequence Analysis, RNA, Proportional hazards model, business.industry, Gene Expression Profiling, General Medicine, Middle Aged, Prognosis, medicine.disease, Drug Resistance, Neoplasm, Biomarker (medicine), Adenocarcinoma, Female, RNA, Long Noncoding, business |
| الوصف: | Postoperative early relapse of early-stage lung adenocarcinoma is implicated in poor prognosis. The purpose of our study was to develop an integrated mRNA and non-coding RNA (ncRNA) signature to identify patients at high risk of early relapse in stage I–II lung adenocarcinoma who underwent complete resection. Early-stage lung adenocarcinoma data from Gene Expression Omnibus database were divided into training set and testing set. Propensity score matching analysis was performed between patients in early relapse group and long-term nonrelapse group from training set. Transcriptome analysis, random survival forest and LASSO Cox regression model were used to build an early relapse-related multigene signature. The robustness of the signature was evaluated in testing set and RNA-Seq dataset from The Cancer Genome Atlas (TCGA). The chemotherapy sensitivity, tumor microenvironment and mutation landscape related to the signature were explored using bioinformatics analysis. Twelve mRNAs and one ncRNA were selected. The multigene signature achieved a strong power for early relapse prediction in training set (HR 3.19, 95% CI 2.16–4.72, P |
| تدمد: | 1432-1335 0171-5216 |
| DOI: | 10.1007/s00432-021-03718-z |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf93cd0b1ddcb76cd4d9ab47ecc1d2e5 https://doi.org/10.1007/s00432-021-03718-z |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....bf93cd0b1ddcb76cd4d9ab47ecc1d2e5 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14321335 01715216 |
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| DOI: | 10.1007/s00432-021-03718-z |