Evidence map›Paper›PMID 34507558›Full record

ArticleWorld journal of surgical oncology2021

Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment.

Xiao-Wei Du, Gao Li, Juan Liu, Chun-Yan Zhang, Qiong Liu, Hao Wang, Ting-Song Chen

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiao-Wei Du *Jinzhou Medical University, Jinzhou, China.
Gao Li *Department of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China.
Juan LiuDepartment of Pharmacy, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Chun-Yan ZhangDepartment of Central Laboratory, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qiong LiuOffice of Academic Research, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hao WangDepartment of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China. Howard_123@163.com.
Ting-Song ChenDepartment of Oncology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, 200000, China. cts552052597@163.com.

Funding

shanghai municipal health commission 202040180shanghai municipal health commission 202040187
6 · The paper itself

Abstract

backgroundBreast cancer is the most common malignancy in women. Cancer driver gene-mediated alterations in the tumor microenvironment are critical factors affecting the biological behavior of breast cancer. The purpose of this study was to identify the expression characteristics and prognostic value of cancer driver genes in breast cancer.

methodsThe Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets are used as the training and test sets. Classified according to cancer and paracancerous tissues, we identified differentially expressed cancer driver genes. We further screened prognosis-associated genes, and candidate genes were submitted for the construction of a risk signature. Functional enrichment analysis and transcriptional regulatory networks were performed to search for possible mechanisms by which cancer driver genes affect breast cancer prognosis.

resultsWe identified more than 200 differentially expressed driver genes and 27 prognosis-related genes. High-risk group patients had a lower survival rate compared to the low-risk group (P<0.05), and risk signature showed high specificity and sensitivity in predicting the patient prognosis (AUC 0.790). Multivariate regression analysis suggested that risk scores can independently predict patient prognosis. Further, we found differences in PD-1 expression, immune score, and stromal score among different risk groups.

conclusionOur study confirms the critical prognosis role of cancer driver genes in breast cancer. The cancer driver gene risk signature may provide a novel biomarker for clinical treatment strategy and survival prediction of breast cancer.

Indexed as

Breast NeoplasmsTumor MicroenvironmentFemaleGene Expression ProfilingHumansPrognosisSurvival RateBreast cancerCancer driver genesPrognostic signatureTCGATumor microenvironment

Identifiers

PMID34507558
PMCPMC8434726

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.