Evidence map›Paper›PMID 33514859›Full record

ArticleCommunications biology2021

Mutational burden and chromosomal aneuploidy synergistically predict survival from radiotherapy in non-small cell lung cancer.

Qingzhu Jia, Qian Chu, Anmei Zhang, Jing Yu, Fangfang Liu, Kaiyu Qian, Yu Xiao, Xue Wang, Ying Yang, Yi Zhao and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Qingzhu Jia *Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.
Qian Chu *Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0001-8192-7630
Anmei Zhang *Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.
Jing YuDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Wuhan, 430071, Hubei, China.
Fangfang LiuDepartment of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Kaiyu QianDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-4153-1265
Yu XiaoDepartment of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID 0000-0003-1377-9685
Xue WangDepartment of Thoracic Surgery, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, 430071, Hubei, China.
Ying YangGeneCast Biotechnology Co., Ltd., 35 North Haidian Rd, HealthWork Suite 901, Beijing, China.
Yi ZhaoGeneCast Biotechnology Co., Ltd., 35 North Haidian Rd, HealthWork Suite 901, Beijing, China.
Ji HeGeneCast Biotechnology Co., Ltd., 35 North Haidian Rd, HealthWork Suite 901, Beijing, China.
Guanghui LiDepartment of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.
Yisong Y WanDepartment of Microbiology and Immunology, Lineberger Comprehensive Cancer Centre, University of North Carolina at Chapel Hill, NC, USA. wany@email.unc.edu.ORCID 0000-0003-4346-9717
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Wuhan, 430071, Hubei, China. chxie_65@whu.edu.cn.ORCID 0000-0001-6623-9864
Bo ZhuDepartment of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China. bo.zhu@tmmu.edu.cn.ORCID 0000-0003-0224-8512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic radiation can result in substantially different survival outcomes for patients with non-small cell lung cancer (NSCLC). Measures for identification of patients who can benefit most throughout radiotherapy remain limited. In this retrospective study, survival analysis was performed based on a discovery cohort from TCGA and a validation cohort from three independent hospitals. Tumor mutational burden (TMB) and chromosomal aneuploidy (ANE) were derived from the whole exome sequencing (WES) data from treatment-naïve tumors. Integrated risk scores were derived from TMB and ANE by a multivariate Cox proportional hazards model. TCGA reveal that TMB and ANE are associated positively and negatively, respectively, with survival throughout radiotherapy. Additionally, the synergistically predictive significance of these two genomic alterations, in differing responders and non-responders to radiotherapy is identified. These biomarkers may have clinical potential to improve personalized treatment management by rationally identifying highly likely responders to therapeutic radiation in patients with NSCLC.

Indexed as

AneuploidyMutationBiomarkers, TumorCarcinoma, Non-Small-Cell LungChinaDatabases, GeneticDNA Mutational AnalysisExome SequencingHumansLung NeoplasmsPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID33514859
PMCPMC7846582

What OpenQuestion holds

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Registered trials

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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.