Evidence map›Paper›PMID 33678158›Full record

ArticleBMC cancer2021

The association of sex-biased ATRX mutation in female gastric cancer patients with enhanced immunotherapy-related anticancer immunity.

You Ge, Feiran Wei, Guoping Du, Gaoqiang Fei, Wei Li, Xiaoshan Li, Jinjin Chu, Pingmin Wei

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

You GeDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, Jiangsu, China.
Feiran WeiDepartment of Hematology and Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Guoping DuSoutheast University Hospital, Nanjing, China.
Gaoqiang FeiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, Jiangsu, China.
Wei LiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, Jiangsu, China.
Xiaoshan LiDepartment of Lung Transplant Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, Jiangsu, China.
Jinjin ChuDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, Jiangsu, China.
Pingmin WeiDepartment of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, Jiangsu, China. mpw_1963@126.com.ORCID http://orcid.org/0000-0002-7456-0209
Southeast University · CNWuxi People's Hospital · CNZhongda Hospital Southeast University · CN

Funding

Humanities and Social Sciences of Ministry of Education Planning Fund of China NO. 16YJA840014
6 · The paper itself

Abstract

backgroundGenetic alterations have been proven to be the promising biomarkers for ICI response. However, sex biases in genetic alterations have been often ignored in the field of immunotherapy, which might specially influence the anticancer immunity and immunotherapy efficacy in male or female patients. Here, we have systematically evaluated the effect of the sex biases in somatic mutation of gastric cancer (GC) patients on the anticancer immunity and clinical benefit to immunotherapy.

methodsGenomic and transcriptomic data of gastric cancer were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC). We also obtained the genomic and clinical data of a MSKCC ICI-treated cohort from cbioportal database. GC male and female-derived tumor somatic mutation profiles were compared by maftools R package. Single sample gene set enrichment analysis (ssGSEA) was conducted to calculate the score of the anticancer immunity indicators including IFN-γ signaling, cytolytic activity (CYT) and antigen presenting machinery (APM).

resultsATRX was found to mutate more frequently in female GC patients compared to male patients (FDR = 0.0108). Female GC patients with ATRX mutation manifested significantly more MSI-high subtypes, increased TMB and PDL1 expression as well as higher scores of IFN-γ signaling, CYT and APM. Gene set enrichment analysis (GSEA) has shown that ATRX mutation might enhance the immunogenicity and anticancer immunity through affecting DNA damage repair pathways. In the ICI-treated cohort from MSKCC, GC patients with ATRX mutation were associated with prolonged overall survival. When stratifying the entire ICI-treated cohort by sex, female patients with ATRX mutation obtained significantly better survival benefits than that of ATRX mutant male patients (Female patients, HR of ATRX MT vs WT = 0.636, 95%CI = 0.455-0.890, P = 0.023; Male patients, HR of ATRX MT vs WT = 0.929, 95%CI = 0.596-1.362, P = 0.712).

conclusionsATRX mutation might serve as a potential predictive biomarker for favorable clinical benefit to ICI in female GC patients. ATRX mutation could be applied in combination with other biomarkers of ICI response to better identify the female GC patients who will derive greater benefits from ICI therapy.

Indexed as

AgedBiomarkers, TumorBiopsyDatasets as TopicDNA Mutational AnalysisDNA RepairDrug Resistance, NeoplasmFemaleHumansImmune Checkpoint InhibitorsKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleMicrosatellite InstabilityMiddle AgedMutationATRX protein, humanBiomarkers, TumorImmune Checkpoint InhibitorsX-linked Nuclear ProteinAnticancer immunityATRX mutationGastric cancerSex biases

Identifiers

PMID33678158
PMCPMC7938533
OpenAlexW3189258392

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.