Evidence map›Paper›PMID 27165743›Full record

ArticleCancer cell2016

Comprehensive Characterization of Molecular Differences in Cancer between Male and Female Patients.

Yuan Yuan, Lingxiang Liu, Hu Chen, Yumeng Wang, Yanxun Xu, Huzhang Mao, Jun Li, Gordon B Mills, Yongqian Shu, Liang Li and 1 more

Abstract read
In one paragraph

Article in Cancer cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 1 pooled it
–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

223 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
  5. Sex-Biased Immunity: The Hidden Variable in Immuno-oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
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163 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yuan YuanDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lingxiang LiuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Hu ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA.
Yumeng WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA.
Yanxun XuDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA.
Huzhang MaoDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Biostatistics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Jun LiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yongqian ShuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Liang LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Systematic Functional Characterization of RNA Editing in Endometrial CancerR01CA175486 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN · 2014 to 2018
$1.7M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA175486
6 · The paper itself

Abstract

An individual's sex has been long recognized as a key factor affecting cancer incidence, prognosis, and treatment responses. However, the molecular basis for sex disparities in cancer remains poorly understood. We performed a comprehensive analysis of molecular differences between male and female patients in 13 cancer types of The Cancer Genome Atlas and revealed two sex-effect groups associated with distinct incidence and mortality profiles. One group contains a small number of sex-affected genes, whereas the other shows much more extensive sex-biased molecular signatures. Importantly, 53% of clinically actionable genes (60/114) show sex-biased signatures. Our study provides a systematic molecular-level understanding of sex effects in diverse cancers and suggests a pressing need to develop sex-specific therapeutic strategies in certain cancer types.

Indexed as

DNA Copy Number VariationsDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenome, HumanGenomicsHumansMaleMicroRNAsMutationNeoplasmsProteomicsSex FactorsMicroRNAs

Identifiers

PMID27165743
PMCPMC4864951

What OpenQuestion holds

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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.