Sexual dimorphism in cancer: insights from transcriptional signatures in kidney tissue and renal cell carcinoma.
Sexual dimorphism in cancer: insights from transcriptional signatures in kidney tissue and renal cell carcinoma.
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癌症中的性别二态性:肾组织和肾细胞癌转录特征的见解。
DOI:
10.1093/hmg/ddab031
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发表时间:
2021-04-27
影响因子:
3.5
通讯作者:
Chanudet E
中科院分区:
文献类型:
--
作者:
Laskar RS;Li P;Ecsedi S;Abedi-Ardekani B;Durand G;Robinot N;Hubert JN;Janout V;Zaridze D;Mukeria A;Mates D;Holcatova I;Foretova L;Swiatkowska B;Dzamic Z;Milosavljevic S;Olaso R;Boland A;Deleuze JF;Muller DC;McKay JD;Brennan P;Le Calvez-Kelm F;Scelo G;Chanudet E
Sexual dimorphism in cancer incidence and outcome is widespread. Understanding the underlying mechanisms is fundamental to improve cancer prevention and clinical management. Sex disparities are particularly striking in kidney cancer: across diverse populations, men consistently show unexplained 2-fold increased incidence and worse prognosis. We have characterized genome-wide expression and regulatory networks of 609 renal tumors and 256 non-tumor renal tissues. Normal kidney displayed sex-specific transcriptional signatures, including higher expression of X-linked tumor suppressor genes in women. Sex-dependent genotype–phenotype associations unraveled women-specific immune regulation. Sex differences were markedly expanded in tumors, with male-biased expression of key genes implicated in metabolism, non-malignant diseases with male predominance and carcinogenesis, including markers of tumor infiltrating leukocytes. Analysis of sex-dependent RCC progression and survival uncovered prognostic markers involved in immune response and oxygen homeostasis. In summary, human kidney tissues display remarkable sexual dimorphism at the molecular level. Sex-specific transcriptional signatures further shape renal cancer, with relevance for clinical management.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
64.8
作者:
通讯作者:
--
DOI:
10.1073/pnas.1222435110
发表时间:
2013-02-26
影响因子:
11.1
作者:
Emerling, Brooke M.;Benes, Cyril H.;Cantley, Lewis C.
通讯作者:
Cantley, Lewis C.
影响因子:
15.9
作者:
Gee, Heon Yung;Zhang, Fujian;Hildebrandt, Friedhelm
通讯作者:
Hildebrandt, Friedhelm