Pan-cancer analyses of GSRS.
<p>(<b>A</b>) Tumor samples showed significantly higher levels of GSRS in 16 out of 33 cancer types compared to adjacent paracarcinoma tissues, indicating a potential role of glucocorticoid signaling in tumorigenesis. (<b>B</b>) The predictive ability of GSRS for OS acr...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| منشور في: |
2025
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| _version_ | 1852015827177439232 |
|---|---|
| author | Yu Zhang (12946) |
| author2 | Chen Chen (6544) Tianhang Zhu (22421568) Wei Luo (80175) Ranran Zhou (6503195) Wanlong Tan (311259) |
| author2_role | author author author author author |
| author_facet | Yu Zhang (12946) Chen Chen (6544) Tianhang Zhu (22421568) Wei Luo (80175) Ranran Zhou (6503195) Wanlong Tan (311259) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yu Zhang (12946) Chen Chen (6544) Tianhang Zhu (22421568) Wei Luo (80175) Ranran Zhou (6503195) Wanlong Tan (311259) |
| dc.date.none.fl_str_mv | 2025-10-13T17:29:26Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0334104.s011 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Pan-cancer_analyses_of_GSRS_/30348573 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Cell Biology Genetics Molecular Biology Physiology Immunology Developmental Biology Marine Biology Cancer Hematology Biological Sciences not elsewhere classified world clinical settings vivo experiments showed spatial transcriptomics revealed pooled hazard ratio offering valuable insights healthy donors (< 05 – 3 gene signature emerged random forest analyses cell exhaustion levels related gene signature div >< p related genes decreased levels cell infiltration 05 ). subsequently incorporated rigorously validated prognostic significance predictive tool positive association pivotal role p </ msigdb database local samples immunotherapeutic response glucocorticoids play glucocorticoid signaling experimentally validating corticosterone treatment confidence interval computational simulations cancer progression 65 ). |
| dc.title.none.fl_str_mv | Pan-cancer analyses of GSRS. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(<b>A</b>) Tumor samples showed significantly higher levels of GSRS in 16 out of 33 cancer types compared to adjacent paracarcinoma tissues, indicating a potential role of glucocorticoid signaling in tumorigenesis. (<b>B</b>) The predictive ability of GSRS for OS across a pan-cancer level, demonstrating its potential as a prognostic biomarker. (<b>C-D</b>) Higher GSRS levels were associated with unfavorable OS in kidney renal papillary cell carcinoma (KIRP) (<b>C</b>) and acute myeloid leukemia (LAML) (<b>D</b>), suggesting a negative prognostic impact in these cancers. (<b>E-F</b>) Conversely, higher GSRS levels were linked to favorable OS in lower grade glioma (LGG) (<b>E</b>) and sarcoma (SARC) (<b>F</b>), indicating a potential protective or beneficial role in these cancer types.</p> <p>(TIF)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_4b45f34205dc758d3970d4e7f024daa7 |
| identifier_str_mv | 10.1371/journal.pone.0334104.s011 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30348573 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Pan-cancer analyses of GSRS.Yu Zhang (12946)Chen Chen (6544)Tianhang Zhu (22421568)Wei Luo (80175)Ranran Zhou (6503195)Wanlong Tan (311259)BiochemistryCell BiologyGeneticsMolecular BiologyPhysiologyImmunologyDevelopmental BiologyMarine BiologyCancerHematologyBiological Sciences not elsewhere classifiedworld clinical settingsvivo experiments showedspatial transcriptomics revealedpooled hazard ratiooffering valuable insightshealthy donors (<05 – 3gene signature emergedrandom forest analysescell exhaustion levelsrelated gene signaturediv >< prelated genesdecreased levelscell infiltration05 ).subsequently incorporatedrigorously validatedprognostic significancepredictive toolpositive associationpivotal rolep </msigdb databaselocal samplesimmunotherapeutic responseglucocorticoids playglucocorticoid signalingexperimentally validatingcorticosterone treatmentconfidence intervalcomputational simulationscancer progression65 ).<p>(<b>A</b>) Tumor samples showed significantly higher levels of GSRS in 16 out of 33 cancer types compared to adjacent paracarcinoma tissues, indicating a potential role of glucocorticoid signaling in tumorigenesis. (<b>B</b>) The predictive ability of GSRS for OS across a pan-cancer level, demonstrating its potential as a prognostic biomarker. (<b>C-D</b>) Higher GSRS levels were associated with unfavorable OS in kidney renal papillary cell carcinoma (KIRP) (<b>C</b>) and acute myeloid leukemia (LAML) (<b>D</b>), suggesting a negative prognostic impact in these cancers. (<b>E-F</b>) Conversely, higher GSRS levels were linked to favorable OS in lower grade glioma (LGG) (<b>E</b>) and sarcoma (SARC) (<b>F</b>), indicating a potential protective or beneficial role in these cancer types.</p> <p>(TIF)</p>2025-10-13T17:29:26ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0334104.s011https://figshare.com/articles/figure/Pan-cancer_analyses_of_GSRS_/30348573CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/303485732025-10-13T17:29:26Z |
| spellingShingle | Pan-cancer analyses of GSRS. Yu Zhang (12946) Biochemistry Cell Biology Genetics Molecular Biology Physiology Immunology Developmental Biology Marine Biology Cancer Hematology Biological Sciences not elsewhere classified world clinical settings vivo experiments showed spatial transcriptomics revealed pooled hazard ratio offering valuable insights healthy donors (< 05 – 3 gene signature emerged random forest analyses cell exhaustion levels related gene signature div >< p related genes decreased levels cell infiltration 05 ). subsequently incorporated rigorously validated prognostic significance predictive tool positive association pivotal role p </ msigdb database local samples immunotherapeutic response glucocorticoids play glucocorticoid signaling experimentally validating corticosterone treatment confidence interval computational simulations cancer progression 65 ). |
| status_str | publishedVersion |
| title | Pan-cancer analyses of GSRS. |
| title_full | Pan-cancer analyses of GSRS. |
| title_fullStr | Pan-cancer analyses of GSRS. |
| title_full_unstemmed | Pan-cancer analyses of GSRS. |
| title_short | Pan-cancer analyses of GSRS. |
| title_sort | Pan-cancer analyses of GSRS. |
| topic | Biochemistry Cell Biology Genetics Molecular Biology Physiology Immunology Developmental Biology Marine Biology Cancer Hematology Biological Sciences not elsewhere classified world clinical settings vivo experiments showed spatial transcriptomics revealed pooled hazard ratio offering valuable insights healthy donors (< 05 – 3 gene signature emerged random forest analyses cell exhaustion levels related gene signature div >< p related genes decreased levels cell infiltration 05 ). subsequently incorporated rigorously validated prognostic significance predictive tool positive association pivotal role p </ msigdb database local samples immunotherapeutic response glucocorticoids play glucocorticoid signaling experimentally validating corticosterone treatment confidence interval computational simulations cancer progression 65 ). |