NDLI: Landscape of PCOS co-expression gene and its role in predicting prognosis and assisting immunotherapy in endometrial cancer

Content Provider	Springer Nature : BioMed Central
Author	Zhang, Yun Hu, Yifang Yu, Jian Xie, Xiaoyan Jiang, Feng Wu, Chuyan
Abstract	Background Endometrial carcinoma (EC) is the sixth most frequent malignancy in women and is often linked to high estrogen exposure. Polycystic ovarian syndrome (PCOS) is a known risk factor for EC, but the underlying mechanisms remain unclear. Methods We investigated shared gene signals and potential biological pathways to identify effective therapy options for PCOS- and EC-related malignancies. Weighted gene expression network analysis (WGCNA) was used to identify genes associated with PCOS and EC using gene expression data from the Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) datasets. Enrichment analysis using Cluego software revealed that the steroid hormone biosynthetic process was a critical feature in both PCOS and EC. A predictive signature encompassing genes involved in steroid hormone production was developed using multivariate and least absolute shrinkage and selection operator (LASSO) regression analysis to predict the prognosis of EC. Then, we conducted further experimental verification. Results Patients in the TCGA cohort with high predictive scores had poorer outcomes than those with low scores. We also investigated the relationship between tumor microenvironment (TME) features and predictive risk rating and found that patients with low-risk scores had higher levels of inflammatory and inhibitory immune cells. Also, we found that immunotherapy against anti-CTLA4 and anti-PD-1/PD-L1 was successful in treating individuals with low risk. Low-risk individuals were more responsive to crizotinib therapy, according to further research performed using the “pRRophetic” R package. We further confirmed that IGF2 expression was associated with tumor cell migration, proliferation, and invasion in EC cells. Conclutions By uncovering the pathways and genes linking PCOS and EC, our findings may provide new therapeutic strategies for patients with PCOS-related EC.
Related Links	https://ovarianresearch.biomedcentral.com/counter/pdf/10.1186/s13048-023-01201-6.pdf
Ending Page	16
Page Count	16
Starting Page	1
File Format	HTM / HTML
ISSN	17572215
DOI	10.1186/s13048-023-01201-6
Journal	Journal of Ovarian Research
Issue Number	1
Volume Number	16
Language	English
Publisher	BioMed Central
Publisher Date	2023-07-01
Access Restriction	Open
Subject Keyword	Gynecology Reproductive Medicine Endometrial cancer Polycystic ovarian syndrome Steroid hormone biosynthetic process Prognosis Immunotherapies
Content Type	Text
Resource Type	Article
Subject	Oncology Obstetrics and Gynecology
Journal Impact Factor	3.8/2023
5-Year Journal Impact Factor	4.2/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer

Investigating PPT2’s role in ovarian cancer prognosis and immunotherapy outcomes

Comparison of the umbilical cord Blood’s anti-Mullerian hormone level in the newborns of mothers with polycystic ovary syndrome (PCOS) and healthy mothers

Relative importance of AMH and androgens changes with aging among non-obese women with polycystic ovary syndrome

Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis

Association between circulating adiponectin levels and polycystic ovarian syndrome

Role of Statin Drugs for Polycystic Ovary Syndrome

Novel corticotropin-releasing hormone receptor genes (CRHR1 and CRHR2) linkage to and association with polycystic ovary syndrome

Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China

Landscape of PCOS co-expression gene and its role in predicting prognosis and assisting immunotherapy in endometrial cancer

Similar Documents

Identification and validation of pyroptosis-related gene landscape in prognosis and immunotherapy of ovarian cancer

Investigating PPT2’s role in ovarian cancer prognosis and immunotherapy outcomes

Comparison of the umbilical cord Blood’s anti-Mullerian hormone level in the newborns of mothers with polycystic ovary syndrome (PCOS) and healthy mothers

Relative importance of AMH and androgens changes with aging among non-obese women with polycystic ovary syndrome

Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis

Association between circulating adiponectin levels and polycystic ovarian syndrome

Role of Statin Drugs for Polycystic Ovary Syndrome

Novel corticotropin-releasing hormone receptor genes (CRHR1 and CRHR2) linkage to and association with polycystic ovary syndrome

Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China

Landscape of PCOS co-expression gene and its role in predicting prognosis and assisting immunotherapy in endometrial cancer