331 related articles for article (PubMed ID: 32880016)
1. Development and validation of prognostic gene signature for basal-like breast cancer and high-grade serous ovarian cancer.
Zhang Y; Liu J; Raj-Kumar PK; Sturtz LA; Praveen-Kumar A; Yang HH; Lee MP; Fantacone-Campbell JL; Hooke JA; Kovatich AJ; Shriver CD; Hu H
Breast Cancer Res Treat; 2020 Dec; 184(3):689-698. PubMed ID: 32880016
[TBL] [Abstract][Full Text] [Related]
2. HOXA4/HOXB3 gene expression signature as a biomarker of recurrence in patients with high-grade serous ovarian cancer following primary cytoreductive surgery and first-line adjuvant chemotherapy.
Miller KR; Patel JN; Zhang Q; Norris EJ; Symanowski J; Michener C; Sehouli J; Braicu I; Destephanis DD; Sutker AP; Jones W; Livasy CA; Biscotti C; Ganapathi RN; Tait DL; Ganapathi MK
Gynecol Oncol; 2018 Apr; 149(1):155-162. PubMed ID: 29402501
[TBL] [Abstract][Full Text] [Related]
3. High cyclin E1 protein, but not gene amplification, is prognostic for basal-like breast cancer.
Aziz D; Lee C; Chin V; Fernandez KJ; Phan Z; ; ; Waring P; Caldon CE
J Pathol Clin Res; 2022 Jul; 8(4):355-370. PubMed ID: 35384378
[TBL] [Abstract][Full Text] [Related]
4. Cox-LASSO Analysis Reveals a Ten-lncRNA Signature to Predict Outcomes in Patients with High-Grade Serous Ovarian Cancer.
Xu L; Wu Y; Che X; Zhao J; Wang F; Wang P; Qu X; Liu Y; Li Z
DNA Cell Biol; 2019 Dec; 38(12):1519-1528. PubMed ID: 31657627
[TBL] [Abstract][Full Text] [Related]
5. Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients.
Buttarelli M; Ciucci A; Palluzzi F; Raspaglio G; Marchetti C; Perrone E; Minucci A; Giacò L; Fagotti A; Scambia G; Gallo D
J Exp Clin Cancer Res; 2022 Feb; 41(1):50. PubMed ID: 35120576
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatic profiling identifies a platinum-resistant-related risk signature for ovarian cancer.
Wu C; He L; Wei Q; Li Q; Jiang L; Zhao L; Wang C; Li J; Wei M
Cancer Med; 2020 Feb; 9(3):1242-1253. PubMed ID: 31856408
[TBL] [Abstract][Full Text] [Related]
7. Overexpression of ICAM-1 Predicts Poor Survival in High-Grade Serous Ovarian Carcinoma: A Study Based on TCGA and GEO Databases and Tissue Microarray.
Wang S; Yin C; Zhang Y; Zhang L; Tao L; Liang W; Pang L; Fu R; Ding Y; Li F; Jia W
Biomed Res Int; 2019; 2019():2867372. PubMed ID: 31312656
[TBL] [Abstract][Full Text] [Related]
8. Genomic Rearrangement Signatures and Clinical Outcomes in High-Grade Serous Ovarian Cancer.
Hillman RT; Chisholm GB; Lu KH; Futreal PA
J Natl Cancer Inst; 2018 Mar; 110(3):265-72. PubMed ID: 29584920
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of an individualized gene expression-based signature to predict overall survival of patients with high-grade serous ovarian carcinoma.
Yuan D; Zhu H; Wang T; Zhang Y; Zheng X; Qu Y
Eur J Med Res; 2023 Oct; 28(1):465. PubMed ID: 37884970
[TBL] [Abstract][Full Text] [Related]
10. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
Wu M; Sun Y; Wu J; Liu G
Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
[TBL] [Abstract][Full Text] [Related]
11. Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer.
Wang S; Liu Z; Rong Y; Zhou B; Bai Y; Wei W; Wei W; Wang M; Guo Y; Tian J
Radiother Oncol; 2019 Mar; 132():171-177. PubMed ID: 30392780
[TBL] [Abstract][Full Text] [Related]
12. Somatic Mutational Profile of High-Grade Serous Ovarian Carcinoma and Triple-Negative Breast Carcinoma in Young and Elderly Patients: Similarities and Divergences.
Serio PAMP; de Lima Pereira GF; Katayama MLH; Roela RA; Maistro S; Folgueira MAAK
Cells; 2021 Dec; 10(12):. PubMed ID: 34944094
[TBL] [Abstract][Full Text] [Related]
13. Integrated weighted gene co-expression network analysis reveals biomarkers associated with prognosis of high-grade serous ovarian cancer.
Wang B; Chao S; Guo B
J Clin Lab Anal; 2022 Feb; 36(2):e24165. PubMed ID: 34997982
[TBL] [Abstract][Full Text] [Related]
14. Cancer Cell Intrinsic and Immunologic Phenotypes Determine Clinical Outcomes in Basal-like Breast Cancer.
Li CI; Zhang Y; Cieślik M; Wu YM; Xiao L; Cobain E; Tang MC; Cao X; Porter P; Guenthoer J; Robinson DR; Chinnaiyan AM
Clin Cancer Res; 2021 Jun; 27(11):3079-3093. PubMed ID: 33753452
[TBL] [Abstract][Full Text] [Related]
15. A Comprehensive Analysis of Prognostic Indicators in Serous Ovarian Cancer Based on Leukocyte Migration and Immune Microenvironment.
Pan J; Chen X; Yang L; Song Y; Liu J; Li L; Lin Y; Tang L; Qiu S; Xu Q
Front Biosci (Landmark Ed); 2023 Jun; 28(6):130. PubMed ID: 37395023
[TBL] [Abstract][Full Text] [Related]
16. Classification of High-Grade Serous Ovarian Carcinoma by Epithelial-to-Mesenchymal Transition Signature and Homologous Recombination Repair Genes.
Sohn MH; Kim SI; Shin JY; Kim HS; Chung HH; Kim JW; Lee M; Seo JS
Genes (Basel); 2021 Jul; 12(7):. PubMed ID: 34356119
[TBL] [Abstract][Full Text] [Related]
17. Immune profiling reveals prognostic genes in high-grade serous ovarian cancer.
Wu Y; Xia L; Zhao P; Deng Y; Guo Q; Zhu J; Chen X; Ju X; Wu X
Aging (Albany NY); 2020 Jun; 12(12):11398-11415. PubMed ID: 32544083
[TBL] [Abstract][Full Text] [Related]
18. Platform-Independent Classification System to Predict Molecular Subtypes of High-Grade Serous Ovarian Carcinoma.
Shilpi A; Kandpal M; Ji Y; Seagle BL; Shahabi S; Davuluri RV
JCO Clin Cancer Inform; 2019 Apr; 3():1-9. PubMed ID: 31002564
[TBL] [Abstract][Full Text] [Related]
19. Focal Recurrent Copy Number Alterations Characterize Disease Relapse in High Grade Serous Ovarian Cancer Patients with Good Clinical Prognosis: A Pilot Study.
Dugo M; Devecchi A; De Cecco L; Cecchin E; Mezzanzanica D; Sensi M; Bagnoli M
Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31491988
[TBL] [Abstract][Full Text] [Related]
20. High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer.
Li M; Cheng X; Rong R; Gao Y; Tang X; Chen Y
BMC Cancer; 2020 Oct; 20(1):1032. PubMed ID: 33109151
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]