Literature DB >> 31967684

Can we predict who lives long with ovarian cancer?

Michael A Bookman1.   

Abstract

Women with ovarian cancer benefit from individualized management that incorporates advanced imaging technologies, sophisticated cytoreductive surgery integrated with combination chemotherapy, genetic risk assessment, and tumor molecular profiling. However, advanced ovarian cancer remains a highly lethal disease because of early peritoneal dissemination, rapid development of resistance to key therapeutic agents, and evasion of the host immune response. Over the last 15 years, several models and nomograms have been developed to predict surgical outcomes, progression-free survival, or overall survival on the basis of clinical and pathologic data available at the primary diagnosis and recurrence. Each of these models has its strengths and limitations, and they provide a basis for future models that will incorporate functional imaging and molecular characteristics.
© 2019 American Cancer Society.

Entities:  

Keywords:  clinical biomarkers; nomograms; ovarian cancer; platinum-free interval; prognosis

Mesh:

Year:  2019        PMID: 31967684     DOI: 10.1002/cncr.32474

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  6 in total

1.  A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma.

Authors:  Cuiping Li; Hongfei Wang; Yulan Chen; Mengshi Fang; Chao Zhu; Yankun Gao; Jianying Li; Jiangning Dong; Xingwang Wu
Journal:  J Oncol       Date:  2022-05-04       Impact factor: 4.501

2.  Development and validation for prognostic nomogram of epithelial ovarian cancer recurrence based on circulating tumor cells and epithelial-mesenchymal transition.

Authors:  Jiani Yang; Jun Ma; Yue Jin; Shanshan Cheng; Shan Huang; Nan Zhang; Yu Wang
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.379

3.  The Addition of Peripheral Blood Inflammatory Indexes to Nomogram Improves the Predictive Accuracy of Survival in Limited-Stage Small Cell Lung Cancer Patients.

Authors:  Jing Qi; Jiaqi Zhang; Xingping Ge; Xin Wang; Liming Xu; Ningbo Liu; Lujun Zhao; Ping Wang
Journal:  Front Oncol       Date:  2021-10-08       Impact factor: 6.244

4.  Construction and validation of a transcription factors-based prognostic signature for ovarian cancer.

Authors:  Qingyuan Cheng; Liman Li; Mingxia Yu
Journal:  J Ovarian Res       Date:  2022-02-28       Impact factor: 4.234

5.  Association of Copy Number Variation Signature and Survival in Patients With Serous Ovarian Cancer.

Authors:  Ryon P Graf; Ramez Eskander; Leo Brueggeman; Dwayne G Stupack
Journal:  JAMA Netw Open       Date:  2021-06-01

6.  Comprehensive Landscape of Ovarian Cancer Immune Microenvironment Based on Integrated Multi-Omics Analysis.

Authors:  Jiacheng Shen; Tingwei Liu; Qiaoli Bei; Shaohua Xu
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

  6 in total

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