Literature DB >> 27016229

Prediction of taxane and platinum sensitivity in ovarian cancer based on gene expression profiles.

Ryusuke Murakami1, Noriomi Matsumura2, J B Brown3, Zhipeng Wang4, Ken Yamaguchi1, Kaoru Abiko1, Yumiko Yoshioka1, Junzo Hamanishi1, Tsukasa Baba1, Masafumi Koshiyama1, Masaki Mandai5, Ryo Yamada6, Ikuo Konishi1.   

Abstract

OBJECTIVE: Prognoses of ovarian cancer (OC) have improved with the paclitaxel-carboplatin regimen. However, it remains unclear which cases exhibit a genuine benefit from taxane or from platinum. We aimed to predict taxane and platinum sensitivity in OC via gene expression.
METHODS: We identified differentially expressed genes in responsive and resistant cases from advanced OC biopsy expression dataset GSE15622, containing responses to paclitaxel or carboplatin monotherapy. These genes generated a scoring system for prediction of drug response by applying single-sample gene set enrichment analysis. Discriminative metrics termed the T-score and C-score were derived.
RESULTS: High C-score levels were significant in responders compared to non-responders in a separate cisplatin treatment dataset (GSE18864, p=0.043). High C-score groups also had significantly better progression-free survival in three OC datasets (The Cancer Genome Atlas, TCGA: p=0.02; GSE9891: p=0.03; GSE30161: p=0.001). In two additional datasets of advanced OC, high T-scores could associate taxane and platinum regimens with better survival than non-taxane and platinum regimens (GSE9891: p<0.0001; GSE3149: p=0.045), whereas in cases with low T-scores, different chemotherapeutic regimens did not result in a significant difference. Assessing TCGA and GSE9891, T-scores were elevated in the C1/Mesenchymal subtype, whereas C-scores were elevated in the C5/Proliferative subtype and were lower in the C1/Mesenchymal subtype (p<0.0001, respectively). C- and T-scores negatively correlated with each other, suggesting complementary roles of taxane and platinum.
CONCLUSIONS: Our proposal and finding of a scoring system that could predict platinum or taxane response could be useful to develop individualized treatments to ovarian cancer.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gene expression profile; Ovarian cancer; Platinum; Prediction; Sensitivity; Taxane

Mesh:

Substances:

Year:  2016        PMID: 27016229     DOI: 10.1016/j.ygyno.2016.02.027

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  12 in total

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2.  Overexpression of Cathepsin L is associated with chemoresistance and invasion of epithelial ovarian cancer.

Authors:  Hongying Sui; Caixia Shi; Zhipeng Yan; Mei Wu
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3.  PRSS1 Upregulation Predicts Platinum Resistance in Ovarian Cancer Patients.

Authors:  Linan Xing; Songyu Tian; Wanqi Mi; Yongjian Zhang; Yunyan Zhang; Yuxi Zhang; Fengye Xu; Chunlong Zhang; Ge Lou
Journal:  Front Cell Dev Biol       Date:  2021-01-28

4.  Pan-Cancer Transcriptional Models Predicting Chemosensitivity in Human Tumors.

Authors:  Jason D Wells; Jacqueline R Griffin; Todd W Miller
Journal:  Cancer Inform       Date:  2021-03-19

5.  Clinical significance of metabolism-related genes and FAK activity in ovarian high-grade serous carcinoma.

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Journal:  BMC Cancer       Date:  2022-01-13       Impact factor: 4.430

6.  Distinct preoperative clinical features predict four histopathological subtypes of high-grade serous carcinoma of the ovary, fallopian tube, and peritoneum.

Authors:  Takuma Ohsuga; Ken Yamaguchi; Aki Kido; Ryusuke Murakami; Kaoru Abiko; Junzo Hamanishi; Eiji Kondoh; Tsukasa Baba; Ikuo Konishi; Noriomi Matsumura
Journal:  BMC Cancer       Date:  2017-08-29       Impact factor: 4.430

Review 7.  Weekly versus 3-weekly paclitaxel in combination with carboplatin in advanced ovarian cancer: which is the optimal adjuvant chemotherapy regimen?

Authors:  Matilda X Lee; David Sp Tan
Journal:  J Gynecol Oncol       Date:  2018-11       Impact factor: 4.401

8.  A Novel Six-Gene Signature for Prognosis Prediction in Ovarian Cancer.

Authors:  Xin Pan; Xiaoxin Ma
Journal:  Front Genet       Date:  2020-10-15       Impact factor: 4.599

9.  Combination of gene set signatures correlates with response to nivolumab in platinum-resistant ovarian cancer.

Authors:  Ryusuke Murakami; Junzo Hamanishi; J B Brown; Kaoru Abiko; Koji Yamanoi; Mana Taki; Yuko Hosoe; Ken Yamaguchi; Tsukasa Baba; Noriomi Matsumura; Ikuo Konishi; Masaki Mandai
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

Review 10.  A Rosetta Stone for Breast Cancer: Prognostic Value and Dynamic Regulation of Neutrophil in Tumor Microenvironment.

Authors:  Wei Zhang; Yimin Shen; Huanhuan Huang; Sheng Pan; Jingxin Jiang; Wuzhen Chen; Ting Zhang; Chao Zhang; Chao Ni
Journal:  Front Immunol       Date:  2020-08-07       Impact factor: 8.786

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