Literature DB >> 29523763

Molecular Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma.

Rebecca C Arend1, Angelina I Londoño2, Allison M Montgomery3, Haller J Smith3, Zachary C Dobbin4, Ashwini A Katre2, Alba Martinez3, Eddy S Yang2, Ronald D Alvarez5, Warner K Huh3, Kerri S Bevis3, J Michael Straughn3, Jacob M Estes6, Lea Novak7, David K Crossman8, Sara J Cooper9, Charles N Landen10, Charles A Leath3.   

Abstract

While high-grade serous ovarian carcinoma (HGSOC) is the most common histologic subtype of ovarian cancer, significant tumor heterogeneity exists. In addition, chemotherapy induces changes in gene expression and alters the mutational profile. To evaluate the notion that patients with HGSOC could be better classified for optimal treatment based on gene expression, we compared genetic variants [by DNA next-generation sequencing (NGS) using a 50 gene Ion Torrent panel] and gene expression (using the NanoString PanCancer 770 gene Panel) in the tumor from 20 patients with HGSOC before and after neoadjuvant chemotherapy (NACT). NGS was performed on plasma cell free DNA (cfDNA) on a select group of patients (n = 14) to assess the utility of using cfDNA to monitor these changes. A total of 86 genes had significant changes in RNA expression after NACT. Thirty-eight genetic variants (including SNPs) from 6 genes were identified in tumors pre-NACT, while 59 variants from 19 genes were detected in the cfDNA. The number of DNA variants were similar after NACT. Of the 59 variants in the plasma pre-NACT, only 6 persisted, whereas 33 of 38 specific variants in the tumor DNA remained unchanged. Pathway analysis showed the most significant alterations in the cell cycle and DNA damage pathways.Implications: Gene expression profiles at the time of interval debulking provide additional genetic information that could help impact treatment decisions after NACT; although, continued collection and analysis of matched tumor and cfDNA from multiple time points are needed to determine the role of cfDNA in the management of HGSOC. Mol Cancer Res; 16(5); 813-24. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29523763      PMCID: PMC6497146          DOI: 10.1158/1541-7786.MCR-17-0594

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  16 in total

1.  Neoadjuvant Chemotherapy Induces Genomic and Transcriptomic Changes in Ovarian Cancer.

Authors:  Melissa Javellana; Mark A Eckert; Janna Heide; Katarzyna Zawieracz; Melanie Weigert; Sarah Ashley; Elizabeth Stock; David Chapel; Lei Huang; S Diane Yamada; Ahmed Ashour Ahmed; Ricardo R Lastra; Mengjie Chen; Ernst Lengyel
Journal:  Cancer Res       Date:  2021-11-04       Impact factor: 13.312

2.  Liquid biopsy-based comprehensive gene mutation profiling for gynecological cancer using CAncer Personalized Profiling by deep Sequencing.

Authors:  Naoyuki Iwahashi; Kazuko Sakai; Tomoko Noguchi; Tamaki Yahata; Hitomi Matsukawa; Saori Toujima; Kazuto Nishio; Kazuhiko Ino
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

Review 3.  Circulating Cell-Free DNA or Circulating Tumor DNA in the Management of Ovarian and Endometrial Cancer.

Authors:  Qian Chen; Zi-Han Zhang; Shu Wang; Jing-He Lang
Journal:  Onco Targets Ther       Date:  2019-12-27       Impact factor: 4.147

4.  BMP signaling is a therapeutic target in ovarian cancer.

Authors:  Tomohiko Fukuda; Risa Fukuda; Ryo Tanabe; Daizo Koinuma; Hiroo Koyama; Yoshinobu Hashizume; Aristidis Moustakas; Kohei Miyazono; Carl-Henrik Heldin
Journal:  Cell Death Discov       Date:  2020-12-05

Review 5.  Prediction of the treatment response in ovarian cancer: a ctDNA approach.

Authors:  Mina Sharbatoghli; Somayeh Vafaei; Hamidreza Aboulkheyr Es; Mohsen Asadi-Lari; Mehdi Totonchi; Zahra Madjd
Journal:  J Ovarian Res       Date:  2020-10-19       Impact factor: 4.234

Review 6.  Can Circulating Cell-Free DNA or Circulating Tumor DNA Be a Promising Marker in Ovarian Cancer?

Authors:  Ming Yu; Yu Zhu; Lichen Teng; Jialin Cui; Yajuan Su
Journal:  J Oncol       Date:  2021-04-12       Impact factor: 4.375

7.  Biological Insights into Chemotherapy Resistance in Ovarian Cancer.

Authors:  Michelle A Glasgow; Peter Argenta; Juan E Abrahante; Mihir Shetty; Shobhana Talukdar; Paula A Croonquist; Mahmoud A Khalifa; Timothy K Starr
Journal:  Int J Mol Sci       Date:  2019-04-30       Impact factor: 5.923

8.  Clonal Evolution of TP53 c.375+1G>A Mutation in Pre- and Post- Neo-Adjuvant Chemotherapy (NACT) Tumor Samples in High-Grade Serous Ovarian Cancer (HGSOC).

Authors:  Marica Garziera; Erika Cecchin; Giorgio Giorda; Roberto Sorio; Simona Scalone; Elena De Mattia; Rossana Roncato; Sara Gagno; Elena Poletto; Loredana Romanato; Fabrizio Ecca; Vincenzo Canzonieri; Giuseppe Toffoli
Journal:  Cells       Date:  2019-10-01       Impact factor: 6.600

9.  Genetic heterogeneity and evolutionary history of high-grade ovarian carcinoma and matched distant metastases.

Authors:  Tariq Masoodi; Sarah Siraj; Abdul K Siraj; Saud Azam; Zeeshan Qadri; Sandeep K Parvathareddy; Asma Tulbah; Fouad Al-Dayel; Hamed AlHusaini; Osama AlOmar; Ismail A Al-Badawi; Fowzan S Alkuraya; Khawla S Al-Kuraya
Journal:  Br J Cancer       Date:  2020-02-26       Impact factor: 7.640

10.  Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer.

Authors:  Brooke E Sanders; Lisa Ku; Paul Walker; Benjamin G Bitler
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
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