Literature DB >> 32998996

Specific Mechanisms of Chromosomal Instability Indicate Therapeutic Sensitivities in High-Grade Serous Ovarian Carcinoma.

Naoka Tamura1, Nadeem Shaikh1, Daniel Muliaditan1, Tanya N Soliman1, Jennifer R McGuinness1, Eleni Maniati1, Daniela Moralli2, Mary-Anne Durin2, Catherine M Green2, Frances R Balkwill1, Jun Wang1, Kit Curtius1,3,4, Sarah E McClelland5.   

Abstract

Chromosomal instability (CIN) comprises continual gain and loss of chromosomes or parts of chromosomes and occurs in the majority of cancers, often conferring poor prognosis. Because of a scarcity of functional studies and poor understanding of how genetic or gene expression landscapes connect to specific CIN mechanisms, causes of CIN in most cancer types remain unknown. High-grade serous ovarian carcinoma (HGSC), the most common subtype of ovarian cancer, is the major cause of death due to gynecologic malignancy in the Western world, with chemotherapy resistance developing in almost all patients. HGSC exhibits high rates of chromosomal aberrations and knowledge of causative mechanisms would represent an important step toward combating this disease. Here we perform the first in-depth functional characterization of mechanisms driving CIN in HGSC in seven cell lines that accurately recapitulate HGSC genetics. Multiple mechanisms coexisted to drive CIN in HGSC, including elevated microtubule dynamics and DNA replication stress that can be partially rescued to reduce CIN by low doses of paclitaxel and nucleoside supplementation, respectively. Distinct CIN mechanisms indicated relationships with HGSC-relevant therapy including PARP inhibition and microtubule-targeting agents. Comprehensive genomic and transcriptomic profiling revealed deregulation of various genes involved in genome stability but were not directly predictive of specific CIN mechanisms, underscoring the importance of functional characterization to identify causes of CIN. Overall, we show that HGSC CIN is complex and suggest that specific CIN mechanisms could be used as functional biomarkers to indicate appropriate therapy. SIGNIFICANCE: These findings characterize multiple deregulated mechanisms of genome stability that lead to CIN in ovarian cancer and demonstrate the benefit of integrating analysis of said mechanisms into predictions of therapy response. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32998996     DOI: 10.1158/0008-5472.CAN-19-0852

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

1.  Basal expression of RAD51 foci predicts olaparib response in patient-derived ovarian cancer xenografts.

Authors:  F Guffanti; M F Alvisi; A Anastasia; F Ricci; M Chiappa; A Llop-Guevara; V Serra; R Fruscio; A Degasperi; S Nik-Zainal; M R Bani; M Lupia; R Giavazzi; E Rulli; G Damia
Journal:  Br J Cancer       Date:  2021-11-03       Impact factor: 7.640

2.  Replication stress generates distinctive landscapes of DNA copy number alterations and chromosome scale losses.

Authors:  Nadeem Shaikh; Alice Mazzagatti; Simone De Angelis; Sarah C Johnson; Bjorn Bakker; Diana C J Spierings; René Wardenaar; Eleni Maniati; Jun Wang; Michael A Boemo; Floris Foijer; Sarah E McClelland
Journal:  Genome Biol       Date:  2022-10-20       Impact factor: 17.906

Review 3.  Polar Chromosomes-Challenges of a Risky Path.

Authors:  Kruno Vukušić; Iva M Tolić
Journal:  Cells       Date:  2022-05-03       Impact factor: 7.666

4.  Chemotherapy Induces Tumor-Associated Macrophages that Aid Adaptive Immune Responses in Ovarian Cancer.

Authors:  Chiara Berlato; Eleni Maniati; Owen Heath; Anissa Lakhani; Colin Pegrum; Panoraia Kotantaki; Samar Elorbany; Steffen Böhm; Simon T Barry; Alessandro Annibaldi; Desmond P Barton; Frances R Balkwill
Journal:  Cancer Immunol Res       Date:  2021-04-10       Impact factor: 12.020

5.  Building in vitro 3D human multicellular models of high-grade serous ovarian cancer.

Authors:  Beatrice Malacrida; Oliver M T Pearce; Frances R Balkwill
Journal:  STAR Protoc       Date:  2022-01-11

6.  Replication catastrophe is responsible for intrinsic PAR glycohydrolase inhibitor-sensitivity in patient-derived ovarian cancer models.

Authors:  Camilla Coulson-Gilmer; Robert D Morgan; Louisa Nelson; Bethany M Barnes; Anthony Tighe; René Wardenaar; Diana C J Spierings; Helene Schlecht; George J Burghel; Floris Foijer; Sudha Desai; Joanne C McGrail; Stephen S Taylor
Journal:  J Exp Clin Cancer Res       Date:  2021-10-16

7.  Modelling TGFβR and Hh pathway regulation of prognostic matrisome molecules in ovarian cancer.

Authors:  Robin M Delaine-Smith; Eleni Maniati; Beatrice Malacrida; Sam Nichols; Reza Roozitalab; Roanne R Jones; Laura S M Lecker; Oliver M T Pearce; Martin M Knight; Frances R Balkwill
Journal:  iScience       Date:  2021-05-29

8.  A human multi-cellular model shows how platelets drive production of diseased extracellular matrix and tissue invasion.

Authors:  Beatrice Malacrida; Sam Nichols; Eleni Maniati; Roanne Jones; Robin Delanie-Smith; Reza Roozitalab; Eleanor J Tyler; Morgan Thomas; Gina Boot; Jonas Mackerodt; Michelle Lockley; Martin M Knight; Frances R Balkwill; Oliver M T Pearce
Journal:  iScience       Date:  2021-05-29

9.  Distinct transcriptional programs stratify ovarian cancer cell lines into the five major histological subtypes.

Authors:  Bethany M Barnes; Louisa Nelson; Anthony Tighe; George J Burghel; I-Hsuan Lin; Sudha Desai; Joanne C McGrail; Robert D Morgan; Stephen S Taylor
Journal:  Genome Med       Date:  2021-09-01       Impact factor: 11.117

10.  TP53 loss initiates chromosomal instability in fallopian tube epithelial cells.

Authors:  Daniel Bronder; Anthony Tighe; Darawalee Wangsa; Dali Zong; Thomas J Meyer; René Wardenaar; Paul Minshall; Daniela Hirsch; Kerstin Heselmeyer-Haddad; Louisa Nelson; Diana Spierings; Joanne C McGrail; Maggie Cam; André Nussenzweig; Floris Foijer; Thomas Ried; Stephen S Taylor
Journal:  Dis Model Mech       Date:  2021-11-30       Impact factor: 5.758

  10 in total

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