Literature DB >> 32457483

BH3 mimetics selectively eliminate chemotherapy-induced senescent cells and improve response in TP53 wild-type breast cancer.

Ashkan Shahbandi1, Sonia G Rao1, Ashlyn Y Anderson1, Wesley D Frey1, Joy O Olayiwola1, Nathan A Ungerleider2, James G Jackson3.   

Abstract

TP53 wild-type breast tumors rarely undergo a complete pathological response after chemotherapy treatment. These patients have an extremely poor survival rate and studies show these tumors preferentially undergo senescence instead of apoptosis. These senescent cells persist after chemotherapy and secrete cytokines and chemokines comprising the senescence associated secretory phenotype, which promotes survival, proliferation, and metastasis. We hypothesized that eliminating senescent tumor cells would improve chemotherapy response and extend survival. Previous studies have shown "senolytic" agents selectively kill senescent normal cells, but their efficacy in killing chemotherapy-induced senescent cancer cells is unknown. We show that ABT-263, a BH3 mimetic that targets antiapoptotic proteins BCL2/BCL-XL/BCL-W, had no effect on proliferating cells, but rapidly and selectively induced apoptosis in a subset of chemotherapy-treated cancer cells, though sensitivity required days to develop. Low NOXA expression conferred resistance to ABT-263 in some cells, necessitating additional MCL1 inhibition. Gene editing confirmed breast cancer cells relied on BCL-XL or BCL-XL/MCL1 for survival in senescence. In a mouse model of breast cancer, ABT-263 treatment following chemotherapy led to apoptosis, greater tumor regression, and longer survival. Our results reveal cancer cells that have survived chemotherapy by entering senescence can be eliminated using BH3 mimetic drugs that target BCL-XL or BCL-XL/MCL1. These drugs could help minimize residual disease and extend survival in breast cancer patients that otherwise have a poor prognosis and are most in need of improved therapies.

Entities:  

Year:  2020        PMID: 32457483      PMCID: PMC7560696          DOI: 10.1038/s41418-020-0564-6

Source DB:  PubMed          Journal:  Cell Death Differ        ISSN: 1350-9047            Impact factor:   15.828


  76 in total

1.  A CXCL1 paracrine network links cancer chemoresistance and metastasis.

Authors:  Swarnali Acharyya; Thordur Oskarsson; Sakari Vanharanta; Srinivas Malladi; Juliet Kim; Patrick G Morris; Katia Manova-Todorova; Margaret Leversha; Nancy Hogg; Venkatraman E Seshan; Larry Norton; Edi Brogi; Joan Massagué
Journal:  Cell       Date:  2012-07-06       Impact factor: 41.582

2.  TP53 mutations are associated with higher rates of pathologic complete response to anthracycline/cyclophosphamide-based neoadjuvant chemotherapy in operable primary breast cancer.

Authors:  Yuxia Wang; Ye Xu; Jiuan Chen; Tao Ouyang; Jinfeng Li; Tianfeng Wang; Zhaoqing Fan; Tie Fan; Benyao Lin; Yuntao Xie
Journal:  Int J Cancer       Date:  2015-08-13       Impact factor: 7.396

3.  14-3-3σ expression is associated with poor pathological complete response to neoadjuvant chemotherapy in human breast cancers.

Authors:  Yukiko Nakamura; Kazuteru Oshima; Yasuto Naoi; Takahiro Nakayama; Seung Jin Kim; Kenzo Shimazu; Atsushi Shimomura; Naomi Maruyama; Yasuhiro Tamaki; Shinzaburo Noguchi
Journal:  Breast Cancer Res Treat       Date:  2012-07       Impact factor: 4.872

4.  p53-mediated senescence impairs the apoptotic response to chemotherapy and clinical outcome in breast cancer.

Authors:  James G Jackson; Vinod Pant; Qin Li; Leslie L Chang; Alfonso Quintás-Cardama; Daniel Garza; Omid Tavana; Peirong Yang; Taghi Manshouri; Yi Li; Adel K El-Naggar; Guillermina Lozano
Journal:  Cancer Cell       Date:  2012-06-12       Impact factor: 31.743

5.  Effect of mutated TP53 on response of advanced breast cancers to high-dose chemotherapy.

Authors:  P Bertheau; F Plassa; M Espié; E Turpin; A de Roquancourt; M Marty; F Lerebours; Y Beuzard; A Janin; H de Thé
Journal:  Lancet       Date:  2002-09-14       Impact factor: 79.321

6.  Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

Authors:  Min-Bin Chen; Ya-Qun Zhu; Jun-Ying Xu; Li-Qiang Wang; Chao-Ying Liu; Zhang-Yi Ji; Pei-Hua Lu
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

7.  Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on biomarker profiles: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657).

Authors:  Laura J Esserman; Donald A Berry; Maggie C U Cheang; Christina Yau; Charles M Perou; Lisa Carey; Angela DeMichele; Joe W Gray; Kathleen Conway-Dorsey; Marc E Lenburg; Meredith B Buxton; Sarah E Davis; Laura J van't Veer; Clifford Hudis; Koei Chin; Denise Wolf; Helen Krontiras; Leslie Montgomery; Debu Tripathy; Constance Lehman; Minetta C Liu; Olufunmilayo I Olopade; Hope S Rugo; John T Carpenter; Chad Livasy; Lynn Dressler; David Chhieng; Baljit Singh; Carolyn Mies; Joseph Rabban; Yunni-Yi Chen; Dilip Giri; Alfred Au; Nola Hylton
Journal:  Breast Cancer Res Treat       Date:  2011-12-25       Impact factor: 4.872

8.  Exquisite sensitivity of TP53 mutant and basal breast cancers to a dose-dense epirubicin-cyclophosphamide regimen.

Authors:  Philippe Bertheau; Elisabeth Turpin; David S Rickman; Marc Espié; Aurélien de Reyniès; Jean-Paul Feugeas; Louis-François Plassa; Hany Soliman; Mariana Varna; Anne de Roquancourt; Jacqueline Lehmann-Che; Yves Beuzard; Michel Marty; Jean-Louis Misset; Anne Janin; Hugues de Thé
Journal:  PLoS Med       Date:  2007-03       Impact factor: 11.069

Review 9.  Putting p53 in Context.

Authors:  Edward R Kastenhuber; Scott W Lowe
Journal:  Cell       Date:  2017-09-07       Impact factor: 41.582

10.  Breast cancer survival predicted by TP53 mutation status differs markedly depending on treatment.

Authors:  Nathan A Ungerleider; Sonia G Rao; Ashkan Shahbandi; Douglas Yee; Tianhua Niu; Wesley D Frey; James G Jackson
Journal:  Breast Cancer Res       Date:  2018-10-01       Impact factor: 6.466

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  23 in total

Review 1.  Telomere Maintenance and the cGAS-STING Pathway in Cancer.

Authors:  Hiroshi Ebata; Tze Mun Loo; Akiko Takahashi
Journal:  Cells       Date:  2022-06-17       Impact factor: 7.666

Review 2.  Nanomaterial-assisted CRISPR gene-engineering - A hallmark for triple-negative breast cancer therapeutics advancement.

Authors:  Jabeen Farheen; Narayan S Hosmane; Ruibo Zhao; Qingwei Zhao; M Zubair Iqbal; Xiangdong Kong
Journal:  Mater Today Bio       Date:  2022-10-04

3.  The Expression of the Senescence-Associated Biomarker Lamin B1 in Human Breast Cancer.

Authors:  Tareq Saleh; Ahmad Alhesa; Mohammed El-Sadoni; Nisreen Abu Shahin; Elham Alsharaiah; Sofian Al Shboul; Heyam Awad; Sarah Bloukh; Mahmoud Al-Balas; Mohammad Alsalem; Bilal Azab; Tariq N Aladily
Journal:  Diagnostics (Basel)       Date:  2022-02-28

Review 4.  Targeting tumor cell senescence and polyploidy as potential therapeutic strategies.

Authors:  Tareq Saleh; Valerie J Carpenter; Sarah Bloukh; David A Gewirtz
Journal:  Semin Cancer Biol       Date:  2020-12-20       Impact factor: 17.012

Review 5.  Senolytics for Cancer Therapy: Is All That Glitters Really Gold?

Authors:  Valerie J Carpenter; Tareq Saleh; David A Gewirtz
Journal:  Cancers (Basel)       Date:  2021-02-10       Impact factor: 6.639

6.  10 years of Cell Death & Disease.

Authors:  Mauro Piacentini; Yufang Shi; Hans-Uwe Simon
Journal:  Cell Death Dis       Date:  2020-12-12       Impact factor: 8.469

Review 7.  The redox-senescence axis and its therapeutic targeting.

Authors:  Natalie Yl Ngoi; Angeline Qx Liew; Stephen J F Chong; Matthew S Davids; Marie-Veronique Clement; Shazib Pervaiz
Journal:  Redox Biol       Date:  2021-06-05       Impact factor: 11.799

8.  Clearance of therapy-induced senescent tumor cells by the senolytic ABT-263 via interference with BCL-XL -BAX interaction.

Authors:  Tareq Saleh; Valerie J Carpenter; Liliya Tyutyunyk-Massey; Graeme Murray; Joel D Leverson; Andrew J Souers; Moureq R Alotaibi; Anthony C Faber; Jason Reed; Hisashi Harada; David A Gewirtz
Journal:  Mol Oncol       Date:  2020-08-05       Impact factor: 6.603

Review 9.  Rely on Each Other: DNA Binding Cooperativity Shapes p53 Functions in Tumor Suppression and Cancer Therapy.

Authors:  Oleg Timofeev; Thorsten Stiewe
Journal:  Cancers (Basel)       Date:  2021-05-17       Impact factor: 6.639

10.  The Cancer SENESCopedia: A delineation of cancer cell senescence.

Authors:  Fleur Jochems; Bram Thijssen; Giulia De Conti; Robin Jansen; Ziva Pogacar; Kelvin Groot; Liqin Wang; Arnout Schepers; Cun Wang; Haojie Jin; Roderick L Beijersbergen; Rodrigo Leite de Oliveira; Lodewyk F A Wessels; René Bernards
Journal:  Cell Rep       Date:  2021-07-27       Impact factor: 9.423

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