Literature DB >> 35715537

CFTR reduces the proliferation of lung adenocarcinoma and is a strong predictor of survival in both smokers and non-smokers.

Qingyang Xiao1, Stefania Koutsilieri1, Despoina-Christina Sismanoglou1,2, Volker M Lauschke3,4,5.   

Abstract

BACKGROUND: One of the main hurdles of oncological therapy is the development of drug resistance. The ABC transporter gene family contributes majorly to cancer chemoresistance. However, effects of somatic expression of most ABC transporters on cancer outcomes remain largely unclear.
METHODS: We systematically analyzed expression signatures of all 48 human ABC transporters in samples from 8562 patients across 14 different cancer types. The association between CFTR (ABCC7) expression and outcomes was analyzed experimentally using knock-downs and pharmacological CFTR stimulation.
RESULTS: Across 720 analyzed clinical associations with patient outcomes, 363 were nominally significant of which 29 remained significant after stringent Bonferroni correction. Among those were various previously known associations, as well as a multitude of novel factors that correlated with poor prognosis or predicted improved outcomes. The association between low CFTR levels and reduced survival in lung adenocarcinoma was confirmed in two independent cohorts of 246 patients with a history of smoking (logrank P = 0.0021, hazard ratio [HR], 0.49) and 143 never-smokers (logrank P = 0.0023, HR 0.31). Further in vitro experiments using naturally CFTR expressing lung adenocarcinoma cells showed that treatment with CFTR potentiators significantly reduced proliferation at therapeutically relevant concentrations.
CONCLUSIONS: These results suggest that CFTR acts as a pharmacologically activatable tumor suppressor and constitutes a promising target for adjuvant therapy in lung adenocarcinoma.
© 2022. The Author(s).

Entities:  

Keywords:  ABC transporters; Drug resistance; Expression signature; Gene expression; Ivacaftor; Prognostic biomarkers

Year:  2022        PMID: 35715537      PMCID: PMC9587080          DOI: 10.1007/s00432-022-04106-x

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.322


  44 in total

1.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

2.  Vx-770 potentiates CFTR function by promoting decoupling between the gating cycle and ATP hydrolysis cycle.

Authors:  Kang-Yang Jih; Tzyh-Chang Hwang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-25       Impact factor: 11.205

3.  Morbidity and mortality in carriers of the cystic fibrosis mutation CFTR Phe508del in the general population.

Authors:  Yunus Çolak; Børge G Nordestgaard; Shoaib Afzal
Journal:  Eur Respir J       Date:  2020-09-10       Impact factor: 16.671

4.  Most random gene expression signatures are significantly associated with breast cancer outcome.

Authors:  David Venet; Jacques E Dumont; Vincent Detours
Journal:  PLoS Comput Biol       Date:  2011-10-20       Impact factor: 4.475

5.  Prognostic Value and Implication for Chemotherapy Treatment of ABCB1 in Epithelial Ovarian Cancer: A Meta-Analysis.

Authors:  Si Sun; Jing Cai; Qiang Yang; Yapei Zhu; Simei Zhao; Zehua Wang
Journal:  PLoS One       Date:  2016-11-03       Impact factor: 3.240

6.  Prognostic significance of NF-κB expression in non-small cell lung cancer: A meta-analysis.

Authors:  Lijun Gu; Zhiyan Wang; Jing Zuo; Hongmei Li; Lin Zha
Journal:  PLoS One       Date:  2018-05-29       Impact factor: 3.240

7.  An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.

Authors:  Jianfang Liu; Tara Lichtenberg; Katherine A Hoadley; Laila M Poisson; Alexander J Lazar; Andrew D Cherniack; Albert J Kovatich; Christopher C Benz; Douglas A Levine; Adrian V Lee; Larsson Omberg; Denise M Wolf; Craig D Shriver; Vesteinn Thorsson; Hai Hu
Journal:  Cell       Date:  2018-04-05       Impact factor: 41.582

8.  CFTR is a negative regulator of NFkappaB mediated innate immune response.

Authors:  Neeraj Vij; Steven Mazur; Pamela L Zeitlin
Journal:  PLoS One       Date:  2009-02-27       Impact factor: 3.240

9.  Sweat rate analysis of ivacaftor potentiation of CFTR in non-CF adults.

Authors:  Jeeyeon Kim; Miesha Farahmand; Colleen Dunn; Carlos E Milla; Rina I Horii; Ewart A C Thomas; Richard B Moss; Jeffrey J Wine
Journal:  Sci Rep       Date:  2018-11-02       Impact factor: 4.379

Review 10.  Prognostic Cancer Gene Expression Signatures: Current Status and Challenges.

Authors:  Yuquan Qian; Jimmy Daza; Timo Itzel; Johannes Betge; Tianzuo Zhan; Frederik Marmé; Andreas Teufel
Journal:  Cells       Date:  2021-03-15       Impact factor: 6.600

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