Literature DB >> 20224928

Identification of genes associated with chemosensitivity to SAHA/taxane combination treatment in taxane-resistant breast cancer cells.

Hyun Chang1, Hei-Cheul Jeung, Je Jun Jung, Tae Soo Kim, Sun Young Rha, Hyun Cheol Chung.   

Abstract

Here we evaluated the cytotoxic effects of a combination of the histone deacetylase inhibitor suberoylanilide hydroxamic acid (SAHA) and taxanes in human breast cancer cell lines. Combination treatment with taxane and SAHA had a synergistic cytotoxic effect against taxane-resistant breast cancer cells. Oligonucleotide microarray analysis identified 28 genes (MAPK13, ATP2C1, ANKRD57, MT1G, RGL4, C12orf49, EXOC6, RAB4A, TM9SF3, IFNGR1, DMD, HCG9, KIFC3, SYNGR3, NDRG4, NT5E, EOMES, SMC4, LANCL1, SCHIP1, and 8 ESTs) whose expression correlated with the combined effect of paclitaxel and SAHA. Twelve of these genes were down-regulated in cell lines that were paclitaxel-resistant but combination synergistic. SAHA induced NT5E mRNA expression in paclitaxel-resistant YCC-B1 cell. Our results indicate that a combination of taxane and SAHA could be efficacious for the treatment of breast cancer and that genes involved in the synergistic response to paclitaxel and SAHA could serve as biomarkers to predict therapeutic response in breast cancer patients.

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Year:  2010        PMID: 20224928     DOI: 10.1007/s10549-010-0825-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  23 in total

Review 1.  Rational therapeutic combinations with histone deacetylase inhibitors for the treatment of cancer.

Authors:  K Ted Thurn; Scott Thomas; Amy Moore; Pamela N Munster
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2.  Association of single nucleotide polymorphism rs2065955 of the filaggrin gene with susceptibility to Epstein-Barr virus-associated gastric carcinoma and EBV-negative gastric carcinoma.

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Journal:  Virol Sin       Date:  2016-08-10       Impact factor: 4.327

3.  TM9SF4 is a novel V-ATPase-interacting protein that modulates tumor pH alterations associated with drug resistance and invasiveness of colon cancer cells.

Authors:  F Lozupone; M Borghi; F Marzoli; T Azzarito; P Matarrese; E Iessi; G Venturi; S Meschini; A Canitano; R Bona; A Cara; S Fais
Journal:  Oncogene       Date:  2015-02-09       Impact factor: 9.867

4.  Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA.

Authors:  Muhammed Murtaza; Sarah-Jane Dawson; Dana W Y Tsui; Davina Gale; Tim Forshew; Anna M Piskorz; Christine Parkinson; Suet-Feung Chin; Zoya Kingsbury; Alvin S C Wong; Francesco Marass; Sean Humphray; James Hadfield; David Bentley; Tan Min Chin; James D Brenton; Carlos Caldas; Nitzan Rosenfeld
Journal:  Nature       Date:  2013-04-07       Impact factor: 49.962

5.  Gene expression in triple-negative breast cancer in relation to survival.

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Journal:  Breast Cancer Res Treat       Date:  2018-05-10       Impact factor: 4.872

6.  A genome-wide association study of tramadol metabolism from post-mortem samples.

Authors:  Frank R Wendt; Anna-Liina Rahikainen; Jonathan L King; Antti Sajantila; Bruce Budowle
Journal:  Pharmacogenomics J       Date:  2019-04-11       Impact factor: 3.550

7.  HDAC inhibition induces increased choline uptake and elevated phosphocholine levels in MCF7 breast cancer cells.

Authors:  Christopher S Ward; Pia Eriksson; Jose L Izquierdo-Garcia; Alissa H Brandes; Sabrina M Ronen
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

8.  Identification of potential biomarkers from microarray experiments using multiple criteria optimization.

Authors:  Matilde L Sánchez-Peña; Clara E Isaza; Jaileene Pérez-Morales; Cristina Rodríguez-Padilla; José M Castro; Mauricio Cabrera-Ríos
Journal:  Cancer Med       Date:  2013-02-27       Impact factor: 4.452

9.  Gene expression profiles in canine mammary carcinomas of various grades of malignancy.

Authors:  Karol M Pawłowski; Henryk Maciejewski; Izabella Dolka; Jan A Mol; Tomasz Motyl; Magdalena Król
Journal:  BMC Vet Res       Date:  2013-04-15       Impact factor: 2.741

10.  An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer.

Authors:  Enery Lorenzo; Katia Camacho-Caceres; Alexander J Ropelewski; Juan Rosas; Michael Ortiz-Mojer; Lynn Perez-Marty; Juan Irizarry; Valerie Gonzalez; Jesús A Rodríguez; Mauricio Cabrera-Rios; Clara Isaza
Journal:  Microarrays (Basel)       Date:  2015-06
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