Literature DB >> 20189874

Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials.

Nicolai Juul1, Zoltan Szallasi, Aron C Eklund, Qiyuan Li, Rebecca A Burrell, Marco Gerlinger, Vicente Valero, Eleni Andreopoulou, Francisco J Esteva, W Fraser Symmans, Christine Desmedt, Benjamin Haibe-Kains, Christos Sotiriou, Lajos Pusztai, Charles Swanton.   

Abstract

BACKGROUND: Addition of taxanes to preoperative chemotherapy in breast cancer increases the proportion of patients who have a pathological complete response (pCR). However, a substantial proportion of patients do not respond, and the prognosis is particularly poor for patients with oestrogen-receptor (ER)/progesterone-receptor (PR)/human epidermal growth factor receptor 2 (HER2; ERBB2)-negative (triple-negative) disease who do not achieve a pCR. Reliable identification of such patients is the first step in determining who might benefit from alternative treatment regimens in clinical trials. We previously identified genes involved in mitosis or ceramide metabolism that influenced sensitivity to paclitaxel, with an RNA interference (RNAi) screen in three cancer cell lines, including a triple-negative breast-cancer cell line. Here, we assess these genes as a predictor of pCR to paclitaxel combination chemotherapy in triple-negative breast cancer.
METHODS: We derived a paclitaxel response metagene based on mitotic and ceramide genes identified by functional genomics studies. We used area under the curve (AUC) analysis and multivariate logistic regression to retrospectively assess the metagene in six cohorts of patients with triple-negative breast cancer treated with neoadjuvant chemotherapy; two cohorts treated with paclitaxel (n=27, 30) and four treated without paclitaxel (n=88, 28, 48, 39).
FINDINGS: The metagene was associated with pCR in paclitaxel-treated cohorts (AUC 0.79 [95% CI 0.53-0.93], 0.72 [0.48-0.90]) but not in non-paclitaxel treated cohorts (0.53 [0.31-0.77], 0.59 [0.22-0.82], 0.53 [0.36-0.71], 0.64 [0.43-0.81]). In multivariate logistic regression, the metagene was associated with pCR (OR 19.92, 2.62-151.57; p=0.0039) with paclitaxel-containing chemotherapy.
INTERPRETATION: The paclitaxel response metagene shows promise as a paclitaxel-specific predictor of pCR in patients with triple-negative breast cancer. The metagene is suitable for development into a reverse transcription-PCR assay, for which clinically relevant thresholds could be established in randomised clinical trials. These results highlight the potential for functional genomics to accelerate development of drug-specific predictive biomarkers without the need for training clinical trial cohorts. FUNDING: UK Medical Research Council; Cancer Research UK; the National Institute for Health Research (UK); the Danish Council for Independent Research-Medical Sciences (FSS); Breast Cancer Research Foundation (New York); Fondation Luxembourgeoise contre le Cancer; the Fonds National de la Recherche Scientifique; Brussels Region (IRSIB-IP, Life Sciences 2007) and Walloon Region (Biowin-Keymarker); Sally Pearson Breast Cancer Fund; and the European Commission. 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20189874     DOI: 10.1016/S1470-2045(10)70018-8

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  54 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

2.  Suppression of glucosylceramide synthase restores p53-dependent apoptosis in mutant p53 cancer cells.

Authors:  Yong-Yu Liu; Gauri A Patwardhan; Kaustubh Bhinge; Vineet Gupta; Xin Gu; S Michal Jazwinski
Journal:  Cancer Res       Date:  2011-01-28       Impact factor: 12.701

Review 3.  Weekly paclitaxel in the treatment of recurrent ovarian cancer.

Authors:  Richard D Baird; David S P Tan; Stan B Kaye
Journal:  Nat Rev Clin Oncol       Date:  2010-08-03       Impact factor: 66.675

Review 4.  Ceramide glycosylation catalyzed by glucosylceramide synthase and cancer drug resistance.

Authors:  Yong-Yu Liu; Ronald A Hill; Yu-Teh Li
Journal:  Adv Cancer Res       Date:  2013       Impact factor: 6.242

5.  Glucosylceramide synthase, a factor in modulating drug resistance, is overexpressed in metastatic breast carcinoma.

Authors:  Yong-Yu Liu; Gauri A Patwardhan; Ping Xie; Xin Gu; Armando E Giuliano; Myles C Cabot
Journal:  Int J Oncol       Date:  2011-05-23       Impact factor: 5.650

6.  Effect of HER2 status on distant recurrence in early stage breast cancer.

Authors:  Kenneth R Hess; Francisco J Esteva
Journal:  Breast Cancer Res Treat       Date:  2012-12-06       Impact factor: 4.872

7.  LAPTM4B facilitates late endosomal ceramide export to control cell death pathways.

Authors:  Tomas Blom; Shiqian Li; Andrea Dichlberger; Nils Bäck; Young Ah Kim; Ursula Loizides-Mangold; Howard Riezman; Robert Bittman; Elina Ikonen
Journal:  Nat Chem Biol       Date:  2015-08-17       Impact factor: 15.040

8.  Predictive biomarker discovery through the parallel integration of clinical trial and functional genomics datasets.

Authors:  Charles Swanton; James M Larkin; Marco Gerlinger; Aron C Eklund; Michael Howell; Gordon Stamp; Julian Downward; Martin Gore; P Andrew Futreal; Bernard Escudier; Fabrice Andre; Laurence Albiges; Benoit Beuselinck; Stephane Oudard; Jens Hoffmann; Balázs Gyorffy; Chris J Torrance; Karen A Boehme; Hansjuergen Volkmer; Luisella Toschi; Barbara Nicke; Marlene Beck; Zoltan Szallasi
Journal:  Genome Med       Date:  2010-08-11       Impact factor: 11.117

9.  A retrospective analysis of clinical outcome of patients with chemo-refractory metastatic breast cancer treated in a single institution phase I unit.

Authors:  A T Brunetto; D Sarker; D Papadatos-Pastos; R Fehrmann; S B Kaye; S Johnston; M Allen; J S De Bono; C Swanton
Journal:  Br J Cancer       Date:  2010-07-27       Impact factor: 7.640

10.  RNA interference (RNAi) screening approach identifies agents that enhance paclitaxel activity in breast cancer cells.

Authors:  Joshua A Bauer; Fei Ye; Clayton B Marshall; Brian D Lehmann; Christopher S Pendleton; Yu Shyr; Carlos L Arteaga; Jennifer A Pietenpol
Journal:  Breast Cancer Res       Date:  2010-06-24       Impact factor: 6.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.