Literature DB >> 17020986

Overexpression of caspase-3s splice variant in locally advanced breast carcinoma is associated with poor response to neoadjuvant chemotherapy.

Frédérique Végran1, Romain Boidot, Claire Oudin, Jean-Marc Riedinger, Franck Bonnetain, Sarab Lizard-Nacol.   

Abstract

PURPOSE: CASP-3 gene gives rise, by alternative splicing to a caspase-3s variant, to the antagonist apoptotic property of caspase-3. Deregulation of splicing in tumor cells favoring the expression of antiapoptotic variants has been reported to contribute to both tumorigenesis and chemoresistance. Thus, we investigated the role of caspase-3 and its splice variant in breast cancer cells. EXPERIMENTAL
DESIGN: Breast tumor cell lines deficient (MCF-7) and proficient (HBL100) for CASP-3 gene were transfected with each transcript and were characterized for their apoptotic response to cyclophosphamide. Expression of the two transcripts were measured by reverse transcription-PCR in 130 breast carcinomas, including 90 locally advanced tumors treated with neoadjuvant chemotherapy containing cyclophosphamide, epirubicine, and 5-fluorouracil.
RESULTS: Overexpression of caspase-3s variant in caspase-3-transfected cell lines significantly inhibits apoptosis induced by cyclophosphamide (P < 0.0001 for both cell lines). In breast tissues, only caspase-3 levels were higher in carcinomas than in corresponding adjacent normal tissues (P = 0.0396). Locally advanced carcinomas with high levels of caspase-3 (P < 0.0001) and weak levels of caspase-3s (P = 0.0248) were more sensitive to treatment. Therefore, increase in caspase-3s/caspase3 ratio expression was significantly associated with chemoresistance (P = 0.01). Logistic univariate and multivariate analyses realized according to pathologic response confirm that increased caspase-3s expression was indicative of chemoresistance (P = 0.012 and P = 0.026, respectively).
CONCLUSIONS: The results agree with an antagonist function between the two transcripts of caspase-3 and show that their ratio of expression levels may define a subset of locally advanced breast cancer patients who are more likely to benefit from neoadjuvant cyclophosphamide-containing chemotherapy.

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Year:  2006        PMID: 17020986     DOI: 10.1158/1078-0432.CCR-06-0725

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  28 in total

1.  Functional implications of structural predictions for alternative splice proteins expressed in Her2/neu-induced breast cancers.

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2.  DeepIsoFun: a deep domain adaptation approach to predict isoform functions.

Authors:  Dipan Shaw; Hao Chen; Tao Jiang
Journal:  Bioinformatics       Date:  2019-08-01       Impact factor: 6.937

Review 3.  Function of alternative splicing.

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Journal:  Gene       Date:  2012-08-15       Impact factor: 3.688

4.  Distinct splice variants and pathway enrichment in the cell-line models of aggressive human breast cancer subtypes.

Authors:  Rajasree Menon; Hogune Im; Emma Yue Zhang; Shiaw-Lin Wu; Rui Chen; Michael Snyder; William S Hancock; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2013-11-07       Impact factor: 4.466

Review 5.  Aberrant RNA splicing in cancer; expression changes and driver mutations of splicing factor genes.

Authors:  A Sveen; S Kilpinen; A Ruusulehto; R A Lothe; R I Skotheim
Journal:  Oncogene       Date:  2015-08-24       Impact factor: 9.867

Review 6.  The emerging era of genomic data integration for analyzing splice isoform function.

Authors:  Hong-Dong Li; Rajasree Menon; Gilbert S Omenn; Yuanfang Guan
Journal:  Trends Genet       Date:  2014-06-17       Impact factor: 11.639

7.  IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation.

Authors:  Hong-Dong Li; Changhuo Yang; Zhimin Zhang; Mengyun Yang; Fang-Xiang Wu; Gilbert S Omenn; Jianxin Wang
Journal:  Bioinformatics       Date:  2021-05-01       Impact factor: 6.937

8.  A chromosome-centric human proteome project (C-HPP) to characterize the sets of proteins encoded in chromosome 17.

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Journal:  J Proteome Res       Date:  2012-12-21       Impact factor: 4.466

Review 9.  A new class of protein cancer biomarker candidates: differentially expressed splice variants of ERBB2 (HER2/neu) and ERBB1 (EGFR) in breast cancer cell lines.

Authors:  Gilbert S Omenn; Yuanfang Guan; Rajasree Menon
Journal:  J Proteomics       Date:  2014-05-05       Impact factor: 4.044

10.  Predicting environmental chemical factors associated with disease-related gene expression data.

Authors:  Chirag J Patel; Atul J Butte
Journal:  BMC Med Genomics       Date:  2010-05-06       Impact factor: 3.063

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