Literature DB >> 21373875

TP53 genomics predict higher clinical and pathologic tumor response in operable early-stage breast cancer treated with docetaxel-capecitabine ± trastuzumab.

Stefan Glück1, Jeffrey S Ross, Melanie Royce, Edward F McKenna, Charles M Perou, Eli Avisar, Lin Wu.   

Abstract

To determine rates of pathologic complete response (pCR) and near-complete response (npCR) in operable early-stage breast cancer using neoadjuvant capecitabine plus docetaxel, with or without trastuzumab, and investigate biomarkers of pathologic response. Women with operable early-stage breast cancer were enrolled in a multicenter study of neoadjuvant therapy for four 21-day cycles with capecitabine 825 mg/m(2) plus docetaxel 75 mg/m(2) if human epidermal growth factor receptor 2 (HER2)-negative, and additionally, a standard trastuzumab dose if HER2-positive. Primary endpoint was rate of pCR and npCR. Secondary endpoints were potential associations between response and TP53 mutational analysis using the AmpliChip TP53 assay or immunohistochemical (IHC) staining, and genomic subtyping using the PAM50 assay. In patients who completed treatment and surgery, pCR and npCR rates were 15.8% in patients with HER2-negative and 50% in patients with HER2-positive tumors. Stratified by genomic subtype, patients of HER2-enriched subtype had the best response (72.2%), and luminal A (9.1%) and B (4.8%) subtypes, the poorest. Of 147 patients tested for TP53 mutations using the AmpliChip assay, 78 variants were detected; 55 were missense. Response rate among TP53-mutated patients was 30%, significantly higher than TP53 wild-type patients (10%; P = 0.0032). Concordance between AmpliChip mutation status versus TP53 IHC staining was 65%, with AmpliChip status predictive of response and IHC status not predictive. Capecitabine plus docetaxel in HER2-negative, and with trastuzumab in HER2-positive patients, provided a good response rate with four cycles of non-anthracycline-containing therapy. TP53 mutational analysis and genomic subtyping were predictive.

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Year:  2011        PMID: 21373875     DOI: 10.1007/s10549-011-1412-7

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


  113 in total

Review 1.  Practical implications of gene-expression-based assays for breast oncologists.

Authors:  Aleix Prat; Matthew J Ellis; Charles M Perou
Journal:  Nat Rev Clin Oncol       Date:  2011-12-06       Impact factor: 66.675

2.  MAPK/ERK signaling pathway-induced hyper-O-GlcNAcylation enhances cancer malignancy.

Authors:  Xinling Zhang; Leina Ma; Jieqiong Qi; Hui Shan; Wengong Yu; Yuchao Gu
Journal:  Mol Cell Biochem       Date:  2015-08-29       Impact factor: 3.396

3.  The Presence of Serum p53 Antibody Predicts the Pathological Tumor Response to Neoadjuvant Chemotherapy with Docetaxel, Cisplatin and Fluorouracil (DCF) in Esophageal Squamous Cell Carcinoma.

Authors:  Yukiharu Hiyoshi; Naoya Yoshida; Masayuki Watanabe; Junji Kurashige; Yoshifumi Baba; Yasuo Sakamoto; Hideo Baba
Journal:  World J Surg       Date:  2017-02       Impact factor: 3.352

4.  Cytoplasmic translocation of MTA1 coregulator promotes de-repression of SGK1 transcription in hypoxic cancer cells.

Authors:  H Marzook; S Deivendran; B George; G Reshmi; T R Santhoshkumar; R Kumar; M R Pillai
Journal:  Oncogene       Date:  2017-05-15       Impact factor: 9.867

5.  Gene expression profiling in breast cancer.

Authors:  Belisario A Arango; Celine L Rivera; Stefan Glück
Journal:  Am J Transl Res       Date:  2013-03-28       Impact factor: 4.060

6.  Integrated Analysis of RNA and DNA from the Phase III Trial CALGB 40601 Identifies Predictors of Response to Trastuzumab-Based Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer.

Authors:  Maki Tanioka; Cheng Fan; Joel S Parker; Katherine A Hoadley; Zhiyuan Hu; Yan Li; Terry M Hyslop; Brandelyn N Pitcher; Matthew G Soloway; Patricia A Spears; Lynn N Henry; Sara Tolaney; Chau T Dang; Ian E Krop; Lyndsay N Harris; Donald A Berry; Elaine R Mardis; Eric P Winer; Clifford A Hudis; Lisa A Carey; Charles M Perou
Journal:  Clin Cancer Res       Date:  2018-07-23       Impact factor: 12.531

7.  Targeting PLK1 overcomes T-DM1 resistance via CDK1-dependent phosphorylation and inactivation of Bcl-2/xL in HER2-positive breast cancer.

Authors:  Özge Saatci; Simone Borgoni; Özge Akbulut; Selvi Durmuş; Umar Raza; Erol Eyüpoğlu; Can Alkan; Aytekin Akyol; Özgür Kütük; Stefan Wiemann; Özgür Şahin
Journal:  Oncogene       Date:  2018-02-02       Impact factor: 9.867

Review 8.  TP53 Mutations and Outcomes in Breast Cancer: Reading beyond the Headlines.

Authors:  Ashkan Shahbandi; Hoang D Nguyen; James G Jackson
Journal:  Trends Cancer       Date:  2020-02-05

9.  Radiation-induced gene signature predicts pathologic complete response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Daniel S Oh; Maggie C U Cheang; Cheng Fan; Charles M Perou
Journal:  Radiat Res       Date:  2014-02-14       Impact factor: 2.841

10.  Ly6E/K Signaling to TGFβ Promotes Breast Cancer Progression, Immune Escape, and Drug Resistance.

Authors:  Midrar AlHossiny; Linlin Luo; William R Frazier; Noriko Steiner; Yuriy Gusev; Bhaskar Kallakury; Eric Glasgow; Karen Creswell; Subha Madhavan; Rakesh Kumar; Geeta Upadhyay
Journal:  Cancer Res       Date:  2016-04-11       Impact factor: 12.701

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