Literature DB >> 23124476

Clinical and biologic features of triple-negative breast cancers in a large cohort of patients with long-term follow-up.

L Malorni1, P B Shetty, C De Angelis, S Hilsenbeck, M F Rimawi, R Elledge, C K Osborne, S De Placido, G Arpino.   

Abstract

Studies on well characterized, large populations of estrogen receptor (ER)/progesterone receptor (PgR)/HER2-negative [triple-negative (TN)] breast cancer (BC) patients with long-term follow-up are lacking. In this study, we analyze clinical outcomes of TN BC and implications of epidermal growth factor receptor (EGFR) expression. Clinical and biologic features, time to first recurrence (TTFR), and overall survival (OS) were compared in 253 TN versus 1,036 ER positive, PgR positive, HER2-negative [estrogen-driven (ED)] BC. Compared to ED, TN tumors were larger (p = 0.02), more proliferative (high S-phase 54 vs. 17 %, p < 0.0001), more aneuploid (64 vs. 43 %, p < 0.0001) and more likely EGFR positive (≥10 fmol/mg by radioligand-binding assay, 49 vs. 7 %, p < 0.0001). Among TN, EGFR-positive BC were larger (p = 0.0018), more proliferative (p < 0.0001), and more aneuploid, (p < 0.0001) than EGFR-negative BC. Adjuvant-treated TN patients had shorter TTFR (p = 0.0003), and OS (p = 0.0017), than ED patients. However, in untreated patients, no differences in TTFR and OS were observed at 8 years median follow-up. Among TN patients, EGFR expression was not associated with worse outcome. TN tumors have a worse outcome in systemically treated patients but not in untreated patients. EGFR expression, does not predict for worse long-term survival.

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Year:  2012        PMID: 23124476      PMCID: PMC3513514          DOI: 10.1007/s10549-012-2315-y

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


  32 in total

1.  Prediction of relapse or survival in patients with node-negative breast cancer by DNA flow cytometry.

Authors:  G M Clark; L G Dressler; M A Owens; G Pounds; T Oldaker; W L McGuire
Journal:  N Engl J Med       Date:  1989-03-09       Impact factor: 91.245

2.  DNA flow cytometry and prognostic factors in 1331 frozen breast cancer specimens.

Authors:  L G Dressler; L C Seamer; M A Owens; G M Clark; W L McGuire
Journal:  Cancer       Date:  1988-02-01       Impact factor: 6.860

Review 3.  EGFR and cancer prognosis.

Authors:  R I Nicholson; J M Gee; M E Harper
Journal:  Eur J Cancer       Date:  2001-09       Impact factor: 9.162

4.  Measurement of progesterone receptor in human breast cancer biopsies.

Authors:  B Powell; R E Garola; G C Chamness; W L McGuire
Journal:  Cancer Res       Date:  1979-05       Impact factor: 12.701

5.  Correlation of HER-2/neu amplification with expression and with other prognostic factors in 1103 breast cancers.

Authors:  D R Ciocca; F K Fujimura; A K Tandon; G M Clark; C Mark; G J Lee-Chen; G W Pounds; P Vendely; M A Owens; M R Pandian
Journal:  J Natl Cancer Inst       Date:  1992-08-19       Impact factor: 13.506

6.  Evaluation of estrogen receptor assays in human breast cancer tissue.

Authors:  W L McGuire; M De La Garza; G C Chamness
Journal:  Cancer Res       Date:  1977-03       Impact factor: 12.701

7.  Effect of epidermal growth factor receptor inhibitor on development of estrogen receptor-negative mammary tumors.

Authors:  Chunhua Lu; Corey Speers; Yun Zhang; Xiaochun Xu; Jamal Hill; Emily Steinbis; Joseph Celestino; Qiang Shen; Heetae Kim; Susan Hilsenbeck; Syed K Mohsin; Alan Wakeling; C Kent Osborne; Powel H Brown
Journal:  J Natl Cancer Inst       Date:  2003-12-17       Impact factor: 13.506

8.  DNA ploidy, S-phase, and steroid receptors in more than 127,000 breast cancer patients.

Authors:  C R Wenger; S Beardslee; M A Owens; G Pounds; T Oldaker; P Vendely; M R Pandian; D Harrington; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993-10       Impact factor: 4.872

9.  Prognostic significance of S-phase fraction in good-risk, node-negative breast cancer patients.

Authors:  G M Clark; M C Mathieu; M A Owens; L G Dressler; L Eudey; D C Tormey; C K Osborne; K W Gilchrist; E G Mansour; M D Abeloff
Journal:  J Clin Oncol       Date:  1992-03       Impact factor: 44.544

10.  Repeated observation of breast tumor subtypes in independent gene expression data sets.

Authors:  Therese Sorlie; Robert Tibshirani; Joel Parker; Trevor Hastie; J S Marron; Andrew Nobel; Shibing Deng; Hilde Johnsen; Robert Pesich; Stephanie Geisler; Janos Demeter; Charles M Perou; Per E Lønning; Patrick O Brown; Anne-Lise Børresen-Dale; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-26       Impact factor: 12.779

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  74 in total

1.  Radiomics Analysis of MRI for Predicting Molecular Subtypes of Breast Cancer in Young Women.

Authors:  Qinmei Li; James Dormer; Priyanka Daryani; Deji Chen; Zhenfeng Zhang; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-13

2.  Triple-Negative Breast Cancer Cells Exhibit Differential Sensitivity to Cardenolides from Calotropis gigantea.

Authors:  Petra J Pederson; Shengxin Cai; Chase Carver; Douglas R Powell; April L Risinger; Tanja Grkovic; Barry R O'Keefe; Susan L Mooberry; Robert H Cichewicz
Journal:  J Nat Prod       Date:  2020-07-10       Impact factor: 4.050

Review 3.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

4.  Integrative network-based approach identifies central genetic and transcriptomic elements in triple-negative breast cancer.

Authors:  Ramireddy Sriroopreddy; C Sudandiradoss
Journal:  Funct Integr Genomics       Date:  2017-12-19       Impact factor: 3.410

5.  Phase 1 Study of Erlotinib and Metformin in Metastatic Triple-Negative Breast Cancer.

Authors:  Kathleen Fenn; Matthew Maurer; Shing M Lee; Katherine D Crew; Meghna S Trivedi; Melissa K Accordino; Dawn L Hershman; Kevin Kalinsky
Journal:  Clin Breast Cancer       Date:  2019-08-29       Impact factor: 3.225

6.  Layer-by-layer assembled PLGA nanoparticles carrying miR-34a cargo inhibit the proliferation and cell cycle progression of triple-negative breast cancer cells.

Authors:  Chintan H Kapadia; Stephen A Ioele; Emily S Day
Journal:  J Biomed Mater Res A       Date:  2019-11-26       Impact factor: 4.396

7.  RAD6B is a major mediator of triple negative breast cancer cisplatin resistance: Regulation of translesion synthesis/Fanconi anemia crosstalk and BRCA1 independence.

Authors:  Brittany Haynes; Ambikai Gajan; Pratima Nangia-Makker; Malathy P Shekhar
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2019-10-19       Impact factor: 5.187

8.  Blocking LLT1 (CLEC2D, OCIL)-NKRP1A (CD161) interaction enhances natural killer cell-mediated lysis of triple-negative breast cancer cells.

Authors:  Armando M Marrufo; Stephen O Mathew; Pankaj Chaudhary; Joseph D Malaer; Jamboor K Vishwanatha; Porunelloor A Mathew
Journal:  Am J Cancer Res       Date:  2018-06-01       Impact factor: 6.166

Review 9.  Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease.

Authors:  Giampaolo Bianchini; Justin M Balko; Ingrid A Mayer; Melinda E Sanders; Luca Gianni
Journal:  Nat Rev Clin Oncol       Date:  2016-05-17       Impact factor: 66.675

10.  KDM1A inhibition is effective in reducing stemness and treating triple negative breast cancer.

Authors:  Mei Zhou; Prabhakar Pitta Venkata; Suryavathi Viswanadhapalli; Bridgitte Palacios; Salvador Alejo; Yihong Chen; Yi He; Uday P Pratap; Junhao Liu; Yi Zou; Zhao Lai; Takayoshi Suzuki; Andrew J Brenner; Rajeshwar R Tekmal; Ratna K Vadlamudi; Gangadhara R Sareddy
Journal:  Breast Cancer Res Treat       Date:  2020-10-14       Impact factor: 4.872

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