Literature DB >> 25767340

Can molecular subtyping replace axillary nodal status as prognostic marker in breast cancer?

Debarshi Jana1, Diptendra Kumar Sarkar1, Suvro Ganguly1, Abhirup Banerjee1, Asim Kumar Manna1, Syamsundar Mandal2.   

Abstract

Subtypes are an established prognostic factor of BC in western population but its significance in Indian BC patients has not been evaluated. Thus this study provides an insight into the prognostic significance of molecular classification and its effect on the survival of BC patients in Eastern India. In this hospital based study 242 BC patients attending a Comprehensive Breast Service Clinic of a reputed institute in Eastern India and having IDC were studied over a period of 7 years (January 2007 to October 2013). Nonluminal HER-2-positive and Triple negative tumors were associated with advanced stage of disease, metastatic lymph nodes and NPI ≥5.4, whereas Luminal 1 and Luminal 2 tumors were associated with early stage, uninvolved lymph nodes and NPI <5.4. Better survival was observed for the patients with Luminal 1 [OS = 57.1 % (n = 36)] and Luminal 2 [OS = 60.0 % (n = 6)], compared to Triple negative [OS = 33.6 % (n = 38)] and nonluminal HER-2-positive tumors [OS = 32.1 % (n = 18)]. This study provided some idea about the pattern of BC on the basis of classification by molecular profiling. Our study indicated that Triple negative and nonluminal HER-2-positive tumors have reduced DFS and OS compared with luminal 1 and 2 subtypes. In our patients, Triple negative and nonluminal HER-2-positive tumors were associated with established unfavorable prognostic indicators and this reflects the data in the western literature. The results suggest that the molecular subtypes are an independent prognostic and predictive marker in Indian BC patients. Whether or not molecular subtyping of breast cancer can replace axillary lymph nodes as the standard in prognosis remains to be seen, but if molecular subtyping can provide more information than the axilla about the prognosis and treatment option, it may well be the future of prognostication.

Entities:  

Keywords:  Breast cancer; Nottingham Prognostic Index (NPI); Prognostic significance; Subtypes; Survival

Year:  2014        PMID: 25767340      PMCID: PMC4354832          DOI: 10.1007/s13193-014-0309-4

Source DB:  PubMed          Journal:  Indian J Surg Oncol        ISSN: 0975-7651


  40 in total

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Journal:  Breast Cancer Res Treat       Date:  2011-01-11       Impact factor: 4.872

2.  The association between biological subtype and isolated regional nodal failure after breast-conserving therapy.

Authors:  Jennifer Y Wo; Alphonse G Taghian; Paul L Nguyen; Rita Abi Raad; Meera Sreedhara; Jennifer R Bellon; Julia S Wong; Michele A Gadd; Barbara L Smith; Jay R Harris
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Review 3.  Use of trastuzumab for the treatment of early stage breast cancer.

Authors:  Sofia Braga; Lissandra dal Lago; Chantal Bernard; Fátima Cardoso; Martine Piccart
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4.  Estrogen-receptor status and outcomes of modern chemotherapy for patients with node-positive breast cancer.

Authors:  Donald A Berry; Constance Cirrincione; I Craig Henderson; Marc L Citron; Daniel R Budman; Lori J Goldstein; Silvana Martino; Edith A Perez; Hyman B Muss; Larry Norton; Clifford Hudis; Eric P Winer
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

5.  Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer.

Authors:  Martine J Piccart-Gebhart; Marion Procter; Brian Leyland-Jones; Aron Goldhirsch; Michael Untch; Ian Smith; Luca Gianni; Jose Baselga; Richard Bell; Christian Jackisch; David Cameron; Mitch Dowsett; Carlos H Barrios; Günther Steger; Chiun-Shen Huang; Michael Andersson; Moshe Inbar; Mikhail Lichinitser; István Láng; Ulrike Nitz; Hiroji Iwata; Christoph Thomssen; Caroline Lohrisch; Thomas M Suter; Josef Rüschoff; Tamás Suto; Victoria Greatorex; Carol Ward; Carolyn Straehle; Eleanor McFadden; M Stella Dolci; Richard D Gelber
Journal:  N Engl J Med       Date:  2005-10-20       Impact factor: 91.245

6.  Prognostic impact of discordance between triple-receptor measurements in primary and recurrent breast cancer.

Authors:  C Liedtke; K Broglio; S Moulder; L Hsu; S-W Kau; W F Symmans; C Albarracin; F Meric-Bernstam; W Woodward; R L Theriault; L Kiesel; G N Hortobagyi; L Pusztai; A M Gonzalez-Angulo
Journal:  Ann Oncol       Date:  2009-07-12       Impact factor: 32.976

7.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

8.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

9.  Relationship among outcome, stage of disease, and histologic grade for 22,616 cases of breast cancer. The basis for a prognostic index.

Authors:  D E Henson; L Ries; L S Freedman; M Carriaga
Journal:  Cancer       Date:  1991-11-15       Impact factor: 6.860

10.  Nottingham Prognostic Index in triple-negative breast cancer: a reliable prognostic tool?

Authors:  André Albergaria; Sara Ricardo; Fernanda Milanezi; Vítor Carneiro; Isabel Amendoeira; Daniella Vieira; Jorge Cameselle-Teijeiro; Fernando Schmitt
Journal:  BMC Cancer       Date:  2011-07-15       Impact factor: 4.430

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  4 in total

1.  Molecular Profile and Clinico-pathological Characteristics of Breast Cancer in Central India: First Investigative Report.

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Review 2.  Prevalence of Molecular Subtypes of Breast Cancer in India: a Systematic Review and Meta-analysis.

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Journal:  Indian J Surg Oncol       Date:  2020-10-28

Review 3.  Prevalence of Triple-Negative Breast Cancer in India: Systematic Review and Meta-Analysis.

Authors:  Gurprataap S Sandhu; Sebhat Erqou; Heidi Patterson; Aju Mathew
Journal:  J Glob Oncol       Date:  2016-06-29

4.  Meta-Analysis of Prevalence of Triple-Negative Breast Cancer and Its Clinical Features at Incidence in Indian Patients With Breast Cancer.

Authors:  Apurv Kulkarni; Devaki A Kelkar; Nidhi Parikh; Lingadahalli S Shashidhara; Chaitanyanand B Koppiker; Madhura Kulkarni
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  4 in total

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