Literature DB >> 28884749

Comprehensive clinical and molecular analyses of neuroendocrine carcinomas of the breast.

Marion Lavigne1, Emmanuelle Menet2, Jean-Christophe Tille3, Marick Lae1, Laetitia Fuhrmann1, Claire Bonneau4, Gabrielle Deniziaut1, Samia Melaabi1, Charlotte C K Ng5, Caterina Marchiò6, Roman Rouzier4, Ivan Bièche1, Anne Vincent-Salomon1,7.   

Abstract

Neuroendocrine breast carcinomas represent a rare subtype of breast cancer. Their definition, prevalence, and prognosis remain controversial in the literature. The 2012 WHO classification of breast cancer categorizes neuroendocrine carcinomas into three morphologically distinct subtypes: well-differentiated neuroendocrine tumors, poorly differentiated neuroendocrine carcinomas, and invasive breast carcinomas with neuroendocrine differentiation. We aimed to gain insight into the clinical, morphologic, phenotypic, and molecular features of 47 neuroendocrine breast carcinomas. Targeted next-generation sequencing by an AmpliSeq 22 cancer gene hotspot panel and the Prosigna assay were performed on 42/47 and 35/47 cases, respectively. Average age at diagnosis was 69 years. All tumors were estrogen receptor-positive and the large majority expressed progesterone receptor (89%), GATA3 (98%), FOXA1 (96%), and CK8/18 (98%). There was an almost equal distribution of luminal A (52%) and B (48%) carcinomas. Almost half of the cohort (49%) displayed a high risk of recurrence score with the Prosigna test. Patients with a neuroendocrine carcinoma had a shorter disease-free survival compared with those affected by carcinomas of no special type matched for age, size, grade, and estrogen receptor status. No significant differences were observed in terms of overall survival. Stratification of neuroendocrine carcinomas using the 2012 WHO criteria did not reveal statistically significant differences among the distinct categories (well-differentiated neuroendocrine tumors, poorly differentiated neuroendocrine carcinomas, and invasive breast carcinomas with neuroendocrine differentiation), in terms of either progression-free or overall survival. Our targeted sequencing analysis found three cases (7%) harboring a PIK3CA mutation, and in three other cases (7%) TP53 mutations were detected. This study showed that neuroendocrine breast carcinoma is a distinct subtype of luminal carcinoma with a low rate of PIK3CA mutations and with an aggressive clinical behavior. An accurate identification of neuroendocrine differentiation may be useful to better tailor patient adjuvant therapy within luminal carcinomas.

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Year:  2017        PMID: 28884749     DOI: 10.1038/modpathol.2017.107

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  41 in total

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2.  Ultrastructural features of neuroendocrine differentiated carcinomas of the breast.

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Journal:  Ultrastruct Pathol       Date:  1990 Jul-Aug       Impact factor: 1.094

3.  Small cell carcinoma of the breast: a clinicopathologic and immunohistochemical study of nine patients.

Authors:  S J Shin; R A DeLellis; L Ying; P P Rosen
Journal:  Am J Surg Pathol       Date:  2000-09       Impact factor: 6.394

4.  Neuroendocrine differentiation and prognosis in breast adenocarcinoma.

Authors:  A Miremadi; S E Pinder; A H S Lee; J A Bell; E C Paish; P Wencyk; C W Elston; R I Nicholson; R W Blamey; J F Robertson; I O Ellis
Journal:  Histopathology       Date:  2002-03       Impact factor: 5.087

5.  Invasive neuroendocrine carcinoma of the breast: a prognostic research of 107 Chinese patients.

Authors:  Y Zhang; Z Chen; Y Bao; Z Du; Q Li; Y Zhao; F Tang
Journal:  Neoplasma       Date:  2013       Impact factor: 2.575

6.  Mucinous and neuroendocrine breast carcinomas are transcriptionally distinct from invasive ductal carcinomas of no special type.

Authors:  Britta Weigelt; Felipe C Geyer; Hugo M Horlings; Bas Kreike; Hans Halfwerk; Jorge S Reis-Filho
Journal:  Mod Pathol       Date:  2009-07-24       Impact factor: 7.842

7.  Solid papillary carcinoma of the breast. A form of intraductal carcinoma with endocrine differentiation frequently associated with mucinous carcinoma.

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Journal:  Am J Surg Pathol       Date:  1995-11       Impact factor: 6.394

8.  PIK3CA mutation associates with improved outcome in breast cancer.

Authors:  Kevin Kalinsky; Lindsay M Jacks; Adriana Heguy; Sujata Patil; Marija Drobnjak; Umeshkumar K Bhanot; Cyrus V Hedvat; Tiffany A Traina; David Solit; William Gerald; Mary Ellen Moynahan
Journal:  Clin Cancer Res       Date:  2009-08-11       Impact factor: 12.531

9.  PIK3CA mutation impact on survival in breast cancer patients and in ERα, PR and ERBB2-based subgroups.

Authors:  Magdalena Cizkova; Aurélie Susini; Sophie Vacher; Géraldine Cizeron-Clairac; Catherine Andrieu; Keltouma Driouch; Emmanuelle Fourme; Rosette Lidereau; Ivan Bièche
Journal:  Breast Cancer Res       Date:  2012-02-13       Impact factor: 6.466

10.  Erratum: The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes.

Authors:  Bernard Pereira; Suet-Feung Chin; Oscar M Rueda; Hans-Kristian Moen Vollan; Elena Provenzano; Helen A Bardwell; Michelle Pugh; Linda Jones; Roslin Russell; Stephen-John Sammut; Dana W Y Tsui; Bin Liu; Sarah-Jane Dawson; Jean Abraham; Helen Northen; John F Peden; Abhik Mukherjee; Gulisa Turashvili; Andrew R Green; Steve McKinney; Arusha Oloumi; Sohrab Shah; Nitzan Rosenfeld; Leigh Murphy; David R Bentley; Ian O Ellis; Arnie Purushotham; Sarah E Pinder; Anne-Lise Børresen-Dale; Helena M Earl; Paul D Pharoah; Mark T Ross; Samuel Aparicio; Carlos Caldas
Journal:  Nat Commun       Date:  2016-06-06       Impact factor: 14.919

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  22 in total

1.  Validation of prognostic significance of the proposed uniform classification framework in neuroendocrine neoplasms of the breast.

Authors:  Libo Yang; Madhuchhanda Roy; Heather Lin; Yu Shen; Constance Albarracin; Lei Huo; Hui Chen; Bing Wei; Isabelle Bedrosian; Hong Bu; Yun Wu
Journal:  Breast Cancer Res Treat       Date:  2021-02-02       Impact factor: 4.872

2.  The Clinical Significance of Neuroendocrine Features in Invasive Breast Carcinomas.

Authors:  Billy Shui-Wun Lai; Julia Y Tsang; Ivan K Poon; Yan Shao; Siu-Ki Chan; Fiona K Tam; Sai-Yin Cheung; Ka-Ho Shea; Gary M Tse
Journal:  Oncologist       Date:  2020-06-16

Review 3.  The classification of neuroendocrine neoplasms of the breast and its clinical relevance.

Authors:  Silvia Uccella
Journal:  Virchows Arch       Date:  2021-10-26       Impact factor: 4.064

4.  A high-quality model for predicting the prognosis of breast neuroendocrine carcinoma to help clinicians decide on appropriate treatment methods: A population-based analysis.

Authors:  Yu-Qiu Chen; Xiao-Fan Xu; Jia-Wei Xu; Tian-Yu Di; Xu-Lin Wang; Li-Qun Huo; Lu Wang; Jun Gu; Guo-Hua Zhou
Journal:  Transl Oncol       Date:  2022-06-11       Impact factor: 4.803

Review 5.  Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments.

Authors:  Ugo Testa; Germana Castelli; Elvira Pelosi
Journal:  Med Sci (Basel)       Date:  2020-03-23

Review 6.  Rare Breast Cancer Subtypes.

Authors:  Sarah Jenkins; Megan E Kachur; Kamil Rechache; Justin M Wells; Stanley Lipkowitz
Journal:  Curr Oncol Rep       Date:  2021-03-23       Impact factor: 5.075

Review 7.  Breast cancer with neuroendocrine differentiation: an update based on the latest WHO classification.

Authors:  Julia Y Tsang; Gary M Tse
Journal:  Mod Pathol       Date:  2021-02-02       Impact factor: 7.842

8.  Neuroendocrine Tumors of the Breast: Single-Center Experience.

Authors:  Bermal Hasbay; Hüseyin Özgür Aytaç; Filiz Aka Bolat
Journal:  Eur J Breast Health       Date:  2021-12-30

9.  Clinical and genomic analyses of neuroendocrine neoplasms of the breast.

Authors:  Yani Wei; Xuexuan Ke; Jiaxiu Yu; Qiuyang Jing; Hong Bu; Xiangfei Zeng; Bing Wei
Journal:  Mod Pathol       Date:  2021-11-02       Impact factor: 7.842

Review 10.  Histology of Luminal Breast Cancer.

Authors:  Ramona Erber; Arndt Hartmann
Journal:  Breast Care (Basel)       Date:  2020-07-15       Impact factor: 2.860

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