Literature DB >> 32472950

The Clinical Significance of Neuroendocrine Features in Invasive Breast Carcinomas.

Billy Shui-Wun Lai1, Julia Y Tsang2, Ivan K Poon2, Yan Shao2, Siu-Ki Chan3, Fiona K Tam3, Sai-Yin Cheung4, Ka-Ho Shea4, Gary M Tse2.   

Abstract

The latest World Health Organization (WHO) classification categorized invasive breast carcinomas (IBCs) with neuroendocrine (NE) differentiations into neuroendocrine neoplasms (including well-differentiated neuroendocrine tumor [NET] and poorly differentiated neuroendocrine carcinoma [NEC]) and IBC no special type with NE features (IBC-NST-NE). However, little is documented of the clinical significance of this classification; also the precise thresholds and choices of NE markers were variable. In the current study, a large cohort of patients with IBC with NE differentiation were morphologically classified based on the WHO criteria and the clinical relevance of expression of different NE markers (synaptophysin [SYN], chromogranin [CG], and CD56) was evaluated. Among 1,372 IBCs, 52 NET (3.8%) and 172 IBC-NST-NE (12.5%) were identified. Compared with the IBC-no NE cases, NET and IBC-NST-NE were similarly associated with positive estrogen receptor (ER) expression and lower grade (p < .001). For patient outcome, IBC-NST-NE, but not NET, demonstrated significantly worse survival than the IBC-no NE cases. Based on high (≥50%) and low (<50%) expression for each NE marker, independent poor disease-free survival for SYNlo CGlo and SYNhi CGlo cancers (IBC-no NE cases as references, hazard ratio [HR], ≤1.429; p ≤ .026) was found. Interestingly, SYN and CG expression correlated with each other and they shared similar clinicopathologic characteristics; but not with with CD56. In addition, CD56-only positive cases were associated with hormone receptors negativity and basal markers positivity (p ≤ .019), and patients' outcome was similar to IBC-no NE cancers. Our findings suggested that NE markers expression may provide information to fine tune treatment strategy. The relevance of CD56 as NE marker requires further studies. IMPLICATIONS FOR PRACTICE: Invasive breast carcinomas (IBCs) with neuroendocrine (NE) differentiation are heterogeneous in clinicopathologic parameters, biomarker expression, and prognosis. However, there are no specific therapies targeting NE differentiation, and all carcinomas with any NE differentiation are treated similarly as other IBCs. The results of this study suggest that stratification based on NE marker expression levels may provide added prognostically pertinent information, aiding better treatment strategy. In addition, CD56-only positive carcinomas showed a different clinicopathologic and biomarker expression profile compared with those with chromogranin and synaptophysin expression. Relevance of CD56 as an NE marker requires further studies. © AlphaMed Press 2020.

Entities:  

Keywords:  Breast cancer; CD56; Chromogranin; Neuroendocrine differentiation; Synpatophysin

Mesh:

Substances:

Year:  2020        PMID: 32472950      PMCID: PMC7485343          DOI: 10.1634/theoncologist.2020-0081

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  26 in total

Review 1.  Practical markers used in the diagnosis of neuroendocrine tumors.

Authors:  Ricardo V Lloyd
Journal:  Endocr Pathol       Date:  2003       Impact factor: 3.943

2.  Is CD56 a specific and reliable neuroendocrine marker for discriminating between endocrine/neuroendocrine ductal carcinoma in situ and intraductal papilloma of the breast?

Authors:  Tomonori Kawasaki; Tetsuo Kondo; Tadao Nakazawa; Kunio Mochizuki; Tetsu Yamane; Shin-Ichi Murata; Shingo Inoue; Hiroko Tsunoda; Ryohei Katoh
Journal:  Pathol Int       Date:  2011-01       Impact factor: 2.534

3.  Invasive neuroendocrine carcinoma of the breast: a distinctive subtype of aggressive mammary carcinoma.

Authors:  Bing Wei; Tian Ding; Yan Xing; Wei Wei; Zhen Tian; Feng Tang; Susan Abraham; Khazi Nayeemuddin; Kelly Hunt; Yun Wu
Journal:  Cancer       Date:  2010-10-01       Impact factor: 6.860

4.  Alpelisib for PIK3CA-Mutated, Hormone Receptor-Positive Advanced Breast Cancer.

Authors:  Fabrice André; Eva Ciruelos; Gabor Rubovszky; Mario Campone; Sibylle Loibl; Hope S Rugo; Hiroji Iwata; Pierfranco Conte; Ingrid A Mayer; Bella Kaufman; Toshinari Yamashita; Yen-Shen Lu; Kenichi Inoue; Masato Takahashi; Zsuzsanna Pápai; Anne-Sophie Longin; David Mills; Celine Wilke; Samit Hirawat; Dejan Juric
Journal:  N Engl J Med       Date:  2019-05-16       Impact factor: 91.245

5.  The prognostic influence of neuroendocrine differentiation in breast cancer: results of a long-term follow-up study.

Authors:  C van Krimpen; A Elferink; C A Broodman; W C J Hop; A Pronk; M Menke
Journal:  Breast       Date:  2004-08       Impact factor: 4.380

Review 6.  Neuroendocrine Carcinoma of the Breast: Current Evidence and Future Perspectives.

Authors:  Alessandro Inno; Giuseppe Bogina; Monica Turazza; Laura Bortesi; Simona Duranti; Alberto Massocco; Giuseppe Zamboni; Giovanni Carbognin; Filippo Alongi; Matteo Salgarello; Stefania Gori
Journal:  Oncologist       Date:  2015-12-09

7.  Doublecortin-like kinase 1 expression associates with breast cancer with neuroendocrine differentiation.

Authors:  Yu-Hong Liu; Julia Y S Tsang; Yun-Bi Ni; Thazin Hlaing; Siu-Ki Chan; Kui-Fat Chan; Chun-Wai Ko; S Shafaq Mujtaba; Gary M Tse
Journal:  Oncotarget       Date:  2016-01-12

8.  Primary neuroendocrine breast carcinomas are associated with poor local control despite favourable biological profile: a retrospective clinical study.

Authors:  Nelli Roininen; Sari Takala; Kirsi-Maria Haapasaari; Arja Jukkola-Vuorinen; Johanna Mattson; Päivi Heikkilä; Peeter Karihtala
Journal:  BMC Cancer       Date:  2017-01-24       Impact factor: 4.430

9.  Expression of neuroendocrine markers in different molecular subtypes of breast carcinoma.

Authors:  David L Wachter; Arndt Hartmann; Matthias W Beckmann; Peter A Fasching; Alexander Hein; Christian M Bayer; Abbas Agaimy
Journal:  Biomed Res Int       Date:  2014-02-19       Impact factor: 3.411

10.  Invasive neuroendocrine carcinoma of the breast: a population-based study from the surveillance, epidemiology and end results (SEER) database.

Authors:  Jun Wang; Bing Wei; Constance T Albarracin; Jianhua Hu; Susan C Abraham; Yun Wu
Journal:  BMC Cancer       Date:  2014-03-04       Impact factor: 4.430

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  8 in total

Review 1.  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

Review 2.  Primary Neuroendocrine Tumor of the Breast: Current Understanding and Future Perspectives.

Authors:  Hongna Sun; Shuang Dai; Junnan Xu; Linan Liu; Jiaxing Yu; Tao Sun
Journal:  Front Oncol       Date:  2022-05-25       Impact factor: 5.738

Review 3.  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

4.  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

5.  Prognostic factors of primary neuroendocrine breast cancer: A population-based study.

Authors:  Shu-Tao Ma; Ding-Yuan Wang; Yi-Bing Liu; Hui-Jing Tan; Yue-Yue Ge; Yihebali Chi; Bai-Lin Zhang
Journal:  Cancer Med       Date:  2022-05-02       Impact factor: 4.711

Review 6.  Primary Neuroendocrine Neoplasms of the Breast: Still Open Issues.

Authors:  Marco Gallo; Severo Campione; Valentina Di Vito; Nicoletta Fortunati; Fabio Lo Calzo; Erika Messina; Rosaria Maddalena Ruggeri; Antongiulio Faggiano; Annamaria Anita Livia Colao
Journal:  Front Endocrinol (Lausanne)       Date:  2021-01-26       Impact factor: 5.555

Review 7.  Neuroendocrine Neoplasms of the Breast: The Latest WHO Classification and Review of the Literature.

Authors:  Yukinori Ozaki; Sakiko Miura; Ryosuke Oki; Teppei Morikawa; Keita Uchino
Journal:  Cancers (Basel)       Date:  2021-12-31       Impact factor: 6.639

8.  Transcriptomics and Prognosis Analysis to Identify Critical Biomarkers in Invasive Breast Carcinoma.

Authors:  Jun Wu; Xiao-Jun Liu; Jia-Nan Hu; Xu-Hui Liao; Fei-Fei Lin
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  8 in total

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