Literature DB >> 29168430

Triple negative breast cancer - prognostic role of immune-related factors: a systematic review.

Elisabeth Specht Stovgaard1, Dorte Nielsen2, Estrid Hogdall3, Eva Balslev1.   

Abstract

PURPOSE: Treatment of breast cancer has been increasingly successful in recent years with the advent of HER2-receptor targeted treatment and endocrine treatment. However, the triple negative subgroup of breast cancer (TNBC) (estrogen-, progesterone- and HER2-receptor negative) still lacks targeted treatment options. TNBC is a type of breast cancer that often affects younger women, and generally has a worse prognosis than other types of breast cancer. Recently, the complex role of the immune system in cancer growth, elimination and metastasis has been the object of increased attention. There is hope that a more detailed understanding of the intricate roles of the constituents of the immune system, will hold potential both as prognostic or predictive markers of cancer progression, but also as treatment targets for a wide range of tumors, including TNBC. The aim of this review is to provide an overview of the cellular immune microenvironment in TNBC, and to highlight areas in which TNBC may differ from other types of breast cancer.
MATERIAL AND METHODS: A search of PubMed was made using the terms 'triple negative breast cancer' and 'tumor infiltrating lymphocytes', 'CD8', 'CD4', 'B cells', 'natural killer cells', 'macrophages', myeloid derived suppressor cells', 'dendritic cells', 'immune check point inhibitor', 'CTLA-4' and 'PD-L1'.
RESULTS: We find that whilst factors such as TILs and certain subgroups of TILs (e.g., CD8 + and regulator T-cells) have been extensively researched, none of these markers are currently applicable to routine clinical practice. Also, TNBC differs from other types of breast cancer with regards to cellular composition of the immune infiltrate and PD-L1 expression, and the prognostic significance of these.
CONCLUSIONS: Immune-related factors have the potential as both prognostic and predictive biomarkers for new treatments targeting the immune system in breast cancer. However, multivariate analyses, taking other well-known factors into account, are required to determine the true value of these biomarkers. Also, differences between TNBC and other types of breast cancer may have implications for treatment and use of immune-related factors as biomarkers.

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Year:  2017        PMID: 29168430     DOI: 10.1080/0284186X.2017.1400180

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  33 in total

1.  A Multigene Assay Determines Risk of Recurrence in Patients with Triple-Negative Breast Cancer.

Authors:  Rachel L Stewart; Katherine L Updike; Rachel E Factor; N Lynn Henry; Kenneth M Boucher; Philip S Bernard; Katherine E Varley
Journal:  Cancer Res       Date:  2019-05-02       Impact factor: 12.701

2.  Higher CD1a Levels Correlate with PD-L1 Expression and Predict Worse Overall Survival in Triple-Negative Breast Carcinoma.

Authors:  Jian Zheng; Yuntao Wei; Xiaoxi Li; Zhan Shen; Yong Zhang; Bo Huang; Youhong Jiang; Daqing Wang
Journal:  Breast Care (Basel)       Date:  2021-03-15       Impact factor: 2.860

3.  The clinical relevance of unfolded protein response signaling in breast cancer.

Authors:  Masanori Oshi; Arya Mariam Roy; Shipra Gandhi; Yoshihisa Tokumaru; Li Yan; Akimitsu Yamada; Itaru Endo; Kazuaki Takabe
Journal:  Am J Cancer Res       Date:  2022-06-15       Impact factor: 5.942

Review 4.  Atezolizumab (in Combination with Nab-Paclitaxel): A Review in Advanced Triple-Negative Breast Cancer.

Authors:  Connie Kang; Yahiya Y Syed
Journal:  Drugs       Date:  2020-04       Impact factor: 9.546

Review 5.  Investigational chemotherapy and novel pharmacokinetic mechanisms for the treatment of breast cancer brain metastases.

Authors:  Neal Shah; Afroz S Mohammad; Pushkar Saralkar; Samuel A Sprowls; Schuyler D Vickers; Devin John; Rachel M Tallman; Brandon P Lucke-Wold; Katherine E Jarrell; Mark Pinti; Richard L Nolan; Paul R Lockman
Journal:  Pharmacol Res       Date:  2018-03-28       Impact factor: 7.658

6.  CTLA-4 Expression and Its Clinical Significance in Breast Cancer.

Authors:  Rodrigo Kern; Carolina Panis
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2021-06-20       Impact factor: 4.291

7.  Prognostic Models for Nonmetastatic Triple-Negative Breast Cancer Based on the Pretreatment Serum Tumor Markers with Machine Learning.

Authors:  Huihui Chen; Shijie Wu; Jun Hu; Kun Zhang; Kaimin Hu; Yuexin Lu; Jiapan He; Tao Pan; Yiding Chen
Journal:  J Oncol       Date:  2021-05-15       Impact factor: 4.375

8.  Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer.

Authors:  Aalok Patwa; Rikiya Yamashita; Jin Long; Tyler Risom; Michael Angelo; Leeat Keren; Daniel L Rubin
Journal:  Commun Biol       Date:  2021-07-09

Review 9.  Immune-related biomarkers in triple-negative breast cancer.

Authors:  Juan Zhang; Qi Tian; Mi Zhang; Hui Wang; Lei Wu; Jin Yang
Journal:  Breast Cancer       Date:  2021-04-09       Impact factor: 4.239

10.  MEGF11 is related to tumour recurrence in triple negative breast cancer via chemokine upregulation.

Authors:  Jen-Hwey Chiu; Ling-Ming Tseng; Tzu-Ting Huang; Chun-Yu Liu; Jir-You Wang; Ching-Po Huang; Yi-Fang Tsai; Chih-Yi Hsu
Journal:  Sci Rep       Date:  2020-05-15       Impact factor: 4.379

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