Literature DB >> 26418235

Prognostic and predictive immune gene signatures in breast cancer.

Davide Bedognetti1, Wouter Hendrickx, Francesco M Marincola, Lance D Miller.   

Abstract

PURPOSE OF REVIEW: Here, we focus on molecular biomarkers derived from transcriptomic studies to summarize the recent advances in our understanding of the mechanisms associated with differential prognosis and treatment outcome in breast cancer. RECENT
FINDINGS: Breast cancer is certainly immunogenic; yet it has been historically resistant to immunotherapy. In the past few years, refined immunotherapeutic manipulations have been shown to be effective in a significant proportion of cancer patients. For example, drugs targeting the PD-1 immune checkpoint have been proven to be an effective therapeutic approach in several solid tumors including melanoma and lung cancer. Very recently, the activity of such therapeutics has also been demonstrated in breast cancer patients. Pari passu with the development of novel immune modulators, the transcriptomic analysis of human tumors unveiled unexpected and paradoxical relationships between cancer cells and immune cells.
SUMMARY: This review examines our understanding of the molecular pathways associated with intratumoral immune response, which represents a critical step for the implementation of stratification strategies toward the development of personalized immunotherapy of breast cancer.

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Year:  2015        PMID: 26418235     DOI: 10.1097/CCO.0000000000000234

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  40 in total

1.  Schlafen-11 expression is associated with immune signatures and basal-like phenotype in breast cancer.

Authors:  Edoardo Isnaldi; Domenico Ferraioli; Lorenzo Ferrando; Alberto Ballestrero; Gabriele Zoppoli; Sylvain Brohée; Fabio Ferrando; Piero Fregatti; Davide Bedognetti
Journal:  Breast Cancer Res Treat       Date:  2019-06-20       Impact factor: 4.872

Review 2.  Metabolism and immunity in breast cancer.

Authors:  Deyu Zhang; Xiaojie Xu; Qinong Ye
Journal:  Front Med       Date:  2020-10-19       Impact factor: 4.592

Review 3.  Checkpoint Inhibitors and Their Application in Breast Cancer.

Authors:  Davide Bedognetti; Cristina Maccalli; Salha B J Al Bader; Francesco M Marincola; Barbara Seliger
Journal:  Breast Care (Basel)       Date:  2016-04-26       Impact factor: 2.860

4.  A transcriptomic signature for prostate cancer relapse prediction identified from the differentially expressed genes between TP53 mutant and wild-type tumors.

Authors:  Wensheng Zhang; Kun Zhang
Journal:  Sci Rep       Date:  2022-06-22       Impact factor: 4.996

Review 5.  The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy.

Authors:  Daniela Bruni; Helen K Angell; Jérôme Galon
Journal:  Nat Rev Cancer       Date:  2020-08-04       Impact factor: 60.716

6.  Conservation of immune gene signatures in solid tumors and prognostic implications.

Authors:  Julia Chifman; Ashok Pullikuth; Jeff W Chou; Davide Bedognetti; Lance D Miller
Journal:  BMC Cancer       Date:  2016-11-22       Impact factor: 4.430

7.  Immune signature of metastatic breast cancer: Identifying predictive markers of immunotherapy response.

Authors:  Ji-Yeon Kim; Eunjin Lee; Kyunghee Park; Woong-Yang Park; Hae Hyun Jung; Jin Seok Ahn; Young-Hyuck Im; Yeon Hee Park
Journal:  Oncotarget       Date:  2017-07-18

8.  Interferon-γ and Tumor Necrosis Factor-α Polarize Bone Marrow Stromal Cells Uniformly to a Th1 Phenotype.

Authors:  Ping Jin; Yuanlong Zhao; Hui Liu; Jinguo Chen; Jiaqiang Ren; Jianjian Jin; Davide Bedognetti; Shutong Liu; Ena Wang; Francesco Marincola; David Stroncek
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

9.  Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups.

Authors:  Dvir Netanely; Ayelet Avraham; Adit Ben-Baruch; Ella Evron; Ron Shamir
Journal:  Breast Cancer Res       Date:  2016-07-07       Impact factor: 6.466

10.  Pharmacogenetics driving personalized medicine: analysis of genetic polymorphisms related to breast cancer medications in Italian isolated populations.

Authors:  Massimiliano Cocca; Davide Bedognetti; Martina La Bianca; Paolo Gasparini; Giorgia Girotto
Journal:  J Transl Med       Date:  2016-01-22       Impact factor: 5.531

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