Literature DB >> 22764768

Signatures of tumor-immune interactions as biomarkers for breast cancer prognosis.

Masoud H Manjili1, Kayvan Najarian, Xiang-Yang Wang.   

Abstract

Breast cancer mortality is usually due to distant recurrence of cancer at an advanced stage of the disease rather than from primary cancer. Therefore, prediction of breast cancer recurrence at the time of diagnosis could lead to advances in personalized treatment of cancer patients in order to prevent risk of recurrence. Two prognostic biomarkers that are currently being used in clinical practice are a 70-gene MammaPrint signature and a 21-gene Oncotype DX panel. These assays generate relative risks of recurrence, but they do not provide a 'yes' or 'no' answer about recurrence in a given patient. These tests include genes that are involved in the cell cycle, invasion, metastasis and angiogenesis related to breast cancer. Emerging evidence suggests that a signature of genes involved in tumor-immune interactions may provide a more accurate prognostic tool. This paper reviews recent advances in the discovery of prognostic biomarkers for breast cancer patients.

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Year:  2012        PMID: 22764768      PMCID: PMC4634870          DOI: 10.2217/fon.12.57

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  57 in total

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2.  The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer.

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3.  Loss of HER2 amplification following trastuzumab-based neoadjuvant systemic therapy and survival outcomes.

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4.  Expression and possible prognostic role of MAGE-A4, NY-ESO-1, and HER-2 antigens in women with relapsing invasive ductal breast cancer: retrospective immunohistochemical study.

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Review 6.  Critical review of microarray-based prognostic tests and trials in breast cancer.

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Journal:  Curr Opin Obstet Gynecol       Date:  2008-02       Impact factor: 1.927

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Authors:  Anita K Dunbier; Helen Anderson; Zara Ghazoui; Janine Salter; Joel S Parker; Charles M Perou; Ian E Smith; Mitch Dowsett
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8.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

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Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

9.  Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.

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Journal:  BMC Med Genomics       Date:  2011-06-30       Impact factor: 3.063

10.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

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  11 in total

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2.  The expression of BTG1 is downregulated in nasopharyngeal carcinoma and possibly associated with tumour metastasis.

Authors:  G G Sun; Y D Wang; Y J Cheng; W N Hu
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3.  BTG1 underexpression is an independent prognostic marker in esophageal squamous cell carcinoma.

Authors:  G G Sun; Y D Wang; Y J Cheng; W N Hu
Journal:  Tumour Biol       Date:  2014-06-27

4.  Classifying patients for breast cancer by detection of autoantibodies against a panel of conformation-carrying antigens.

Authors:  Rick L Evans; James V Pottala; Kristi A Egland
Journal:  Cancer Prev Res (Phila)       Date:  2014-03-18

5.  BTG1 expression correlates with the pathogenesis and progression of breast carcinomas.

Authors:  S H Sheng; C M Zhao; G G Sun
Journal:  Tumour Biol       Date:  2013-11-24

Review 6.  Hyaluronan and RHAMM in wound repair and the "cancerization" of stromal tissues.

Authors:  Cornelia Tolg; James B McCarthy; Arjang Yazdani; Eva A Turley
Journal:  Biomed Res Int       Date:  2014-08-04       Impact factor: 3.411

7.  Intra- and interspecies gene expression models for predicting drug response in canine osteosarcoma.

Authors:  Jared S Fowles; Kristen C Brown; Ann M Hess; Dawn L Duval; Daniel L Gustafson
Journal:  BMC Bioinformatics       Date:  2016-02-19       Impact factor: 3.169

8.  Prognostic genes of breast cancer revealed by gene co-expression network analysis.

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Journal:  Oncol Lett       Date:  2017-08-21       Impact factor: 2.967

9.  Prognostic role of elevated mir-24-3p in breast cancer and its association with the metastatic process.

Authors:  Alireza Khodadadi-Jamayran; Betul Akgol-Oksuz; Yelena Afanasyeva; Adriana Heguy; Marae Thompson; Karina Ray; Ariadna Giro-Perafita; Irma Sánchez; Xifeng Wu; Debu Tripathy; Anne Zeleniuch-Jacquotte; Aristotelis Tsirigos; Francisco J Esteva
Journal:  Oncotarget       Date:  2018-02-05

10.  Uncovering the roles of microRNAs/lncRNAs in characterising breast cancer subtypes and prognosis.

Authors:  Xiaomei Li; Buu Truong; Taosheng Xu; Lin Liu; Jiuyong Li; Thuc D Le
Journal:  BMC Bioinformatics       Date:  2021-06-04       Impact factor: 3.169

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