Literature DB >> 31048497

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

Rachel L Stewart1, Katherine L Updike2, Rachel E Factor3, N Lynn Henry4, Kenneth M Boucher5, Philip S Bernard3, Katherine E Varley6.   

Abstract

Approximately 40% of patients with stage I-III triple-negative breast cancer (TNBC) recur after standard treatment, whereas the remaining 60% experience long-term disease-free survival (DFS). There are currently no clinical tests to assess the risk of recurrence in TNBC patients. We previously determined that TNBC patients with MHC class II (MHCII) pathway expression in their tumors experienced significantly longer DFS. To translate this discovery into a clinical test, we developed an MHCII Immune Activation assay, which measures expression of 36 genes using NanoString technology. Preanalytical testing confirmed that the assay is accurate and reproducible in formalin-fixed paraffin-embedded (FFPE) tumor specimens. The assay measurements were concordant with RNA-seq, MHCII protein expression, and tumor-infiltrating lymphocyte counts. In a training set of 44 primary TNBC tumors, the MHCII Immune Activation Score was significantly associated with longer DFS (HR = 0.17; P = 0.015). In an independent validation cohort of 56 primary FFPE TNBC tumors, the Immune Activation Score was significantly associated with longer DFS (HR = 0.19; P = 0.011) independent of clinical stage. An Immune Activation Score threshold for identifying patients with very low risk of relapse in the training set provided 100% specificity in the validation cohort. The assay format enables adoption as a standardized clinical prognostic test for identifying TNBC patients with a low risk of recurrence. Correlative data support future studies to determine if the assay can identify patients in whom chemotherapy can be safely deescalated and patients likely to respond to immunotherapy. SIGNIFICANCE: The MHCII Immune Activation assay identifies TNBC patients with a low risk of recurrence, addressing a critical need for prognostic biomarker tests that enable precision medicine for TNBC patients. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31048497      PMCID: PMC6629024          DOI: 10.1158/0008-5472.CAN-18-3014

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  64 in total

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3.  Gene expression profiling predicts clinical outcome of breast cancer.

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4.  Tumor rejection by gene transfer of the MHC class II transactivator in murine mammary adenocarcinoma cells.

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Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

7.  Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay.

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10.  Statistical modeling for selecting housekeeper genes.

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  11 in total

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2.  Circulating miR-16-5p, miR-92a-3p, and miR-451a in Plasma from Lung Cancer Patients: Potential Application in Early Detection and a Regulatory Role in Tumorigenesis Pathways.

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3.  Enhancer RNA Transcription Is Essential for a Novel CSF1 Enhancer in Triple-Negative Breast Cancer.

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5.  Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes.

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Review 6.  Breast Cancer Patients: Who Would Benefit from Neoadjuvant Chemotherapies?

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7.  Development and validation of prognostic gene signature for basal-like breast cancer and high-grade serous ovarian cancer.

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

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Review 9.  Immunostimulatory Properties of Chemotherapy in Breast Cancer: From Immunogenic Modulation Mechanisms to Clinical Practice.

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10.  Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

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