Journal ArticleDOI
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Soonmyung Paik,Steven Shak,Gong Tang,Chungyeul Kim,Joffre B. Baker,Maureen T. Cronin,Frederick L. Baehner,Michael G. Walker,Drew Watson,Taesung Park,William Hiller,Edwin R. Fisher,D. Lawrence Wickerham,John Bryant,Norman Wolmark +14 more
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TLDR
The recurrence score has been validated as quantifying the likelihood of distant recurrence in tamoxifen-treated patients with node-negative, estrogen-receptor-positive breast cancer and could be used as a continuous function to predict distant recurrent in individual patients.Abstract:
background The likelihood of distant recurrence in patients with breast cancer who have no involved lymph nodes and estrogen-receptor–positive tumors is poorly defined by clinical and histopathological measures. methods We tested whether the results of a reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assay of 21 prospectively selected genes in paraffin-embedded tumor tissue would correlate with the likelihood of distant recurrence in patients with node-negative, tamoxifen-treated breast cancer who were enrolled in the National Surgical Adjuvant Breast and Bowel Project clinical trial B-14. The levels of expression of 16 cancerrelated genes and 5 reference genes were used in a prospectively defined algorithm to calculate a recurrence score and to determine a risk group (low, intermediate, or high) for each patient. results Adequate RT-PCR profiles were obtained in 668 of 675 tumor blocks. The proportions of patients categorized as having a low, intermediate, or high risk by the RT-PCR assay were 51, 22, and 27 percent, respectively. The Kaplan–Meier estimates of the rates of distant recurrence at 10 years in the low-risk, intermediate-risk, and high-risk groups were 6.8 percent (95 percent confidence interval, 4.0 to 9.6), 14.3 percent (95 percent confidence interval, 8.3 to 20.3), and 30.5 percent (95 percent confidence interval, 23.6 to 37.4). The rate in the low-risk group was significantly lower than that in the high-risk group (P<0.001). In a multivariate Cox model, the recurrence score provided significant predictive power that was independent of age and tumor size (P<0.001). The recurrence score was also predictive of overall survival (P<0.001) and could be used as a continuous function to predict distant recurrence in individual patients. conclusions The recurrence score has been validated as quantifying the likelihood of distant recurrence in tamoxifen-treated patients with node-negative, estrogen-receptor–positive breast cancer.read more
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A novel panel of biomarkers predicts radioresistance in patients with squamous cell carcinoma of the head and neck.
Jan Åkervall,Sirisha R. Nandalur,Jacob Zhang,Chao Nan Qian,Neal S. Goldstein,Paulina Gyllerup,Ylva Gårdinger,Jens Alm,Katarina Lorenc,Karolina Nilsson,James H. Resau,George S. Wilson,Bin Teh +12 more
TL;DR: All five biomarkers were predictive of poor response to radiation based therapy and in particular, YAP-1 and c-MET have synergistic power and could be used to make treatment decisions.
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The Role of Proteomics in Clinical Cardiovascular Biomarker Discovery
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The impact of the 21-gene recurrence score assay on decision making about adjuvant chemotherapy in early-stage estrogen-receptor-positive breast cancer in an oncology practice with a unified treatment policy
David B. Geffen,Sara Abu-Ghanem,Netta Sion-Vardy,R. Braunstein,Margarita Tokar,Samuel Ariad,Bertha Delgado,M. Bayme,Michael Koretz +8 more
TL;DR: The 21-gene assay, when applied in a consistent manner in early-stage BC, changes treatment recommendations in one-quarter of patients tested, and correlated poorly with AO predictions.
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Concurrent Gene Signatures for Han Chinese Breast Cancers
Chi-Cheng Huang,Shih Hsin Tu,Heng Hui Lien,Jaan Yeh Jeng,Ching Shui Huang,Chi Jung Huang,Liang-Chuan Lai,Eric Y. Chuang +7 more
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The EndoPredict Gene-Expression Assay in Clinical Practice - Performance and Impact on Clinical Decisions
Berit Maria Müller,Elke Keil,Annika Lehmann,Klaus Jürgen Winzer,Christiane Richter-Ehrenstein,Judith Prinzler,Nikola Bangemann,Angela Reles,Sylvia Stadie,Winfried Schoenegg,Jan Eucker,Marcus Schmidt,Frank Lippek,Korinna Jöhrens,Stefan Pahl,Bruno Valentin Sinn,Jan Budczies,Manfred Dietel,Carsten Denkert +18 more
TL;DR: The results show that the EndoPredict assay could be routinely performed in decentral molecular pathology laboratories and the results markedly change treatment decisions.
References
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Gene expression profiling predicts clinical outcome of breast cancer
Laura J. van't Veer,Hongyue Dai,Marc J. van de Vijver,Yudong D. He,Augustinus A. M. Hart,Mao Mao,Hans Peterse,Karin van der Kooy,Matthew J. Marton,Anke T. Witteveen,George J. Schreiber,Ron M. Kerkhoven,Christopher J. Roberts,Peter S. Linsley,René Bernards,Stephen H. Friend +15 more
TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.
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