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
Citations
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Decoding global gene expression programs in liver cancer by noninvasive imaging
Eran Segal,Claude B. Sirlin,Clara G.C. Ooi,Adam S. Adler,Jeremy Gollub,Xin Chen,Bryan K Chan,George R. Matcuk,Christopher T Barry,Howard Y. Chang,Michael D. Kuo +10 more
TL;DR: It is shown that dynamic imaging traits in non-invasive computed tomography systematically correlate with the global gene expression programs of primary human liver cancer, enabling noninvasive, serial and frequent molecular profiling for personalized medicine.
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Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
Roel G.W. Verhaak,Pablo Tamayo,Ji Yeon Yang,Diana D. Hubbard,Hailei Zhang,Chad J. Creighton,Sian Fereday,Michael S. Lawrence,Scott L. Carter,Craig H. Mermel,Aleksandar Kostic,Dariush Etemadmoghadam,Gordon Saksena,Kristian Cibulskis,Sekhar Duraisamy,Keren Levanon,Keren Levanon,Carrie Sougnez,Aviad Tsherniak,Sebastian Gomez,Robert C. Onofrio,Stacey Gabriel,Lynda Chin,Nianxiang Zhang,Paul T. Spellman,Yiqun Zhang,Rehan Akbani,Katherine A. Hoadley,Ari B. Kahn,Martin Köbel,David G. Huntsman,Robert A. Soslow,Anna deFazio,Michael J. Birrer,Joe W. Gray,John N. Weinstein,David D.L. Bowtell,Ronny Drapkin,Jill P. Mesirov,Gad Getz,Douglas A. Levine,Matthew Meyerson +41 more
TL;DR: The spectrum of outcomes observed here and their association with CLOVAR signatures suggests variations in underlying tumor biology, which may provide a rationale for optimal combination of patient and treatment regimens.
Journal ArticleDOI
Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer
Anna Bergamaschi,Young Ho Kim,Pei Wang,Pei Wang,Therese Sørlie,Tina Hernandez-Boussard,Per Eystein Lønning,Robert Tibshirani,Anne Lise Børresen-Dale,Jonathan R. Pollack +9 more
TL;DR: A genome‐wide array‐based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival.
Journal ArticleDOI
Breast Cancer Subtypes and Response to Docetaxel in Node-Positive Breast Cancer: Use of an Immunohistochemical Definition in the BCIRG 001 Trial
Judith Hugh,John Hanson,Maggie C.U. Cheang,Torsten O. Nielsen,Charles M. Perou,Charles Dumontet,John C. Reed,Maryla Krajewska,Isabelle Treilleux,Matthieu Rupin,Emmanuelle Magherini,John R. Mackey,Miguel Martin,Charles L. Vogel +13 more
TL;DR: A simple immunopanel can divide breast cancers into biologic subtypes with strong prognostic effects and, in the absence of targeted therapy, is effective in the triple-negative population.
Journal ArticleDOI
Tumour markers in colorectal cancer: European Group on Tumour Markers (EGTM) guidelines for clinical use.
Michael J. Duffy,A. van Dalen,Caj Haglund,L. Hansson,E. Holinski-Feder,R. Klapdor,Rolf Lamerz,P. Peltomaki,Catharine M. Sturgeon,O. Topolcan +9 more
TL;DR: New guidelines for the use of serum, tissue and faecal markers in colorectal cancer (CRC) are presented and insufficient evidence exists to recommend routine use of tissue factors such as thymidylate synthase, microsatellite instability, p53, K-ras and deleted in colon cancer (DCC).
References
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Journal ArticleDOI
Molecular portraits of human breast tumours
Charles M. Perou,Therese Sørlie,Michael B. Eisen,Matt van de Rijn,Stefanie S. Jeffrey,Christian A. Rees,Jonathan R. Pollack,Douglas T. Ross,Hilde Johnsen,Lars A. Akslen,Øystein Fluge,Alexander Pergamenschikov,Cheryl A. Williams,Shirley Zhu,Per Eystein Lønning,Anne Lise Børresen-Dale,Patrick O. Brown,David Botstein +17 more
TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Journal ArticleDOI
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.
Todd R. Golub,Todd R. Golub,Donna K. Slonim,Pablo Tamayo,Christine Huard,Michelle Gaasenbeek,Jill P. Mesirov,Hilary A. Coller,Mignon L. Loh,James R. Downing,Michael A. Caligiuri,Clara D. Bloomfield,Eric S. Lander +12 more
TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
Journal ArticleDOI
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Therese Sørlie,Charles M. Perou,Robert Tibshirani,Turid Aas,Stephanie Geisler,Hilde Johnsen,Trevor Hastie,Michael B. Eisen,Matt van de Rijn,Stefanie S. Jeffrey,T. Thorsen,Hanne Quist,John C. Matese,Patrick O. Brown,David Botstein,Per Eystein Lønning,Anne Lise Børresen-Dale +16 more
TL;DR: Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Journal ArticleDOI
Quantitative monitoring of gene expression patterns with a complementary DNA microarray.
TL;DR: A high-capacity system was developed to monitor the expression of many genes in parallel by means of simultaneous, two-color fluorescence hybridization, which enabled detection of rare transcripts in probe mixtures derived from 2 micrograms of total cellular messenger RNA.
Journal ArticleDOI
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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