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Molecular Classification of Lymph Node Metastases Subtypes Predict for Survival in Head and Neck Cancer.
Huang, Lei; David, Odile; Cabay, Robert J; Valyi-Nagy, Klara; Macias, Virgilia; Zhong, Rong; Wenig, Barry; Feldman, Lawrence; Weichselbaum, Ralph; Spiotto, Michael T.
Afiliación
  • Huang L; Center for Research Informatics, University of Chicago, Chicago, Illinois.
  • David O; Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Cabay RJ; Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Valyi-Nagy K; Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Macias V; Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Zhong R; Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois.
  • Wenig B; Department of Otolaryngology-Head and Neck Surgery, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Feldman L; Department of Medicine, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
  • Weichselbaum R; Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, Illinois.
  • Spiotto MT; Department of Radiation Oncology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Clin Cancer Res ; 25(6): 1795-1808, 2019 03 15.
Article en En | MEDLINE | ID: mdl-30573692
PURPOSE: In advanced stage head and neck squamous cell cancers (HNSCC), approximately half of the patients with lymph node metastases (LNM) are not cured. Given the heterogeneous outcomes in these patients, we profiled the expression patterns of LNMs to identify the biological factors associated with patient outcomes.Experimental Design: We performed mRNAseq and miRNAseq on 72 LNMs and 29 matched primary tumors from 34 patients with HNSCC. Clustering identified molecular subtypes in LNMs and in primary tumors. Prediction Analysis of Microarrays algorithm identified a 73-gene classifier that distinguished LNM subtypes. Gene-set enrichment analysis identified pathways upregulated in LNM subtypes. RESULTS: Integrative clustering identified three distinct LNM subtypes: (i) an immune subtype (Group 1), (ii) an invasive subtype (Group 2), and (iii) a metabolic/proliferative subtype (Group 3). Group 2 subtype was associated with significantly worse locoregional control and survival. LNM-specific subtypes were not observed in matched primary tumor specimens. In HNSCCs, breast cancers, and melanomas, a 73-gene classifier identified similar Group 2 LNM subtypes that were associated with worse disease control and survival only when applied to lymph node sites, but not when applied to other primary tumors or metastatic sites. Similarly, previously proposed prognostic classifiers better distinguished patients with worse outcomes when applied to the transcriptional profiles of LNMs, but not the profiles of primary tumors. CONCLUSIONS: The transcriptional profiles of LNMs better predict outcomes than transcriptional profiles of primary tumors. The LNMs display site-specific subtypes associated with worse disease control and survival across multiple cancer types.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Carcinoma de Células Escamosas de Cabeza y Cuello / Neoplasias de Cabeza y Cuello / Metástasis Linfática / Recurrencia Local de Neoplasia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Carcinoma de Células Escamosas de Cabeza y Cuello / Neoplasias de Cabeza y Cuello / Metástasis Linfática / Recurrencia Local de Neoplasia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Cancer Res Asunto de la revista: NEOPLASIAS Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos