Literature DB >> 14654897

Intratumoral genomic heterogeneity in primary head and neck cancer and corresponding metastases detected by dual-FISH.

Karl Götte1, Carsten Schäfer, Frank Riedel, Norbert Arens, Karl Hörmann.   

Abstract

Intratumoral genomic heterogeneity, which can be defined as both intersample and intrasample heterogeneity, is still a poorly understood phenomenon in head and neck squamous cell carcinoma (HNSCC) with presumed implications on tumor behavior and even prognosis. We analyzed 89 tumor specimen from 37 HNSCC patients by fluorescence in situ hybridization (dual-FISH) using specific DNA probes binding to centromeric sites of 6 chromosomes to investigate intratumoral heterogeneity. A derivation from disomy in at least 1/6 chromosomes was detected in 88/89 (99%) specimen. In 33% of these samples, a change in ploidy could be suspected. Intrasample heterogeneity was detected in 68/89 (76%). Intrasample heterogeneity was more pronounced in primary tumors than in metastatic tumors. Analysis of the intersample heterogeneity revealed notable differences between the 6 chromosomes with the highest discordance detected for chromosome 3 (46%) and the lowest for chromosome 11 (27%). Following our results, it seems important to us to underline that intratumoral heterogeneity exists as intra- and sample heterogeneity in HNSCC. Altogether, trisomic cells were significantly more frequent in primary tumors than in metastases (p=0.01) while, in turn, monosomic cells were significantly more frequent in metastases (p=0.029). In individual cases the extent of discordance between corresponding samples made a common clonal precursor unlikely. In these cases, the synchronous development of a primary tumor and a carcinoma of unknown primary ('CUP syndrome'), otherwise undetected, should be considered.

Entities:  

Mesh:

Year:  2004        PMID: 14654897

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  4 in total

Review 1.  Molecular Aspects of Head and Neck Cancer Therapy.

Authors:  Sidharth V Puram; James W Rocco
Journal:  Hematol Oncol Clin North Am       Date:  2015-10-17       Impact factor: 3.722

2.  The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies.

Authors:  Noriyuki Fujima; Akihiro Homma; Taisuke Harada; Yukie Shimizu; Khin Khin Tha; Satoshi Kano; Takatsugu Mizumachi; Ruijiang Li; Kohsuke Kudo; Hiroki Shirato
Journal:  Cancer Imaging       Date:  2019-02-04       Impact factor: 3.909

3.  The utility of diffusion-weighted T2 mapping for the prediction of histological tumor grade in patients with head and neck squamous cell carcinoma.

Authors:  Noriyuki Fujima; Yukie Shimizu; Masami Yoneyama; Junichi Nakagawa; Hiroyuki Kameda; Taisuke Harada; Seijiro Hamada; Takayoshi Suzuki; Nayuta Tsushima; Satoshi Kano; Akihiro Homma; Kohsuke Kudo
Journal:  Quant Imaging Med Surg       Date:  2022-08

Review 4.  Zebrafish as a model to assess cancer heterogeneity, progression and relapse.

Authors:  Jessica S Blackburn; David M Langenau
Journal:  Dis Model Mech       Date:  2014-07       Impact factor: 5.758

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.