Literature DB >> 28898877

Identification of Small and Non-Small Cell Lung Cancer Markers in Peripheral Blood Using Cytokinesis-Blocked Micronucleus and Spectral Karyotyping Assays.

Randa A El-Zein1, Shereen Abdel-Rahman, Kyle J Santee, Robert Yu, Sanjay Shete.   

Abstract

Small cell lung cancer (SCLC) is a highly aggressive form of lung cancer. There is an urgent need to develop tools to identify individuals at high risk of developing SCLC. We have previously reported that the cytokinesis-blocked micronucleus (CBMN) assay is a strong predictor of non-small cell lung cancer (NSCLC). Here, we investigate the sensitivity of the CBMN endpoints as predictors of SCLC risk. We conducted the CBMN assay on SCLC patients (n = 216), NSCLC patients (n = 173), and healthy controls (n = 204). Per sample, 1,000 binucleated cells (BN) were scored, and 3 endpoints, micronuclei (BN-MN), nucleoplasmic bridges (BN-NPB), and nuclear buds(BN-BUD), were recorded. Spectral karyotyping was also conducted on SCLC patients (n = 116) and NSCLC patients (n = 137) to identify genomic regions unique to each disease. Significantly higher levels of CBMN endpoints were observed in both cancer groups compared to controls. BN-NPBs were significantly higher among SCLC patients compared to NSCLC patients (p < 0.001). Chromosomes 5 and 17 were associated with BN-MN, and chromosomes 5, 18, 20, and 22 were associated with BN-NPBs in SCLC patients. Given the high frequency of chromosome aberrations observed in SCLC, events such as reinsertion of the micronucleus and chromothripsis may be potential mechanisms for the genetic instability in these patients.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Cytokinesis-blocked micronucleus assay; Genetic instability; Non-small cell lung cancer; Small cell lung cancer

Mesh:

Substances:

Year:  2017        PMID: 28898877     DOI: 10.1159/000479809

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  4 in total

Review 1.  Improving diagnosis, prognosis and prediction by using biomarkers in CRC patients (Review).

Authors:  Taxiarchis Konstantinos Nikolouzakis; Loukia Vassilopoulou; Persefoni Fragkiadaki; Theodoros Mariolis Sapsakos; Georgios Z Papadakis; Demetrios A Spandidos; Aristides M Tsatsakis; John Tsiaoussis
Journal:  Oncol Rep       Date:  2018-03-21       Impact factor: 4.136

2.  Bioinformatics Analysis of Differential Gene and MicroRNA Expression in Lung Adenocarcinoma: Genetic Effects on Patient Prognosis, as Indicated by the TCGA Database.

Authors:  Bingqing Sun; Hongwen Zhao
Journal:  Cancer Inform       Date:  2022-03-22

3.  Taxonomic diversity of sputum microbiome in lung cancer patients and its relationship with chromosomal aberrations in blood lymphocytes.

Authors:  V G Druzhinin; L V Matskova; P S Demenkov; E D Baranova; V P Volobaev; V I Minina; S V Apalko; M A Churina; S A Romanyuk; S G Shcherbak; V I Ivanov; A V Larionov
Journal:  Sci Rep       Date:  2020-06-15       Impact factor: 4.379

4.  Evaluation of the Prognostic Value of STEAP1 in Lung Adenocarcinoma and Insights Into Its Potential Molecular Pathways via Bioinformatic Analysis.

Authors:  Qiang Guo; Xi-Xian Ke; Zhou Liu; Wei-Long Gao; Shi-Xu Fang; Cheng Chen; Yong-Xiang Song; Hao Han; Hong-Ling Lu; Gang Xu
Journal:  Front Genet       Date:  2020-03-20       Impact factor: 4.599

  4 in total

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