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DNA Copy Number Profiles of Primary Tumors As Predictors of Response to Chemotherapy in Advanced Colorectal Cancer

Overview
Journal Ann Oncol
Publisher Elsevier
Specialty Oncology
Date 2009 Jan 20
PMID 19150955
Citations 21
Authors
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Abstract

Background: Colorectal cancer (CRC) is biologically a heterogeneous disease, which may affect response to drug therapy. We investigated the correlation of genome-wide DNA copy number profiles of primary tumors with response to systemic chemotherapy in advanced CRC.

Patients And Methods: DNA was isolated from formaldehyde-fixed paraffin-embedded primary tumors of 32 patients with advanced CRC, which were selected based on either a good response (n = 16) or a poor response (n = 16) to first-line combination therapy with capecitabine and irinotecan. High-resolution DNA copy number profiles were obtained by means of 30 K oligonucleotide-based array comparative genomic hybridization (aCGH).

Results: Unsupervised hierarchical cluster analysis of the aCGH data revealed two clusters of 19 and 13 tumors, respectively, and cluster membership showed a significant correlation with response status (P < 0.03). The nonresponders had fewer chromosomal alterations compared with the responders, in particular less losses were found (P < 0.03). Most prominent differences between the two groups were losses of regions 18p11.32-q11.2 (P < 0.02) and 18q12.1-q23 (P < 0.03), which were more frequently observed in responders.

Conclusions: Differences in DNA copy number profiles of primary CRCs are associated with response to systemic combination chemotherapy with capecitabine and irinotecan. Responders overall had more chromosomal alterations, especially loss of chromosome 18.

Citing Articles

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Copy number and transcriptome alterations associated with metastatic lesion response to treatment in colorectal cancer.

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Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.

Yang H, Wei Q, Li D, Wang Z PLoS Comput Biol. 2020; 16(11):e1008405.

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Identification of copy number alterations in colon cancer from analysis of amplicon-based next generation sequencing data.

Oliveira D, Santamaria G, Laudanna C, Migliozzi S, Zoppoli P, Quist M Oncotarget. 2018; 9(29):20409-20425.

PMID: 29755661 PMC: 5945505. DOI: 10.18632/oncotarget.24912.