Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Identification of novel candidate target genes at 3q26.2-q29 in squamous cell carcinoma of the lung

Identification of novel candidate target genes at 3q26.2-q29 in squamous cell carcinoma of the lung

Abstract

High-resolution array-CGH was performed to identify differences in the patterns of genomic imbalances between SCC and AC of non-small cell lung cancer (NSCLC). On a genome-wide profile, SCCs showed higher frequency of gains than ACs (p = 0.067). More specifically, statistically significant differences were observed across the histologic subtypes for gains at 2q14.2, 3q26.2-q29, 12p13.2-p13.33, and 19p13.3, as well as losses at 3p26.2-p26.3, 16p13.11, and 17p11.2 in SCC, and gains at 7q22.1 and losses at 15q22.2-q25.2 occurred in AC (P < 0.05). The most striking difference between SCC and AC was gains at 3q26.2-q29, occurring in 86% (19/22) of SCCs, but in only 21% (3/14) of ACs. Overall design: Array-CGH was performed to compare the different patterns of genetic alterations. DNA from NSCLC patients (n=36) and human reference DNA (Promega) were differentially labeled and cohybridized on the array. The Fisher exact test utilized two categories, normal and abnormal (loss and gain), with the null hypothesis that the relative proportions of each of the two imbalance categories would be expected to be the same in the groups. The counts of abnormal versus normal were summarized by subtype of NSCLC for each BAC, providing 2x2 tables for analysis. A multiple testing correction (Benjamini-Hochberg false discovery rate (FDR)) was applied to correct for the high number of false positive calls.

Keywords

Transcriptomics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research