Review
. 2006 Nov 1;24(31):5079-90. doi: 10.1200/JCO.2005.05.1748. Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohortsAffiliations
AffiliationItem in Clipboard
Review
Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohortsD Neil Hayes et al. J Clin Oncol. 2006.
. 2006 Nov 1;24(31):5079-90. doi: 10.1200/JCO.2005.05.1748. AffiliationItem in Clipboard
AbstractPurpose: Published reports suggest that DNA microarrays identify clinically meaningful subtypes of lung adenocarcinomas not recognizable by other routine tests. This report is an investigation of the reproducibility of the reported tumor subtypes.
Methods: Three independent cohorts of patients with lung cancer were evaluated using a variety of DNA microarray assays. Using the integrative correlations method, a subset of genes was selected, the reliability of which was acceptable across the different DNA microarray platforms. Tumor subtypes were selected using consensus clustering and genes distinguishing subtypes were identified using the weighted difference statistic. Gene lists were compared across cohorts using centroids and gene set enrichment analysis.
Results: Cohorts of 31, 72, and 128 adenocarcinomas were generated for a total of 231 microarrays, each with 2,553 reliable genes. Three adenocarcinoma subtypes were identified in each cohort. These were named bronchioid, squamoid, and magnoid according to their respective correlations with gene expression patterns from histologically defined bronchioalveolar carcinoma, squamous cell carcinoma, and large-cell carcinoma. Tumor subtypes were distinguishable by many hundreds of genes, and lists generated in one cohort were predictive of tumor subtypes in the two other cohorts. Tumor subtypes correlated with clinically relevant covariates, including stage-specific survival and metastatic pattern. Most notably, bronchioid tumors were correlated with improved survival in early-stage disease, whereas squamoid tumors were associated with better survival in advanced disease.
Conclusion: DNA microarray analysis of lung adenocarcinomas identified reproducible tumor subtypes which differ significantly in clinically important behaviors such as stage-specific survival.
Similar articlesGordon GJ, Richards WG, Sugarbaker DJ, Jaklitsch MT, Bueno R. Gordon GJ, et al. Cancer Epidemiol Biomarkers Prev. 2003 Sep;12(9):905-10. Cancer Epidemiol Biomarkers Prev. 2003. PMID: 14504202
Broët P, Camilleri-Broët S, Zhang S, Alifano M, Bangarusamy D, Battistella M, Wu Y, Tuefferd M, Régnard JF, Lim E, Tan P, Miller LD. Broët P, et al. Cancer Res. 2009 Feb 1;69(3):1055-62. doi: 10.1158/0008-5472.CAN-08-1116. Epub 2009 Jan 27. Cancer Res. 2009. PMID: 19176396
Lusa L, McShane LM, Reid JF, De Cecco L, Ambrogi F, Biganzoli E, Gariboldi M, Pierotti MA. Lusa L, et al. J Natl Cancer Inst. 2007 Nov 21;99(22):1715-23. doi: 10.1093/jnci/djm216. Epub 2007 Nov 13. J Natl Cancer Inst. 2007. PMID: 18000217
Warnat P, Oberthuer A, Fischer M, Westermann F, Eils R, Brors B. Warnat P, et al. BMC Cancer. 2007 May 25;7:89. doi: 10.1186/1471-2407-7-89. BMC Cancer. 2007. PMID: 17531100 Free PMC article. Review.
Bucca G, Carruba G, Saetta A, Muti P, Castagnetta L, Smith CP. Bucca G, et al. Ann N Y Acad Sci. 2004 Dec;1028:28-37. doi: 10.1196/annals.1322.003. Ann N Y Acad Sci. 2004. PMID: 15650229 Review.
Mirhadi S, Zhang W, Pham NA, Karimzadeh F, Pintilie M, Tong J, Taylor P, Krieger J, Pitcher B, Sykes J, Wybenga-Groot L, Fladd C, Xu J, Wang T, Cabanero M, Li M, Weiss J, Sakashita S, Zaslaver O, Yu M, Caudy AA, St-Pierre J, Hawkins C, Kislinger T, Liu G, Shepherd FA, Tsao MS, Moran MF. Mirhadi S, et al. Mol Cancer Res. 2023 Jan 3;21(1):36-50. doi: 10.1158/1541-7786.MCR-22-0163. Mol Cancer Res. 2023. PMID: 36214668 Free PMC article.
Yuan C, Chen H, Tu S, Huang HY, Pan Y, Gui X, Kuang M, Shen X, Zheng Q, Zhang Y, Cheng C, Hong H, Tao X, Peng Y, Yao X, Meng F, Ji H, Shao Z, Sun Y. Yuan C, et al. Genome Biol. 2021 May 17;22(1):156. doi: 10.1186/s13059-021-02376-1. Genome Biol. 2021. PMID: 34001209 Free PMC article.
Chen Y, Zou X, Ma M, Liu Y, Wang R, Dai Z, Tashiheng Y, Yan Y, Yu X, Wang X, Liu C, Lin X, Cheng H. Chen Y, et al. Curr Oncol. 2023 Jan 29;30(2):1648-1662. doi: 10.3390/curroncol30020126. Curr Oncol. 2023. PMID: 36826087 Free PMC article.
Andreev VP, Helmuth ME, Liu G, Smith AR, Merion RM, Yang CC, Cameron AP, Jelovsek JE, Amundsen CL, Helfand BT, Bradley CS, DeLancey JOL, Griffith JW, Glaser AP, Gillespie BW, Clemens JQ, Lai HH; LURN Study Group. Andreev VP, et al. PLoS One. 2022 Jun 10;17(6):e0268547. doi: 10.1371/journal.pone.0268547. eCollection 2022. PLoS One. 2022. PMID: 35687541 Free PMC article.
Ischenko I, Liu J, Petrenko O, Hayman MJ. Ischenko I, et al. Cell Death Differ. 2014 Aug;21(8):1218-28. doi: 10.1038/cdd.2014.38. Epub 2014 Mar 28. Cell Death Differ. 2014. PMID: 24682004 Free PMC article.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.3