Genome-wide profiling of papillary thyroid cancer identifies MUC1 as an independent prognostic marker Journal Article


Authors: Wreesmann, V. B.; Sieczka, E. M.; Socci, N. D.; Hezel, M.; Belbin, T. J.; Childs, G.; Patel, S. G.; Patel, K. N.; Tallini, G.; Prystowsky, M.; Shaha, A. R.; Kraus, D.; Shah, J. P.; Rao, P. H.; Ghossein, R.; Singh, B.
Article Title: Genome-wide profiling of papillary thyroid cancer identifies MUC1 as an independent prognostic marker
Abstract: Clinicopathological variables used at present for prognostication and treatment selection for papillary thyroid carcinomas (PTCs) do not uniformly predict tumor behavior, necessitating identification of novel prognostic markers. Complicating the assessment is the long natural history of PTC and our rudimentary knowledge of its genetic composition. In this study we took advantage of differences in clinical behavior of two distinct variants of PTC, the aggressive tall-cell variant (TCV) and indolent conventional PTC (cPTC), to identify molecular prognosticators of outcome using complementary genome wide analyses. Comparative genome hybridization (CGH) and cDNA microarray (17,840 genes) analyses were used to detect changes in DNA copy number and gene expression in pathological CPTC and TCV. The findings from CGH and cDNA microarray analyses were correlated and validated by real-time PCR and immunohistochemical analyses on a series of 100 cases of cPTC and TCV. Genes identified by this approach were evaluated as prognostic markers in cPTC by immunohistochemistry on tissue arrays. CGH identified significant differences in the presence (76 versus 27%; P = 0.001) and type of DNA copy number aberrations in TCV compared with cPTC. Recurrent gains of 1p34-36, 1q21, 6p21-22, 9q34, 11q13, 17q25, 19, and 22 and losses of 2q21-31, 4, 5p14-q21, 6q11-22, 8q11-22, 9q11-32, and 13q21, were unique to TCV. Hierarchical clustering of gene expression profiles revealed significant overlap between TCV and cPTC, but further analysis identified 82 dysregulated genes differentially expressed among the PTC variants. Of these, MUC1 was of particular interest because amplification of 1q by CGH correlated with MUC1 amplification by real-time PCR analysis and protein overexpression by immunohistochemistry in TCV (P = 0.005). Multivariate analysis revealed a significant association between MUC1 overexpression and treatment outcome, independent of histopathological categorization (P = 0.03). Analysis of a validation series containing a matched group of aggressive and indolent cPTCs confirmed the association between MUC1 overexpression and survival (relative risk, 2.3; 95% confidence interval, 1.1-5.5; P = 0.03). Our data suggest that MUC1 dysregulation is associated with aggressive behavior of PTC and may serve as a prognostic marker and potential therapeutic target in this disease.
Keywords: immunohistochemistry; survival; adult; treatment outcome; middle aged; gene cluster; major clinical study; histopathology; validation process; polymerase chain reaction; protein analysis; reproducibility of results; chromosome 19; gene overexpression; gene amplification; gene expression profiling; carcinoma, papillary; genetic variability; prediction; gene expression regulation; gene expression regulation, neoplastic; nucleotide sequence; dna fingerprinting; thyroid neoplasms; real time polymerase chain reaction; dna microarray; mucin 1; gene dosage; up-regulation; molecular biology; unindexed sequence; comparative genomic hybridization; thyroid papillary carcinoma; genetic marker; chromosome 1q; chromosome 11q; chromosome 6q; chromosome 17q; chromosome 1p; chromosome 5p; chromosome 8q; chromosome 22; chromosome 9q; chromosome 13q; chromosome 2q; chromosome 4; ca-15-3 antigen; chromosome 6p; humans; prognosis; human; male; female; priority journal; article; thyroid papillary carcinoma tall cell variant
Journal Title: Cancer Research
Volume: 64
Issue: 11
ISSN: 0008-5472
Publisher: American Association for Cancer Research  
Date Published: 2004-06-01
Start Page: 3780
End Page: 3789
Language: English
DOI: 10.1158/0008-5472.can-03-1460
PROVIDER: scopus
PUBMED: 15172984
DOI/URL:
Notes: Cancer Res. -- Cited By (since 1996):82 -- Export Date: 16 June 2014 -- CODEN: CNREA -- Molecular Sequence Numbers: GENBANK: AA035450, AA046328, AA115076, AA115876, AA159194, AA187349, AA187933, AA284668, AA401137, AA425821, AA427398, AA446027, AA454014, AA459632, AA485214, AA487846, AA488073, AA490694, AA598849, AA599574, AA630328, AA668470, AA757351, AA777187, AA810225, H02525, H05085, H11792, H39901, H50086, H80103, N39161, N49949, N54914, N67571, N73611, N74025, N93505, R09729, R33355, R43271, R53266, R70598, R95811, T49630, T84996, W60845, W65340, W90522, W95595; -- Source: Scopus
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MSK Authors
  1. Kepal N Patel
    13 Patel
  2. Dennis Kraus
    268 Kraus
  3. Ronald A Ghossein
    485 Ghossein
  4. Ashok R Shaha
    698 Shaha
  5. Bhuvanesh Singh
    242 Singh
  6. Snehal G Patel
    412 Patel
  7. Nicholas D Socci
    266 Socci
  8. Jatin P Shah
    722 Shah
  9. Michael Hezel
    19 Hezel