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Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes.

Publication ,  Journal Article
Sadot, E; Simpson, AL; Do, RKG; Gonen, M; Shia, J; Allen, PJ; D'Angelica, MI; DeMatteo, RP; Kingham, TP; Jarnagin, WR
Published in: PLoS One
2015

PURPOSE: To investigate associations between imaging features of cholangiocarcinoma by visual assessment and texture analysis, which quantifies heterogeneity in tumor enhancement patterns, with molecular profiles based on hypoxia markers. METHODS: The institutional review board approved this HIPAA-compliant retrospective study of CT images of intrahepatic cholangiocarcinoma, obtained before surgery. Immunostaining for hypoxia markers (EGFR, VEGF, CD24, P53, MDM2, MRP-1, HIF-1α, CA-IX, and GLUT1) was performed on pre-treatment liver biopsies. Quantitative imaging phenotypes were determined by texture analysis with gray level co-occurrence matrixes. The correlations between quantitative imaging phenotypes, qualitative imaging features (measured by radiographic inspection alone), and expression levels of the hypoxia markers from the 25 tumors were assessed. RESULTS: Twenty-five patients were included with a median age of 62 years (range: 54-84). The median tumor size was 10.2 cm (range: 4-14), 10 (40%) were single tumors, and 90% were moderately differentiated. Positive immunostaining was recorded for VEGF in 67% of the cases, EGFR in 75%, and CD24 in 55%. On multiple linear regression analysis, quantitative imaging phenotypes correlated significantly with EGFR and VEGF expression levels (R2 = 0.4, p<0.05 and R2 = 0.2, p<0.05, respectively), while a trend was demonstrated with CD24 expression (R2 = 0.33, p = 0.1). Three qualitative imaging features correlated with VEGF and CD24 expression (P<0.05), however, none of the qualitative features correlated with the quantitative imaging phenotypes. CONCLUSION: Quantitative imaging phenotypes, as defined by texture analysis, correlated with expression of specific markers of hypoxia, regardless of conventional imaging features.

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Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2015

Volume

10

Issue

7

Start / End Page

e0132953

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Retrospective Studies
  • Prognosis
  • Phenotype
  • Middle Aged
  • Microarray Analysis
  • Male
  • Humans
  • General Science & Technology
  • Gene Expression Regulation, Neoplastic
 

Citation

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Sadot, E., Simpson, A. L., Do, R. K. G., Gonen, M., Shia, J., Allen, P. J., … Jarnagin, W. R. (2015). Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes. PLoS One, 10(7), e0132953. https://doi.org/10.1371/journal.pone.0132953
Sadot, Eran, Amber L. Simpson, Richard K. G. Do, Mithat Gonen, Jinru Shia, Peter J. Allen, Michael I. D’Angelica, Ronald P. DeMatteo, T Peter Kingham, and William R. Jarnagin. “Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes.PLoS One 10, no. 7 (2015): e0132953. https://doi.org/10.1371/journal.pone.0132953.
Sadot E, Simpson AL, Do RKG, Gonen M, Shia J, Allen PJ, et al. Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes. PLoS One. 2015;10(7):e0132953.
Sadot, Eran, et al. “Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes.PLoS One, vol. 10, no. 7, 2015, p. e0132953. Pubmed, doi:10.1371/journal.pone.0132953.
Sadot E, Simpson AL, Do RKG, Gonen M, Shia J, Allen PJ, D’Angelica MI, DeMatteo RP, Kingham TP, Jarnagin WR. Cholangiocarcinoma: Correlation between Molecular Profiling and Imaging Phenotypes. PLoS One. 2015;10(7):e0132953.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2015

Volume

10

Issue

7

Start / End Page

e0132953

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Retrospective Studies
  • Prognosis
  • Phenotype
  • Middle Aged
  • Microarray Analysis
  • Male
  • Humans
  • General Science & Technology
  • Gene Expression Regulation, Neoplastic