Gastroenterology

Gastroenterology

Volume 138, Issue 4, April 2010, Pages 1429-1440
Gastroenterology

Basic—Alimentary Tract
Biomolecular Network Reconstruction Identifies T-Cell Homing Factors Associated With Survival in Colorectal Cancer

https://doi.org/10.1053/j.gastro.2009.10.057Get rights and content

Background & Aims

Colorectal cancer is a complex disease involving immune defense mechanisms within the tumor. Herein, we used data integration and biomolecular network reconstruction to generate hypotheses about the mechanisms underlying immune responses in colorectal cancer that are relevant to tumor recurrence.

Methods

Mechanistic hypotheses were formulated on the basis of data from 108 patients and tested using different assays (gene expression, phenome mapping, tissue-microarrays, T-cell receptor [TCR] repertoire).

Results

This integrative approach revealed that chemoattraction and adhesion play important roles in determining the density of intratumoral immune cells. The presence of specific chemokines (CX3CL1, CXCL10, CXCL9) and adhesion molecules (ICAM1, VCAM1, MADCAM1) correlated with different subsets of immune cells and with high densities of T-cell subpopulations within specific tumor regions. High expression of these molecules correlated with prolonged disease-free survival. Moreover, the expression of certain chemokines associated with particular TCR repertoire and specific TCR use predicted patient survival.

Conclusions

Data integration and biomolecular network reconstruction is a powerful approach to uncover molecular mechanisms. This study shows the utility of this approach for the investigation of malignant tumors and other diseases. In colorectal cancer, the expression of specific chemokines and adhesion molecules were found as being critical for high densities of T-cell subsets within the tumor and associated with particular TCR repertoire. Intratumoral-specific TCR use correlated with the prognosis of the patients.

Section snippets

Patients and Database

The records of CRC patients who underwent a primary resection of their tumor at the Laennec George Pompidou European Hospital (HEGP) Hospitals between 1996 and 2004 were reviewed and described previously.18 Histopathologic and clinical findings were scored according to the International Union Against Cancer (UICC)-TNM staging system. For details, see the Supplementary Materials and Methods section and Supplementary Table 1. A secure web-based database Tumor Microenvironment Database (TME.db)

Immune-Related Genes Are Associated With the Absence of Tumor Recurrence

We first investigated gene expression in colorectal tumors. We determined the median cut-off values for each gene, and performed survival analysis for up to 10 years after primary tumor resection. Log-rank P values associated with disease-free survival then were calculated and hazard ratios were illustrated by the size of each node in a network (Figure 1). The expression of genes associated with tumor invasion (CEACAM1, CD97), metastasis spreading (ACE, EBAG9, MMP7), tumor anti-apoptotic

Discussion

The staggering complexity of multifactorial diseases such as cancer poses significant challenges for the development of stratified or personalized therapies. The integrated analysis of diverse datasets might circumvent these challenges and provide an enhanced understanding of complex systems, such as the tumor microenvironment. We applied such an integrated approach and performed global analyses of the phenome (large-scale flow cytometry experiments), transcriptome, tissue microarrays of

Acknowledgments

The authors are grateful to Dr Ion Gresser and Dr John Nelson for providing helpful comments and critical review of the manuscript.

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    Funding This work was supported by grants from the Association pour la Recherche sur le Cancer, the National Cancer Institute, the Canceropole Ile de France, Ville de Paris, INSERM, the Austrian Federal Ministry of Science and Research (Genome Programme Austria [GEN-AU] project Bioinformatics Integration Network), the Austrian Science Fund (SpezialForschungBereich [SFB] project Lipotoxicity), and the European Commission (Seventh Framework Programme [7FP], Geninca Consortium, grant number 202230).

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