Common variation in a long non-coding RNA gene modulates variation of circulating TGF-β2 levels in metastatic colorectal cancer patients (Alliance)
Creators
- 1. University of North Carolina at Chapel Hill
- 2. Duke University
- 3. Indiana University
- 4. University of Chicago
- 5. Thomas Jefferson University
- 6. University of California, San Francisco
- 7. Utah Tech University
Description
Background: Herein, we report results from a genome-wide study conducted to identify protein quantitative trait loci (pQTL) for circulating angiogenic and inflammatory protein markers in patients with metastatic colorectal cancer (mCRC). The study was conducted using genotype, protein marker, and baseline clinical and demographic data from CALGB/SWOG 80405 (Alliance), a randomized phase III study designed to assess outcomes of adding VEGF or EGFR inhibitors to systemic chemotherapy in mCRC patients. Germline DNA derived from blood was genotyped on whole-genome array platforms. The abundance of protein markers was quantified using a multiplex enzyme-linked immunosorbent assay from plasma derived from peripheral venous blood collected at baseline. A robust rank-based method was used to assess the statistical significance of each variant and protein pair against a strict genome-wide level. A given pQTL was tested for validation in two external datasets of prostate (CALGB 90401) and pancreatic cancer (CALGB 80303) patients. Bioinformatics analyses were conducted to further establish biological bases for these findings.
Results: The final analysis was carried out based on data from 540,021 common typed genetic variants and 23 protein markers from 869 genetically estimated European patients with mCRC. Correcting for multiple testing, the analysis discovered a novel cis-pQTL in LINC02869, a long non-coding RNA gene, for circulating TGF-β2 levels (rs11118119; AAF = 0.11; P-value < 1.4e-14). This finding was validated in a cohort of 538 prostate cancer patients from CALGB 90401 (AAF = 0.10, P-value < 3.3e-25). The analysis also validated a cis-pQTL we had previously reported for VEGF-A in advanced pancreatic cancer, and additionally identified trans-pQTLs for VEGF-R3, and cis-pQTLs for CD73.
Conclusions: This study has provided evidence of a novel cis germline genetic variant that regulates circulating TGF-β2 levels in plasma of patients with advanced mCRC and prostate cancer. Moreover, the validation of previously identified pQTLs for VEGF-A, CD73, and VEGF-R3, potentiates the validity of these associations.
Data availability
The code base to reproduce the statistical and replication analyses presented in this paper is available from a public source code repository (https://gitlab.oit.duke.edu/dcibioinformatics/pubs/calgb-80405-pqtl). The genotype and phenotype (clinical and protein) data for the CALGB/SWOG 80405 discovery cohort are available from the database of Genotypes and Phenotypes (dbGaP) through study accession: phs003428.v1.p1. The data for the CALGB 80303 and CALGB 90401 validation cohorts are available from the database of Genotypes and Phenotypes (dbGaP) through study accessions phs000250.v1.p1 and phs001002.v2.p1, respectively. The TGF-β2 protein marker for the CALGB 80303 validation cohort is available as supplementary material in Innocenti et al.Files
Common-variation-in-a-long-non-coding-RNA-gene-modulates-variation.pdf
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Additional details
Identifiers
- DOI
- 10.1186/s12864-024-10354-7
- Other
- oai:uchicago.tind.io:11810
Funding
- National Cancer Institute
- U10CA180821
- National Cancer Institute
- U10CA180882
- National Cancer Institute
- U24CA196171
- National Cancer Institute
- UG1CA233253
- National Cancer Institute
- UG1CA233327
- National Cancer Institute
- UG1CA233341
- National Cancer Institute
- UG1CA233373
- Genentech
- CALGB 80303
- Genentech (CALGB 80303 and CALGB 90401
- CALGB 90401
- Pfizer
- CALGB/SWOG 80405
- National Cancer Institute
- P30 Cancer Center Support Grant
- Ministry of Education, Culture, Sports, Science, and Technology of the Japanese Government
- BioBank Japan Project
- National Institutes of Health
- Pharmacogenomics Research Network (PGRN)