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Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
Whole-Exome Sequencing Identifies Somatic Mutations Associated With Mortality in Metastatic Clear Cell Kidney
Alejandro Mendoza-Alvarez1, Beatriz Guillen-Guio1, Adrian Baez-Ortega2
1Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.
Abstract:
Clear cell renal cell carcinoma (ccRCC) is among the most aggressive histologic subtypes of kidney cancer, representing about 3% of all human cancers. Patients at stage IV have nearly 60% of mortality in 2-3 years after diagnosis. To date, most ccRCC studies have used DNA microarrays and targeted sequencing of a small set of well-established, commonly altered genes. An exception is the large multi-omics study of The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC), which identified new ccRCC genes based on whole exome-sequencing (WES) data, and molecular prognostic signatures based on transcriptomics, epigenetics and proteomics data. Applying WES to simultaneously interrogate virtually all exons in the human genome for somatic variation, here we analyzed the burden of coding somatic mutations in metastatic ccRCC primary tumors, and its association with patient mortality from cancer, in patients who received VEGF receptor-targeting drugs as the first-line therapy. To this end, we sequenced the exomes of ten tumor-normal pairs of ccRCC patient tissues from primary biopsies at >100× mean depth and called somatic coding variation. Mutation burden analysis prioritized 138 genes linked to patient mortality. A gene set enrichment analysis evidenced strong statistical support for the abundance of genes involved in the development of kidney cancer (p = 2.31 × 10-9) and carcinoma (p = 1.22 × 10-5), with 49 genes having direct links with kidney cancer according to the published records. Two of these genes, SIPA1L2 and EIF3A, demonstrated independent associations with mortality in TCGA-KIRC project data. Besides, three mutational signatures were found to be operative in the tumor exomes, one of which (COSMIC signature 12) has not been previously reported in ccRCC. Selection analysis yielded no detectable evidence of overall positive or negative selection, with the exome-wide number of nonsynonymous substitutions per synonymous site reflecting largely neutral tumor evolution. Despite the limited sample size, our results provide evidence for candidate genes where somatic mutation burden is tentatively associated with patient mortality in metastatic ccRCC, offering new potential pharmacological targets and a basis for further validation studies.
Insights
This study analyzed somatic mutations in metastatic clear cell renal cell carcinoma (ccRCC) tumors. It identified 138 genes linked to patient mortality, offering potential new therapeutic targets for kidney cancer.
Area of Science:
- Oncology
- Genomics
- Cancer Research
Background:
- Clear cell renal cell carcinoma (ccRCC) is an aggressive kidney cancer subtype with high mortality.
- Current ccRCC research often relies on DNA microarrays and targeted sequencing.
- The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) project utilized whole exome sequencing (WES) for multi-omics analysis.
Purpose of the Study:
- To investigate the burden of coding somatic mutations in metastatic ccRCC primary tumors.
- To assess the association between mutation burden and patient mortality in ccRCC patients treated with VEGF receptor-targeting drugs.
- To identify novel candidate genes and mutational signatures in ccRCC.
Main Methods:
- Whole exome sequencing (WES) of ten tumor-normal ccRCC pairs at >100× mean depth.
- Somatic coding variation calling and mutation burden analysis.
- Gene set enrichment analysis and selection analysis.
Main Results:
- 138 genes were prioritized for their association with patient mortality.
- Genes involved in kidney cancer and carcinoma development were significantly enriched.
- SIPA1L2 and EIF3A showed independent associations with mortality in TCGA-KIRC data.
- Three mutational signatures were identified, including a novel COSMIC signature 12 in ccRCC.
- Tumor evolution appeared largely neutral with no detectable overall selection.
Conclusions:
- Somatic mutation burden in metastatic ccRCC is tentatively associated with patient mortality.
- Identified candidate genes like SIPA1L2 and EIF3A may serve as potential pharmacological targets.
- Further validation studies are warranted to confirm these findings and explore therapeutic strategies.
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