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Boll, L. M.

Publications and source records attributed to Boll, L. M..

2 recordsLinked to original sources

Oncogenes and tumor suppressor genes are enriched in stop-loss mutations generating protein extensions

Cancer genomes tend to accumulate a large number of mutations, and even rare mutations such as those causing the loss of a stop codon can be observed in a significant fraction of the tumors. Stop-loss mutations extend protein translation into the 3 untranslated region (3 UTR), generating altered proteins carrying extra amino acid sequences. These C-terminal extensions can potentially have consequences for tumorigenesis and immune recognition. To investigate the prevalence of stop-loss mutations in cancer, and to identify recurrent mutations with a possible tumor-promoting effect, we have interrogated mutation data from the tumor samples of 20,801 patients. This search has resulted in the annotation of 3,757 stop-loss mutations in 3,249 different protein-coding genes. Around 11% of the mutated genes contain recurrent stop-loss mutations, occurring in more than one patient. The protein extensions created by the mutations tend to be hydrophobic and/or positively charged, and these features are associated with an increased propensity to generate MHC I-bound peptides. We have also found that cancer-related genes contain 37% more stop-loss mutations than non-cancer-related genes, with both oncogenes and tumor suppressor genes showing similar enrichments. Furthermore, three out of the four genes with the highest number of stop-loss recurrences, PTMA, PCDH9 and SOX9, are cancer-related. In PTMA, the gene with the largest number of stop-loss mutations (14 patients), the mutation results in an extension of 9 amino acids. We provide experimental evidence that the mutation is associated with impaired cleavage of thymosin alpha 1, a peptide with immunostimulatory functions that is generated from the N-terminal part of the PTMA protein. The study provides evidence that stop-loss mutations are enriched in cancer-associated genes and constitutes a valuable resource for further studies on the effects of stop-loss mutations in cancer.

genomics↗

Predicting immunotherapy response in advanced bladder cancer: a meta-analysis of six independent cohorts

Advanced bladder cancer patients show very variable responses to immune checkpoint inhibitors (ICIs) and effective strategies to predict response are still lacking. Here we integrate mutation and gene expression data from 707 advanced bladder cancer patients treated with anti-PD-1/anti-PD-L1 to build highly accurate predictive models. We find that, in addition to tumor mutational burden (TMB), enrichment in the APOBEC mutational signature, and the abundance of pro-inflammatory macrophages, are major factors associated with the response. Paradoxically, patients with high immune infiltration do not show an overall better response. We show that this can be explained by the activation of immune suppressive mechanisms in a large portion of these patients. In the case of non-immune-infiltrated cancer subtypes, we uncover specific variables likely to be involved in the response. Our findings provide novel information for advancing precision medicine in patients with advanced bladder cancer treated with immunotherapy.

cancer biology↗