(Phospho)proteomic profiling of microsatellite unstable CRC cells reveals alterations in nuclear signaling and cholesterol metabolism caused by frameshift mutation of NMD regulator UPF3A

DNA mismatch repair-deficient colorectal cancers (CRCs) accumulate numerous frameshift mutations at repetitive sequences recognized as microsatellite instability (MSI). When coding mononucleotide repeats (cMNRs) are affected, tumors accumulate frameshift mutations and premature termination codons (PTC) potentially leading to truncated proteins. Nonsense-mediated RNA decay (NMD) can degrade PTC-containing transcripts and protect from such faulty proteins. As it also regulates normal transcripts and cellular physiology, we tested whether NMD genes themselves are targets of MSI frameshift mutations. A high frequency of cMNR frameshift mutations in the UPF3A gene was found in MSI CRC cell lines (67.7%), MSI colorectal adenomas (55%) and carcinomas (63%). In normal colonic crypts, UPF3A expression was restricted to single chromogranin A-positive cells. SILAC-based proteomic analysis of KM12 CRC cells revealed UPF3A-dependent down-regulation of several enzymes involved in cholesterol biosynthesis. Furthermore, reconstituted UPF3A expression caused alterations of 85 phosphosites in 52 phosphoproteins. Most of them (38/52, 73%) reside in nuclear phosphoproteins involved in regulation of gene expression and RNA splicing. Since UPF3A mutations can modulate the (phospho)proteomic signature and expression of enzymes involved in cholesterol metabolism in CRC cells, UPF3A may influence other processes than NMD and loss of UPF3A expression might provide a growth advantage to MSI CRC cells

Systematic identification of genes with coding microsatellites mutated in DNA mismatch repair-deficient cancer cells

Microsatellite instability (MSI) caused by deficient DNA mismatch-repair functions is a hallmark of cancers associated with the hereditary nonpolyposis colorectal cancer (HNPCC) syndrome but is also found in about 15% of all sporadic tumors. Most affected microsatellites reside in untranslated intergenic or intronic sequences. However, recently few genes with coding microsatellites were also shown to be mutational targets in MSI-positive cancers and might represent important mutation targets in their pathogenesis. The systematic identification of such genes and the analysis of their mutation frequency in MSI-positive cancers might thus reveal major clues to their functional role in MSI-associated carcinogenesis. We therefore initiated a systematic database search in 33,595 distinctly annotated human genes and identified 17,654 potentially coding mononucleotide repeats (cMNRs) and 2,028 coding dinucleotide repeats (cDNRs), which consist of n ≥ 6 and n ≥ 4 repeat units, respectively. Expression pattern and mutation frequency of 19 of these genes with the longest repeats were compared between DNA mismatch repair-deficient (MSI+) and proficient (MSS) cancer cells. Instability frequencies in these coding microsatellite genes ranged from 10% to 100% in MSI-H tumor cells, whereas MSS cancer cells did not show mutations. RT-PCR analysis further showed that most of the affected genes (10/15) were highly expressed in tumor cells. The approach outlined here identified a new set of genes frequently affected by mutations in MSI-positive tumor cells. It will lead to novel and highly specific diagnostic and therapeutic targets for microsatellite unstable cancers

Pathogenesis of DNA repair-deficient cancers: a statistical meta-analysis of putative Real Common Target genes

DNA mismatch repair deficiency is observed in about 15% of human colorectal, gastric, and endometrial tumors and in lower frequencies in a minority of other tumors thereby causing insertion/deletion mutations at short repetitive sequences, recognized as microsatellite instability (MSI). Evolution of tumors, including those with MSI, is a continuous process of mutation and selection favoring neoplastic growth. Mutations in microsatellite-bearing genes that promote tumor cell growth in general (Real Common Target genes) are assumed to be the driving force during MSI carcinogenesis. Thus, microsatellite mutations in these genes should occur more frequently than mutations in microsatellite genes without contribution to malignancy (ByStander genes). So far, only a few Real Common Target genes have been identified by functional studies. Thus, comprehensive analysis of microsatellite mutations will provide important clues to the understanding of MSI-driven carcinogenesis. Here, we evaluated published mutation frequencies on 194 repeat tracts in 137 genes in MSI-H colorectal, endometrial, and gastric carcinomas and propose a statistical model that aims to identify Real Common Target genes. According to our model nine genes including BAX and TGFβRII were identified as Real Common Targets in colorectal cancer, one gene in gastric cancer, and three genes in endometrial cancer. Microsatellite mutations in five additional genes seem to be counterselected in gastrointestinal tumors. Overall, the general applicability, the capacity to unlimited data analysis, the inclusion of mutation data generated by different groups on different sets of tumors make this model a useful tool for predicting Real Common Target genes with specificity for MSI-H tumors of different organs, guiding subsequent functional studies to the most likely targets among numerous microsatellite harboring genes