RESUMO
Microsatellite instability (MSI) is an important biomarker in cancer. While routine methods can detect MSI in certain tumor types, in other tumor types the results may be incorrect due to differences in the MSI loci pattern. Here, we report the case of a patient with pancreatic adenocarcinoma, with confirmed MSI by two independent next-generation sequencing tests, but not by routine methods, who had progression on pembrolizumab. Comparison of the patient's MSI loci patterns with MSI+ colorectal adenocarcinoma samples showed a lower fraction of unstable loci, low resolution of a second peak in the repeat length spectrum of unstable short tandem repeats in the patient's sample, and a lower length of indels (3.7 vs 4.5 base pairs, p < 0.01).
Microsatellite instability (MSI) is typically evaluated to select patients who will most likely benefit from the treatments to make immune system work better (immunotherapy). MSI is difficult to identify in cancer, because its patterns can vary in different tumors. In this article, we describe a case of a pancreatic cancer patient whose tumor, although MSI-positive, did not respond to immunotherapy. We conclude that this can be because the MSI pattern was different from those typically observed in other cancers.
RESUMO
With the growing use of comprehensive tumor molecular profiling (CTMP), the therapeutic landscape of cancer is rapidly evolving. NGS produces large amounts of genomic data requiring complex analysis and subsequent interpretation. We sought to determine the utility of publicly available knowledge bases (KB) for the interpretation of the cancer mutational profile in clinical practice. Analysis was performed across patients who previously underwent CTMP. Independent interpretation of the CTMP was performed manually, and then, the recommendations were compared to ones present in KBs (OncoKB, CIViC, CGI, CGA, VICC, MolecularMatch). A total of 222 CTMP reports from 222 patients with 932 genomic alterations (GA) were identified. For 368 targetable GA identified in 171 (77%) of the patients, 1381 therapy recommendations were compiled. Except for CGA, therapy ESCAT LOE I, II, IIIA and IIIB therapy options were equally represented in the majority of KB. Personalized treatment options with ESCAT LOE I-II were provided for 35 patients (16%); MolecularMatch/CIViC allowed to collect ESCAT I-II treatment options for 34 of them (97%), OncoKB/CGI-for 33 of them (94%). Employing VICC and CGA 6 (17%) and 20 (57%) of patients were left without ESCAT I or II treatment options. For 88 patients with ESCAT level III-B therapy recommendations: only 2 (2%), 3 (3%), 4 (5%) and 6 (7%) of patients were left without options with CIViC, MolecularMatch, CGI and OncoKB, and with VICC-12 (14%). Highest overlap ratio was observed for IIIA (0.81) biomarkers, with the comparable results for LOE I-II. Meanwhile, overlap ratio for ESCAT LOE IV was 0.22. Public KBs provide substantial information on ESCAT-I/R1 biomarkers, but the information on ESCAT II-IV and resistance biomarkers is underrepresented. Manual curation should be considered the gold standard for the CTMP interpretation.
