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Carcinoma microsatellite instability - Crossref

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Last Updated: 03 May 2022

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Microsatellite Instability Analysis and Its Prognostic Value in Invasive Nonampullary Duodenal Adenocarcinoma

Methods: Immunohistochemistry revealed the expression of the PD-L1 protein and cell differentiation markers in tumors. Results: MSI in invasive NADA was 35 percent, according to the authors. No significant relationship was found between the MSI phenotype and clinicopathological factors, although clinicopathological variables were not observed. Positive expression of PD-L1 by immune cells was common in advanced-stage disease, and PD-L1-positive expression in cancer cells was strongly related to the histologically undifferentiated form. A significantly improved overall survival in patients with MSI and early-stage disease among patients with autoimmune disease and early-stage disease was found in those with microsatellite-stable or late tumor stages, according to a Kaplan-Meier survival study. Multiple prognostic factors of OS, according to Univariate and multivariate studies, MSI and early tumor stage were independent of OS. Conclusions: MSI and early tumor development were both independent risk prognostic factors of OS. A high percentage of MSI phenotypes and positive PD-L1 expression may be helpful in determining immune checkpoint inhibitors as a novel therapeutic tactic.

Source link: https://doi.org/10.1159/000519805


Relative Telomere Length Change in Colorectal Carcinoma and Its Association with Tumor Characteristics, Gene Expression and Microsatellite Instability

We compared tumor and adjacent normal tissue samples from 165 colorectal carcinoma patients to examine change in relative telomere length and its relationship to different histological and molecular characteristics. RTL shortening in tumor tissue is similar to RTL shortening in human leukocytes after 10 years of aging, according to the same assay. We also investigated differential gene expression in selected cancer-related genes, and genes in selected cancer-related pathways and genes at the genome-wide level in CRC tissues to determine the relationship between gene expression and RTL changes in a subset of patients.

Source link: https://doi.org/10.3390/cancers14092250


A tumoral and peritumoral CT-based Radiomics and Machine learning approach to predict the microsatellite instability of rectal carcinoma

Objective: To determine the presence of microsatellite instability of rectal carcinoma using different machine learning techniques based on tumoral and peritumoral radiomics as well as clinicopathological characteristics. After tumor segmentation, tumoral and peritumoral CT-based radiomic characteristics were established. The method of inter-observer correlation coefficient was used to compare two radiologists' radiomic features. To determine the model's results, the receiver operator curve was constructed by Delong test and the area under curve with a 95% confidence interval was calculated. Results: The venous phase of CT examination was chosen for further study due to the percentage of radiomic features with ICC greater than 0. 7 was higher. With the AUCs of 0. 817 and 0. 726 in the training and validation program, the tumoral and perceptumoral model by LR algorithm with minimal RSD demonstrated good success in predicting MSI status of RC.

Source link: https://doi.org/10.21203/rs.3.rs-1305223/v1


Dissection of Immune Profiles in Microsatellite Stable and Low Microsatellite Instability Colon Adenocarcinoma by Multiomics Data Analysis

Although microsatellite instability is a predictor of effective immunotherapy response, only 15% of colon adenocarcinoma patients have MSI. An investigation into the immune profiles of low MSI and microsatellite stable COAD is currently lacking, though it may provide new insight into COAD immunity. MSI-L/MSS COAD based on the enrichment levels of 28 immune signatures in order to determine its immune-specific subtypes. According to the respective, three MSI-L/MSS COAD subtypes had high, medium, and poor immune signature scores. By analyzing five separate datasets, including four bulk tumor datasets and one single-cell dataset, we showed that this subtyping strategy was reproducible and predictable. MSI-L/MSS COAD's immune-specific subtyping may provide new insight into the tumor tolerance as well as clinical relevance for immunotherapy for patients with MSI.

Source link: https://doi.org/10.1155/2022/8588164


A mismatch recognition defect in colon carcinoma confers DNA microsatellite instability and a mutator phenotype.

We have analyzed spontaneous mutations in Chinese hamster clone B cells that display a mutator phenotype due to inadequate mismatch binding. A G-T mismatch recognition factor is a mismatch binding protein that is missing in the mutator line. According to Band-shift results, the mismatch recognition protein's most suitable substrate for the mismatch detection protein is duplex DNA containing an extrahelical mono- or dinucleotide in repeated sequences. A missing binding protein causing a change in clone B microsatellite DNA, in accordance with a role in preventing minus frame shifts. In Lo Vo, a human colorectal carcinoma cell line, a mismatch binding defect was also present. Extracts of clone B or a second mismatch binding-deficient line, Raji-F12, did not include Lo Vo extracts, indicating that these lines share a common defect. Our results provide a mechanistic explanation for the connection between defective mismatch detection and human colon cancer's microsatellite instability.

Source link: https://doi.org/10.1073/pnas.91.19.8905


Ovarian Endometrioid and Clear Cell Carcinomas with Low Prevalence of Microsatellite Instability: A Unique Subset of Ovarian Carcinomas Could Benefit from Combination Therapy with Immune Checkpoint Inhibitors and Other Anticancer Agents

However, the prevalence of MSI-H tumors in ovarian endometrioid and clear cell carcinomas remains uncertain. Here, polymerase chain reaction was used to assess 91 cases of ovarian endometrioid and clear cell carcinomas in the MSI classification and the relationship between MSI-H, immune checkpoint molecules, and clinicopathological causes. No statistical correlations were found between the MSI-H company and the microsatellite stable group on the internet; however, the MSS group seemed to be on a longer-lived path to greater progression-free longevity than the MSI-H group; however, the MSS group seemed to have improved progression-free longevity than the MSI-H group. Patients with PD-L1 expression had shorter overall survival than those without.

Source link: https://doi.org/10.3390/healthcare10040694

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions