TRIP13’s crucial role in pancreatic cancer progression

Background: Pancreatic cancer, characterized by its high mortality rate, stands as one of the most aggressive cancer forms. The projected surge in pancreatic cancer-related deaths, making it the second leading cause in the United States by 2030, underscores the urgency for effective early screening tools. This study employs data mining methods to scrutinize bioinformatic data surrounding TRIP13. Examining differential expression across various cancers, correlating TRIP13 expression with pancreatic cancer stages, exploring associations with common cancer genes, and analyzing overall survival rates constitute the core investigations. Integrated with molecular biology techniques, the study further quantifies TRIP13 expression in progressive pancreatic cancer cell lines and human pancreatic tissues. The research unveils TRIP13\u27s role at both transcriptional and translational levels, suggesting its potential as a specific biomarker for early pancreatic cancer detection, with implications for patient prognosis and targeted therapies in clinical settings. Methods: Utilizing extensive transcriptomic data analysis, the study employs bioinformatics tools such as ConSurf, GTEx, GEPIA2, and LinkedOmics. Molecular biology techniques including qPCR, western blotting, and IHC are applied to validate and integrate bioinformatics findings. Result: ConSurf analysis identifies highly conserved amino acids within the AAA+ ATPase domain of TRIP13. Increased TRIP13 expression correlates with lower disease-free survival in pancreatic cancer, displaying positive associations with CEACAM5 and S1004A. Isoform analysis reveals seven TRIP13 transcripts, with two coding transcripts. Multiple phosphorylation sites further characterize TRIP13. mRNA expression analysis in disease-free conditions indicates minimal TRIP13 expression, notably higher in pancreatic cancer than in normal tissues. Molecular biology techniques confirm elevated TRIP13 expression in moderately differentiated cell lines and tumor grades. Functional enrichment analysis links higher TRIP13 expression to modulation of crucial pathways such as DNA repair, cellular senescence, and viral carcinogenesis. Conclusion: This study positions TRIP13 as a potential early diagnostic biomarker for pancreatic cancer, offering prospects for enhancing current biomarker panels. The integrated biology approach holds promise for identifying specific biomarkers not only for pancreatic cancer but also for other malignancies

Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations

Triple negative breast cancers (TNBCs) are molecularly heterogeneous, and the link between their aggressiveness with African ancestry is not established. We investigated primary TNBCs for gene expression among self-reported race (SRR) groups of African American (AA, n = 42) and European American (EA, n = 33) women. RNA sequencing data were analyzed to measure changes in genome-wide expression, and we utilized logistic regressions to identify ancestry-associated gene expression signatures. Using SNVs identified from our RNA sequencing data, global ancestry was estimated. We identified 156 African ancestry-associated genes and found that, compared to SRR, quantitative genetic analysis was a more robust method to identify racial/ethnic-specific genes that were differentially expressed. A subset of African ancestry-specific genes that were upregulated in TNBCs of our AA patients were validated in TCGA data. In AA patients, there was a higher incidence of basal-like two tumors and altered TP53, NFB1, and AKT pathways. The distinct distribution of TNBC subtypes and altered oncologic pathways show that the ethnic variations in TNBCs are driven by shared genetic ancestry. Thus, to appreciate the molecular diversity of TNBCs, tumors from patients of various ancestral origins should be evaluated

Prognostic Role of Androgen Receptor in Triple Negative Breast Cancer: A Multi-Institutional Study

Background: Androgen Receptor (AR) has emerged as a potential therapeutic target for AR-positive triple-negative breast cancer (TNBC). However, conflicting reports regarding AR’s prognostic role in TNBC are putting its usefulness in question. Some studies conclude that AR positivity indicates a good prognosis in TNBC whereas others suggest the opposite, and some show that AR status has no significant bearing on the patients’ prognosis. Methods: We evaluated the prognostic value of AR in resected primary tumors from TNBC patients from six international cohorts {US (n=420), UK (n=239), Norway (n=104), Ireland (n=222), Nigeria (n=180), and India (n=242); total n=1407}. All TNBC samples were stained with the same anti-AR antibody using the same immunohistochemistry protocol, and samples with ≥1% of AR-positive nuclei were deemed AR-positive TNBCs. Results: AR status shows population-specific patterns of association with patients’ overall survival after controlling for age, grade, population, and chemotherapy. We found AR-positive status to be a marker of good prognosis in US and Nigerian cohorts, a marker of poor prognosis in Norway, Ireland and Indian cohorts, and neutral in UK cohort. Conclusion: AR status, on its own, is not a reliable prognostic marker. More research to investigate molecular subtype composition among the different cohorts is warranted

Prognostic Significance and Gene Expression Profiles of p53 Mutations in Microsatellite-Stable Stage III Colorectal Adenocarcinomas

Although the prognostic value of p53 abnormalities in Stage III microsatellite stable (MSS) colorectal cancers (CRCs) is known, the gene expression profiles specific to the p53 status in the MSS background are not known. Therefore, the current investigation has focused on identification and validation of the gene expression profiles associated with p53 mutant phenotypes in MSS Stage III CRCs. Genomic DNA extracted from 135 formalin-fixed paraffin-embedded tissues, was analyzed for microsatellite instability (MSI) and p53 mutations. Further, mRNA samples extracted from five p53-mutant and five p53-wild-type MSS-CRC snap-frozen tissues were profiled for differential gene expression by Affymetrix Human Genome U133 Plus 2.0 arrays. Differentially expressed genes were further validated by the high-throughput quantitative nuclease protection assay (qNPA), and confirmed by quantitative real-time polymerase chain reaction (qRT-PCR) and by immunohistochemistry (IHC). Survival rates were estimated by Kaplan-Meier and Cox regression analyses. A higher incidence of p53 mutations was found in MSS (58%) than in MSI (30%) phenotypes. Both univariate (log-rank, P = 0.025) and multivariate (hazard ratio, 2.52; 95% confidence interval, 1.25–5.08) analyses have demonstrated that patients with MSS-p53 mutant phenotypes had poor CRC-specific survival when compared to MSS-p53 wild-type phenotypes. Gene expression analyses identified 84 differentially expressed genes. Of 49 down-regulated genes, LPAR6, PDLIM3, and PLAT, and, of 35 up-regulated genes, TRIM29, FUT3, IQGAP3, and SLC6A8 were confirmed by qNPA, qRT-PCR, and IHC platforms. p53 mutations are associated with poor survival of patients with Stage III MSS CRCs and p53-mutant and wild-type phenotypes have distinct gene expression profiles that might be helpful in identifying aggressive subsets

Evaluation of lymph node numbers for adequate staging of Stage II and III colon cancer

<p>Abstract</p> <p>Background</p> <p>Although evaluation of at least 12 lymph nodes (LNs) is recommended as the minimum number of nodes required for accurate staging of colon cancer patients, there is disagreement on what constitutes an adequate identification of such LNs.</p> <p>Methods</p> <p>To evaluate the minimum number of LNs for adequate staging of Stage II and III colon cancer, 490 patients were categorized into groups based on 1-6, 7-11, 12-19, and ≥ 20 LNs collected.</p> <p>Results</p> <p>For patients with Stage II or III disease, examination of 12 LNs was not significantly associated with recurrence or mortality. For Stage II (HR = 0.33; 95% CI, 0.12-0.91), but not for Stage III patients (HR = 1.59; 95% CI, 0.54-4.64), examination of ≥20 LNs was associated with a reduced risk of recurrence within 2 years. However, examination of ≥20 LNs had a 55% (Stage II, HR = 0.45; 95% CI, 0.23-0.87) and a 31% (Stage III, HR = 0.69; 95% CI, 0.38-1.26) decreased risk of mortality, respectively. For each six additional LNs examined from Stage III patients, there was a 19% increased probability of finding a positive LN (parameter estimate = 0.18510, p < 0.0001). For Stage II and III colon cancers, there was improved survival and a decreased risk of recurrence with an increased number of LNs examined, regardless of the cutoff-points. Examination of ≥7 or ≥12 LNs had similar outcomes, but there were significant outcome benefits at the ≥20 cutoff-point only for Stage II patients. For Stage III patients, examination of 6 additional LNs detected one additional positive LN.</p> <p>Conclusions</p> <p>Thus, the 12 LN cut-off point cannot be supported as requisite in determining adequate staging of colon cancer based on current data. However, a minimum of 6 LNs should be examined for adequate staging of Stage II and III colon cancer patients.</p

Characterization of the colorectal cancer–associated enhancer MYC-335 at 8q24: the role of rs67491583

Recent genome-wide association studies have identified multiple regions at 8q24 that confer susceptibility to many cancers. In our previous work, we showed that the colorectal cancer (CRC) risk variant rs6983267 at 8q24 resides within a TCF4 binding site at the MYC-335 enhancer, with the risk allele G having a stronger binding capacity and Wnt responsiveness. Here, we searched for other potential functional variants within MYC-335. Genetic variation within MYC-335 was determined in samples from individuals of European, African, and Asian descent, with emphasis on variants in putative transcription factor binding sites. A 2-bp GA deletion rs67491583 was found to affect a growth factor independent (GFI) binding site and was present only in individuals with African ancestry. Chromatin immunoprecipitation performed in heterozygous cells showed that the GA deletion had an ability to reduce binding of the transcriptional repressors GFI1 and GFI1b. Screening of 1,027 African American colorectal cancer cases and 1,773 healthy controls did not reveal evidence for association (odds ratio: 1.17, 95% confidence interval: 0.97–1.41, P = 0.095). In this study, rs67491583 was identified as another functional variant in the CRC-associated enhancer MYC-335, but further studies are needed to establish the role of rs67491583 in the colorectal cancer predisposition of African Americans

Design of a Colorectal Cancer Data Warehouse

Colorectal cancer researchers spend a substantial amount of effort performing integration, cleansing, interpretation, and aggregation of raw data from multiple sources, including health records and clinical research data. These efforts are often replicated for each project, with investigators running up against the same challenges and experiencing the same pitfalls discovered by those before them. Researchers spend substantial portion of their time on data preparation. The overall objective of this project is to design and implement a colorectal cancer data warehouse infrastructure to improve acquisition, management, and analysis of relevant health records, clinical research, and tumor registry data from our institution and state. The current data preparation processes, at best, are inefficient, costly, time-consuming, and cumbersome. Moreover, without the needed information technology (IT) infrastructure, the potential of the ever-growing heterogeneous data accumulated in disparate data sets would be still untapped. \ \ Our previous colorectal cancer work included discovery and validation of biomarkers, the roles of tumor location and race/ethnicity, treatment efficacy, and prognostic/predictive models that considered the effect of molecular, demographical, epidemiological, and clinico-pathologic features on outcomes, such as mortality, relapse, and survival. The data sources for these projects included data exports from clinical records and spreadsheet files created for each research project. Data management for each project is usually performed in an ad-hoc manner, involving manual processes of data entry, matching, and merging. This process is error-prone and inefficient for data reuse, and not suitable to incorporate additional data sources. \ \ This work proposes to initially design and implement a colorectal cancer data warehouse infrastructure that incorporates existing molecular-level and patient-level research data with continuous data feed from institutional enterprise data warehouse (EDW) in a multidimensional database format. Then, we plan to expand the scope of the colorectal cancer data warehouse to include social determinants of health (SDH) and geospatial census data. Furthermore, we propose to include state level tumor registry data. Such a data management platform will enable us to efficiently analyze disparities among various populations, create state-wide map projections and dashboards, and analyze certain outcomes (e.g. risk and aggressiveness of the disease) to identify differences between rural and urban populations. Creation of a colorectal cancer data warehouse infrastructure would allow us to store, clean, and manage the existing data sources efficiently, increase the quality and reliability of underlying data for our research, and incorporate new data sources to facilitate future research