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Filename: controllers/Detail.php
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Purpose: Appendiceal adenocarcinoma (AA) is a rare malignancy with distinct histopathologic subtypes and a natural history with metastasis primarily limited to the peritoneum. Little is known about the molecular pathogenesis of AA relative to common tumors.
Experimental Design: We analyzed molecular data for patients within the Guardant Health database with appendix cancer (n = 718). We then identified patients with AA at our institution (from 10/2004-9/2022) for whom circulating tumor DNA (ctDNA) mutation profiling (liquid biopsy) was performed (n=168) and extracted clinicopathologic and outcomes data. Of these 168 patients 57 also had tissue-based tumor mutational profiling allowing for evaluation of concordance between liquid and tissue assays.
Results: The mutational landscape of ctDNA in AA is distinct from tissue-based sequencing, with TP53 being the most frequently mutated (46%). Relative to other tumors, AA appears less likely to shed ctDNA, with only 38% of metastatic AA patients having detectable ctDNA (OR 0.26, p < 0.0001 relative to CRC). When detectable the median VAF was significantly lower in AA (0.4% vs. 1.3% for CRC, p≤0.001). High grade, signet-ring or colonic-type histology, metastatic spread beyond the peritoneum, and TP53 mutation were associated with detectable ctDNA. With respect to clinical translation, patients with detectable ctDNA had worse overall survival (HR = 2.32, p = 0.048). In the Guardant Health cohort actionable mutations were found in 93 patients (13.0%).
Conclusions: Although metastatic AA tumors are less likely to shed tumor DNA into the blood relative to CRC, ctDNA profiling in AA has clinical utility.
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http://dx.doi.org/10.1158/1078-0432.CCR-24-2474 | DOI Listing |
Front Oncol
December 2024
Directorate of Research and Innovation, Mount Kenya University, Thika, Kenya.
Background: The immune response against tumors relies on distinguishing between self and non-self, the basis of cancer immunotherapy. Neoantigens from somatic mutations are central to many immunotherapeutic strategies and understanding their landscape in breast cancer is crucial for targeted interventions. We aimed to profile neoantigens in Kenyan breast cancer patients using genomic DNA and total RNA from paired tumor and adjacent non-cancerous tissue samples of 23 patients.
View Article and Find Full Text PDFFront Oncol
December 2024
Clinic for Gastroenterology and Gastrointestinal Oncology, University Medical Center Göttingen (UMG), Göttingen, Germany.
Pancreatic ductal adenocarcinoma (PDAC) is characterized by its poor prognosis. Traditional Japanese herbal medicine (Kampo), such as Juzentaihoto (a standardized combination of 10 herbal extracts), has shown immune modulatory effects, modulation of microcirculation, and amelioration of fatigue. It is administered to patients to prevent deterioration of cachexia and counteract side effects of chemotherapy.
View Article and Find Full Text PDFArch Pathol Lab Med
December 2024
From the Departments of Pathology, University of Michigan Medical School, Ann Arbor (Plotzke, Manthei, Fullen, Chan, Bresler, Xiao, Andea, Harms).
Context.—: Patients with melanoma can develop second tumors representing either metastases or new primary melanoma. This distinction has profound implications for management.
View Article and Find Full Text PDFSheng Wu Gong Cheng Xue Bao
December 2024
College of Veterinary Medicine, Southwest University, Chongqing 402460, China.
Ten-eleven translocation 1 (TET1) protein is an alpha-ketoglutaric acid (α-KG) and Fe-dependent dioxygenase. It plays a role in the active demethylation of DNA by hydroxylation of 5-methyl-cytosine (5-mC) to 5-hydroxymethyl-cytosine (5-hmC). Ten-eleven translocation 1 (TET1) protein is involved in maintaining genome methylation homeostasis and epigenetic regulation.
View Article and Find Full Text PDFJ Mol Diagn
January 2025
Kunming Medical University, Kunming, China; Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, China. Electronic address:
Microsatellite instability (MSI) detection using tumor tissue is a well-established prognostic and predictive biomarker for certain types of cancers. However, tumor tissue samples are less convenient to obtain than blood plasma samples. The main challenge facing next-generation sequencing-based MSI detection in blood plasma samples is the ultralow signal/noise ratio in plasma cell-free DNA (cfDNA).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!