ArticleJCO precision oncology2024
Genomic Profiling of Rare Undifferentiated Sarcomatoid Subtypes of Pancreatic Carcinomas: In Search of Therapeutic Targets.
Article in JCO precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Pancreatic ductal adenocarcinoma and its subtypes: clinical relevance of histopathology and molecular characterization, integrating the key updates of the 2026 WHO classification.Virchows Archiv : an international journal of pathology · 2026Review
- Article
- Characterization of undifferentiated carcinomas of the pancreas with and without osteoclast-like giant cells.JNCI cancer spectrum · 2025Article
- A narrative review on rare types of pancreatic cancer: should they be treated as pancreatic ductal adenocarcinomas?Therapeutic advances in medical oncology · 2024Review
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe highly aggressive undifferentiated sarcomatoid carcinoma (USC) subtype of pancreatic ductal adenocarcinoma (PDAC) remains poorly characterized because of its rarity. Previous case reports suggest that immune checkpoint inhibitors could be a promising treatment strategy, but the prevalence of established predictive biomarkers of response is largely unknown. The objective of this study was to leverage comprehensive genomic profiling of USC PDAC tumors to determine the prevalence of biomarkers associated with potential response to targeted therapies.
methodsUSC tumors (n = 20) underwent central pathology review by a board-certified gastrointestinal pathologist to confirm the diagnosis. These samples were compared with non-USC PDAC tumors (N = 5,562). Retrospective analysis of DNA and RNA next-generation sequencing data was performed.
resultsUSC PDACs were more frequently PD-L1+ by immunohistochemistry than non-USC PDAC (63%
conclusionTo our knowledge, this work represents the largest molecular analysis of USC tumors to date and showed an increased expression of immune checkpoint genes in USC tumors. These findings provide evidence for further investigation into immune checkpoint inhibitors in USC tumors.
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