Publications by authors named "D Klimstra"

Acinar cell carcinoma (ACC) and pancreatoblastoma (PBL) are rare pancreatic malignancies with acinar differentiation. Proteogenomic profiling of ACC and PBL revealed distinct protein expression patterns compared to pancreatic ductal adenocarcinoma (PDAC) and benign pancreas. ACC and PBL exhibited similarities, with enrichment in proteins related to RNA processing, chromosome organization, and the mitoribosome, while PDACs overexpressed proteins associated with actin-based processes, extracellular matrix, and immune-active stroma.

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Pancreatic neuroendocrine tumors (PanNETs) represent well-differentiated endocrine neoplasms with variable clinical outcomes. Predicting patient outcomes using the current tumor grading system is challenging. In addition, traditional systemic treatment options for PanNETs, such as somatostatin analogs or cytotoxic chemotherapies, are very limited.

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Article Synopsis
  • A new AI model was developed for diagnosing invasive lobular carcinoma (ILC) in breast cancer, using CDH1 biallelic mutations as a reliable genetic ground truth instead of subjective histologic features.
  • The model demonstrated high accuracy in predicting these mutations (95%) and diagnosing ILC (96%), with additional insights into other mechanisms of CDH1 inactivation found in some samples.
  • Validation across various patient cohorts supported the model's effectiveness (accuracy of 0.95 and 0.89), showcasing the potential of using genetic data to improve AI diagnostics in pathology.
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Inactivating alterations in the SWItch/Sucrose NonFermentable (SWI/SNF) Chromatin Remodeling Complex subunits have been described in multiple tumor types. Recent studies focused on SMARC subunits of this complex to understand their relationship with tumor characteristics and therapeutic opportunities. To date, pancreatic cancer with these alterations has not been well studied, although isolated cases of undifferentiated carcinomas have been reported.

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