FOXF1 as an Immunohistochemical Marker of Hilar Cholangiocarcinoma or Metastatic Pancreatic Ductal Adenocarcinoma. Single Institution Experience

Forkhead box F1 functions as a novel prognostic biomarker and induces caspase‑dependent apoptosis in bladder cancer

The downregulated expression of forkhead box F1 (FOXF1) has been found in many malignant tumors but no research was done in bladder cancer (BC). The present study aimed to investigate the prognostic value and antitumor effects of FOXF1 in patients with BC. Herein, a retrospectively recruited BC cohort and public datasets were utilized to identify the predictive ability of FOXF1 and determine its association with the clinical characteristics of BC patients. It was found that the expression level of FOXF1 was notably lower in BC tissues than in para‑cancerous mucosae. Low FOXF1 expression was associated with unfavorable clinicopathological features and poor prognosis. Furthermore, in BC cells, the mRNA and protein expression levels of FOXF1 were examined using reverse transcription‑quantitative PCR and western blot analysis. Cell viability was examined using Cell Counting Kit‑8, EdU and clonogenic capacity assays. Cell apoptosis was detected using flow cytometry. The results revealed that the activation of FOXF1 impaired cell viability and induced apoptosis in BC. The antitumor effects of FOXF1 were also validated using animal models. Subsequently, caspase‑3 was spotted as a downstream gene of FOXF1 by using RNA sequencing and protein‑protein interaction analyses. FOXF1 inhibited proliferation and induced apoptosis of BC cells via caspase signaling pathway. The present study demonstrates the expression patterns, prognostic predictive ability and antitumor effects of FOXF1 in BC. FOXF1 is a favorable biomarker for predicting clinical outcomes in patients with BC and represents a potential therapeutic target.

MALDI Mass Spectrometry Imaging for the Distinction of Adenocarcinomas of the Pancreas and Biliary Tree

Pancreatic ductal adenocarcinoma and cholangiocarcinoma constitute two aggressive tumor types that originate from the epithelial lining of the excretory ducts of the pancreatobiliary tract. Given their close histomorphological resemblance, a correct diagnosis can be challenging and almost impossible without clinical information. In this study, we investigated whether mass spectrometric peptide features could be employed to distinguish pancreatic ductal adenocarcinoma from cholangiocarcinoma. Three tissue microarrays of formalin-fixed and paraffin-embedded material (FFPE) comprising 41 cases of pancreatic ductal adenocarcinoma and 41 cases of cholangiocarcinoma were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). The derived peptide features and respective intensities were used to build different supervised classification algorithms: gradient boosting (GB), support vector machine (SVM), and k-nearest neighbors (KNN). On a pixel-by-pixel level, a classification accuracy of up to 95% could be achieved. The tentative identification of discriminative tryptic peptide signatures revealed proteins that are involved in the epigenetic regulation of the genome and tumor microenvironment. Despite their histomorphological similarities, mass spectrometry imaging represents an efficient and reliable approach for the distinction of PDAC from CC, offering a promising complementary or alternative approach to the existing tools used in diagnostics such as immunohistochemistry.