98%
921
2 minutes
20
Histological subtyping of hepatocellular carcinoma (HCC) is challenging in the presence of histological heterogeneity, where distinctly different morphological patterns are present within the same tumor. Current approaches rely on percent cut-offs. We hypothesized that morphologic intratumor heterogeneity is a non-random biological feature and that incorporating recurrent patterns would improve histological subtyping of HCC. Resected HCC were studied and the overall frequency of morphologic intratumor heterogeneity was 45% in 242 specimens. Steatohepatitic HCC (SH-HCC) had the highest frequency of morphologic intratumor heterogeneity (91%); this was confirmed in additional cohorts of SH-HCC from different medical centers (overall frequency of 78% in SH-HCC). Morphologic intratumor heterogeneity in SH-HCC showed distinct and recurrent patterns that could be classified as early, intermediate, and advanced. Incorporating these patterns into the definition of SH-HCC allowed successful resolution of several persistent challenges: the problem of the best cut-off for subtyping SH-HCC, the problem of the relationship between SH-HCC and scirrhous HCC, and the classification for HCC with abundant microvesicular steatosis. This approach also clarified the relationship between SH-HCC and CTNNB1 mutations, showing that CTNNB1 mutations occur late in a subset of SH-HCC. In summary, there is a high frequency of morphologic intratumor heterogeneity in HCC. Incorporating this finding into histological subtyping resolved several persistent problems with the SH-HCC subtype.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12236939 | PMC |
http://dx.doi.org/10.1016/j.humpath.2024.06.007 | DOI Listing |
Gigascience
January 2025
Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria.
Background: Pancreatic ductal adenocarcinoma (PDAC), the most common and aggressive form of pancreatic cancer, exhibits profound intratumor morphological heterogeneity, complicating the elucidation of the underlying molecular mechanisms driving its progression.
Results: We present and validate an optimized framework for RNA sequencing (RNA-seq) of multiple spatially resolved laser micro-dissected tumor areas (LMD-seq), along with methodological and analytical details to maximize reproducibility and data mining. This approach enhances sensitivity in detecting lowly expressed genes, outperforming single-cell RNA-seq methods, particularly in identifying rare tumor cell populations and transcriptional programs with low expression.
J Neuropathol Exp Neurol
September 2025
Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, United States.
Advances in digital pathology and machine learning have the potential to revolutionize diagnostic neuropathology. Current brain tumor models are typically trained and validated using morphologic features from a single hematoxylin and eosin (H&E)-stained slide per patient. Yet, brain tumors such as diffuse glioma are known for their epigenetic, genetic, and transcriptional heterogeneity within an individual patient.
View Article and Find Full Text PDFCancer Immunol Immunother
August 2025
Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.
Near-infrared photoimmunotherapy (NIR-PIT) is a highly selective cancer therapy based on a targeted monoclonal antibody conjugated to phthalocyanine-based photoabsorber, IRDye700DX (IR700). Following injection, near-infrared light activates the conjugate causing direct cytotoxicity and immunogenic cell death. The high selectivity of NIR-PIT is traditionally based on the binding of a monoclonal antibody to its target thus bringing the photoabsorber, IR700, in close proximity to the cell membrane at the time of light exposure.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Histology and Embryology, Faculty of Medicine, Ege University, Izmir, 35100, Turkey.
Intratumoral heterogeneity remains a major barrier to durable cancer therapies, largely driven by the persistence of cancer stem cells (CSCs). In this study, we employed an integrated, multi-scale approach to investigate how melanoma CSCs respond to siRNA-mediated silencing of three key regulatory genes: KLF4, SHH, and HIF1α. Using a combination of morphological, molecular, spectroscopic, and elemental analyses, we explored structural and biochemical consequences of gene knockdown.
View Article and Find Full Text PDFEndocr Pathol
August 2025
Institute of Pathology, Philipps University Marburg und University Hospital Marburg, Marburg, Germany.
Mixed neuroendocrine-nonneuroendocrine neoplasms (MiNEN) are usually highly aggressive tumors characterized by marked histological heterogeneity, most commonly represented by mixed adenocarcinoma and poorly differentiated neuroendocrine carcinoma (NEC). However, beyond morphological observations, the biological basis and implications of this heterogeneity remain incompletely understood. In this study, we combined component-specific next-generation sequencing and spatial transcriptomics to investigate three mixed adenocarcinoma-NEC cases from different anatomical sites (ileocecal, ovarian, gastric), tracing tumor progression from precursor lesions to invasive NEC.
View Article and Find Full Text PDF