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Tumor heterogeneity, a hallmark of cancer, frequently leads to treatment failure and relapse. However, the intricate communication between various cell types within the tumor microenvironment and their roles in tumor progression in vivo remain poorly understood. Here we establish a novel tumor heterogeneity model in the Drosophila larval eye disc epithelium and dissect the in vivo mechanisms by combining sophisticated genetics with single-cell RNA sequencing. We found that mutation of the tricellular junction protein M6 in cells surrounding RasV12 benign tumors promotes their malignant transformation. Mechanistically, early RasV12//M6-/- tumors secrete Pvf1, which activates the Pvr receptor on hemocytes, facilitating their recruitment to the tumor site. These tumor-associated hemocytes secrete the Spätzle (Spz) ligand to activate the Toll receptor within the RasV12 tumors. This enhanced activation of the Toll pathway synergizes with RasV12 to promote malignant transformation through the JNK-Hippo signaling cascade. In summary, our study elucidates the complex interplay between genetically distinct oncogenic cells and between tumors and hemocytes, highlighting how hemocytes exploit the ancient innate immune system to coordinate tumor heterogeneity and drive tumor progression.
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http://dx.doi.org/10.1038/s44318-025-00547-5 | DOI Listing |
J Pathol Transl Med
September 2025
Department of Pathology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.
Central nervous system tumors with BCL6 corepressor (BCOR) internal tandem duplications (ITDs) constitute a rare, recently characterized pediatric neoplasm with distinct molecular and histopathological features. To date, 69 cases have been documented in the literature, including our institutional case. These neoplasms predominantly occur in young children, with the cerebellum representing the most frequent anatomical location.
View Article and Find Full Text PDFNeuro Oncol
September 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Background: Disruption of the blood-brain barrier (BBB) in high-grade brain tumors is characterized by contrast accumulation on diagnostic imaging. This window of opportunity study correlates contrast imaging features with the tumor distribution of BBB-permeable (levetiracetam) and -impermeable (cefazolin) drugs.
Methods: Patients with a clinical diagnosis of a high-grade brain tumor underwent MRI for surgical planning.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFProteomics Clin Appl
September 2025
AIBioMed Research Group, Taipei Medical University, Taipei, Taiwan.
Background: Endometrial carcinoma (EC) represents a significant clinical challenge due to its pronounced molecular heterogeneity, directly influencing prognosis and therapeutic responses. Accurate classification of molecular subtypes (CNV-high, CNV-low, MSI-H, POLE) and precise tumor mutational burden (TMB) assessment is crucial for guiding personalized therapeutic interventions. Integrating proteomics data with advanced machine learning (ML) techniques offers a promising strategy for achieving precise, clinically actionable classification and biomarker discovery in EC.
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
August 2025
Department of Urology, Third Affiliated Hospital of Southern Medical University, Guangzhou 510000, China.
Objectives: To identify immunosuppressive neutrophil subsets in patients with prostate cancer (PCa) and construct a risk prediction model for prognosis and immunotherapy response of the patients based on these neutrophil subsets.
Methods: Single-cell and transcriptome data from PCa patients were collected from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Neutrophil subsets in PCa were identified through unsupervised clustering, and their biological functions and effects on immune regulation were analyzed by functional enrichment, cell interaction, and pseudo-time series analyses.