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Alpha-fetoprotein-producing gastric cancer (AFPGC) is a rare but highly aggressive subtype of gastric cancer. Patients with AFPGC are at high risk of liver metastasis, and the tumor microenvironment (TME) is complex. A multicenter retrospective study is conducted from January 2011 to December 2021 and included 317 AFPGC patients. Using a multivariable logistic regression model, a nomogram for predicting liver metastasis is built. By combining AFP and the neutrophil-lymphocyte ratio (NLR), we developed a novel and easily applicable predictive indicator, termed ANLiM score, for liver metastasis in AFPGC. An integrated multi-omics analysis, including whole-exome sequencing and proteomic analysis, is conducted and revealed an immunosuppressive TME in AFPGC with liver metastasis. Single-cell RNA sequencing and multiplex immunofluorescence identified the potential roles of tumor-associated neutrophils and tertiary lymphoid structures in shaping the immune microenvironment. These findings are validated in a real-world cohort receiving anti-programmed cell death 1 (anti-PD-1) therapy, which showed concordant effectiveness. In addition, the ANLiM score is also identified as a promising biomarker for predicting immunotherapy efficacy. Overall, a blood biomarker-based predictive indicator is developed for liver metastasis and immunotherapy response in AFPGC. The findings on immune microenvironmental alterations for AFPGC with liver metastasis provide new insights for optimizing immunotherapy strategies.
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http://dx.doi.org/10.1002/advs.202503499 | DOI Listing |
Cardiovasc Intervent Radiol
September 2025
Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: To evaluate predictors of outcomes in colorectal liver metastases (CLM) patients undergoing 90Y radioembolization (TARE), focusing on the impact of tumor absorbed dose.
Materials And Methods: Patients' characteristics and dosimetry assessments were analyzed in 231 patients undergoing 329 TARE sessions from 09/2009 to 07/2023. Response was assessed using RECIST1.
Nat Cell Biol
September 2025
Department of Medicine, Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Durotaxis, cell migration along stiffness gradients, is linked to embryonic development, tissue repair and disease. Despite solid in vitro evidence, its role in vivo remains largely speculative. Here we demonstrate that durotaxis actively drives disease progression in vivo in mouse models of lung fibrosis and metastatic pancreatic cancer.
View Article and Find Full Text PDFTrends Cancer
September 2025
School of Cancer Sciences, University of Glasgow, Glasgow, UK; Cancer Research UK Scotland Institute, Glasgow, UK. Electronic address:
Metastatic disease and therapy resistance pose significant challenges in the treatment of breast cancer. Recent studies by Rozalén et al. and Petroni et al.
View Article and Find Full Text PDFExp Cell Res
September 2025
Cancer Biology Laboratory, Dept of Life Sciences, GITAM School of Sciences, GITAM (Deemed to be University), Visakhapatnam-530045, Andhra Pradesh, India. Electronic address:
CD151 is a tetraspanin, abnormally expressed in triple negative breast cancer (TNBC). It is a prominent component of exosomes, facilitating the secretion of proteins that promote metastasis and drug resistance. We have previously demonstrated that silencing the CD151 gene reduces metastasis in TNBC.
View Article and Find Full Text PDFInt J Surg Pathol
September 2025
Department of Pathology, Tata Memorial Hospital & Advanced Centre for Treatment and Research, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.
Undifferentiated carcinomas with osteoclast-like giant cells of the pancreaticobiliary tract (UCOGCs) are rare but distinctive tumors with limited literature. To study the clinicopathologic characteristics of UCOGCs including morphology, immunohistochemistry (IHC), management, and survival outcomes. Assessment of 12 patients of UCOGC found over 10 years from a tertiary care oncology center database.
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