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Perspectives from machine learning and multi-omics to decoding the effects of VDAC2 malignant subsets on tumor evolution

NPJ Precis Oncol. 2026 Mar 31. doi: 10.1038/s41698-026-01394-1. Online ahead of print.

ABSTRACT

VDAC2's known role in cancer and immune regulation via enhancing the CD8+ T cell-mediated killing, and it is worth systematically digging out the role of VDAC2 in pan-cancer based on this research. Bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptomic analyses were utilized to explore the role of VDAC2 from multiple perspectives in pan-cancers. RT-PCR, cell co-culture, CCK-8 assay, Transwell invasion assays, and ELISA were performed to validate the expression level and biological function. VDAC2 was upregulated in the majority of pan-cancers, and functional enrichment analyses displayed that VDAC2 may take part in the biological progress of energy metabolism, mitochondrial damage and cell proliferation. The landscape of VDAC2 expression and immune infiltration was constructed, and the VDAC2-BAK1-IFNγ pathway was identified in digestive cancer. VDAC2 had the potential to serve as a novel prognostic, screening cancer indicator and immune therapeutic target sensitive to various drugs. Overexpression of VDAC2 significantly promoted gastric cancer cell proliferation, invasion and immune invasion, as validated in vitro experiments. In short, our pan-cancer analysis constructed a comprehensive landscape of VDAC2's oncogenic role, establishing VDAC2 + -BAK1-IFNγ as an important pathway in tumor progression and immune evasion. VDAC2 emerges not only as a valuable prognostic biomarker but also as a promising novel therapeutic target.

PMID:41917254 | DOI:10.1038/s41698-026-01394-1

Perspectives from machine learning and multi-omics to decoding the effects of VDAC2 malignant subsets on tumor evolution

NPJ Precis Oncol. 2026 Mar 31. doi: 10.1038/s41698-026-01394-1. Online ahead of print.

ABSTRACT

VDAC2's known role in cancer and immune regulation via enhancing the CD8+ T cell-mediated killing, and it is worth systematically digging out the role of VDAC2 in pan-cancer based on this research. Bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptomic analyses were utilized to explore the role of VDAC2 from multiple perspectives in pan-cancers. RT-PCR, cell co-culture, CCK-8 assay, Transwell invasion assays, and ELISA were performed to validate the expression level and biological function. VDAC2 was upregulated in the majority of pan-cancers, and functional enrichment analyses displayed that VDAC2 may take part in the biological progress of energy metabolism, mitochondrial damage and cell proliferation. The landscape of VDAC2 expression and immune infiltration was constructed, and the VDAC2-BAK1-IFNγ pathway was identified in digestive cancer. VDAC2 had the potential to serve as a novel prognostic, screening cancer indicator and immune therapeutic target sensitive to various drugs. Overexpression of VDAC2 significantly promoted gastric cancer cell proliferation, invasion and immune invasion, as validated in vitro experiments. In short, our pan-cancer analysis constructed a comprehensive landscape of VDAC2's oncogenic role, establishing VDAC2 + -BAK1-IFNγ as an important pathway in tumor progression and immune evasion. VDAC2 emerges not only as a valuable prognostic biomarker but also as a promising novel therapeutic target.

PMID:41917254 | DOI:10.1038/s41698-026-01394-1

Two-step clinical care pathway to predict MASLD-related advanced fibrosis and long-term outcomes in type 2 diabetes

Gut. 2026 Feb 9;75(3):576-587. doi: 10.1136/gutjnl-2025-337506.

ABSTRACT

BACKGROUND: Current guidelines recommend a two-step approach for risk stratification of metabolic dysfunction-associated steatotic liver disease (MASLD), starting with Fibrosis-4 index (FIB-4) followed by liver stiffness measurement (LSM) using vibration-controlled transient elastography (VCTE).

OBJECTIVE: To evaluate this approach for predicting advanced fibrosis and liver-related events (LREs) in patients with type 2 diabetes (T2D).

DESIGN: A prospective liver biopsy cohort of T2D patients with histologically confirmed MASLD from seven centres in China was used to assess diagnostic performance for advanced fibrosis. The international VCTE-Prognosis cohort, including T2D patients with MASLD who underwent VCTE at 16 centres in the USA, Europe and Asia, with longitudinal follow-up, was used to assess LREs, defined as hepatic decompensation or hepatocellular carcinoma.

RESULTS: 4781 participants were included. In the liver biopsy cohort (n=352; 22.2% with advanced fibrosis), applying LSM thresholds of <8 kPa and >12 kPa after FIB-4 classified patients into 63.4% low-risk, 9.4% intermediate-risk and 27.3% high-risk, with a correct classification rate of 71%. In the VCTE-Prognosis cohort (n=4429; median follow-up 51.3 (IQR 27.4-70.7) months), 140 (3.2%) patients developed LREs (110 (2.5%) with hepatic decompensation and 59 (1.3%) with hepatocellular carcinoma). The two-step approach classified 72.6%, 6.8% and 20.6% of patients into low-risk, intermediate-risk and high-risk groups, with corresponding 5-year cumulative LRE incidences of 0.7%, 0.9% and 11.8%. Refining classification of intermediate FIB-4 patients using LSM <10 kPa (low-risk) and >15 kPa (high-risk) reduced the intermediate-risk group to 5.6% while preserving predictive accuracy.

CONCLUSION: The non-invasive two-step approach of FIB-4 followed by LSM effectively stratifies MASLD-related advanced fibrosis and LREs risk in T2D. Applying LSM cut-offs of 10 and 15 kPa further optimises risk stratification for future LREs.

PMID:41911049 | DOI:10.1136/gutjnl-2025-337506

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