Skip to content
Open access

Single-cell transcriptomics uncovers HPV-driven immune evasion and establishes a TAB2-based prognostic signature in cervical cancer

Aug 2026 · Translational Oncology · Vol 72, pp. 102935 · 0 citations · 33 references
Medicine

TL;DR

An eight‑gene prognostic model predicts survival and immunotherapy response in cervical cancer and identifies three core gene modules linked to immune evasion and malignant proliferation identified.

Abstract

Highlights • HPV infection primarily targets epithelial cells, escalating with disease progression.• HPV enhances malignant cell communication, fostering an immunosuppressive microenvironment.• Three core gene modules linked to immune evasion and malignant proliferation identified.• An eight‑gene prognostic model predicts survival and immunotherapy response in cervical cancer.

Read PDF

Similar papers

Open access Sep 2026

Integrated single-cell and bulk transcriptomic analysis reveals an epithelial cell-derived prognostic and immunotherapeutic signature with ADAM12 as a key functional regulator in non-small cell lung cancer

Highlights • Single-cell transcriptomics reveals epithelial heterogeneity shaping NSCLC immunity.• A 101-algorithm ML framework constructs a Prognostic and Immunotherapeutic Signature.• PIS stratifies NSCLC patients by prognosis and immune checkpoint blockade response.• ADAM12 inhibition enhances anti-PD-1 efficacy in...

Hai-Lin Liu, Jun-Jie Yu, Yan-Tao Jiang et al. · 0 citations
Open access Aug 2026

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma

Single-cell sequencing reveals resistance-linked malignant subcluster in LUAD, confirming oncogenic role and CoxBoost + survivalSVM model achieves optimal C-index of 0.686 across seven cohorts.

Z. Qiu, Hui Zhao, Qiong Lyu et al. · 0 citations
Open access Aug 2026

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer

Single-cell analysis identifies M8 fibroblast subcluster as dominant post-NACT population linked to ovarian cancer chemo-resistance and NHP2 knockdown suppresses proliferation, migration and invasion of ovarian cancer cells in vitro.

Mingqin Kuang, Chang-Mei Shen, Chun-Ping Yang et al. · 0 citations
Open access Aug 2026

Integrated Transcriptomic Analysis and Machine Learning Identify THY1 as a Key Regulator of Cancer‐Associated Fibroblast Infiltration, Promoting Malignant Progression and Immune Escape in Gastric Cancer

Heterogeneity in cancer‐associated fibroblast (CAF) infiltration within the tumor microenvironment is closely associated with gastric cancer progression and immune evasion; however, precise CAF‐related diagnostic markers and actionable therapeutic targets remain scarce.

Si-Hui Hou, Meng-Zhu Sang, Yan Wang et al. · 0 citations
Open access Sep 2026

Single-cell landscape reveals PLPP2 upregulation underlying radiotherapy resistance and immune microenvironment remodeling in pancreatic cancer

Highlights • Single-cell transcriptomic profiling of multicenter pancreatic cancer radiotherapy cohorts identified PLPP2 as a key driver of radiotherapy resistance and immune microenvironment remodeling.• Random forest model identified PLPP2 as an important marker for promoting malignant progression, immune dysregulati...

Yi-Fei Wang, Parhat Kaysar, Yi-Jian Ma et al. · 0 citations
Open access Sep 2026

Multi-omics integration identifies prognostic genes linked to adaptive immunity response and radiosensitivity in cervical cancer

Highlights • Constructed a two-gene (ITM2A/TCL1A) prognostic model linking adaptive immunity and radiosensitivity in cervical cancer.• Identified ITM2A and TCL1A as radiosensitizers; their downregulation promotes radioresistance.• Risk groups differ in immune infiltration, chemokine/TCR signaling, and immunotherapy res...

Rui Quan, Jin-Bao Wang, Guang-Hui Cheng · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.