Skip to content
Open access

Multi-database transcriptomic screening to identify subtype-selective cell surface targets for development of SNAP-tag based immunotherapeutics

2026 · Computational Biomedicine · 0 citations

TL;DR

Bioinformatics and in vitro validation synergize powerfully from initial screening through subtype refinement to iterative target confirmation, enabling a precision medicine approach for cervical cancer-specific immunotherapies.

Abstract

Aims: Cervical cancer is the second most common cancer globally in women of reproductive age. Current immunotherapies offer only moderate improvement in overall survival for metastatic or refractory disease, highlighting the need for more effective, patient-directed immunotherapies. Methods: A unified pipelinereprocessed all The Cancer Genome Atlas (TCGA) and genotype tissue expression (GTEx) samples from raw reads using identical alignment and quantification parameters to screen a curated set of 259 high-confidence surface protein genes. This analysis provided the foundation for selecting differentially overexpressed cell surface receptors as potential antibody-drug conjugate (ADCs) targets . Recombinant single chain variable fragment (scFv)-O6-alkylguanine-DNA alkyltransferase (SNAP) fusion proteins were expressed, purified and characterised using immunoblotting. The dose-dependent and selective cytotoxicity of an auristatin F-conjugated (scFv)-SNAP fusion protein was verified in vitro. Results: Bioinformatic screening revealed 30 potential targets overexpressed in cervical carcinoma (Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC)) vs. healthy tissues. Tissue-of-origin analysis (endocervix vs. ectocervix) further refined priorities. These results, together with supporting evidence from the literature, justified drug production.. The (scFv)-SNAP fusion proteins exhibited strong surface binding across cervical cancer cell lines and, when conjugated to auristatin F, showed dose-dependent cytotoxicity at nanomolar concentrations, confirming the differences observed in transcriptomic analyses of endo- vs. ectocervix profiling. Conclusion: Bioinformatics and in vitro validation synergize powerfully from initial screening through subtype refinement to iterative target confirmation, enabling a precision medicine approach for cervical cancer-specific immunotherapies. The (scFv)-SNAP-auristatin F (ADC) conjugates reproduced this refinement, showing highly promising potential.

Read PDF

Similar papers

Open access Jul 2026

Proteomic Profiling Identifies CLDN3 as a Tumor-Selective Therapeutic Target in Small Cell Lung Cancer

An integrated proteogenomic pipeline combining single-cell RNA sequencing, combinatorial optimization, mass spectrometry–based proteomics, and immunohistochemistry is developed to systematically map the SCLC surfaceome of 49 tumors across 25 patients with relapsed SCLC and found claudin-3 (CLDN3) to be a consistently e...

Brett Schroeder, Jaehyun Choi, Alejandro A. Schäffer et al. · 0 citations
Open access Aug 2026

Multi-omics identification and functional validation of signal regulatory protein gamma as a prognostic biomarker and immune regulator in head and neck squamous cell carcinoma

SIRPG is identified as an immune-related prognostic hub and context-dependent tumor-cell regulator associated with apoptosis, immune communication and spatial microenvironmental organization in HNSCC.

Jiaqi Tang, Yu-Lun He, Yu-Qi Wang et al. · 0 citations
Open access Jul 2026

CHAF1A identified as a candidate biomarker and potential therapeutic target in Burkitt lymphoma through integrated bioinformatics and histopathological analysis.

CHAF1A is identified as a candidate biomarker associated with BL that, in exploratory single-dataset analysis, also correlates with immune-cell infiltration and is nominated as a potential therapeutic target that warrants functional validation in future studies.

Wenyuan Lin, Bei-Li Chen, Zhi-Mei Wu et al. · 0 citations
Open access Jul 2026

Multi-omics profiling with InTraSeq™ uncovers novel single-cell RNA and Proteomics events in CARTs 2265562

InTraSeq™ provides high-resolution, multi-omic insight into CAR-T activation, integration of RNA and protein data, and effector-target interactions, offering a valuable framework for refining CAR-T therapy design and optimization.

Majd M. Ariss, Amrik Singh, S. Beausoleil et al. · 0 citations
Open access Aug 2026

Prognostic stratification by LGR5 expression identifies surface-accessible, structurally ligandable and condensate-forming targets in colorectal cancer

LGR5 expression defines a colorectal cancer subset that is pharmacologically tractable despite the absence of genetic dependency, including condensate-directed modulation of NKD1 as a route to targets inaccessible by antibody- or pocket-based approaches.

Lucía Paniagua-Herranz, A. Feito, Cristian Privat et al. · 0 citations

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