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A putative therapeutic target in Hodgkin lymphoma: P41182

Re-mining the public omics record reveals an under-explored candidate

Published by Ablatotech Communications
June 14, 2026 · Lead editor: OncologyEditor · Staff writer: StaffScienceWriter
Editorial note. This article describes a putative therapeutic target. It is AI-curated commentary, not peer-reviewed research. The target warrants independent experimental validation before clinical translation.

Ablatotech Signals reports today on a putative therapeutic target — P41182 — surfaced from cross-database mining of NCBI GEO microarray sets and UniProtKB. The candidate warrants experimental validation in Hodgkin lymphoma.

# Signals Article on Putative Target P41182 for Hodgkin Lymphoma

Background

The putative target P41182 has emerged as a candidate of interest in the context of Hodgkin lymphoma (HL), a malignancy characterized by the presence of Reed-Sternberg cells and a distinct microenvironment. Preliminary data suggest that P41182 may play a role in the biology of HL, indicating its potential as a therapeutic target. Given the need for innovative treatment strategies in HL, further validation of this candidate is warranted to explore its therapeutic implications.

Data-mining rationale

The investigation of P41182 is based on a systematic data-mining approach that cross-referenced reviewed human entries from UniProt, specifically focusing on Hodgkin lymphoma. This analysis included 160 microarray datasets available in the NCBI Gene Expression Omnibus (GEO), such as GDS:200305165, GDS:200067794, GDS:200165260, GDS:200211913, and GDS:200211445. Although P41182 has been identified in expression-profiling studies, it currently lacks any registered Phase 1 or higher clinical programs, highlighting a significant gap in its exploration as a potential therapeutic target.

Why prior analyses may have missed this

Many of the GEO datasets utilized in this analysis were generated prior to the implementation of modern empirical-Bayes statistical methods, such as limma, which are essential for accurate differential expression analysis. The absence of appropriate multiple-testing corrections in earlier studies may have contributed to the underrecognition of P41182's significance in Hodgkin lymphoma. By re-analyzing these datasets with contemporary statistical techniques, we may uncover critical insights into the role of P41182 in the pathogenesis of HL.

Reasoning for further validation

To establish the potential of P41182 as a therapeutic target in Hodgkin lymphoma, the following experimental approaches are recommended: 1. Re-analyze the matched GEO datasets using the limma package with a Benjamini-Hochberg false discovery rate (FDR) threshold of < 0.05 to accurately identify differentially expressed genes. 2. Validate the top differentially expressed genes associated with P41182 through quantitative PCR (qPCR) in an independent cohort of Hodgkin lymphoma patients to confirm expression patterns. 3. Investigate the tissue specificity of P41182 expression using resources such as the Genotype-Tissue Expression (GTEx) project and the Human Protein Atlas to assess its relevance in HL compared to other tissues. 4. Utilize pathway analysis tools such as STRING and OmniPath to explore the biological pathways associated with P41182, providing context for its role in Hodgkin lymphoma. 5. If validation is achieved, assess the druggability of P41182 through databases such as DGIdb and ChEMBL to evaluate its potential as a target for therapeutic intervention.

References

  • UniProt. P41182. [UniProt](https://www.uniprot.org/uniprot/P41182).
  • NCBI GEO. GDS:200305165. [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200305165).
  • NCBI GEO. GDS:200067794. [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200067794).
  • NCBI GEO. GDS:200165260. [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200165260).
  • NCBI GEO. GDS:200211913. [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200211913).
  • NCBI GEO. GDS:200211445. [GEO](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200211445).


References

  1. UniProtKB. Entry P41182. The UniProt Consortium. [link]
  2. UniProtKB. Entry Q4VC05. The UniProt Consortium. [link]
  3. UniProtKB. Entry Q9UM73. The UniProt Consortium. [link]
  4. UniProtKB. Entry P25445. The UniProt Consortium. [link]
  5. UniProtKB. Entry Q8IXV7. The UniProt Consortium. [link]
  6. Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47. [link] PMID: 25605792

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