Evidence map›Paper›PMID 42183174›Full record

ArticleInternational journal of genomics2026

PSIP1 Orchestrates Immune Escape in Osteosarcoma: Insights From Single-Cell Analysis and Implications for Immunotherapy Resistance.

Simin Liu, Hong Yan, Wei Ku, Guo Liu

Abstract read
In one paragraph

Article in International journal of genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Simin LiuDepartment of Spinal Surgery, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei, China.ORCID https://orcid.org/0009-0006-2019-1774
Hong YanDepartment of Spinal Surgery, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei, China.ORCID https://orcid.org/0009-0006-7521-3408
Wei KuDepartment of Spinal Surgery, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei, China.ORCID https://orcid.org/0009-0006-1241-3664
Guo LiuDepartment of Spinal Surgery, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning, Hubei, China.ORCID https://orcid.org/0009-0000-4567-3442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcoma (OS) is characterized by a highly heterogeneous tumor microenvironment (TME) that frequently limits the efficacy of immunotherapy. Identifying molecular drivers of immune escape (IE) is essential for improving therapeutic outcomes. Methods: We integrated single-cell RNA sequencing (scRNA-seq) and bulk transcriptomic data to dissect the OS immune landscape. Utilizing high-dimensional weighted gene coexpression network analysis (hdWGCNA), we identified gene modules specifically associated with IE. Results: Within the IE-related module, PSIP1 emerged as the most significant prognostic hub gene. ScRNA-seq analysis localized PSIP1 primarily to malignant cell populations. High PSIP1 expression consistently correlated with abbreviated overall survival across multiple independent cohorts. Functional enrichment and GSEA revealed that PSIP1 is intrinsically linked to the suppression of critical immune effectors, including B-cell signaling, lymphocyte chemotaxis, and NK cell-mediated cytotoxicity. Crucially, PSIP1 exhibited robust predictive performance for immunotherapy response; elevated PSIP1 levels were associated with diminished activity of multiple established immune-response signatures and poor survival in patients undergoing checkpoint blockade. Conclusion: Our study positions PSIP1 as a novel orchestrator of immune evasion and a promising predictive biomarker for immunotherapy resistance in OS, offering a potential target to overcome therapeutic recalcitrance.

Identifiers

PMID42183174
PMCPMC13195495

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.