Evidence map›Paper›PMID 41227385›Full record

ArticleCells2025

Distinct Tumor-Associated Macrophage Signatures Shape the Immune Microenvironment and Patient Prognosis in Renal Cell Carcinoma.

Youngsoo Han, Aidan Shen, Cheng-Chi Chao, Lucas Yeung, Aliesha Garrett, Jianming Zeng, Satoru Kawakita, Jesse Wang, Zhaohui Wang, Alireza Hassani and 2 more

Abstract read
In one paragraph

Article in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Youngsoo HanTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Aidan ShenTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Cheng-Chi ChaoTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Lucas YeungTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.ORCID 0009-0008-4754-7982
Aliesha GarrettTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.ORCID 0000-0002-6618-3036
Jianming ZengGI Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-4835-6009
Satoru KawakitaTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Jesse WangTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Zhaohui WangTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.ORCID 0009-0004-9690-1184
Alireza HassaniTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Xiling ShenTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
Chongming JiangTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.

Funding

NIH HHS 1R01DK119795-05NIH HHS 1R35GM122465-08
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) accounts for 90% of adult renal cancer cases and is characterized by significant heterogeneity within its tumor microenvironment. This study tests the hypothesis that tumor-associated macrophages (TAMs) influence RCC progression and patient response to treatment by investigating the prognostic implications of TAM signatures. Utilizing independent single-cell RNA sequencing data from RCC patients, we developed eight distinct TAM signatures reflective of TAM presence. A LASSO Cox regression model was constructed to predict survival outcomes, evaluated using the TCGA dataset, and validated across independent RCC cohorts. Model performance was assessed through Kaplan-Meier survival plots, receiver operating characteristic (ROC) curves, and principal component analysis. Survival analysis demonstrated that specific TAM signature gene expressions serve as significant prognostic markers, identifying TAM signatures positively correlated with patient survival and macrophage infiltration. A 27-gene TAM risk model was established, successfully stratifying patients into risk categories, with low-risk patients showing improved overall survival. These findings provide insights into the role of TAMs in modulating the RCC tumor immune microenvironment and their impact on patient prognosis, suggesting that TAM-based signatures may serve as useful prognostic markers and potential targets to enhance RCC treatment strategies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsTumor-Associated MacrophagesTumor MicroenvironmentBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisTranscriptomeBiomarkers, Tumormachine learningprognosisrenal cell carcinomatumor-associated macrophagestumor immune microenvironment

Identifiers

PMID41227385
PMCPMC12610877

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.