Evidence map›Paper›PMID 39736762›Full record

ArticleJournal of translational medicine2024

Single-cell and spatial transcriptomics reveal SPP1-CD44 signaling drives primary resistance to immune checkpoint inhibitors in RCC.

Junfeng Zhang, Qingyan Peng, Jin Fan, Fuzhong Liu, Hongbo Chen, Xing Bi, Shuai Yuan, Wei Jiang, Ting Pan, Kailing Li and 2 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. SPP1Cell death & disease · 2026
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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.

Junfeng Zhang *Department of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.ORCID 0000-0002-3511-8055
Qingyan Peng *School of Nursing, Xinjiang Medical University, Urumqi, China.
Jin Fan *Department of Oncology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China.
Fuzhong LiuCancer Institute, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.
Hongbo ChenDepartment of Urology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China.
Xing BiDepartment of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.
Shuai YuanDepartment of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.
Wei JiangDepartment of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.
Ting PanDepartment of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China.
Kailing LiDepartment of Urology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China.
Sihai TanDepartment of Pediatric, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China. 778558840@qq.com.
Peng ChenDepartment of Urology, Xinjiang Medical University Affiliated Cancer Hospital, Urumqi, China. chenpeng9@126.com.

Funding

Natural Science Foundation of Xinjiang No.2023D01C124Science and Technology Assistance Program for Xinjiang 2024E02058The National Natural Science Foundation of China No. 82260791
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) are a cornerstone therapy for advanced renal cell carcinoma (RCC). However, significant rates of primary resistance hinder their efficacy, and the underlying mechanisms remain poorly understood. This study aims to unravel the tumor-immune interactions and signaling pathways driving primary resistance to ICIs in RCC.

methodsWe integrated single-cell RNA sequencing, spatial transcriptomics, and clinical sample analysis to investigate the tumor microenvironment and intercellular signaling. Advanced computational methods, including cell-cell communication networks, pseudotime trajectories, and gene set enrichment analysis (GSEA), were employed to uncover the underlying resistance mechanisms.

resultsCompared to the sensitive group, the primary resistance group exhibited a significant increase in SPP1-CD44 signaling-mediated interactions between tumor cells and immune cells. These interactions disrupted antigen presentation in immune effector cells and suppressed key chemokine and cytokine pathways, thereby impairing effective immune responses. In contrast, the sensitive group showed more active antigen presentation and cytokine signaling, which facilitated stronger immune responses. Furthermore, the interaction between SPP1-secreting tumor cells and CD44-expressing exhausted CD8 + T cells activated the MAPK signaling pathway within CD8 + Tex cells, exacerbating T cell exhaustion and driving the development of ICI resistance in RCC.

conclusionOur findings reveal a potential mechanism by which SPP1-CD44 signaling mediates tumor-immune cell interactions leading to ICI resistance, providing a theoretical basis for targeting and disrupting this signaling to overcome primary resistance in RCC.

Indexed as

Carcinoma, Renal CellDrug Resistance, NeoplasmHyaluronan ReceptorsImmune Checkpoint InhibitorsKidney NeoplasmsSignal TransductionSingle-Cell AnalysisTranscriptomeCD8-Positive T-LymphocytesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTumor MicroenvironmentCD44 protein, humanHyaluronan ReceptorsImmune Checkpoint InhibitorsAdvanced renal cell carcinomaCell–cell communicationMAPK signalingPrimary resistanceSPP1-CD44 signaling

Identifiers

PMID39736762
PMCPMC11687132

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LicenceCC BY-NC-ND
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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.