Evidence map›Paper›PMID 35043231›Full record

ArticleCancer immunology, immunotherapy : CII2022

Prognostic value, DNA variation and immunologic features of a tertiary lymphoid structure-related chemokine signature in clear cell renal cell carcinoma.

Wenhao Xu, Chunguang Ma, Wangrui Liu, Aihetaimujiang Anwaier, Xi Tian, Guohai Shi, Yuanyuan Qu, Shiyin Wei, Hailiang Zhang, Dingwei Ye

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

10 authors.

Wenhao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China.
Chunguang Ma *Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China.
Wangrui Liu *Affiliated Hospital of Youjiang Medical University for Nationalities, Zhongshan 2nd Road 18, Baise, 533000, People's Republic of China.
Aihetaimujiang Anwaier *Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China.
Xi TianDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China.
Guohai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China.
Yuanyuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China. quyy1987@163.com.
Shiyin WeiAffiliated Hospital of Youjiang Medical University for Nationalities, Zhongshan 2nd Road 18, Baise, 533000, People's Republic of China. yjweishiyin@163.com.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China. zhanghl918@163.com.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical college, Fudan University, Dong'an Road 270, Shanghai, 200032, People's Republic of China. dwyelie@163.com.ORCID http://orcid.org/0000-0002-6761-5195

Funding

Fudan University FQXZ202112BNational Basic Research Program of China (973 Program) 2019YFC1316000National Natural Science Foundation of China 81802525National Natural Science Foundation of China 81872099National Natural Science Foundation of China 82172741National Natural Science Foundation of China 82172817Natural Science Foundation of Shanghai 20ZR1413100Shanghai Municipal Health Bureau 2020CXJQ03
6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) and tertiary lymphoid structures (TLS) affect the occurrence and development of cancers. How the immune contexture interacts with the phenotype of clear cell renal cell carcinoma (ccRCC) remains unclear.

methodsWe identified and evaluated TLS clusters in ccRCC using machine learning algorithms and the 12-chemokine gene signature for TLS. Analyses for functional enrichment, DNA variation, immune cell distribution, association with independent clinicopathological features and predictive value of CXCL13 in ccRCC were performed.

resultsWe found a prominently enrichment of the 12-chemokine gene signature for TLS in patients with ccRCC compared with other types of renal cell carcinoma. We identified a prognostic value of CCL4, CCL5, CCL8, CCL19 and CXCL13 expression in ccRCC. DNA deletion of the TLS gene signature significantly predicted poor outcome in ccRCC compared with amplification and wild-type gene signature. We established TLS clusters (C1-4) and observed distinct differences in survival, stem cell-like characteristics, immune cell distribution, response to immunotherapies and VEGF-targeted therapies among the clusters. We found that elevated CXCL13 expression significantly predicted aggressive progression and poor prognosis in 232 patients with ccRCC in a real-world validation cohort.

conclusionThis study described a 12-chemokine gene signature for TLS in ccRCC and established TLS clusters that reflected different TME immune status and corresponded to prognosis of ccRCC. We confirmed the dense presence of TILs aggregation and TLS in ccRCC and demonstrated an oncogenic role of CXCL13 expression of ccRCC, which help develop immunotherapies and provide novel insights on the long-term management of ccRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsTertiary Lymphoid StructuresBiomarkers, TumorDNAHumansPrognosisTumor MicroenvironmentBiomarkers, TumorDNAClear cell renal cell carcinomaCXCL13Machine learning algorithmPrognosisTertiary lymphoid structuresTumor microenvironment

Identifiers

PMID35043231
PMCPMC10992571

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Registered trials

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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.