Evidence map›Paper›PMID 42700259›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026

Integrative omics profiling of CRELD2 in ccRCC: a nexus of genetics, prognosis, and tumor microenvironment.

Shouyong Liu, Yulin Zhou, Li Fan, Yi Wang, Le Qu, Wenquan Zhou

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Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Shouyong LiuDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yulin ZhouDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Li FanDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yi WangDepartment of Urology, The Second People's Hospital of Changzhou, Third Affiliated Hospital of Nanjing Medical University, Changzhou, China. wangyi_urology@163.com.
Le QuDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China. septsoul@hotmail.com.
Wenquan ZhouDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China. shzwqzsl@163.com.

Funding

Jiangsu Funding Program for Excellent Postdoctoral Talent 2022ZB746
6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) is the most common and aggressive form of renal malignancy. Although therapeutic strategies such as targeted agents and immune checkpoint inhibitors have progressed, the prognosis for patients with advanced ccRCC remains unsatisfactory. Cysteine-rich epidermal growth factor-like domain 2 (CRELD2), a protein localized to the endoplasmic reticulum, is involved in several biological processes, yet its function in ccRCC has not been clearly characterized.

methodsWe conducted an integrative multi-omics study to investigate the role of CRELD2 in ccRCC. The study incorporated mendelian randomization (MR), bulk and single-cell RNA sequencing, immunohistochemistry, immune infiltration analysis, and spatial transcriptomics to explore expression patterns, prognostic value, cellular distribution, and potential biological implications of CRELD2.

resultsMR and summary-data-based MR analyses identified CRELD2 as a genetically supported candidate associated with RCC susceptibility. Elevated CRELD2 expression was confirmed at both mRNA and protein levels in ccRCC and correlated with worse overall survival independently. Single-cell analysis revealed preferential CRELD2 enrichment in endothelial and B-cell compartments, with CRELD2-high subsets showing shared enrichment of TNFA/NFκB, MTORC1, ROS, and oxidative phosphorylation pathways. Immune infiltration analysis linked CRELD2 expression to a B-cell-related immune infiltration profile, while spatial transcriptomics showed CRELD2 enrichment in tertiary lymphoid structure (TLS)-associated regions. Across single-cell and spatial analyses, TNFA/NFκB-related immune-inflammatory signaling represented a recurrent CRELD2-associated pathway feature.

conclusionThis study pointed out the CRELD2-centered TLS-associated immune-inflammatory conceptual axis, linking CRELD2 expression, endothelial/B-cell cellular contexts, B-cell-related immune infiltration, TLS-associated spatial localization, and recurrent TNFA/NFκB pathway enrichment via multi-omics and supporting it as a candidate therapeutic biomarker in ccRCC for further functional investigations.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansMultiomicsPrognosisTumor MicroenvironmentClear cell renal cell carcinomaCRELD2Mendelian randomizationMulti-omicsPrognosisTertiary lymphoid structures

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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.