Evidence map›Paper›PMID 39363510›Full record

ArticleGenomics, proteomics & bioinformatics2025

CIEC: Cross-tissue Immune Cell Type Enrichment and Expression Map Visualization for Cancer.

Jinhua He, Haitao Luo, Wei Wang, Dechao Bu, Zhengkai Zou, Haolin Wang, Hongzhen Tang, Zeping Han, Wenfeng Luo, Jian Shen and 3 more

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In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

13 authors.

Jinhua HeCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0003-4841-5179
Haitao LuoShenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen 518081, China.ORCID 0000-0003-3671-7786
Wei WangShenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen 518081, China.ORCID 0009-0004-1655-2069
Dechao BuResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0002-8833-5432
Zhengkai ZouSchool of Management, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0009-0004-1303-2885
Haolin WangSchool of Management, Beijing University of Chinese Medicine, Beijing 100029, China.ORCID 0009-0006-6880-5528
Hongzhen TangShenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen 518081, China.ORCID 0000-0003-2146-7868
Zeping HanCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0003-3804-7704
Wenfeng LuoCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0003-0922-1005
Jian ShenCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0002-6642-1305
Fangmei XieCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0003-4939-0807
Yi ZhaoResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-6046-8420
Zhiming XiangCentral Laboratory, The Affiliated Panyu Central Hospital of Guangzhou Medical University, Guangzhou 511400, China.ORCID 0000-0003-2037-6446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell transcriptome sequencing technology has been applied to decode the cell types and functional states of immune cells, revealing their tissue-specific gene expression patterns and functions in cancer immunity. Comprehensive assessments of immune cells within and across tissues will provide us with a deeper understanding of the tumor immune system in general. Here, we present Cross-tissue Immune cell type or state Enrichment analysis of gene lists for Cancer (CIEC), the first web-based application that integrates database and enrichment analysis to estimate the cross-tissue immune cell types or states. CIEC version 1.0 consists of 480 samples covering primary tumor, adjacent normal tissue, lymph node, metastasis tissue, and peripheral blood from 323 cancer patients. By applying integrative analysis, we constructed an immune cell type/state map for each context, and adopted our previously developed Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology Based Annotation System (KOBAS) algorithm to estimate the enrichment for context-specific immune cell types/states. In addition, CIEC also provides an easy-to-use online interface for users to comprehensively analyze the immune cell characteristics mapped across multiple tissues, including expression map, correlation, similar gene detection, signature score, and expression comparison. We believe that CIEC will be a valuable resource for exploring the intrinsic characteristics of immune cells in cancer patients and for potentially guiding novel cancer-immune biomarker development and immunotherapy strategies. CIEC is freely accessible at http://ciec.gene.ac/.

Indexed as

NeoplasmsSoftwareAlgorithmsDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansTranscriptomeCancer single-cell dataCross-tissue analysisEnrichment analysisExpression mapImmune cell

Identifiers

PMID39363510
PMCPMC12065431

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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.