Evidence map›Paper›PMID 39273185›Full record

ArticleInternational journal of molecular sciences2024

Integrating Bulk and Single-Cell RNA-Seq Data to Identify Prognostic Features Related to Activated Dendritic Cells in Clear-Cell Renal-Cell Carcinoma.

Zijian Ye, Yifan Zhang, Jialiang Xu, Kun Li, Jianning Zhang, Deyana Ivanova, Xin Zhang, Siqi Liao, Liqi Duan, Fangfang Li and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

14 authors.

Zijian YeDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Yifan ZhangDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Jialiang XuDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Kun LiDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Jianning ZhangDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Deyana IvanovaDepartment of Medicine, Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Xin ZhangDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Siqi LiaoDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Liqi DuanDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.
Fangfang LiJoint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Xuemei ChenJoint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Yingxiong WangJoint International Research Laboratory of Reproduction and Development of the Ministry of Education of China, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
Meijiao WangDepartment of Physiology, School of Basic Medical Science, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-2913-745X
Biao XieDepartment of Biostatistics, School of Public Health, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0002-7474-4868

Funding

Chongqing Maternal and Child Disease Prevention and Control and Public Health Research Center Open Project CQFYJB01001Chongqing Natural Science Foundation cstc2020jcyj-msxmX0294National Natural Science Foundation of China 82171624National Natural Science Foundation of China 82204159Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202300423the Science and Technology Project of Chongqing Yuzhong District 20200103
6 · The paper itself

Abstract

Dendritic cells (DCs) serve as key regulators in tumor immunity, with activated DCs potentiating antitumor responses through the secretion of pro-inflammatory cytokines and the expression of co-stimulatory molecules. Most current studies focus on the relationship between DC subgroups and clear-cell renal-cell carcinoma (ccRCC), but there is limited research on the connection between DCs and ccRCC from the perspective of immune activation. In this study, activated DC genes were identified in both bulk and single-cell RNA-seq data. A prognostic model related to activated DCs was constructed using univariate, multivariate Cox regression and LASSO regression. The prognostic model was validated in three external validation sets: GSE167573, ICGC, and E-MTAB-1980. The prognostic model consists of five genes,

Indexed as

Carcinoma, Renal CellDendritic CellsKidney NeoplasmsRNA-SeqSingle-Cell AnalysisBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMalePrognosisSingle-Cell Gene Expression AnalysisBiomarkers, Tumordendritic cellsimmune activationimmunotherapymolecular dockingprognostic model

Identifiers

PMID39273185
PMCPMC11395106

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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.