Evidence map›Paper›PMID 38594655›Full record

ArticleBMC cancer2024

Interaction of immune cells with renal cancer development: Mendelian randomization (MR) study.

Zhongwen Lu, Yu Yin, Tian Rao, Xinchi Xu, Kai Zhao, Zhanpeng Liu, Chao Qin, Min Tang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Zhongwen Lu *The State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Yu Yin *The State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Tian Rao *The State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Xinchi XuThe State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Kai ZhaoThe State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Zhanpeng LiuThe State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China.
Chao QinThe State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China. nmuqinchao@163.com.
Min TangThe State Key Lab of Reproductive, Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210009, China. mintang@njmu.edu.cn.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

Foundation of Wuxi Municipal Health Commission J202108Jiangsu Province Capability Improvement Project through Science Technology and Education ZDXK202219Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University) Clinical Capacity Enhancement Project JSPH-MC-2022-17Jiangsu Province Postdoctoral Research Support Project 2021K595CJiangsu Science and Technology Association Young Science and Technology Talents Lifting Project (2021)082Jiangsu Science and Technology Think Tank Young Talent Program-Outstanding Youth Special JSKJZK2023026Medical Scientific Research Project of Jiangsu Provincial Health Commission H2019041Natural Science Foundation of the Jiangsu Higher Education Institutions of China 22KJB320014Open Project of Jiangsu Health Development Research Center JSHD2021005Open Project of Key Laboratory of Children's Major Disease Research JKLP202104The China Postdoctoral Science Foundation funded project 2022M711410The Nanjing Postdoctoral Research Support Project 2021BSH204
6 · The paper itself

Abstract

backgroundRenal cell carcinoma (RCC) is a prevalent and extensively immune-infiltrated malignancy of the urinary system. Immune cells play a crucial role in both the progression and therapeutic interventions targeting RCC. Nevertheless, the interplay between RCC and immune cells remains understudied, lacking substantial evidence supporting their causal relationship.

methodsFor the purpose of investigating the causal connection between RCC and immune cell characteristics, a two-way two-sample Mendelian randomization (MR) analysis was carried out in this study. The aim was to determine whether specific immune cell traits have a causal impact on the risk of RCC. In order to achieve this, publicly accessible genetic data was utilized to examine and establish the potential relationship between 731 immune cell characteristics and the likelihood of developing RCC. Additionally, various techniques were applied to verify the reliability, variability, and presence of horizontal pleiotropy in the outcomes.

resultsWe found a bidirectional causal relationship between RCC and immune cells according to the MR analysis results. It should be noted that CD4-CD8-T cells (OR = 1.61, 95%CI = 1.02-2.55, P = 4.07 × 10

conclusionsOur research illustrates the intricate correlation between immune cells and RCC, presenting novel insights for the prospective safeguarding against RCC risk and the exploration of fresh therapeutic targets.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsGenome-Wide Association StudyHumansMendelian Randomization AnalysisProspective StudiesReproducibility of ResultsImmune cellsMendelian randomizationRCCTumor microenvironment

Identifiers

PMID38594655
PMCPMC11005164
OpenAlexW4394601147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.