Evidence map›Paper›PMID 39885465›Full record

ArticleBMC cancer2025

Infiltration and subtype analysis of CD3 + CD20 + T cells in lung cancer.

Liping Luo, Juan Ji, Juan Dong, Maotao He, Wenjun Jiang, Yang Liu, Weidong Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

7 authors.

Liping LuoBasic Research Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, School of Medicine, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China.
Juan JiPathology Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
Juan DongDepartment of Pulmonology, Meishan Cancer Hospital, Meishan, China.
Maotao HePathology Department, Meishan Cancer Hospital, Meishan, China.
Wenjun JiangBasic Research Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, School of Medicine, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China.
Yang LiuPathology Department, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China. liuyanglyon@uestc.edu.cn.
Weidong WangBasic Research Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, School of Medicine, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China. wwdwyl@uestc.edu.cn.

Funding

Chengdu Science and Technology Innovation R&D Project 2021YF0501659SNClinical Scientist Program of Sichuan Cancer Hospital YB2022003Key Project of Sichuan Provincial Natural Science Foundation 2022NSFSC0051Key R&D Project of Sichuan Provincial Department of Science and Technology 2023YFS0089
6 · The paper itself

Abstract

backgroundCD3 + CD20 + T cells (T

methodsLung cancer surgical samples were stained using multi-color immunofluorescence to study the subtypes and distribution patterns of T

resultsT

conclusionsT

Indexed as

Antigens, CD20CD3 ComplexLung NeoplasmsLymphocytes, Tumor-InfiltratingAgedB-LymphocytesCD4-Positive T-LymphocytesFemaleHumansMaleMiddle AgedTertiary Lymphoid StructuresTumor MicroenvironmentAntigens, CD20CD3 ComplexCD3 + CD20 + T cellDouble negative T cellLung cancerTertiary lymphoid structures

Identifiers

PMID39885465
PMCPMC11783900

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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.