Evidence map›Paper›PMID 39232758›Full record

ArticleMolecular cancer2024

The prognostic effect of infiltrating immune cells is shaped by proximal M2 macrophages in lung adenocarcinoma.

Jian-Rong Li, Vikram Shaw, Yupei Lin, Xiang Wang, Muhammad Aminu, Yong Li, Jia Wu, Jianjun Zhang, Christopher I Amos, Chao Cheng

Abstract read
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

10 authors.

Jian-Rong LiInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Vikram ShawInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Yupei LinInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Xiang WangInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Muhammad AminuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yong LiSection of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
Jia WuDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Jianjun ZhangDepartment of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Chao ChengInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA. chao.cheng@bcm.edu.

Funding

(PQD4) SIGNS OF INFLAMMATORY BREAST CANCER ARE CAUSED BY STROMAL FIELD EFFECTSR01CA180061 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WOODWARD, WENDY A · 2013 to 2016
$1.9M
An innovative integrated computational framework using gene signatures for patient stratificationR01CA269764 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHAO CHENG · 2023 to 2026
$1.8M
High Memory High-Performance Computer Cluster for Biomedical ResearchS10OD032185 · OD · BAYLOR COLLEGE OF MEDICINE · PI HILSENBECK, SUSAN G. · 2022 to 2022
$596k
Cancer Prevention Research Institute of Texas RR180061NCI NIH HHS R01 CA269764NIH HHS S10 OD032185
6 · The paper itself

Abstract

The spatial arrangement of immune cells within the tumor microenvironment (TME) and their interactions play critical roles in the initiation and development of cancer. Several advanced technologies such as imaging mass cytometry (IMC) providing the immunological landscape of the TME with single-cell resolution. In this study, we develop a new method to quantify the spatial proximity between different cell types based on single-cell spatial data. Using this method on IMC data from 416 lung adenocarcinoma patients, we show that the proximity between different cell types is more correlated with patient prognosis compared to the traditional features such immune cell density and fractions. Consistent with previous reports, our results validate that proximity of T helper (Th) and B cells to cancer cells is associated with survival benefits. More importantly, we discover that the proximity of M2 macrophages to multiple immune cells is associated with poor prognosis. When Th/B cells are stratified into M2-distal and M2-proximal, the abundance of the former but not the latter category of Th/B cells is correlated with enhanced patient survival. Additionally, the abundance of M2-distal and M2-proximal cytotoxic T cells (Tc) is respectively associated with good and poor prognosis. Our results indicate that the prognostic effect of Th, Tc, and B cells in the tumor microenvironment is modulated by the nearby M2 macrophages. The proposed new method proposed can be readily applied to all single-cell spatial data for revealing functional impact of immune cell interactions.

Indexed as

Adenocarcinoma of LungLung NeoplasmsLymphocytes, Tumor-InfiltratingMacrophagesTumor MicroenvironmentB-LymphocytesHumansPrognosisSingle-Cell Analysis

Identifiers

PMID39232758
PMCPMC11373246

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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.