Evidence map›Paper›PMID 38606165›Full record

ReviewTherapeutic advances in medical oncology2024

Unraveling the tumor immune microenvironment of lung adenocarcinoma using single-cell RNA sequencing.

Lele Song, Yuan Gong, Erpeng Wang, Jianchun Huang, Yuemin Li

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in medical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Review
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  9. Article
  10. Integrated analysis of single-cell and bulk RNA-sequencing identifies a metastasis-related gene signature for predicting prognosis in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  11. 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

5 authors at 3 institutions in 1 country.

Lele SongDepartment of Oncology, Chinese PLA General Hospital, Beijing, P.R. China.ORCID https://orcid.org/0000-0003-0296-2978
Yuan GongDepartment of Gastroenterology, The Second Medical Center of the Chinese PLA General Hospital, Beijing, P.R. China.
Erpeng WangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong province, P.R. China.ORCID https://orcid.org/0000-0001-8464-5217
Jianchun HuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Kunming Medical University. No. 295, Xichang Road, Wuhua District, Kunming, Yunnan Province 650032, P.R. China.
Yuemin LiDepartment of Oncology, Chinese PLA General Hospital. No.8, Dongdajie, Fengtai District, Beijing 100071, P.R. China.
Chinese PLA General Hospital · CNKunming Medical University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor immune microenvironment (TIME) and its indications for lung cancer patient prognosis and therapeutic response have become new hotspots in cancer research in recent years. Tumor cells, immune cells, various regulatory factors, and their interactions in the TIME have been suggested to commonly influence lung cancer development and therapeutic outcome. The heterogeneity of TIME is composed of dynamic immune-related components, including various cancer cells, immune cells, cytokine/chemokine environments, cytotoxic activity, or immunosuppressive factors. The specific composition of cell subtypes may facilitate or hamper the response to immunotherapy and influence patient prognosis. Various markers have been found to stratify the patient prognosis or predict the therapeutic outcome. In this article, we systematically reviewed the recent advancement of TIME studies in lung adenocarcinoma (LUAD) using single-cell RNA sequencing (scRNA-seq) techniques, with specific focuses on the roles of TIME in LUAD development, TIME heterogeneity, indications of TIME in patient prognosis and therapeutic response during immunotherapy and drug resistance. The main findings in TIME heterogeneity and relevant markers or models for prognosis stratification and response prediction have been summarized. We hope that this review provides an overview of TIME status in LUAD and an inspiration for future development of strategies and biomarkers in LUAD treatment.

Indexed as

heterogeneityLUADlung adenocarcinomamutationNSCLCprognosisRNA sequencingsingle-cell transcriptiontumor immune microenvironment

Identifiers

PMID38606165
PMCPMC11008351
OpenAlexW4394721567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.