Evidence map›Paper›PMID 41578368›Full record

ArticleExperimental hematology & oncology2026

Defining the cellular and molecular identities of histologic subtypes in lung adenocarcinoma.

Jusung Lee, Ji Yun Jeong, Mi Jeong Hong, Yoon Ha Choi, Ju Young Kim, Jang Hyuck Lee, Jin Eun Choi, Moonsik Kim, Young Woo Do, Eung Bae Lee and 5 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2026. 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. A radiotherapy-related fibrosis gene signature-based risk model for predicting prognosis and immunological features in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  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

15 authors.

Jusung Lee *Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Ji Yun Jeong *Department of Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.
Mi Jeong Hong *Department of Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.
Yoon Ha ChoiDepartment of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Ju Young KimDepartment of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
Jang Hyuck LeeDepartment of Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.
Jin Eun ChoiDepartment of Cell & Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, Korea.
Moonsik KimDepartment of Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.
Young Woo DoDepartment of Thoracic Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.
Eung Bae LeeDepartment of Thoracic Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.
Sun Ha ChoiDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Seung Soo YooDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Jae Yong ParkDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Jong Kyoung KimDepartment of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea. blkimjk@postech.ac.kr.
Shin Yup LeeDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea. shinyup@knu.ac.kr.

Funding

Korea Health Technology R&D Project RS-2025-25410994The National Research Foundation 2023R1A2C3004065The National Research Foundation RS-2023-NR076546
6 · The paper itself

Abstract

backgroundTumor histology reflects disease aggressiveness and clinical outcomes in cancer patients. Lung adenocarcinomas (LUADs) are classified based on predominant histologic patterns, including high-grade micropapillary and solid subtypes which portend unfavorable clinical features and prognosis. However, the cellular and molecular characteristics underlying these histologic subtypes remain largely unknown.

methodsWe used scRNA-seq to profile 117,266 cells from 18 treatment-naïve LUADs with heterogeneous histologic patterns and also performed spatial transcriptomic analysis (10x Visium) for representative cases. By integrating single-cell transcriptomics with spatial information, we aimed to characterize the cellular identity and spatial organization driving LUAD heterogeneity.

resultsWe demonstrated that histologic subtypes can be distinguished by subtype-specific cancer cell subpopulations and immunosuppressive phenotypes in the tumor microenvironment (TME). Our data reveal how intercellular interactions among cancer cells, macrophages, and CD8

conclusionsThese findings deepen our understanding of the histologic heterogeneity of LUAD and may facilitate the development of subtype-specific biomarkers and targeted therapeutic strategies.

Indexed as

Histologic subtypesLung adenocarcinomascRNA-seqSpatial tanscriptomics

Identifiers

PMID41578368
PMCPMC12853583

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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.