Evidence map›Paper›PMID 39639005›Full record

ArticleNature communications2024

Spatially resolved gene expression profiling of tumor microenvironment reveals key steps of lung adenocarcinoma development.

Yuma Takano, Jun Suzuki, Kotaro Nomura, Gento Fujii, Junko Zenkoh, Hitomi Kawai, Yuta Kuze, Yukie Kashima, Satoi Nagasawa, Yuka Nakamura and 12 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. The lung tissue environment inbioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Spatial Location of SPP1Cancer science · 2026
    Article
  18. Review
  19. Review
  20. 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

22 authors.

Yuma TakanoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Jun SuzukiDepartment of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Kotaro NomuraDepartment of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Gento FujiiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Junko ZenkohDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Hitomi KawaiDepartment of Diagnostic Pathology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.ORCID 0000-0002-9246-3832
Yuta KuzeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Yukie KashimaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Satoi NagasawaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
Yuka NakamuraDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Chiba, Japan.ORCID 0009-0007-2030-8968
Motohiro KojimaDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Chiba, Japan.
Katsuya TsuchiharaDivision of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Chiba, Japan.ORCID 0000-0001-7507-2349
Masahide SekiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0000-0001-6091-8698
Akinori KanaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0000-0003-1555-6768
Daisuke MatsubaraDepartment of Diagnostic Pathology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.ORCID 0000-0002-5371-706X
Masayuki NoguchiDepartment of Diagnostic Pathology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Akihiro NakayaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0000-0001-8308-6177
Masahiro TsuboiDepartment of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
Genichiro IshiiDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Chiba, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan. ysuzuki@edu.k.u-tokyo.ac.jp.ORCID 0000-0003-4852-1879
Ayako SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan. asuzuki@edu.k.u-tokyo.ac.jp.ORCID 0000-0001-9917-2280

Funding

Japan Agency for Medical Research and Development (AMED) JP23ama221522MEXT | Japan Society for the Promotion of Science (JSPS) 22H04925 (PAGS)
6 · The paper itself

Abstract

The interaction of tumor cells and their microenvironment is thought to be a key factor in tumor development. We present spatial RNA profiles obtained from 30 lung adenocarcinoma patients at the non-invasive and later invasive stages. We use spatial transcriptome sequencing data in conjunction with in situ RNA profiling to conduct higher resolution analyses. The detailed examination of each case, as well as the subsequent computational analyses based on the observed diverse profiles, reveals that significant changes in the phenotypic appearances of tumor cells are frequently associated with changes in immune cell features. The phenomenon coincides with the induction of a series of cellular expression programs that enable tumor cells to transform and break through the immune cell barrier, allowing them to progress further. The study shows how lung tumors develop through interaction in their microenvironments.

Indexed as

Adenocarcinoma of LungGene Expression ProfilingGene Expression Regulation, NeoplasticLung NeoplasmsTumor MicroenvironmentAdenocarcinomaFemaleHumansMaleTranscriptome

Identifiers

PMID39639005
PMCPMC11621540

What OpenQuestion holds

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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.