Evidence map›Paper›PMID 32385277›Full record

ArticleNature communications2020

Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.

Nayoung Kim, Hong Kwan Kim, Kyungjong Lee, Yourae Hong, Jong Ho Cho, Jung Won Choi, Jung-Il Lee, Yeon-Lim Suh, Bo Mi Ku, Hye Hyeon Eum and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 887 papers.

0numbers the graph read from it
0cells of the map it votes in
887citing 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

887 citing papers in PubMed.

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  11. Chlorin e6-mediated sublethal photodynamic therapy modulates biomarkers in a murine lung cancer-derived in vitro cancer-associated fibroblast model.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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827 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Nayoung Kim *Samsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.ORCID http://orcid.org/0000-0003-3202-750X
Hong Kwan Kim *Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Kyungjong Lee *Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 06351, Seoul, Korea.ORCID http://orcid.org/0000-0002-1642-8111
Yourae HongSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.ORCID http://orcid.org/0000-0001-6683-433X
Jong Ho ChoDepartment of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Jung Won ChoiDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Jung-Il LeeDepartment of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Yeon-Lim SuhDepartment of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Bo Mi KuSamsung Biomedical Research Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Hye Hyeon EumSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.ORCID http://orcid.org/0000-0002-8081-4121
Soyean ChoiSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.ORCID http://orcid.org/0000-0002-3626-9576
Yoon-La ChoiDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences &Technology, Sungkyunkwan University, Seoul, 06355, Korea.
Je-Gun JoungSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea.ORCID http://orcid.org/0000-0003-4234-0380
Hyun Ae JungDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Jong-Mu SunDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Se-Hoon LeeDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Jin Seok AhnDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Keunchil ParkDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.
Myung-Ju AhnDivision of Haematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea. silk.ahn@samsung.com.ORCID http://orcid.org/0000-0002-5740-9654
Hae-Ock LeeSamsung Genome Institute, Samsung Medical Center, Seoul, 06351, Korea. haeocklee@catholic.ac.kr.ORCID http://orcid.org/0000-0001-5123-0322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions.

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisAdaptive ImmunityAdenocarcinoma of LungCell LineageCellular ReprogrammingDisease ProgressionEndothelial CellsHumansLigandsLung NeoplasmsMyeloid CellsMyofibroblastsNeoplasm MetastasisNeoplasm StagingNeovascularization, PathologicLigandsReceptors, Cell Surface

Identifiers

PMID32385277
PMCPMC7210975

What OpenQuestion holds

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LicenceCC BY
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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.