Evidence map›Paper›PMID 38225784›Full record

ArticleJournal of Korean medical science2024

JAK2 Loss Arising From Tumor-Spread-Through-Air-Spaces (STAS) Promotes Tumor Progression by Suppressing CD8+ T Cells in Lung Adenocarcinoma: A Machine Learning Approach.

Soohwan Choi, Hyung Suk Kim, Kyueng-Whan Min, Yung-Kyun Noh, Jeong-Yeon Lee, Ji-Yong Moon, Un Suk Jung, Mi Jung Kwon, Dong-Hoon Kim, Byoung Kwan Son and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 6 institutions in 1 country.

Soohwan Choi *Department of Thoracic and Cardiovascular Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.ORCID https://orcid.org/0000-0001-5790-958X
Hyung Suk Kim *Division of Breast Surgery, Department of Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.ORCID https://orcid.org/0000-0001-5939-2211
Kyueng-Whan MinDepartment of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea. kyueng@hanyang.ac.kr.ORCID https://orcid.org/0000-0002-4757-9211
Yung-Kyun NohDepartment of Computer Science, Hanyang University, Seoul, Korea.ORCID https://orcid.org/0000-0002-6372-9267
Jeong-Yeon LeeDepartment of Pathology, College of Medicine, Hanyang University, Seoul, Korea.ORCID https://orcid.org/0000-0003-1298-7466
Ji-Yong MoonDepartment of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.ORCID https://orcid.org/0000-0003-2459-3448
Un Suk JungDepartment of Obstetrics and Gynecology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.ORCID https://orcid.org/0000-0003-0421-4148
Mi Jung KwonDepartment of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.ORCID https://orcid.org/0000-0002-3484-6595
Dong-Hoon KimDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5722-6703
Byoung Kwan SonDepartment of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea.ORCID https://orcid.org/0000-0002-9299-5476
Jung Soo PyoDepartment of Pathology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea.ORCID https://orcid.org/0000-0003-0320-8088
Sun Kyun RoDepartment of Thoracic and Cardiovascular Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea.ORCID https://orcid.org/0000-0003-1472-0845
Hanyang University Guri Hospital · KREulji University · KRHallym University Sacred Heart Hospital · KRHanyang University · KRKangbuk Samsung Hospital · KRKorea Institute for Advanced Study · KR

Funding

Ministry of Science and ICT 2020-0-01373Ministry of Science and ICT IITP-2021-0-02068Ministry of Science and ICT RS-2023-00220628National Research Foundation of Korea 2018R1A5A7059549National Research Foundation of Korea 2021M3E5D2A01019545
6 · The paper itself

Abstract

backgroundTumor spread through air spaces (STAS) is a recently discovered risk factor for lung adenocarcinoma (LUAD). The aim of this study was to investigate specific genetic alterations and anticancer immune responses related to STAS. By using a machine learning algorithm and drug screening in lung cancer cell lines, we analyzed the effect of Janus kinase 2 (JAK2) on the survival of patients with LUAD and possible drug candidates.

methodsThis study included 566 patients with LUAD corresponding to clinicopathological and genetic data. For analyses of LUAD, we applied gene set enrichment analysis (GSEA), in silico cytometry, pathway network analysis, in vitro drug screening, and gradient boosting machine (GBM) analysis.

resultsThe patients with STAS had a shorter survival time than those without STAS (

conclusionIn LUAD, low JAK2 expression linked to the presence of STAS might serve as an unfavorable prognostic factor. A relationship between JAK2 and CD8+ T cells suggests that STAS is indirectly related to the anticancer immune response. These results may contribute to the design of future experimental research and drug development programs for LUAD with STAS.

Indexed as

Adenocarcinoma of LungLung NeoplasmsHumansJanus Kinase 2Neoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesT-LymphocytesJAK2 protein, humanJanus Kinase 2CD8+ T CellsJAK2Lung AdenocarcinomaMachine LearningTumor Spread Through Air Spaces (STAS)

Identifiers

PMID38225784
PMCPMC10789524
OpenAlexW4390244619

What Socratic 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 Socratic graph.