Evidence map›Paper›PMID 34587898›Full record

ArticleBMC bioinformatics2021

The expression landscape of JAK1 and its potential as a biomarker for prognosis and immune infiltrates in NSCLC.

Kaikai Shen, Yuqing Wei, Tangfeng Lv, Yong Song, Xiaogan Jiang, Zhiwei Lu, Ping Zhan, Xianghai Wang, Meng Fan, Weihua Lu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. 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
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Kaikai Shen *Department of Critical Care Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China.
Yuqing Wei *Department of Respiratory Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China.
Tangfeng LvDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, China.
Yong SongDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, China.
Xiaogan JiangDepartment of Critical Care Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China.
Zhiwei LuDepartment of Respiratory Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China.
Ping ZhanDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, China.
Xianghai WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China.
Meng FanDepartment of Radiology Medicine, The No. 2 People's Hospital, Hefei, 230000, China.
Weihua LuDepartment of Critical Care Medicine, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, 241000, China. lwh683@126.com.
First Affiliated Hospital of Wannan Medical College · CNNanjing University · CNHefei First People's Hospital · CNNanjing General Hospital of Nanjing Military Command · CNWannan Medical College · CN

Funding

Anhui Provincial Special Project of Central Government Guiding Local Science and Technology Development of China201907d07050001 201907d07050001Funding of "Peak" Training Program for Scientific Research of Yijishan Hospital, Wannan Medical College GF2019J03
6 · The paper itself

Abstract

backgroundJanus-activated kinase-1 (JAK1) plays a crucial role in many aspects of cell proliferation, differentiation, apoptosis and immune regulation. However, correlations of JAK1 with prognosis and immune infiltration in NSCLC have not been documented.

methodsWe analyzed the relationship between JAK1 expression and NSCLC prognosis and immune infiltration using multiple public databases.

resultsJAK1 expression was significantly decreased in NSCLC compared with that in paired normal tissues. JAK1 overexpression indicated a favourable prognosis in NSCLC. In subgroup analysis, high JAK1 expression was associated with a preferable prognosis in lung adenocarcinoma (OS: HR, 0.74, 95% CI from 0.58 to 0.95, log-rank P = 0.017), not squamous cell carcinoma. In addition, data from Kaplan-Meier plotter revealed that JAK1 overexpression was associated with a preferable prognosis in male and stage N2 patients and patients without distant metastasis. Notably, increased levels of JAK1 expression were associated with an undesirable prognosis in patients with stage 1 (OS: HR, 1.46, 95% CI from 1.06 to 2.00, P = 0.02) and without lymph node metastasis (PFS: HR, 2.18, 95% CI from 1.06 to 4.46, P = 0.029), which suggests that early-stage NSCLC patients with JAK1 overexpression may have a bleak prognosis. Moreover, multiple immune infiltration cells, including NK cells, CD8 + T and CD4 + T cells, B cells, macrophages, neutrophils, and dendritic cells (DCs), in NSCLC were positively correlated with JAK1 expression. Furthermore, diverse immune markers are associated with JAK1 expression.

conclusionsJAK1 overexpression exhibited superior prognosis and immune infiltration in NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorHumansJanus Kinase 1Kaplan-Meier EstimateLymphocytes, Tumor-InfiltratingMaleBiomarkers, TumorJAK1 protein, humanJanus Kinase 1Immune infiltratingJAK1NSCLCPrognosis

Identifiers

PMID34587898
PMCPMC8482691
OpenAlexW3204381417

What OpenQuestion holds

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LicenceCC BY
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.