Evidence map›Paper›PMID 33029256›Full record

ArticleDisease markers2020

High JAK2 Protein Expression Predicts a Poor Prognosis in Patients with Resectable Pancreatic Ductal Adenocarcinoma.

Yang Song, Mei-Yue Tang, Wei Chen, Zhe Wang, Si-Liang Wang

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  4. Role of STAT3 in pancreatic cancer.Exploration of targeted anti-tumor therapy · 2024
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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

5 authors at 1 institution in 1 country.

Yang SongDepartment of Oncology, Shengjing Hospital of China Medical University, 36 Sanhao Road, Shenyang 110004, China.
Mei-Yue TangDepartment of Oncology, Shengjing Hospital of China Medical University, 36 Sanhao Road, Shenyang 110004, China.
Wei ChenDepartment of Oncology, Shengjing Hospital of China Medical University, 36 Sanhao Road, Shenyang 110004, China.
Zhe WangDepartment of Pathology, Shengjing Hospital of China Medical University, 36 Sanhao Road, Shenyang 110004, China.
Si-Liang WangDepartment of Oncology, Shengjing Hospital of China Medical University, 36 Sanhao Road, Shenyang 110004, China.ORCID https://orcid.org/0000-0001-7114-7331
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most fatal malignancies worldwide. The JAK/STAT signaling pathway is involved in pancreatic cancer tumorigenesis. However, the prognostic value of JAK2 expression in resectable PDAC is unclear.

methodIn this study, we performed a clinicopathological analysis of 62 resectable PDAC cases with a primary focus on survival. JAK2 expression was examined by immunohistochemistry. The relationship between JAK2 expression and clinicopathological features and prognosis was analyzed.

resultsSurvival curve analyses revealed that high levels of JAK2 expression predict a poor prognosis in resectable PDAC patients. Multivariate analysis confirmed that JAK2 expression can predict the prognosis of PDAC.

conclusionsAssessment of JAK2 protein expression may be a promising method to predict prognosis in patients with resectable PDAC.

Indexed as

AdenocarcinomaAdultAgedBiomarkers, TumorCarcinoma, Pancreatic DuctalFemaleFollow-Up StudiesHumansJanus Kinase 2MaleMiddle AgedPancreatectomyPancreatic NeoplasmsPrognosisRetrospective StudiesSurvival RateBiomarkers, TumorJAK2 protein, humanJanus Kinase 2

Identifiers

PMID33029256
PMCPMC7528024
OpenAlexW3088286490

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.