Evidence map›Paper›PMID 35648752›Full record

ArticlePloS one2022

Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer.

Yosuke Iwatate, Hajime Yokota, Isamu Hoshino, Fumitaka Ishige, Naoki Kuwayama, Makiko Itami, Yasukuni Mori, Satoshi Chiba, Hidehito Arimitsu, Hiroo Yanagibashi and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 21 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

17 authors at 2 institutions in 1 country.

Yosuke IwatateDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Hajime YokotaDepartment of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Isamu HoshinoDivision of Gastroenterological Surgery, Chiba Cancer Center, Chiba, Japan.ORCID 0000-0002-8156-1752
Fumitaka IshigeDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Naoki KuwayamaDivision of Gastroenterological Surgery, Chiba Cancer Center, Chiba, Japan.
Makiko ItamiDivision of Clinical Pathology, Chiba Cancer Center, Chiba, Japan.
Yasukuni MoriGraduate School of Engineering, Faculty of Engineering, Chiba University, Chiba, Japan.
Satoshi ChibaDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Hidehito ArimitsuDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Hiroo YanagibashiDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Wataru TakayamaDivision of Hepato-Biliary-Pancreatic Surgery, Chiba Cancer Center, Chiba, Japan.
Takashi UnoDepartment of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.ORCID 0000-0003-4606-5662
Jason LinLaboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba, Japan.
Yuki NakamuraLaboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba, Japan.
Yasutoshi TatsumiLaboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba, Japan.
Osamu ShimozatoLaboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba, Japan.
Hiroki NagaseLaboratory of Cancer Genetics, Chiba Cancer Center Research Institute, Chiba Cancer Center, Chiba, Japan.
Chiba Cancer Center · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomic analysis of cancer samples helps identify the mechanism and molecular markers of cancer. However, transcriptomic analyses of pancreatic cancer from the Japanese population are lacking. Hence, in this study, we performed RNA sequencing of fresh and frozen pancreatic cancer tissues from 12 Japanese patients to identify genes critical for the clinical pathology of pancreatic cancer among the Japanese population. Additionally, we performed immunostaining of 107 pancreatic cancer samples to verify the results of RNA sequencing. Bioinformatics analysis of RNA sequencing data identified ITGB1 (Integrin beta 1) as an important gene for pancreatic cancer metastasis, progression, and prognosis. ITGB1 expression was verified using immunostaining. The results of RNA sequencing and immunostaining showed a significant correlation (r = 0.552, p = 0.118) in ITGB1 expression. Moreover, the ITGB1 high-expression group was associated with a significantly worse prognosis (p = 0.035) and recurrence rate (p = 0.028). We believe that ITGB1 may be used as a drug target for pancreatic cancer in the future.

Indexed as

Pancreatic NeoplasmsTranscriptomeGene Expression ProfilingHumansPrognosis

Identifiers

PMID35648752
PMCPMC9159604
OpenAlexW4281615881

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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.