Evidence map›Paper›PMID 40977667›Full record

ArticleWorld journal of gastrointestinal oncology2025

DEAD/H-box RNA helicase 10 promotes pancreatic cancer cell proliferation

Zhi-Sheng Qiu, Xiao-Chun Wang, Ji-Chun Ma, Cheng-Lou Zhu, Yong-Li Hu, Ming-Xu Da

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2025. 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
–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

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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.

  1. Article
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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

6 authors.

Zhi-Sheng QiuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Xiao-Chun WangDepartment of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China.
Ji-Chun MaDepartment of Oncology Surgery, Gansu Provincial Hospital, Lanzhou 730000, Gansu Province, China.
Cheng-Lou ZhuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Yong-Li HuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Ming-Xu DaThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer (PC) remains one of the most aggressive malignancies, is characterized by rapid progression and high metastatic potential, and is the fourth leading cause of cancer-related mortality worldwide. The incidence and mortality rates of PC continue to rise annually. Despite advances in imaging technologies and treatment strategies over the past two decades, the 5-year survival rate for patients with PC remains low, at approximately 13%. Patients with advanced PC still experience dismal outcomes, primarily due to the tumor's aggressiveness and high metastatic capacity. Thus, there is an urgent need to identify reliable molecular biomarkers and therapeutic targets to improve the prognosis of patients with PC.

aimTo investigate the biological functions and mechanisms of DEAD/H-box RNA helicase 10 (DDX10) in PC progression.

methodsWe comprehensively investigated the expression pattern and functional significance of DDX10 in PC using a multi-omics integrative approach. We performed bioinformatics analyses of datasets from The Cancer Genome Atlas and Gene Expression Omnibus, tissue microarray-based immunohistochemistry, and a series of

resultsDDX10 was found to be significantly overexpressed at both the mRNA and protein levels in PC tissues compared with adjacent non-tumor tissues. Silencing DDX10

conclusionCollectively, our findings indicate that DDX10 promotes PC cell proliferation primarily by upregulating RRM2, thus highlighting its potential as a promising therapeutic target in PC.

Indexed as

DEAD-box RNA helicase 10InvasionMigrationPancreatic cancer proliferationRRM2

Identifiers

PMID40977667
PMCPMC12444323

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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.