Evidence map›Paper›PMID 33672926›Full record

ReviewJournal of personalized medicine2021

Current State of "Omics" Biomarkers in Pancreatic Cancer.

Beste Turanli, Esra Yildirim, Gizem Gulfidan, Kazim Yalcin Arga, Raghu Sinha

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06807112 (The Influence of Secretin Stimulated Pancreatic Secretion on Circulating Tumor DNA Expression in Patients With Pancreatic Ductal Adenocarcinoma), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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.

NCT06807112 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Influence of Secretin Stimulated Pancreatic Secretion on Circulating Tumor DNA Expression in Patients With Pancreatic Ductal Adenocarcinoma: The Role of Biomarkers in Determining the Prognosis of Pancreatic Ductal Adenocarcinoma

TypeobservationalSponsorCharles University, Czech RepublicRan2025 to 2027Enrolled39ConditionsPancreatic Adenocarcinoma, Pancreatic CancerArmsIntravenously administered secretin
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  5. Catching pancreatic cancer early: Are we there yet?Journal of the National Cancer Center · 2026
    Review
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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 2 institutions in 2 countries.

Beste TuranliDepartment of Bioengineering, Marmara University, 34722 Istanbul, Turkey.ORCID 0000-0003-1330-9712
Esra YildirimDepartment of Bioengineering, Marmara University, 34722 Istanbul, Turkey.
Gizem GulfidanDepartment of Bioengineering, Marmara University, 34722 Istanbul, Turkey.ORCID 0000-0003-4150-0012
Kazim Yalcin ArgaDepartment of Bioengineering, Marmara University, 34722 Istanbul, Turkey.ORCID 0000-0002-6036-1348
Raghu SinhaDepartment of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA 17033, USA.ORCID 0000-0001-9083-8533
Marmara University · TRPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the most fatal malignancies and the seventh leading cause of cancer-related deaths related to late diagnosis, poor survival rates, and high incidence of metastasis. Unfortunately, pancreatic cancer is predicted to become the third leading cause of cancer deaths in the future. Therefore, diagnosis at the early stages of pancreatic cancer for initial diagnosis or postoperative recurrence is a great challenge, as well as predicting prognosis precisely in the context of biomarker discovery. From the personalized medicine perspective, the lack of molecular biomarkers for patient selection confines tailored therapy options, including selecting drugs and their doses or even diet. Currently, there is no standardized pancreatic cancer screening strategy using molecular biomarkers, but CA19-9 is the most well known marker for the detection of pancreatic cancer. In contrast, recent innovations in high-throughput techniques have enabled the discovery of specific biomarkers of cancers using genomics, transcriptomics, proteomics, metabolomics, glycomics, and metagenomics. Panels combining CA19-9 with other novel biomarkers from different "omics" levels might represent an ideal strategy for the early detection of pancreatic cancer. The systems biology approach may shed a light on biomarker identification of pancreatic cancer by integrating multi-omics approaches. In this review, we provide background information on the current state of pancreatic cancer biomarkers from multi-omics stages. Furthermore, we conclude this review on how multi-omics data may reveal new biomarkers to be used for personalized medicine in the future.

Indexed as

biomarkergenomicsglycomicsmetabolomicsmetagenomicsomicspancreatic cancerpersonalized medicineproteomicssystems biologytranscriptomics

Identifiers

PMID33672926
PMCPMC7918884
OpenAlexW3131984138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.