Evidence map›Paper›PMID 35216204›Full record

ReviewInternational journal of molecular sciences2022

Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review.

Christina Jane Vellan, Jaime Jacqueline Jayapalan, Boon-Koon Yoong, Azlina Abdul-Aziz, Sarni Mat-Junit, Perumal Subramanian

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Proteomics and Metabolomics in Biomedicine.International journal of molecular sciences · 2023
    Article
  5. Article
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 at 2 institutions in 2 countries.

Christina Jane VellanDepartment of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Jaime Jacqueline JayapalanDepartment of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.ORCID 0000-0001-6708-1800
Boon-Koon YoongDepartment of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Azlina Abdul-AzizDepartment of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Sarni Mat-JunitDepartment of Molecular Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Perumal SubramanianDepartment of Biochemistry and Biotechnology, Annamalai University, Chidambaram 608002, Tamil Nadu, India.ORCID 0000-0003-0908-8232
University of Malaya · MYAnnamalai University · IN

Funding

Fundamental Research Grant Scheme, Ministry of Higher Education, Malaysia FRGS/1/2019/SKK08/UM/02/16Geran Penyelidikan Fakulti, Faculty of Medicine, University of Malaya GPF001C-2019
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignancy with a poor prognosis is usually detected at the advanced stage of the disease. The only US Food and Drug Administration-approved biomarker that is available for PDAC, CA 19-9, is most useful in monitoring treatment response among PDAC patients rather than for early detection. Moreover, when CA 19-9 is solely used for diagnostic purposes, it has only a recorded sensitivity of 79% and specificity of 82% in symptomatic individuals. Therefore, there is an urgent need to identify reliable biomarkers for diagnosis (specifically for the early diagnosis), ascertain prognosis as well as to monitor treatment response and tumour recurrence of PDAC. In recent years, proteomic technologies are growing exponentially at an accelerated rate for a wide range of applications in cancer research. In this review, we discussed the current status of biomarker research for PDAC using various proteomic technologies. This review will explore the potential perspective for understanding and identifying the unique alterations in protein expressions that could prove beneficial in discovering new robust biomarkers to detect PDAC at an early stage, ascertain prognosis of patients with the disease in addition to monitoring treatment response and tumour recurrence of patients.

Indexed as

AdenocarcinomaBiomarkers, TumorCA-19-9 AntigenCarcinoma, Pancreatic DuctalHumansPancreatic NeoplasmsPrognosisProteomicsBiomarkers, TumorCA-19-9 AntigenbiomarkersCA 19-9diagnosismonitoring of treatment responsepancreatic ductal adenocarcinomaprognosisproteomicstumour recurrence

Identifiers

PMID35216204
PMCPMC8879036
OpenAlexW4212880827

What Socratic holds

Textmetadata
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 Socratic graph.