Evidence map›Paper›PMID 34827663›Full record

ReviewBiomolecules2021

LncRNAs: Novel Biomarkers for Pancreatic Cancer.

Soudeh Ghafouri-Fard, Mohadeseh Fathi, Tianyue Zhai, Mohammad Taheri, Peixin Dong

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Emerging biomarkers for pancreatic cancer: from early detection to personalized therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  5. Review
  6. PTBP1 and Cancer: From RNA Regulation to Therapeutic Potential.Journal of cellular and molecular medicine · 2025
    Review
  7. Article
  8. Review
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  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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.

Soudeh Ghafouri-FardDepartment of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran 1983535511, Iran.ORCID 0000-0002-0223-499X
Mohadeseh FathiMen's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran 1983535511, Iran.
Tianyue ZhaiDepartment of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, N15, W7, Kita-ku, Sapporo 0608638, Japan.ORCID 0000-0003-2204-4998
Mohammad TaheriSkull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran 1983535511, Iran.ORCID 0000-0001-8381-0591
Peixin DongDepartment of Obstetrics and Gynecology, Hokkaido University School of Medicine, Hokkaido University, N15, W7, Kita-ku, Sapporo 0608638, Japan.ORCID 0000-0002-2335-1394
Shahid Beheshti University of Medical Sciences · IRHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is one of the most deadly neoplasms and the seventh major cause of cancer-related deaths among both males and females. This cancer has a poor prognosis due to the lack of appropriate methods for early detection of cancer. Long non-coding RNAs (lncRNAs) have been recently found to influence the progression and initiation of pancreatic cancer. MACC1-AS1, LINC00976, LINC00462, LINC01559, HOXA-AS2, LINC00152, TP73-AS1, XIST, SNHG12, LUCAT1, and UCA1 are among the oncogenic lncRNAs in pancreatic cancer. On the other hand, LINC01111, LINC01963, DGCR5, MEG3, GAS5, and LINC00261 are among tumor suppressor lncRNAs in this tissue. In the current review, we summarize the roles of these two classes of lncRNAs in pancreatic cancer and discuss their potential as attractive diagnostic and prognostic biomarkers for pancreatic cancer. We also identified that the low expression of MEG3, LINC01963, and LINC00261 and the high expression of MACC1-AS1, LINC00462, LINC01559, and UCA1 were significantly correlated with worse survival in pancreatic cancer patients. Further research on these lncRNAs will provide new clues that could potentially improve the early diagnosis, prognostic prediction, and personalized treatments of patients with pancreatic cancer.

Indexed as

Biomarkers, TumorPancreatic NeoplasmsRNA, Long NoncodingGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorRNA, Long NoncodingbiomarkerdiagnosislncRNAspancreatic cancerprognosis

Identifiers

PMID34827663
PMCPMC8615627
OpenAlexW3212581192

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.