Evidence map›Paper›PMID 33599893›Full record

ReviewMolecular and cellular biochemistry2021

Application of single-cell sequencing technologies in pancreatic cancer.

Mastan Mannarapu, Begum Dariya, Obul Reddy Bandapalli

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular and cellular biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. The Evolution of Next-Generation Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Laser Capture Microdissection: A Gear for Pancreatic Cancer Research.International journal of molecular sciences · 2022
    Review
  10. Prostate cancer in omics era.Cancer cell international · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
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

3 authors at 3 institutions in 2 countries.

Mastan MannarapuDepartment of Biotechnology, Dravidian University, Kuppam, Chittoor, Andra Pradesh, 517 426, India. mastanmadhav@yahoo.com.
Begum DariyaDepartment of Bioscience and Biotechnology, Banasthali University, Vanasthali, Rajasthan, 304022, India.
Obul Reddy BandapalliMedical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany. o.bandapalli@kitz-heidelberg.de.ORCID http://orcid.org/0000-0002-1132-1745
Banasthali University · INDravidian University · INGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) is the third lethal disease for cancer-related mortalities globally. This is mainly because of the aggressive nature and heterogeneity of the disease that is diagnosed only in their advanced stages. Thus, it is challenging for researchers and clinicians to study the molecular mechanism involved in the development of this aggressive disease. The single-cell sequencing technology enables researchers to study each and every individual cell in a single tumor. It can be used to detect genome, transcriptome, and multi-omics of single cells. The current single-cell sequencing technology is now becoming an important tool for the biological analysis of cells, to find evolutionary relationship between multiple cells and unmask the heterogeneity present in the tumor cells. Moreover, its sensitivity nature is found progressive enabling to detect rare cancer cells, circulating tumor cells, metastatic cells, and analyze the intratumor heterogeneity. Furthermore, these single-cell sequencing technologies also promoted personalized treatment strategies and next-generation sequencing to predict the disease. In this review, we have focused on the applications of single-cell sequencing technology in identifying cancer-associated cells like cancer-associated fibroblast via detecting circulating tumor cells. We also included advanced technologies involved in single-cell sequencing and their advantages. The future research indeed brings the single-cell sequencing into the clinical arena and thus could be beneficial for diagnosis and therapy of PC patients.

Indexed as

Sequence AnalysisSingle-Cell AnalysisTranscriptomeHumansPancreatic NeoplasmsCirculating tumor cellsIntratumor heterogeneityMetastasisPancreatic cancerSingle-cell sequencingTranscriptome

Identifiers

PMID33599893
PMCPMC8119256
OpenAlexW3130617412

What OpenQuestion 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 OpenQuestion graph.