Evidence map›Paper›PMID 33593396›Full record

ReviewMolecular cancer2021

Coupled liquid biopsy and bioinformatics for pancreatic cancer early detection and precision prognostication.

Jun Hou, XueTao Li, Ke-Ping Xie

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.9field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 84 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Jun HouThe South China University of Technology School of Medicine, 510006, Guangzhou, China.
XueTao LiThe South China University of Technology School of Medicine, 510006, Guangzhou, China.
Ke-Ping XieThe University of Texas MD Anderson Cancer Center Houston , Texas, USA. Kepingxie@gmail.com.
South China University of Technology · CNThe University of Texas MD Anderson Cancer Center · US

Funding

Natural Science Foundation of China 82072632
6 · The paper itself

Abstract

Early detection and diagnosis are the key to successful clinical management of pancreatic cancer and improve the patient outcome. However, due to the absence of early symptoms and the aggressiveness of pancreatic cancer, its 5-year survival rate remains below 5 %. Compared to tissue samples, liquid biopsies are of particular interest in clinical settings with respect to minimal invasiveness, repeated sampling, complete representation of the entire or multi-site tumor bulks. The potential of liquid biopsies in pancreatic cancer has been demonstrated by many studies which prove that liquid biopsies are able to detect early emergency of pancreatic cancer cells, residual disease, and recurrence. More interestingly, they show potential to delineate the heterogeneity, spatial and temporal, of pancreatic cancer. However, the performance of liquid biopsies for the diagnosis varies largely across different studies depending of the technique employed and also the type and stage of the tumor. One approach to improve the detect performance of liquid biopsies is to intensively inspect circulome and to define integrated biomarkers which simultaneously profile circulating tumor cells and DNA, extracellular vesicles, and circulating DNA, or cell free DNA and proteins. Moreover, the diagnostic validity and accuracy of liquid biopsies still need to be comprehensively demonstrated and validated.

Indexed as

Biomarkers, TumorCirculating Tumor DNAComputational BiologyEarly Detection of CancerHumansLiquid BiopsyNeoplastic Cells, CirculatingPancreatic NeoplasmsPrecision MedicineSurvival AnalysisBiomarkers, TumorCirculating Tumor DNABioinformaticsCirculomeDiagnosisLiquid biopsyPancreatic cancerPrognosis

Identifiers

PMID33593396
PMCPMC7888169
OpenAlexW3133378421

What OpenQuestion holds

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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.