Evidence map›Paper›PMID 33333841›Full record

ArticleCancers2020

GAS2L1 Is a Potential Biomarker of Circulating Tumor Cells in Pancreatic Cancer.

Lei Zhu, Ke-Jia Kan, Johanna L Grün, Barbara Hissa, Cui Yang, Balázs Győrffy, Sonja Loges, Christoph Reißfelder, Sebastian Schölch

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  12. HumanInternational journal of biological sciences · 2022
    Article
  13. Article
  14. Pre-clinical Models of Metastasis in Pancreatic Cancer.Frontiers in cell and developmental biology · 2021
    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

9 authors at 3 institutions in 2 countries.

Lei ZhuJunior Clinical Cooperation Unit Translational Surgical Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0002-0060-1776
Ke-Jia KanDepartment of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.ORCID 0000-0002-6340-1990
Johanna L GrünDepartment of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.
Barbara HissaDepartment of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.ORCID 0000-0001-7618-2689
Cui YangDepartment of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.
Balázs GyőrffyDepartment of Bioinformatics and 2nd Department of Pediatrics, Semmelweis University, H-1094 Budapest, Hungary.
Sonja LogesDivision of Personalized Medical Oncology (A420), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Christoph ReißfelderDepartment of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany.ORCID 0000-0003-4591-1046
Sebastian SchölchJunior Clinical Cooperation Unit Translational Surgical Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0003-0012-3177
Heidelberg University · DEGerman Cancer Research Center · DESemmelweis University · HU

Funding

China Scholarship Council 201706230257China Scholarship Council 201908080072
6 · The paper itself

Abstract

Pancreatic cancer is a malignant disease with high mortality and a dismal prognosis. Circulating tumor cell (CTC) detection and characterization have emerged as essential techniques for early detection, prognostication, and liquid biopsy in many solid malignancies. Unfortunately, due to the low EPCAM expression in pancreatic cancer CTCs, no specific marker is available to identify and isolate this rare cell population. This study analyzed single-cell RNA sequencing profiles of pancreatic CTCs from a genetically engineered mouse model (GEMM) and pancreatic cancer patients. Through dimensionality reduction analysis, murine pancreatic CTCs were grouped into three clusters with different biological functions.

Indexed as

biomarkerscirculating tumor cellscomputational biologygenetically engineered mouse modelliquid biopsymicepancreatic ductal adenocarcinomapancreatic neoplasmssingle-cell RNA sequencing

Identifiers

PMID33333841
PMCPMC7765300
OpenAlexW3110882146

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.