Evidence map›Paper›PMID 32118036›Full record

ArticleFrontiers in molecular biosciences2020

DETECTing Merkel Cell Polyomavirus in Merkel Tumors.

Reety Arora, Komal Gupta, Anjali Vijaykumar, Sudhir Krishna

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

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

4 authors at 3 institutions in 1 country.

Reety AroraNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bangalore, India.
Komal GuptaNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bangalore, India.
Anjali VijaykumarNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bangalore, India.
Sudhir KrishnaNational Centre for Biological Sciences, Tata Institute of Fundamental Research (TIFR), Bangalore, India.
National Centre for Biological Sciences · INIndian Institute of Science Education and Research Pune · INTata Institute of Fundamental Research · IN

Funding

Wellcome Trust
6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is a rare, aggressive skin cancer caused either by Merkel cell polyomavirus (MCV) T antigen expression, post-integration (~80% cases), or by UV-mediated DNA damage. Interestingly, overall survival of MCV-positive Merkel cell carcinoma patients is better, making this differential information of significant diagnostic and prognostic value. Also, MCV provides a direct target for therapy in MCC patients. Currently, the methods used for diagnosis of MCV in tumors are often discordant and unreliable. Here we used a guided molecular scissors based-DNA Endonuclease Targeted CRISPR Trans Reporter (DETECTR) technique to develop an

Indexed as

Cas12aCRISPRCRISPR diagnosisDETECTRMerkel cell carcinomaMerkel cell polyomavirus (MCPyV)Merkel tumorsmolecular diagnosis

Identifiers

PMID32118036
PMCPMC7011098
OpenAlexW3004997025

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.