Evidence map›Paper›PMID 35805014›Full record

ArticleCancers2022

Development of a Single Molecule Counting Assay to Differentiate Chromophobe Renal Cancer and Oncocytoma in Clinics.

Khaled Bin Satter, Zach Ramsey, Paul M H Tran, Diane Hopkins, Gregory Bearden, Katherine P Richardson, Martha K Terris, Natasha M Savage, Sravan K Kavuri, Sharad Purohit

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Khaled Bin SatterCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.ORCID 0000-0002-2344-3002
Zach RamseyDepartment of Pathology, Medical College of Georgia, Augusta University, 1120 15th St., Augusta, GA 30912, USA.
Paul M H TranCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.ORCID 0000-0003-2197-4376
Diane HopkinsCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.
Gregory BeardenCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.
Katherine P RichardsonCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.
Martha K TerrisDepartment of Urology, Medical College of Georgia, Augusta University, 1120 15th St., Augusta, GA 30912, USA.
Natasha M SavageDepartment of Pathology, Medical College of Georgia, Augusta University, 1120 15th St., Augusta, GA 30912, USA.
Sravan K KavuriDepartment of Pathology, Medical College of Georgia, Augusta University, 1120 15th St., Augusta, GA 30912, USA.
Sharad PurohitCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, 1120, 15th St., Augusta, GA 30912, USA.ORCID 0000-0003-0385-3829

Funding

Deep Learning Based Genetic Risk Prediction for Type 1 DiabetesF30DK121461 · NIDDK · AUGUSTA UNIVERSITY · PI TRAN, PAUL · 2019 to 2021
$123k
NIDDK NIH HHS F30 DK121461NIH HHS F30DK121461
6 · The paper itself

Abstract

Malignant chromophobe renal cancer (chRCC) and benign oncocytoma (RO) are two renal tumor types difficult to differentiate using histology and immunohistochemistry-based methods because of their similarity in appearance. We previously developed a transcriptomics-based classification pipeline with "Chromophobe-Oncocytoma Gene Signature" (COGS) on a single-molecule counting platform. Renal cancer patients (

Indexed as

chromophobeclassificationkidney neoplasmsoncocytomasupervised machine learning

Identifiers

PMID35805014
PMCPMC9265083

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.