Evidence map›Paper›PMID 34103990›Full record

ReviewCancer management and research2021

The Functional Hallmarks of Cancer Predisposition Genes.

Alexandra Capellini, Matthew Williams, Kenan Onel, Kuan-Lin Huang

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

Review in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Liquid biopsy-based early tumor and minimal residual disease detectionMedizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  6. Review
  7. Article
  8. 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 1 institution in 1 country.

Alexandra Capellini *Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA, New York, NY, 10029, USA.
Matthew Williams *Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA, New York, NY, 10029, USA.
Kenan OnelDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA, New York, NY, 10029, USA.
Kuan-Lin HuangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, USA, New York, NY, 10029, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

Integrative Approaches for Identifying Causal Gene-Cell Type Pairs of Complex DiseaseR35GM138113 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kuan-lin Huang · 2020 to 2026
$3.0M
NIGMS NIH HHS R35 GM138113
6 · The paper itself

Abstract

The canonical model for hereditary cancer predisposition is a cancer predisposition gene (CPG) that drives either one or both of two fundamental hallmarks of cancer, defective genomic integrity and deregulated cell proliferation, ultimately resulting in the accumulation of mutations within cells. Thus, the genes most commonly associated with cancer-predisposing genetic syndromes are tumor suppressor genes that regulate DNA repair (eg,

Indexed as

cancergeneticsgenomicsmulti-omicsoncogenesispredisposition

Identifiers

PMID34103990
PMCPMC8179747
OpenAlexW3167209166

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.