Evidence map›Paper›PMID 35079034›Full record

ArticleScientific reports2022

Predicting clinical outcomes of cancer patients with a p53 deficiency gene signature.

Evelien Schaafsma, Eric M Takacs, Sandeep Kaur, Chao Cheng, Manabu Kurokawa

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  9. JCO precision oncology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Deep learning algorithm on H&E whole slide images to characterizeComputational and structural biotechnology journal · 2024
    Article
  14. Review
  15. Review
  16. Article
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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

5 authors.

Evelien SchaafsmaDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA.
Eric M TakacsDepartment of Biological Sciences, Kent State University, Kent, OH, 44242, USA.
Sandeep KaurDepartment of Biological Sciences, Kent State University, Kent, OH, 44242, USA.
Chao ChengDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, 03755, USA. Chao.Cheng@bcm.edu.ORCID http://orcid.org/0000-0002-5002-3417
Manabu KurokawaDepartment of Biological Sciences, Kent State University, Kent, OH, 44242, USA. mkurokaw@kent.edu.ORCID http://orcid.org/0000-0002-4138-5934

Funding

IMMUNOBIOLOGY OF MYELOID AND LYMPHOID CELLST32AI007363 · NIAID · DARTMOUTH COLLEGE · PI Claudia V Jakubzick · 1990 to 2026
$9.5M
Molecular mechanisms of chemoresistance in breast cancerR00CA140948 · NCI · DARTMOUTH COLLEGE · PI KUROKAWA, MANABU · 2012 to 2014
$708k
Computational Identification of new candidate drugs for lung cancer treatmentR21CA227996 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHENG, CHAO, ONEGA, TRACY · 2019 to 2020
$397k
Role of CD36 in Breast TumorsR03CA208384 · NCI · KENT STATE UNIVERSITY · PI KUROKAWA, MANABU · 2017 to 2018
$150k
Defining the in vivo role of Huwe1 in p53 regulationR03CA230828 · NCI · KENT STATE UNIVERSITY · PI KUROKAWA, MANABU · 2018 to 2019
$150k
CPRIT RR180061NCI NIH HHS R00 CA140948NCI NIH HHS R00CA140948NCI NIH HHS R03 CA208384NCI NIH HHS R03 CA230828NCI NIH HHS R21 CA227996NCI NIH HHS R21CA227996NIAID NIH HHS T32 AI007363
6 · The paper itself

Abstract

The tumor suppressor p53, encoded by the TP53 gene, is mutated or nullified in nearly 50% of human cancers. It has long been debated whether TP53 mutations can be utilized as a biomarker to predict clinical outcomes of cancer patients. In this study, we applied computational methods to calculate p53 deficiency scores (PDSs) that reflect the inactivation of the p53 pathway, instead of TP53 mutation status. Compared to TP53 mutation status, the p53 deficiency gene signature is a powerful predictor of overall survival and drug sensitivity in a variety of cancer types and treatments. Interestingly, the PDSs predicted clinical outcomes more accurately than drug sensitivity in cell lines, suggesting that tumor heterogeneity and/or tumor microenvironment may play an important role in predicting clinical outcomes using p53 deficiency gene signatures.

Indexed as

Genes, p53Mutation RateDrug Resistance, NeoplasmGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansKaplan-Meier EstimateNeoplasmsPrognosisSurvival RateTranscriptomeTumor MicroenvironmentTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID35079034
PMCPMC8789768

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Registered trials

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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.