Evidence map›Paper›PMID 27449973›Full record

ReviewCold Spring Harbor perspectives in medicine2016

Clinical Outcomes of TP53 Mutations in Cancers.

Ana I Robles, Jin Jen, Curtis C Harris

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Case Report:Frontiers in oncology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Frontiers in oncology · 2025
    Article
  13. Review
  14. Review
  15. Deep learning algorithm on H&E whole slide images to characterizeComputational and structural biotechnology journal · 2024
    Article
  16. Toward a Unified Theory of Why Young People Develop Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Article
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

3 authors.

Ana I RoblesLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.
Jin JenDepartment of Laboratory Medicine and Pathology, Division of Experimental Pathology, and Department of Medicine, Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota 55905.
Curtis C HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892.

Funding

p53, Aging, and CancerZIABC011496 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$21.1M
6 · The paper itself

Abstract

High-throughput sequencing of cancer genomes is increasingly becoming an essential tool of clinical oncology that facilitates target identification and targeted therapy within the context of precision medicine. The cumulative profiles of somatic mutations in cancer yielded by comprehensive molecular studies also constitute a fingerprint of historical exposures to exogenous and endogenous mutagens, providing insight into cancer evolution and etiology. Mutational signatures that were first established by inspection of the TP53 gene somatic landscape have now been confirmed and expanded by comprehensive sequencing studies. Further, the degree of granularity achieved by deep sequencing allows detection of low-abundance mutations with clinical relevance. In tumors, they represent the emergence of small aggressive clones; in normal tissues, they signal a mutagenic exposure related to cancer risk; and, in blood, they may soon become effective surveillance tools for diagnostic purposes and for monitoring of cancer prognosis and recurrence.

Indexed as

DNA Mutational AnalysisHigh-Throughput Nucleotide SequencingHumansMutationNeoplasm Recurrence, LocalNeoplasmsTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID27449973
PMCPMC5008065

What OpenQuestion holds

Textmetadata
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.