Evidence map›Paper›PMID 29454261›Full record

ArticleNeoplasia (New York, N.Y.)2018

Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing.

Zahra Shajani-Yi, Francine B de Abreu, Jason D Peterson, Gregory J Tsongalis

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.5field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Whole exome sequencing in relapsed or refractory childhood cancer: case series.Asian biomedicine : research, reviews and news · 2024
    Article
  11. A Synopsis of Biomarkers in Glioblastoma: Past and Present.Current issues in molecular biology · 2024
    Review
  12. Article
  13. Article
  14. Impact ofJournal of radiosurgery and SBRT · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Genomic landscape and prognosis of patients withAnnals of translational medicine · 2022
    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

4 authors at 2 institutions in 1 country.

Zahra Shajani-YiDepartment of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center and Norris Cotton Cancer Center, Lebanon, NH; The Theodore and Audrey Geisel School of Medicine at Dartmouth, Hanover, NH.
Francine B de AbreuDepartment of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center and Norris Cotton Cancer Center, Lebanon, NH; The Theodore and Audrey Geisel School of Medicine at Dartmouth, Hanover, NH.
Jason D PetersonDepartment of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center and Norris Cotton Cancer Center, Lebanon, NH; The Theodore and Audrey Geisel School of Medicine at Dartmouth, Hanover, NH.
Gregory J TsongalisDepartment of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center and Norris Cotton Cancer Center, Lebanon, NH; The Theodore and Audrey Geisel School of Medicine at Dartmouth, Hanover, NH. Electronic address: Gregory.J.Tsongalis@hitchcock.org.
Dartmouth College · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

The tumor suppressor gene TP53 is the most frequently mutated gene in human cancer. It encodes p53, a DNA-binding transcription factor that regulates multiple genes involved in DNA repair, metabolism, cell cycle arrest, apoptosis, and senescence. TP53 is associated with human cancer by mutations that lead to a loss of wild-type p53 function as well as mutations that confer alternate oncogenic functions that enable them to promote invasion, metastasis, proliferation, and cell survival. Identifying the discrete TP53 mutations in tumor cells may help direct therapies that are more effective. In this study, we identified the frequency of individual TP53 mutations in patients with colon adenocarcinoma (48%), non-small cell lung carcinoma (NSCLC) (36%), and glioma/glioblastoma (28%) at our institution using next-generation sequencing. We also identified the occurrence of somatic mutations in numerous actionable genes including BRAF, EGFR, KRAS, IDH1, and PIK3CA that occurred concurrently with these TP53 mutations. Of the 480 tumors examined that contained one or more mutations in the TP53 gene, 219 were colon adenocarcinomas, 215 were NSCLCs, and 46 were gliomas/glioblastomas. Among the patients positive for TP53 mutations diagnosed with colon adenocarcinoma, 50% also showed at least one mutation in pathogenic genes of which 14% were BRAF, 33% were KRAS, and 3% were NRAS. Forty-seven percent of NSCLC patients harboring TP53 mutations also had a mutation in at least one actionable pathogenic variant with the following frequencies: BRAF: 4%, EGFR: 10%, KRAS: 28%, and PIK3CA: 4%. Fifty-two percent of patients diagnosed with glioma/glioblastoma with a positive TP53 mutation had at least one concurrent mutation in a known pathogenic gene of which 9% were CDKN2A, 41% were IDH1, and 11% were PIK3CA.

Indexed as

AdenocarcinomaCarcinoma, Non-Small-Cell LungColonic NeoplasmsGliomaHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMutationTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID29454261
PMCPMC5849803
OpenAlexW2790695210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.