Evidence map›Paper›PMID 35454137›Full record

ReviewBiomolecules2022

Advanced Strategies for Therapeutic Targeting of Wild-Type and Mutant p53 in Cancer.

Shengliang Zhang, Lindsey Carlsen, Liz Hernandez Borrero, Attila A Seyhan, Xiaobing Tian, Wafik S El-Deiry

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2022. 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
5.7field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Review
  3. The Role of CRISPR and Its Therapeutic Applications in Glioblastoma.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. The role and application prospects of ANXA1 in gastric cancer cells.Medical oncology (Northwood, London, England) · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. International journal of molecular sciences · 2025
    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

6 authors at 1 institution in 1 country.

Shengliang ZhangLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.
Lindsey CarlsenLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.ORCID 0000-0003-0512-1760
Liz Hernandez BorreroLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.
Attila A SeyhanLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.ORCID 0000-0003-1276-8466
Xiaobing TianLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.
Wafik S El-DeiryLaboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-9577-8266
Brown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

NeoplasmsTumor Suppressor Protein p53Cell DeathHumansMutant ProteinsMutationMutant ProteinsTumor Suppressor Protein p53cancerimmunotherapymutant p53P53targeting therapy

Identifiers

PMID35454137
PMCPMC9029346
OpenAlexW4225991048

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.