Evidence map›Paper›PMID 29572430›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Rlip depletion prevents spontaneous neoplasia in TP53 null mice.

Sanjay Awasthi, Joshua Tompkins, Jyotsana Singhal, Arthur D Riggs, Sushma Yadav, Xiwei Wu, Sharda Singh, Charles Warden, Zheng Liu, Jinhui Wang and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Rlip76: An Unexplored Player in Neurodegeneration and Alzheimer's Disease?International journal of molecular sciences · 2022
    Review
  6. Fixing the GAP: The role of RhoGAPs in cancer.European journal of cell biology · 2022
    Review
  7. Article
  8. Rlip Protein: A Potential Target for COVID-19.Journal of community hospital internal medicine perspectives · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Activating p53 function by targeting RLIP.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

17 authors at 3 institutions in 1 country.

Sanjay AwasthiDivision of Hematology & Oncology, Department of Internal Medicine, Texas Tech Health Sciences Center, Lubbock, TX 79430-9410; sanjay.awasthi@ttuhsc.edu ariggs@coh.org.
Joshua TompkinsDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Jyotsana SinghalDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Arthur D RiggsDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010; sanjay.awasthi@ttuhsc.edu ariggs@coh.org.
Sushma YadavDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Xiwei WuIntegrative Genomics Core, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Sharda SinghDivision of Hematology & Oncology, Department of Internal Medicine, Texas Tech Health Sciences Center, Lubbock, TX 79430-9410.
Charles WardenIntegrative Genomics Core, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Zheng LiuBioinformatics Core, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Jinhui WangIntegrative Genomics Core, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Thomas P SlavinDivision of Clinical Cancer Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Jeffrey N WeitzelDivision of Clinical Cancer Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Yate-Ching YuanBioinformatics Core, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Meenakshi AwasthiDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
Satish K SrivastavaDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555-0647.
Yogesh C AwasthiDepartment of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX 77555-0647.
Sharad S SinghalDiabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010.
City of Hope · USThe University of Texas Medical Branch at Galveston · USTexas Tech University Health Sciences Center · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Chemoprevention of Colorectal Cancer by Aldose Reductase InhibitionR01CA129383 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI RAMANA, KOTA VENKATA · 2008 to 2017
$3.1M
MECHANISM OF DRUG TRANSPORT IN LUNG CANCER CELLSR01CA077495 · NCI · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI AWASTHI, SANJAY · 1998 to 2011
$2.8M
NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA077495NCI NIH HHS R01 CA129383
6 · The paper itself

Abstract

TP53 (p53) is a tumor suppressor whose functions are lost or altered in most malignancies. p53 homozygous knockout (p53

Indexed as

AnimalsApoptosisFemaleGTPase-Activating ProteinsHumansMaleMiceMice, Inbred C57BLMice, KnockoutNeoplasmsTumor Suppressor Protein p53Tumor Suppressor ProteinsGTPase-Activating ProteinsRalbp1 protein, mouseTumor Suppressor Protein p53Tumor Suppressor Proteinscancer preventioncancer signallingcytokineRALBP1TP53

Identifiers

PMID29572430
PMCPMC5899455
OpenAlexW2790875256

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.