Evidence map›Paper›PMID 33046797›Full record

ReviewOncogene2020

Molecular tracing of prostate cancer lethality.

Yuanshuo Alice Wang, John Sfakianos, Ashutosh K Tewari, Carlos Cordon-Cardo, Natasha Kyprianou

Open access · greenAbstract readReview
In one paragraph

Review in Oncogene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Prostate cancer theragnostics biomarkers: An update.Investigative and clinical urology · 2024
    Review
  7. Comparison of discovery rates and prognostic utility of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Cells · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors at 1 institution in 1 country.

Yuanshuo Alice WangDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
John SfakianosDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Ashutosh K TewariDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Carlos Cordon-CardoTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Natasha KyprianouDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. natasha.kyprianou@mountsinai.org.ORCID http://orcid.org/0000-0002-8713-3599
Icahn School of Medicine at Mount Sinai · US

Funding

Treatment-Induced Phenotypic Reprogramming in Prostate CancerR01CA232574 · NCI · UNIVERSITY OF KENTUCKY · PI KYPRIANOU, NATASHA · 2019 to 2023
$2.2M
NCI NIH HHS R01 CA232574
6 · The paper itself

Abstract

Prostate cancer is diagnosed mostly in men over the age of 50 years, and has favorable 5-year survival rates due to early cancer detection and availability of curative surgical management. However, progression to metastasis and emergence of therapeutic resistance are responsible for the majority of prostate cancer mortalities. Recent advancement in sequencing technologies and computational capabilities have improved the ability to organize and analyze large data, thus enabling the identification of novel biomarkers for survival, metastatic progression and patient prognosis. Large-scale sequencing studies have also uncovered genetic and epigenetic signatures associated with prostate cancer molecular subtypes, supporting the development of personalized targeted-therapies. However, the current state of mainstream prostate cancer management does not take full advantage of the personalized diagnostic and treatment modalities available. This review focuses on interrogating biomarkers of prostate cancer progression, including gene signatures that correspond to the acquisition of tumor lethality and those of predictive and prognostic value in progression to advanced disease, and suggest how we can use our knowledge of biomarkers and molecular subtypes to improve patient treatment and survival outcomes.

Indexed as

Drug Resistance, NeoplasmHumansMalePrognosisProstatic Neoplasms

Identifiers

PMID33046797
PMCPMC7880612
OpenAlexW3092150008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.