Evidence map›Paper›PMID 35347591›Full record

ReviewCurrent oncology reports2022

Integrating Precision Medicine into the Contemporary Management of Gynecologic Cancers.

Juliet E Wolford, Erin Ferrigni, Daniel Margul, Thomas J Herzog

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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 1 institution in 1 country.

Juliet E WolfordDivision of Gynecologic Oncology, University of Cincinnati, Cincinnati, OH, USA.
Erin FerrigniDivision of Gynecologic Oncology, University of Cincinnati, Cincinnati, OH, USA.
Daniel MargulDivision of Gynecologic Oncology, University of Cincinnati, Cincinnati, OH, USA.
Thomas J HerzogDivision of Gynecologic Oncology, University of Cincinnati, Cincinnati, OH, USA. thomas.herzog@uc.edu.
University of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe treatment of patients with advanced gynecologic malignancies remains challenging. Advancements in genomics have led to recognition and development of individualized therapeutic targets. This article reviews the current trends in precision medicine for treatment of gynecologic cancers. RECENT

findingsWith the identification of the molecular aberrations inherent to gynecologic malignancies, we have discovered targetable mutations. Specific to ovarian, endometrial and cervical cancers, potential therapeutic targets that have been identified and shown to have benefit include: hormonal therapies, anti-angiogenic agents, poly-ADP-ribose polymerase inhibitors (PARPi), and immunotherapy. The adoption of targeted therapeutics for the treatment of gynecologic cancers has been gradual, but we have started to see the rapid employment of novel targeted agents into clinical trial development, leading to new treatment approvals. However, there are challenges to the universal precision medicine implementation, and future studies need to identify, discover, and validate robust biomarkers with strong prognostic/predictive capabilities.

Indexed as

Antineoplastic AgentsGenital Neoplasms, FemaleOvarian NeoplasmsUterine Cervical NeoplasmsFemaleHumansPoly(ADP-ribose) Polymerase InhibitorsPrecision MedicineAntineoplastic AgentsPoly(ADP-ribose) Polymerase InhibitorsCervical cancerEndometrial cancerGynecologic cancersOvarian cancerPersonalized medicinePrecision medicine

Identifiers

PMID35347591
OpenAlexW4220772673

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.