Evidence map›Paper›PMID 25939540›Full record

ReviewCurrent treatment options in oncology2015

Role of genetic and molecular profiling in sarcomas.

Scott M Norberg, Sujana Movva

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The role of molecular pathology in mediastinal sarcomas.Mediastinum (Hong Kong, China) · 2020
    Review
  6. Article
  7. Article
  8. Molecular profiling of sarcomas: new vistas for precision medicine.Virchows Archiv : an international journal of pathology · 2017
    Review
  9. Review
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

2 authors at 2 institutions in 1 country.

Scott M NorbergDepartment of Internal Medicine, Temple University Hospital, 3401 North Broad Street, Philadelphia, PA, 19140, USA, scott.norberg@tuhs.temple.edu.
Sujana Movva
Fox Chase Cancer Center · USTemple University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementThe treatment of sarcomas has been challenging due to their heterogeneity, rarity in the general population, relative insensitivity to chemotherapeutics, and lack of effective targeted agents. One of the first major breakthroughs in the treatment of sarcomas was the use of imatinib to treat gastrointestinal stromal tumors (GISTs). Since then, advanced molecular techniques and genetic profiling have revolutionized the approach to sarcoma classification, diagnosis, prognosis and, most importantly, treatment. As the sarcoma genetic database continues to expand, the basis for how we classify, diagnose, and treat these challenging malignancies will be redefined. The overall goal of these types of techniques has been to determine a molecular blueprint for each sarcoma subtype and discover actionable alterations that lend themselves to targeted therapies. Other important information derived from these large genomic databases includes biomarkers, prognostic indicators, and information regarding tumorigenesis. Eventually, advanced molecular techniques will provide a personalized-medicine approach that tailors each treatment regimen to the patient's own tumor genome.

Indexed as

Antineoplastic AgentsGastrointestinal Stromal TumorsGene Expression ProfilingHumansImatinib MesylateMolecular Targeted TherapyPrecision MedicinePrognosisSarcomaAntineoplastic AgentsImatinib Mesylate

Identifiers

PMID25939540
OpenAlexW1913660677

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.