Evidence map›Paper›PMID 18778559›Full record

ReviewCurrent oncology reports2008

Personalized therapy of sarcomas: integration of biomarkers for improved diagnosis, prognosis, and therapy selection.

Joseph A Ludwig

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Joseph A LudwigLaboratory of Sarcoma Molecular Therapeutics, Department of Sarcoma Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Unit 450, 1515 Holcombe Boulevard, Houston, TX 77030, USA. jaludwig@mdanderson.org

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An improved understanding of cancer's molecular diversity at the genetic, proteomic, and epigenetic levels has made it evident that "sarcoma" comprises more than 50 different types, each as unique as, for example, breast carcinoma is from colon carcinoma. Sarcomas exhibit characteristic differences in cell of origin, disease site, likelihood and site of metastasis, growth propensity, and chemosensitivity. Additionally, as many as one third of sarcomas harbor specific chromosomal translocations that can be used to discriminate one subtype from another. Although biomarkers can be integrated into clinical practice to improve diagnostic accuracy and predict treatment response, a number of challenges hinder their widespread use. This review addresses the current use of biomarkers for clinical oncology, with special emphasis on diagnosis, staging, and grading. It also discusses types of biomarkers that are emerging to aid selection of therapy for patients with sarcoma. Finally, we consider practical factors that appear to limit biomarker integration into clinical practice.

Indexed as

SarcomaBiomarkers, TumorHumansPrognosisSoft Tissue NeoplasmsBiomarkers, Tumor

Identifiers

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.