Evidence map›Paper›PMID 18422373›Full record

ReviewMolecular diagnosis & therapy2008

The role of molecular markers in predicting response to therapy in patients with colorectal cancer.

Veena Shankaran, Kari B Wisinski, Mary F Mulcahy, Al B Benson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
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  9. Review
  10. Evolution of nonsurgical therapy for colorectal cancer.Nature clinical practice. Gastroenterology & hepatology · 2009
    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

4 authors at 1 institution in 1 country.

Veena ShankaranRobert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine at Northwestern University, Chicago, Illinois, USA.
Kari B Wisinski
Mary F Mulcahy
Al B Benson
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in systemic therapy for colorectal cancer have dramatically improved prognosis. While disease stage has traditionally been the main determinant of disease course, several molecular characteristics of tumor specimens have recently been shown to have prognostic significance. Although to date no molecular characteristics have emerged as consistent predictors of response to therapy, retrospective studies have investigated the role of a variety of biomarkers, including microsatellite instability, loss of heterozygosity of 18q, type II transforming growth factor beta receptor, thymidylate synthase, epidermal growth factor receptor, and Kirsten-ras (KRAS). This paper reviews the current literature, ongoing prospective studies evaluating the role of these markers, and novel techniques such as gene profiling, which may help to uncover the more complex molecular interactions that will predict response to chemotherapy in patients with colorectal cancer.

Indexed as

AlgorithmsAntibody-Dependent Cell CytotoxicityBiomarkers, TumorChromosomes, Human, Pair 18Clinical Trials as TopicColorectal NeoplasmsDihydrouracil Dehydrogenase (NADP)FluorouracilGene Expression Regulation, NeoplasticGenes, erbB-1Genes, rasHumansLoss of HeterozygosityMicrosatellite InstabilityPrognosisProtein Serine-Threonine KinasesBiomarkers, TumorDihydrouracil Dehydrogenase (NADP)FluorouracilProtein Serine-Threonine KinasesReceptors, Transforming Growth Factor betaReceptor, Transforming Growth Factor-beta Type IIThymidine PhosphorylaseThymidylate Synthase

Identifiers

PMID18422373
OpenAlexW2032207741

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.