Evidence map›Paper›PMID 18785805›Full record

ArticleExpert review of molecular diagnostics2008

Previstage GCC test for staging patients with colorectal cancer.

Alex Mejia, Scott A Waldmana

Open access · greenAbstract read
In one paragraph

Article in Expert review of molecular diagnostics, 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
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Genetic and epigenetic traits as biomarkers in colorectal cancer.International journal of molecular sciences · 2011
    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 1 institution in 1 country.

Alex MejiaDepartment of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, 132 South 10th Street, 1170 Main, Philadelphia, PA 19107, USA. alex.mejia@jefferson.edu
Scott A Waldmana
Thomas Jefferson University · US

Funding

CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM008562 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI WALTER K KRAFT, Scott A. Waldman · 1995 to 2026
$10.2M
Guanylyl Cyclase C in Blood and Colorectal CancerR01CA095026 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2003 to 2008
$5.1M
GUANYLYL CYCLASE C AS A BIOMARKER FOR COLORECTAL CANCERR01CA075123 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A. · 1998 to 2006
$5.1M
Training Program in Human InvestigationK30RR022299 · NCRR · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2005 to 2009
$1.5M
TRAINING PROGRAM IN HUMAN INVESTIGATIONK30HL004522 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A. · 2000 to 2004
$964k
NCI NIH HHS CA75123NCI NIH HHS CA95026NCI NIH HHS R01 CA075123NCI NIH HHS R01 CA095026NCRR NIH HHS K30 RR022299NHLBI NIH HHS K30 HL004522NIGMS NIH HHS T32 GM008562NIGMS NIH HHS T32 GM08562
6 · The paper itself

Abstract

The presence of tumor cells in regional lymph nodes is the most important prognostic and predictive marker in staging patients with colorectal cancer. Cancer cells in lymph nodes are associated with a poorer prognosis and an increased risk of recurrent disease. Additionally, nodal metastases identify patients who derive maximum benefit from adjuvant therapy. However, traditional paradigms for staging patients with colorectal cancer underestimate the extent of metastases and patients whose lymph nodes are ostensibly free of tumor cells by histopathology (pN0) have a 25-30% risk of developing recurrent disease, reflected by the presence of occult nodal metastases. These observations underscore the unmet clinical need for molecular approaches to accurately detect metastatic disease and identify patients at risk for disease relapse that could benefit from adjuvant chemotherapy. Detection of disease-specific mRNA targets as prognostic and predictive markers employing quantitative reverse transcription (qRT)-PCR is an emerging technology that has become a benchmark for individualization of patient management. However, to date, applications of qRT-PCR to detecting occult nodal metastases in colorectal cancer have been equivocal, reflecting markers with suboptimal sensitivity and specificity; limitations of utilizing qualitative, rather than quantitative, RT-PCR; and underpowered study designs based on inadequate patient populations. In that context, guanylyl cyclase C (GCC) is the most sensitive and specific biomarker for metastatic colorectal cancer in extra-intestinal tissues. GCC qRT-PCR detects occult metastases in lymph nodes, providing the most powerful independent prognostic information for predicting disease recurrence in pN0 patients in prospective multicenter clinical trials. This technology forms the basis for the Previstagetrade mark GCC Colorectal Cancer Staging Test encompassing a proprietary multiplex qRT-PCR assay compatible with formalin-fixed, paraffin-embedded lymph nodes for detecting occult metastases. Previstage GCC is a new diagnostic tool that may improve the accuracy of staging, prognosis of clinical outcomes and prediction of therapeutic responses to adjuvant therapy, representing a key advance in the management of patients with colorectal cancer.

Indexed as

Biomarkers, TumorColorectal NeoplasmsGuanylate CyclaseHumansImmunohistochemistryMolecular Diagnostic TechniquesNeoplasm StagingBiomarkers, TumorGuanylate Cyclase

Identifiers

PMID18785805
PMCPMC2819216
OpenAlexW2058505686

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.