Evidence map›Paper›PMID 36259230›Full record

ReviewExpert review of clinical pharmacology2022

Overview of predictive and prognostic biomarkers and their importance in developing a clinical pharmacology treatment plan in colorectal cancer patients.

Madison M Crutcher, Adam E Snook, Scott A Waldman

Abstract readReview
In one paragraph

Review in Expert review of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Madison M CrutcherDepartment of Surgery, Thomas Jefferson University, Philadelphia, PA, USA.
Adam E SnookDepartment of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, USA.ORCID 0000-0001-9216-4560
Scott A WaldmanDepartment of Pharmacology & Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, USA.

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI Andrew Chapman · 1995 to 2026
$94.8M
CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM008562 · NIGMS · THOMAS JEFFERSON UNIVERSITY · PI WALTER K KRAFT, Scott A. Waldman · 1995 to 2026
$10.2M
Guanylin GUCY2C axis in Colorectal Cancer InitiationR01CA204481 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2017 to 2021
$1.8M
(PQ1) GUCY2C hormone loss translates APC-Beta-catenin mutations into epithelial transformationR01CA206026 · NCI · THOMAS JEFFERSON UNIVERSITY · PI WALDMAN, SCOTT A · 2016 to 2020
$1.8M
NCI NIH HHS P30 CA056036NCI NIH HHS R01 CA204481NCI NIH HHS R01 CA206026NIGMS NIH HHS T32 GM008562
6 · The paper itself

Abstract

introductionColorectal cancer (CRC) is the second most common cause of cancer-related death worldwide. Although overall survival for CRC patients has improved with earlier screening, survival continues to vary substantially across stages. Also, while the introduction of targeted therapies, including VEGF and EGFR inhibitors, has contributed to improving survival, better tools are needed to optimize patient selection and maximize therapeutic benefits. Emerging biomarkers can be used to guide pharmacologic decision-making, as well as monitor treatment response, clarify the need for adjuvant therapies, and indicate early signs of recurrence. This is a narrative review examining the current and evolving use of predictive and prognostic biomarkers in colorectal cancer. AREAS COVERED: Areas covered include mutations of the MAPK (KRAS, BRAF) and HER2 pathways and their impacts on treatment decisions. In addition, novel methods for assessing tumor mutations and tracking treatment responses are examined. EXPERT OPINION: The standard of care pathway for staging, and treatment selection and surveillance, of CRC will expand to include novel biomarkers in the next 5 years. It is anticipated that these new biomarkers will assist in decision-making regarding selection of targeted therapies and, importantly, in risk stratification for treatment decisions in patients at high risk for recurrence.

Indexed as

Colorectal NeoplasmsPharmacology, ClinicalBiomarkersBiomarkers, TumorHumansMutationPrognosisBiomarkersBiomarkers, TumorAnti-EGFR therapyBRAFcirculating tumor DNAcolorectal cancerconsensus molecular subtypesHER2immune checkpoint inhibitorsKRASmicrosatellite instability

Identifiers

PMID36259230
PMCPMC9847576

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.