Evidence map›Paper›PMID 27465221›Full record

ArticleCancer medicine2016

Blood-based markers of efficacy and resistance to cetuximab treatment in metastatic colorectal cancer: results from CALGB 80203 (Alliance).

Ace J Hatch, Alexander B Sibley, Mark D Starr, J Chris Brady, Chen Jiang, Jingquan Jia, Daniel L Bowers, Herbert Pang, Kouros Owzar, Donna Niedzwiecki and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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  4. Characterization of the Biological Variability of the Angiome Biomarkers over Time in Healthy Participants.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

15 authors at 6 institutions in 3 countries.

Ace J HatchDuke University Medical Center, Durham, North Carolina.
Alexander B SibleyDuke Cancer Institute Bioinformatics Shared Resource, Duke University, Durham, North Carolina.
Mark D StarrDuke University Medical Center, Durham, North Carolina.
J Chris BradyDuke University Medical Center, Durham, North Carolina.
Chen JiangAlliance Statistical and Data Center, Durham, North Carolina.
Jingquan JiaEast Carolina University, Greenville, North Carolina.
Daniel L BowersDuke University Medical Center, Durham, North Carolina.
Herbert PangDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
Kouros OwzarDuke Cancer Institute Bioinformatics Shared Resource, Duke University, Durham, North Carolina.
Donna NiedzwieckiAlliance Statistical and Data Center, Durham, North Carolina.
Federico InnocentiUniversity of North Carolina, Chapel Hill, North Carolina.
Alan P VenookUniversity of California, San Francisco - Helen Diller Family Comprehensive Cancer Center, San Francisco, California.
Herbert I HurwitzDuke University Medical Center, Durham, North Carolina.
Andrew B NixonDuke University Medical Center, Durham, North Carolina. anixon@duke.edu.ORCID 0000-0003-3971-2964
Alliance for Clinical Trials in Oncology
Duke Medical Center · USDuke University · USDurham University · GBEast Carolina University · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · US

Funding

Member Site CoreU10CA180821 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Evanthia Galanis · 2014 to 2026
$177.3M
CANCER AND LEUKEMIA GROUP B MINORITY SATELLITE SUPPLEMENU10CA031946 · NCI · UNIVERSITY OF CHICAGO · PI BERTAGNOLLI, MONICA M · 1985 to 2013
$158.4M
Statistics CoreU10CA180882 · NCI · MAYO CLINIC ROCHESTER · PI Sumithra Jay Mandrekar · 2014 to 2026
$115.0M
CANCER &LEUKEMIA GROUP B STATISTICAL CENTERU10CA033601 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SARGENT, DANIEL J. · 1985 to 2013
$69.4M
THE ALLIANCE NCTN BIOREPOSITORY AND BIOSPECIMEN RESOURCEU24CA196171 · NCI · WASHINGTON UNIVERSITY · PI Mine Cicek, Wendy Frankel · 2015 to 2026
$35.0M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareU10CA180867 · NCI · DANA-FARBER CANCER INST · PI BURSTEIN, HAROLD JOHN, KIBEL, ADAM S · 2014 to 2018
$6.2M
NCTN Lead Academic Participating Sites ApplicationU10CA180838 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAREY, LISA A · 2014 to 2018
$2.8M
CANCER AND LEUKEMIA GROUP BU10CA047577 · NCI · DUKE UNIVERSITY · PI CRAWFORD, JEFFREY · 1988 to 2013
$2.2M
NCI NIH HHS U10 CA031946NCI NIH HHS U10 CA033601NCI NIH HHS U10 CA047577NCI NIH HHS U10 CA180821NCI NIH HHS U10 CA180838NCI NIH HHS U10 CA180867NCI NIH HHS U10 CA180882NCI NIH HHS U24 CA196171
6 · The paper itself

Abstract

Circulating protein markers were assessed in patients with colorectal cancer (CRC) treated with cetuximab in CALGB 80203 to identify prognostic and predictive biomarkers. Patients with locally advanced or metastatic CRC received FOLFOX or FOLFIRI chemotherapy (chemo) or chemo in combination with cetuximab. Baseline plasma samples from 152 patients were analyzed for six candidate markers [epidermal growth factor (EGF), heparin-binding EGF (HBEGF), epidermal growth factor receptor (EGFR), HER2, HER3, and CD73]. Analyte levels were associated with survival endpoints using univariate Cox proportional hazards models. Predictive markers were identified using a treatment-by-marker interaction term in the Cox model. Plasma levels of EGF, HBEGF, HER3, and CD73 were prognostic for overall survival (OS) across all patients (KRAS mutant and wild-type). High levels of EGF predicted for lack of OS benefit from cetuximab in KRAS wild-type (WT) patients (chemo HR = 0.98, 95% CI = 0.74-1.29; chemo+cetuximab HR = 1.54, 95% CI = 1.05-2.25; interaction P = 0.045) and benefit from cetuximab in KRAS mutant patients (chemo HR = 1.72, 95% CI = 1.02-2.92; chemo+cetuximab HR = 0.90, 95% CI = 0.67-1.21; interaction P = 0.026). Across all patients, higher HER3 levels were associated with significant OS benefit from cetuximab treatment (chemo HR = 4.82, 95% CI = 1.68-13.84; chemo+cetuximab HR = 0.95, 95% CI = 0.31-2.95; interaction P = 0.046). CD73 was also identified as predictive of OS benefit in KRAS WT patients (chemo HR = 1.28, 95% CI = 0.88-1.84; chemo+cetuximab HR = 0.60, 95% CI = 0.32-1.13; interaction P = 0.049). Although these results are preliminary, and confirmatory studies are necessary before clinical application, the data suggest that HER3 and CD73 may play important roles in the biological response to cetuximab.

Indexed as

Drug Resistance, NeoplasmAdultAgedAged, 80 and overAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCetuximabColorectal NeoplasmsFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMutationNeoplasm MetastasisAntineoplastic AgentsBiomarkers, TumorCetuximabras ProteinsBiomarkercetuximabcolorectal cancerplasma

Identifiers

PMID27465221
PMCPMC5055181
OpenAlexW2488437679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.