Evidence map›Paper›PMID 26259598›Full record

Trial reportJournal of translational medicine2015

eNOS polymorphisms as predictors of efficacy of bevacizumab-based chemotherapy in metastatic colorectal cancer: data from a randomized clinical trial.

Paola Ulivi, Emanuela Scarpi, Alessandro Passardi, Giorgia Marisi, Daniele Calistri, Wainer Zoli, Marzia Del Re, Giovanni Luca Frassineti, Davide Tassinari, Stefano Tamberi and 2 more

Abstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
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  10. Genetic Variants ofInternational journal of molecular sciences · 2021
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  14. International journal of molecular sciences · 2019
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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

12 authors.

Paola UliviBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via Maroncelli 40, 47014, Meldola, Italy. paola.ulivi@irst.emr.it.
Emanuela ScarpiUnit of Biostatistics and Clinical Trials, IRST IRCCS, Meldola, Italy. emanuela.scarpi@irst.emr.it.
Alessandro PassardiDepartment of Medical Oncology, IRST IRCCS, Meldola, Italy. alessandro.passardi@irst.emr.it.
Giorgia MarisiBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via Maroncelli 40, 47014, Meldola, Italy. giorgia.marisi@irst.emr.it.
Daniele CalistriBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via Maroncelli 40, 47014, Meldola, Italy. daniele.calistri@irst.emr.it.
Wainer ZoliBiosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Via Maroncelli 40, 47014, Meldola, Italy. wainer.zoli@irst.emr.it.
Marzia Del ReDepartment of Clinical and Experimental Medicine, Pisa University Hospital, Pisa, Italy. marzia.delre@gmail.com.
Giovanni Luca FrassinetiDepartment of Medical Oncology, IRST IRCCS, Meldola, Italy. luca.frassineti@irst.emr.it.
Davide TassinariDepartment of Oncology, Per gli Infermi Hospital, Rimini, Italy. dtassinari@rimini.com.
Stefano TamberiOncology Unit, Degli Infermi Hospital, Faenza, Italy. s.tamberi@ausl.ra.it.
Bernadette VertogenUnit of Biostatistics and Clinical Trials, IRST IRCCS, Meldola, Italy. bernadette.vertogen@irst.emr.it.
Dino AmadoriDepartment of Medical Oncology, IRST IRCCS, Meldola, Italy. direzione.scientifica@irst.emr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBevacizumab plus chemotherapy is a widely used therapeutic option for first-line treatment of metastatic colorectal cancer (mCRC). However, molecular predictors of bevacizumab efficacy have not yet been identified. We analyzed vascular endothelial growth factor (VEGF) and endothelial nitric oxide synthase (eNOS) polymorphisms in relation to response to bevacizumab.

methodsTwo hundred and thirty-seven patients with mCRC enrolled onto the phase III prospective multicentre randomized "Italian Trial in Advanced Colorectal Cancer (ITACa)" trial were evaluated. One hundred fourteen patients received chemotherapy plus bevacizumab (CT + B) and 123 received chemotherapy (CT) alone. Five single nucleotide polymorphisms (SNPs) (-2578, -1498, -1154, -634 and +936) for VEGF and 2 SNPs (-786, +894) and one variable number tandem repeat in intron 4 for eNOS were analyzed for each patient. The polymorphisms were assessed in relation to progression-free survival (PFS), objective response rate (ORR) and overall survival (OS).

resultsVEGF 936C/T, eNOS +894 G/T and VNTR were significantly correlated with outcome in CT + B patients, but not in CT-only patients. In particular, patients with a specific haplotype combination of the 2 eNOS polymorphisms (defined eNOS Haplo1/Haplo1 and eNOS Haplo 2/Haplo2) showed significantly longer PFS (15.0 vs 9.1 months, P = 0.001) and OS (34.5 vs 20.5 months P = 0.002), and a higher ORR (71 vs 45.9%, P = 0.013) than those with the other genotypes, respectively.

conclusionsSpecific eNOS polymorphisms may be capable of identifying a subset of mCRC patients who are more responsive to bevacizumab-based chemotherapy. If confirmed, these results would permit individually tailored treatment with bevacizumab.

Indexed as

AdultAgedAged, 80 and overBevacizumabColorectal NeoplasmsDisease-Free SurvivalFemaleGenetic Association StudiesHaplotypesHumansMaleMiddle AgedNeoplasm MetastasisNitric Oxide Synthase Type IIIPolymorphism, Single NucleotideTreatment OutcomeBevacizumabNitric Oxide Synthase Type IIINOS3 protein, humanVascular Endothelial Growth Factor A

Identifiers

PMID26259598
PMCPMC4531503

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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.