Evidence map›Paper›PMID 26440571›Full record

ArticleNuclear medicine communications2016

Correlation between early 18F-FDG PET/CT response to BRAF and MEK inhibition and survival in patients with BRAF-mutant metastatic melanoma.

Ronald J Schmitt, Sarah M Kreidler, Deborah H Glueck, Rodabe N Amaria, Rene Gonzalez, Karl Lewis, Brian M Bagrosky, Jennifer J Kwak, Phillip J Koo

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  3. The Role and Potential ofDiagnostics (Basel, Switzerland) · 2022
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  6. Cancer imaging : the official publication of the International Cancer Imaging Society · 2018
    Article
  7. Review
  8. Review
  9. Molecularly targeted therapies in cancer: a guide for the nuclear medicine physician.European journal of nuclear medicine and molecular imaging · 2017
    Review
  10. Therapeutic efficacy and safety of combinedOncoTargets and therapy · 2017
    Article
  11. Review
  12. Tumor response assessment by the single-lesion measurement per organ in small cell lung cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2016
    Article
  13. 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

9 authors at 1 institution in 1 country.

Ronald J SchmittaDepartment of Radiology bDepartment of Medicine, Division of Medical Oncology, University of Colorado School of Medicine cDepartment of Biostatistics, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado dThe University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sarah M Kreidler
Deborah H Glueck
Rodabe N Amaria
Rene Gonzalez
Karl Lewis
Brian M Bagrosky
Jennifer J Kwak
Phillip J Koo
University of Colorado Hospital · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

purposeMetabolic response to treatment measured by fluorine-18 fluorodeoxyglucose ((18)F-FDG) PET has prognostic implications in many cancers. This study investigated the association between survival and early changes on (18)F-FDG PET/computed tomography (CT) for patients with BRAF-mutant melanoma receiving combined BRAF and MEK inhibition therapy. MATERIALS AND

methodsOverall, 24 patients with advanced BRAF-mutant melanoma were included. Patients were treated with a BRAF inhibitor (vemurafenib or dabrafenib) and a MEK inhibitor (cobimetinib or trametinib), and were imaged at baseline and shortly thereafter with (18)F-FDG PET/CT. Each scan yielded two values of maximum standardized uptake value (SUVmax): one for the most metabolically active focus and one for the least responsive focus. Short-term treatment response was assessed by evaluating the target lesions using the EROTC criteria. A Cox proportional hazards model was used to examine associations between overall survival (OS) and progression-free survival (PFS) and changes in SUVmax.

resultsThe mean time to follow-up (18)F-FDG PET/CT was 26 days. At follow-up, two patients achieved a complete response. For the most metabolically active focus, 22 patients showed a partial response. For the least responsive focus, 18 patients showed a partial response, two had stable disease, and two had progressive disease.A total of 16 patients were alive at the end of the study. For the most metabolically active tumor, no association was observed between changes in SUVmax and OS (P=0.73) or PFS (P=0.17). For the least responsive tumor, change in SUVmax was associated with PFS [hazard ratio (HR)=1.34, 95% confidence interval (CI): 1.06-1.71, P=0.01], but not OS (P=0.52). The ECOG score was associated with OS (HR=11.81, 95% CI: 1.42-97.60, P=0.02) and PFS (HR=24.72, 95% CI: 3.23-189.42, P=0.002).

conclusionChange in SUVmax for the least responsive tumor and baseline functional performance may be useful prognostic indicators for PFS in patients with BRAF-mutant melanoma.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyTomography, X-Ray ComputedAntineoplastic Combined Chemotherapy ProtocolsDisease-Free SurvivalFemaleHumansMaleMAP Kinase Kinase KinasesMelanomaMiddle AgedMultimodal ImagingMutationNeoplasm MetastasisProtein Kinase InhibitorsProto-Oncogene Proteins B-rafBRAF protein, humanFluorodeoxyglucose F18MAP Kinase Kinase KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-raf

Identifiers

PMID26440571
PMCPMC4689629
OpenAlexW2413328995

What OpenQuestion holds

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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.