Evidence map›Paper›PMID 29402264›Full record

ArticleBMC cancer2018

Performance of a prognostic 31-gene expression profile in an independent cohort of 523 cutaneous melanoma patients.

Jonathan S Zager, Brian R Gastman, Sancy Leachman, Rene C Gonzalez, Martin D Fleming, Laura K Ferris, Jonhan Ho, Alexander R Miller, Robert W Cook, Kyle R Covington and 13 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

23 authors.

Jonathan S ZagerDepartment of Cutaneous Oncology, Moffitt Cancer Center, 10920 N. McKinley Drive room 4123, Tampa, FL, 33612, USA.
Brian R GastmanDepartment of Plastic Surgery, Cleveland Clinic Lerner Research Institute, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
Sancy LeachmanDepartment of Dermatology, Knight Cancer Institute, Oregon Health & Science University, 3303 S.W. Bond Avenue, Portland, OR, 97239, USA.
Rene C GonzalezDepartment of Medical Oncology, University of Colorado School of Medicine, 12801 E. 17th Avenue, Aurora, CO, 80045, USA.
Martin D FlemingDepartment of Surgical Oncology, The University of Tennessee Health Science Center, 910 Madison, Suite 303, Memphis, TN, 38163, USA.
Laura K FerrisDepartment of Dermatology, University of Pittsburgh Medical Center, 3601 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Jonhan HoDepartment of Pathology, University of Pittsburgh Medical Center, 3708 Fifth Avenue, Suite 500.94, Pittsburgh, PA, 15213, USA.
Alexander R MillerSTART Center for Cancer Care, 4383 Medical Drive, San Antonio, TX, 78229, USA.
Robert W CookCastle Biosciences, Inc., 820 S. Friendswood Drive, Suite 201, Friendswood, TX, 77546, USA.
Kyle R CovingtonCastle Biosciences, Inc., 820 S. Friendswood Drive, Suite 201, Friendswood, TX, 77546, USA.
Kristen Meldi-PlasseraudCastle Biosciences, Inc., 820 S. Friendswood Drive, Suite 201, Friendswood, TX, 77546, USA.
Brooke MiddlebrookCastle Biosciences, Inc., 820 S. Friendswood Drive, Suite 201, Friendswood, TX, 77546, USA.
Lewis H KaminesterDermatology North Palm Beach, 840 U.S. Highway Number One, North Palm Beach, FL, 33408, USA.
Anthony GreisingerResearch & Development, Kelsey Research Foundation, 5615 Kirby Drive, Suite 660, Houston, TX, 77005, USA.
Sarah I EstradaAffiliated Dermatology, 20401 North 73rd Street, Suite 230, Scottsdale, AZ, 85255, USA.
David M PariserPariser Dermatology Specialists, Virginia Clinical Research, Inc., 6160 Kempsville Circle, Suite 200A, Norfolk, VA, 23502, USA.
Lee D CranmerDepartment of Sarcoma Medical Oncology, Seattle Cancer Care Alliance, 825 Eastlake Avenue E, Seattle, WA, 98109, USA.
Jane L MessinaDepartment of Anatomic Pathology, Moffitt Cancer Center, 10920 N. McKinley Drive, Tampa, FL, 33612, USA.
John T VettoDivision of Surgical Oncology, Knight Cancer Institute, Oregon Health & Science University, 3303 S.W. Bond Avenue, Portland, OR, 97239, USA.
Jeffrey D WayneDepartment of Surgical Oncology, Northwestern University Feinberg School of Medicine, 251 East Huron Street, Chicago, IL, 60611, USA.
Keith A DelmanDepartment of Surgery, Emory University Winship Cancer Institute, 1364 Clifton Road NE, Atlanta, GA, 30322, USA.
David H LawsonDepartment of Hematology and Medical Oncology, Emory University Winship Cancer Institute, 550 Peachtree Street NE, Atlanta, GA, 30308, USA.
Pedram GeramiSkin Cancer Institute, Northwestern University, Lurie Comprehensive Cancer Center, 420 East Superior Street, Chicago, IL, 60611, USA. pgerami1@nm.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe heterogeneous behavior of patients with melanoma makes prognostication challenging. To address this, a gene expression profile (GEP) test to predict metastatic risk was previously developed. This study evaluates the GEP's prognostic accuracy in an independent cohort of cutaneous melanoma patients.

methodsThis multi-center study analyzed primary melanoma tumors from 523 patients, using the GEP to classify patients as Class 1 (low risk) and Class 2 (high risk). Molecular classification was correlated to clinical outcome and assessed along with AJCC v7 staging criteria. Primary endpoints were recurrence-free (RFS) and distant metastasis-free (DMFS) survival.

resultsThe 5-year RFS rates for Class 1 and Class 2 were 88% and 52%, respectively, and DMFS rates were 93% versus 60%, respectively (P < 0.001). The GEP was a significant predictor of RFS and DMFS in univariate analysis (hazard ratio [HR] = 5.4 and 6.6, respectively, P < 0.001 for each), along with Breslow thickness, ulceration, mitotic rate, and sentinel lymph node (SLN) status (P < 0.001 for each). GEP, tumor thickness and SLN status were significant predictors of RFS and DMFS in a multivariate model that also included ulceration and mitotic rate (RFS HR = 2.1, 1.2, and 2.5, respectively, P < 0.001 for each; and DMFS HR = 2.7, 1.3 and 3.0, respectively, P < 0.01 for each).

conclusionsThe GEP test is an objective predictor of metastatic risk and provides additional independent prognostic information to traditional staging to help estimate an individual's risk for recurrence. The assay identified 70% of stage I and II patients who ultimately developed distant metastasis. Its role in consideration of patients for adjuvant therapy should be examined prospectively.

Indexed as

Gene Expression Regulation, NeoplasticAdolescentAdultAgedAged, 80 and overCohort StudiesGene Expression ProfilingHumansKaplan-Meier EstimateLymphatic MetastasisMelanomaMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProportional Hazards ModelsCutaneous melanomaDecisionDx-MelanomaGene expression profilingMetastasisPrognosisStaging

Identifiers

PMID29402264
PMCPMC5800282

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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.