Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing 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.
Sharon N EdmistonDepartment of Epidemiology Dermatology and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0001-8273-446X
Kathleen ConwayDepartment of Epidemiology Dermatology and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-5540-3347
Paul B GoogeDepartment of Epidemiology Dermatology and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-9185-3548
David W OllilaDepartment of Epidemiology Dermatology and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0003-4129-6808
Jeffrey E LeeThe University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-6010-5590
Adam Z ReynoldsDepartment of Internal Medicine and the UNM Comprehensive Cancer Center, Albuquerque, New Mexico.ORCID 0000-0002-2982-9299
Tawny BoyceDepartment of Internal Medicine and the UNM Comprehensive Cancer Center, Albuquerque, New Mexico.ORCID 0000-0002-8972-5539
Sheri HolmenDepartment of Surgery, University of Utah Health Sciences Center and Huntsman Cancer Institute, Salt Lake City, Utah.ORCID 0000-0002-6411-6032
Elise BrunsgaardDepartment of Surgery, University of Utah Health Sciences Center and Huntsman Cancer Institute, Salt Lake City, Utah.ORCID 0000-0002-2928-9536
Paul BognerDepartments of Pathology and Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0001-5077-7633
Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3772-1795
Ronglai ShenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9694-584X
Marianne BerwickDepartment of Internal Medicine and the UNM Comprehensive Cancer Center, Albuquerque, New Mexico.ORCID 0000-0001-5062-2180
Yongzhao ShaoLaura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.ORCID 0000-0003-0641-6755
David PolskyRonald O. Perelman Department of Dermatology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0001-9554-5289
Eva HernandoLaura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.ORCID 0000-0003-1023-0312
Funding
X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
TRAINING PROGRAM IN MOLECULAR ONCOLOGY &IMMUNOLOGYT32CA009161 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARROLL, WILLIAM L., LEVY, DAVID E · 1985 to 2020
$13.3M
Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN, WEBER, JEFFREY S · 2019 to 2025
$12.5M
The University of Texas MD Anderson Cancer Center SPORE in MelanomaP50CA221703 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DAVIES, MICHAEL · 2019 to 2023
$10.3M
Sex Differences in Methylome Alterations and Mutational Burden in Early Stage MelanomaP01CA206980 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE, THOMAS, NANCY E. · 2017 to 2022
purposePatients with stage II and resected stage III melanomas have variable clinical outcomes, providing evidence of underlying biological differences in tumors and/or the patients themselves, beyond stage. The approval of adjuvant immunotherapy for stage IIB/C and resected stage III/IV disease (and adjuvant targeted therapy for resected stage III disease) has created a pressing need to develop biomarkers to accurately distinguish patients at low risk versus high risk for recurrence and death from melanoma. miRNAs are promising biomarkers because of their stability in tissues and fluids and their demonstrated functional and prognostic roles in melanoma. We hypothesized that miRNA expression could be integrated into prognostic models that would classify 5-year survival outcomes more accurately than clinical factors alone. EXPERIMENTAL
designUsing a NanoString miRNA Expression Assay, we analyzed 715 primary melanomas from patients with stage II or stage III disease within the InterMEL consortium and examined associations between miRNA expression and melanoma-specific death.
resultsWhen integrated into clinical prognostic models for 5-year melanoma-specific survival, miRNA signatures improved the area under the receiver operating characteristic curve for patients in stage II from 0.71 for a "clinical factors-only" model to 0.81 for a "clinical plus miRNA" model in an independent test set, an improvement of 0.10 with a 95% confidence interval (0.03-0.19). The improvement was more modest for patients in stage III who were included in the analysis.
conclusionsIncorporating miRNA expression in primary melanomas may enhance the accuracy of clinical prognostic models and potentially aid in the selection of patients with melanoma for adjuvant treatment and clinical trials.
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.
Tumor miRNA Signatures Associate with Outcomes of Patients with Stage II/III Melanoma. · full record | OpenQuestion