Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
Pedram GeramiDepartment of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID 0000-0002-6194-1037
Bishal TandukarDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-9650-1664
Delahny DeivendranDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3046-2906
Shantel OlivaresDepartment of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Limin ChenDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4611-361X
Jessica TangDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8224-6407
Tuyet TanDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.
Harsh SharmaDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.
Aravind K BandariDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6786-520X
Noel Cruz-PachecoDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-8989-7093
Darwin ChangDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-5635-9109
Annika L MartyDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0009-0009-0554-131X
Adam OlshenHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-8998-4514
Natalia Faraj MuradHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
Jing SongDivision of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0002-8881-9664
Jungwha LeeDivision of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0002-0806-0847
Iwei YehDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-3941-3561
A Hunter ShainDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, USA.
Funding
Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Ashworth · 1999 to 2026
$209.7M
Pre-cancer atlas of skin cancerU01CA294536 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BASTIAN, BORIS C., SHAIN, ALAN HUNTER · 2024 to 2025
$5.2M
The genomic landscape and evolution of cutaneous squamous cell carcinomaR01CA265786 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Hunter Shain · 2022 to 2026
$2.1M
The mutational mechanisms shaping melanocytes in human skinR01AR080626 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Hunter Shain · 2023 to 2026
Tanning bed users have a significantly increased risk of melanoma, but it remains unclear how indoor tanning drives melanomagenesis. To better understand the etiology of melanoma associated with tanning bed use, we described the patterns of melanoma in patients with quantifiable tanning bed usage and performed exome sequencing of melanocytes from normal skin of a subset of these patients. Tanning bed users were more likely to have melanoma on body sites with low cumulative levels of sun damage and to have multiple melanomas. The melanocytes in skin from tanning bed users had higher mutation burdens and higher proportions of cells with pathogenic mutations-these differences were most prominent over body sites that experience comparatively less exposure to natural sunlight. We conclude that tanning bed radiation induces melanoma by increasing the mutation burden of melanocytes and by mutagenizing a broader field of melanocytes than are typically exposed to natural sunlight.
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.
Molecular effects of indoor tanning. · full record | OpenQuestion