Use of UV mutational signatures to distinguish between cutaneous and pulmonary primary squamous cell carcinoma

When cases of PLO-SCC undergo CGP, a small 2.5% subset of cases that featured a UV MS emerge that indicates that these tumors may actually represent metastatic cutaneous SCC or BCC with squamous differentiation. Given the significant treatment and clinical impact associated with the resolution of the true diagnosis of these cases, the use of genomic sequencing in PLO-SCC may be clinically beneficial.

Authors

Institutions

Publication Details

Journal
Journal of Cutaneous Pathology
Published
2024-09-15
DOI
https://doi.org/10.1111/cup.14713
Citations
3
Primary Topic
Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of UV mutational signatures to distinguish between cutaneous and pulmonary primary squamous cell carcinoma

Julie Y. Tse, Stephen L. Graziano, Dean Pavlick, Alina Basnet et al.
3 citations
Journal of Cutaneous Pathology
Cancer Diagnosis and Treatment
0.85
article

Use of UV mutational signatures to distinguish between cutaneous and pulmonary primary squamous cell carcinoma

Julie Y. Tse, Stephen L. Graziano, Dean Pavlick, Alina Basnet, Richard S.P. Huang, Erik A. Williams, Rami N. Al‐Rohil, Ethan S. Sokol, Jeffrey S. Ross, Devashish Desai, David M. Jones
article en
3 citations

Abstract

When cases of PLO-SCC undergo CGP, a small 2.5% subset of cases that featured a UV MS emerge that indicates that these tumors may actually represent metastatic cutaneous SCC or BCC with squamous differentiation. Given the significant treatment and clinical impact associated with the resolution of the true diagnosis of these cases, the use of genomic sequencing in PLO-SCC may be clinically beneficial.

Journal of Cutaneous PathologyVol. 53(1)
Berkshire Medical Center (US), University of Miami (US), Duke University (US), SUNY Upstate Medical University (US), Boston Foundation (US), Foundation Medicine (United States)
Good health and well-being
Openalex Percentile: Top 22%
Cancer Diagnosis and Treatment
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.