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Plasma Thermogram Parameters Differentiate Status and Overall Survival of Melanoma Patients.
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- Author(s): Nguyen TQ;Nguyen TQ; Schneider G; Schneider G; Kaliappan A; Kaliappan A; Buscaglia R; Buscaglia R; Brock GN; Brock GN; Hall MB; Hall MB; Miller DM; Miller DM; Chesney JA; Chesney JA; Garbett NC; Garbett NC
- Source:
Current oncology (Toronto, Ont.) [Curr Oncol] 2023 Jun 24; Vol. 30 (7), pp. 6079-6096. Date of Electronic Publication: 2023 Jun 24.- Publication Type:
Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: MDPI Country of Publication: Switzerland NLM ID: 9502503 Publication Model: Electronic Cited Medium: Internet ISSN: 1718-7729 (Electronic) Linking ISSN: 11980052 NLM ISO Abbreviation: Curr Oncol Subsets: MEDLINE
- Publication Information: Publication: 2021- : Basel, Switzerland : MDPI
Original Publication: Toronto : Multimed, c1994- - Subject Terms:
- Abstract: Melanoma is the fifth most common cancer in the United States and the deadliest of all skin cancers. Even with recent advancements in treatment, there is still a 13% two-year recurrence rate, with approximately 30% of recurrences being distant metastases. Identifying patients at high risk for recurrence or advanced disease is critical for optimal clinical decision-making. Currently, there is substantial variability in the selection of screening tests and imaging, with most modalities characterized by relatively low accuracy. In the current study, we built upon a preliminary examination of differential scanning calorimetry (DSC) in the melanoma setting to examine its utility for diagnostic and prognostic assessment. Using regression analysis, we found that selected DSC profile (thermogram) parameters were useful for differentiation between melanoma patients and healthy controls, with more complex models distinguishing melanoma patients with no evidence of disease from patients with active disease. Thermogram features contributing to the third principal component (PC3) were useful for differentiation between controls and melanoma patients, and Cox proportional hazards regression analysis indicated that PC3 was useful for predicting the overall survival of active melanoma patients. With the further development and optimization of the classification method, DSC could complement current diagnostic strategies to improve screening, diagnosis, and prognosis of melanoma patients.
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Cancers (Basel). 2021 Oct 23;13(21):. (PMID: 34771491) - Grant Information: R01 AI129959 United States AI NIAID NIH HHS; R21 CA187345 United States CA NCI NIH HHS; P30 CA016058 United States CA NCI NIH HHS; UL1 TR002733 United States TR NCATS NIH HHS
- Contributed Indexing: Keywords: diagnosis; differential scanning calorimetry (DSC); melanoma; no evidence of disease (NED); overall survival (OS); thermogram
- Publication Date: Date Created: 20230728 Date Completed: 20230731 Latest Revision: 20230819
- Publication Date: 20230819
- Accession Number: PMC10378067
- Accession Number: 10.3390/curroncol30070453
- Accession Number: 37504313
- Source:
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