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Prognostic instrument for survival outcome in melanoma patients: based on data from the population-based Swedish Melanoma Register
Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Region Östergötland, Local Health Care Services in West Östergötland, Research & Development Unit in Local Health Care. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Health and Developmental Care, Regional Cancer Center South East Sweden.
Lund University, Sweden.
Lund University, Sweden.
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2016 (English)In: European Journal of Cancer, ISSN 0959-8049, E-ISSN 1879-0852, Vol. 59, 171-178 p.Article in journal (Refereed) PublishedText
Abstract [en]

Background: Several major analyses have identified a consistent set of independent risk factors for cutaneous malignant melanoma (CMM). A few prognostic models have been presented but some are based on a limited number of patients and others are based on selected groups of patients referred to major institutions. No nationwide population-based prognostic instrument for survival of CMM has been presented. The Swedish Melanoma Register (SMR) database covers 99% of CMM diagnosed in Sweden and includes today >50,000 cases. Objectives: To create a prognostic instrument based on SMR data to give highly reliable risk profiles for patients diagnosed with localised CMM. Methods: Clinicopathological data were linked to the cause of death registry for calculation of CMM-specific survival. A generalised gamma method was used to derive 1, 5 and 10year probabilities of death for each combination of patient and tumour data: age, sex, tumour site, tumour thickness, tumour ulceration, Clarks level of invasion and when applicable also outcome of sentinel node biopsy (SNB). Results: Tumour thickness had the highest prognostic impact, explaining 77% of the model. Women had 30% lower risk of death because of CMM than men. Presence of ulceration nearly doubled the risk. If the patient had a positive SNB status the risk of death due to CMM increased three times versus a negative SNB status. Conclusion: This unique population-based prognostic model for primary CMM shows better survival than the American Joint Commission on Cancer prognostic model widely used. The reason is probably that the referral bias is eliminated in a population-based cohort.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2016. Vol. 59, 171-178 p.
Keyword [en]
Prognostic instrument; Malignant melanoma; Population-based; Generalised gamma method
National Category
Clinical Medicine
URN: urn:nbn:se:liu:diva-128735DOI: 10.1016/j.ejca.2016.02.029ISI: 000375138200019PubMedID: 27046697OAI: diva2:932318

Funding Agencies|Regional Cancer Centre South East in Linkoping; Hudfonden; S.R Gorthon foundation; Paulsson Trust; G. Nilsson foundation

Available from: 2016-06-01 Created: 2016-05-30 Last updated: 2016-06-22

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Available from 2017-04-02 00:00

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Lyth, Johan
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Division of Clinical SciencesResearch & Development Unit in Local Health CareFaculty of Medicine and Health SciencesDepartment of Clinical and Experimental MedicineRegional Cancer Center South East Sweden
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European Journal of Cancer
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