Literature DB >> 26479218

Implications of age and conditional survival estimates for patients with melanoma.

Mousumi Banerjee1, Christopher D Lao, Lauren M Wancata, Daniel G Muenz, Megan R Haymart, Sandra L Wong.   

Abstract

Overall cancer incidence is decreasing, whereas melanoma cases are increasing. Conditional survival estimates offer a more accurate prognosis for patients the farther they are from time of diagnosis. The effect of age and stage on a melanoma patient's conditional survival estimate is unknown. Surveillance, Epidemiology, and End Results data were utilized to identify newly diagnosed cutaneous melanoma patients (N=95 041), from 1998 to 2005, with up to 12 years of follow-up. Estimates of disease-specific survival by stage and age were determined by Cox regression analysis and transformed to estimated conditional 5-year survival. Localized melanoma patients have an excellent 5-year survival at diagnosis and over subsequent years. For patients with localized and regional disease, an age effect is present for disease-specific mortality when comparing older patients (70-79 years) with younger patients (<30 years): hazard ratio (HR) for mortality 3.79 [95% confidence interval (CI) 3.01-4.84] and HR 2.36 (95% CI 1.93-2.91), respectively. No age effect difference is observed in disease-specific survival for advanced disease: HR 1.14 (95% CI 0.87-1.53). Over time, conditional survival estimates improve for older patients with localized and regional disease. This improvement is not seen in distant disease, neither is the age gradient. Disease-specific mortality and conditional survival for patients with localized and regional melanomas are initially impacted by older age, with effects dissipating over time. Age does not affect survival in patients with advanced disease. Understanding the conditional 5-year disease-specific survival of melanoma based on age and stage can help patients and physicians, informing decision-making about treatment and surveillance.

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Year:  2016        PMID: 26479218      PMCID: PMC5020374          DOI: 10.1097/CMR.0000000000000213

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  19 in total

1.  Conditional survival among cancer patients in the United States.

Authors:  Ray M Merrill; Bradley D Hunter
Journal:  Oncologist       Date:  2010-07-20

2.  Conditional survival estimates improve over 5 years for melanoma survivors with node-positive disease.

Authors:  Tawnya L Bowles; Yan Xing; Chung-Yuan Hu; Kristi S Mungovan; Robert L Askew; George J Chang; Jeffrey E Gershenwald; Jeffrey E Lee; Paul F Mansfield; Merrick I Ross; Janice N Cormier
Journal:  Ann Surg Oncol       Date:  2010-04-06       Impact factor: 5.344

3.  Sentinel Lymph Node Biopsy Use Among Melanoma Patients 75 Years of Age and Older.

Authors:  Michael S Sabel; David Kozminski; Kent Griffith; Alfred E Chang; Timothy M Johnson; Sandra Wong
Journal:  Ann Surg Oncol       Date:  2015-04-03       Impact factor: 5.344

4.  Clinical relevance of conditional survival of cancer patients in europe: age-specific analyses of 13 cancers.

Authors:  Maryska L G Janssen-Heijnen; Adam Gondos; Freddie Bray; Timo Hakulinen; David H Brewster; Hermann Brenner; Jan-Willem W Coebergh
Journal:  J Clin Oncol       Date:  2010-04-20       Impact factor: 44.544

5.  Melanoma epidemic: an analysis of six decades of data from the Connecticut Tumor Registry.

Authors:  Alan C Geller; Richard W Clapp; Arthur J Sober; Lou Gonsalves; Lloyd Mueller; Cindy L Christiansen; Waqas Shaikh; Donald R Miller
Journal:  J Clin Oncol       Date:  2013-09-16       Impact factor: 44.544

6.  Health care system and socioeconomic factors associated with variance in use of sentinel lymph node biopsy for melanoma in the United States.

Authors:  Karl Y Bilimoria; Charles M Balch; Jeffrey D Wayne; David C Chang; Bryan E Palis; Sydney M Dy; Julie R Lange
Journal:  J Clin Oncol       Date:  2009-03-09       Impact factor: 44.544

7.  Correlation between prognostic factors and increasing age in melanoma.

Authors:  Celia Chao; Robert C G Martin; Merrick I Ross; Douglas S Reintgen; Michael J Edwards; R Dirk Noyes; Lee J Hagendoorn; Arnold J Stromberg; Kelly M McMasters
Journal:  Ann Surg Oncol       Date:  2004-03       Impact factor: 5.344

8.  Prognosis for long-term survivors of cancer.

Authors:  M L G Janssen-Heijnen; S Houterman; V E P P Lemmens; H Brenner; E W Steyerberg; J W W Coebergh
Journal:  Ann Oncol       Date:  2007-08       Impact factor: 32.976

9.  Influence of death certificate errors on cancer mortality trends.

Authors:  D G Hoel; E Ron; R Carter; K Mabuchi
Journal:  J Natl Cancer Inst       Date:  1993-07-07       Impact factor: 13.506

10.  Conditional survival of cancer patients: an Australian perspective.

Authors:  Xue Qin Yu; Peter D Baade; Dianne L O'Connell
Journal:  BMC Cancer       Date:  2012-10-08       Impact factor: 4.430

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  1 in total

1.  Immune checkpoint inhibitor (ICI) genes and aging in malignant melanoma patients: a clinicogenomic TCGA study.

Authors:  Mohammed Safi; Chenxing Jin; Abdullah Aldanakh; Ping Feng; Henan Qin; Mohammed Alradhi; Lizhi Zhang; Junying Zhang; Salah Adlat; Yi Zhao; Jiwei Liu
Journal:  BMC Cancer       Date:  2022-09-13       Impact factor: 4.638

  1 in total

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