scholarly journals The Future of Precision Prevention for Advanced Melanoma

2022 ◽  
Vol 8 ◽  
Author(s):  
Katie J. Lee ◽  
Brigid Betz-Stablein ◽  
Mitchell S. Stark ◽  
Monika Janda ◽  
Aideen M. McInerney-Leo ◽  
...  

Precision prevention of advanced melanoma is fast becoming a realistic prospect, with personalized, holistic risk stratification allowing patients to be directed to an appropriate level of surveillance, ranging from skin self-examinations to regular total body photography with sequential digital dermoscopic imaging. This approach aims to address both underdiagnosis (a missed or delayed melanoma diagnosis) and overdiagnosis (the diagnosis and treatment of indolent lesions that would not have caused a problem). Holistic risk stratification considers several types of melanoma risk factors: clinical phenotype, comprehensive imaging-based phenotype, familial and polygenic risks. Artificial intelligence computer-aided diagnostics combines these risk factors to produce a personalized risk score, and can also assist in assessing the digital and molecular markers of individual lesions. However, to ensure uptake and efficient use of AI systems, researchers will need to carefully consider how best to incorporate privacy and standardization requirements, and above all address consumer trust concerns.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 249-249
Author(s):  
Megan Herr ◽  
Rochelle E. Curtis ◽  
Margaret A. Tucker ◽  
Heather R. Tecca ◽  
Eric A. Engels ◽  
...  

Abstract Introduction Advances in clinical practice for allogeneic hematopoietic cell transplantation (HCT), a potentially curative treatment most frequently indicated for hematologic malignancies, have led to substantial improvements in prognosis. HCT survivors are at risk for a number of post-transplant complications, including the development of new malignancies. Although cutaneous melanoma risk is known to be increased after HCT, no previous study has comprehensively investigated risk factors in order to identify patients at highest risk for melanoma development. The purpose of this study was to identify risk factors for developing melanoma after allogeneic HCT, specifically evaluating the relationship between melanoma and conditioning regimens as well as factors associated with immunosuppression and immune dysfunction. Methods We conducted a nested case-control study of melanoma within a cohort of 21,590 patients receiving a first allogeneic HCT during 1985-2012, as reported to the Center for International Blood and Marrow Transplant Research. Data on patient and transplant characteristics derived from standardized reports pre-HCT, 100 days and 6 months post-HCT, and annually thereafter or until death. The cohort was restricted to non-Hispanic Caucasians because melanoma is rare among other racial/ethnic groups. Among cases with a melanoma diagnosis reported by transplant centers (N=140), 82 (59%) were confirmed by pathology report review. Four controls were matched to each case on age at HCT (±3 years), sex, primary disease, and time since HCT (without a melanoma diagnosis). Conditional logistic regression was utilized to assess risk factors associated with melanoma development after allogeneic HCT. Multivariable models were adjusted for ambient ultraviolet radiation (UVR), estimated based on residence at the time of HCT, because of the known association between UVR and melanoma. Exploratory analyses were conducted to assess melanoma risk by age and time to melanoma development. Results Among the 140 melanoma cases, the median age at HCT was 46 years (range, 1-73 years), 56% were male, and median time from HCT to melanoma was 4 years (range <1-24 years). Patients were most frequently transplanted for chronic myeloid leukemia (24%) followed by acute myeloid leukemia (18%), acute lymphoblastic leukemia (18%), and non-Hodgkin lymphoma (12%). Multivariable analysis showed that melanoma risk was statistically significantly increased among HCT survivors who received myeloablative conditioning regimens with total body irradiation [odds ratio (OR), 95% confidence interval (95%CI): 1.8, 1.0-3.2] or reduced intensity conditioning regimens containing melphalan (OR, 95%CI: 2.6, 1.1-6.0) or fludarabine (OR, 95%CI: 2.7, 1.0-7.3) compared with those receiving a busulfan-containing myeloablative conditioning regimen; acute graft-versus-host disease (GvHD) with stage 2+ skin involvement (OR, 95%CI: 1.9, 1.2-3.1) versus no acute GvHD; chronic GvHD without skin involvement (OR, 95%CI: 1.9, 1.0-3.6) versus no chronic GvHD; and occurrence of keratinocytic carcinoma (OR, 95%CI: 2.4, 1.2-4.8; median time from keratinocyte carcinoma to melanoma: cases=3.5 years, controls=2.8 years). In exploratory analyses of these factors by patient subgroup, melanoma risks associated with acute GvHD stage 2+ skin involvement were especially increased among individuals of younger age at HCT (age<40 years: OR, 95%CI: 3.2, 1.4-7.4) but not among those of older age at HCT. In the multivariable model, no significant associations were observed with other patient and transplant characteristics, including graft source and ex-vivo or in-vivo T-cell depletion. Conclusion In the largest study to date of melanoma risk factors following allogeneic HCT, we report novel associations with specific conditioning regimens, occurrence of acute and chronic GvHD, and occurrence of keratinocyte carcinoma. Our results emphasize the importance of adherence to current surveillance guidelines for HCT recipients, specifically routine skin examination, heightened skin cancer awareness, and photoprotection recommendations, particularly for those survivors at highest risk. Disclosures No relevant conflicts of interest to declare.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254772
Author(s):  
Birgit Sadoghi ◽  
Karin Schmid-Zalaudek ◽  
Iris Zalaudek ◽  
Regina Fink-Puches ◽  
Anna Niederkorn ◽  
...  

Background Melanocytic nevi have a complex evolution influenced by several endogenous and exogenous factors and are known risk factors for malignant melanoma. Interestingly, tobacco use seems to be inversely associated with melanoma risk. However, the association between tobacco use and nevi and lentigines has not yet been evaluated. Methods We investigated the prevalence of nevi, atypical nevi, and lentigines in relation to tobacco smoking in a cohort of 59 smokers and 60 age- and sex-matched nonsmokers, using a questionnaire and performing a total body skin examination by experts. Results No significant differences were detected between smokers and nonsmokers in the numbers of nevi, atypical nevi, and lentigines in sun-exposed areas (p = 0.966, 0.326, and 0.241, respectively) and in non-sun-exposed areas (p = 0.095, 0.351, and 0.546, respectively). Conclusion Our results revealed no significant differences in the prevalence of nevi, atypical nevi, and lentigines between smokers and nonsmokers in sun-exposed and non-sun-exposed areas.


2019 ◽  
Vol Volume 14 ◽  
pp. 1851-1858
Author(s):  
Valeria Calsolaro ◽  
Rachele Antognoli ◽  
Giuseppe Pasqualetti ◽  
Chukwuma Okoye ◽  
Ferruccio Aquilini ◽  
...  

2020 ◽  
Vol 2 (35) ◽  
pp. 149-159
Author(s):  
Aline Okipney ◽  
Jéssica Romanelli Amorim de Souza ◽  
Antonio Carlos Ligocki Campos ◽  
Leticia Fuganti Campos ◽  
Paula Rodrigues Anjo ◽  
...  

Introduction: The intestinal microbiota has a symbiotic relationship with the human being. Its alteration, known as dysbiosis, can result in several diseases. Some risk factors may predict the occurrence of this condition. The purpose of this study was to evaluate the effectiveness of the National Dysbiosis Survey (INDIS) in the risk stratification of hospitalized adult patients that presented with intestinal dysbiosis. Methods: 100 patients hospitalized at the Hospital das Clínicas da UFPR were interviewed through INDIS. In this questionnaire, risk factors for dysbiosis of each patient were established and the dysbiosis degree was stratified in low, medium, high, and very high risk. Results: Most patients were classified as medium (43%) and high risk (39%) of dysbiosis. The univariate analysis revealed an association between the degree of dysbiosis and elderly patients (p=0.034), number of comorbidities (p<0.001), presence of diarrhea or constipation (p<0.001) and medication in use [antibiotic and/or proton pump inhibitor (PII); p<0.001]. In the multivariate analysis, the most important influence in classification was the presence of diarrhea or constipation (OR=3.00, 95% CI [1.73, 5.21] p<0.001) and medication in use (Score 3: OR = 53.4, 95% CI [2.73, 1045.5], p=0.009 and Score 4-8: OR = 1709.1, 95% CI [50.27, 58103.5] p<0.001), both independent predictors of high and very high risk of dysbiosis. Conclusion: The risk degree of intestinal dysbiosis is greater in the presence of diarrhea or constipation, the use of antibiotics and/or PII, and in elderly patients. Once the risks of dysbiosis have been defined, INDIS proved to be an effective and rapid tool for risk stratification of dysbiosis in the study population, future studies should determine the relevance of therapeutic interventions with the purpose of normalizing the intestinal flora.


2022 ◽  
Vol 12 (1) ◽  
pp. 47
Author(s):  
Yi-Ling Lin ◽  
I-Chen Chen ◽  
Jung-Hsing Yen ◽  
Chih-Sheng Lai ◽  
Yueh-Chi Tsai ◽  
...  

Background: Invasive candidiasis (IC) is a major cause of morbidities and mortality in patients hospitalized with major burns. This study investigated the incidence of IC in this specific population and analyzed the possible risk factors. Materials and Methods: We retrospectively analyzed data from the National Health Insurance Research Database (NHIRD) of Taiwan. We identified 3582 patients hospitalized with major burns on over 20% of their total body surface area (TBSA) during 2000–2013; we further analyzed possible risk factors. Result: IC was diagnosed in 452 hospitalized patients (12.6%) with major burns. In the multivariate analysis, patients older than 50 years (adjusted odds ratio (OR) = 1.96, 95% confidence interval (CI) 1.36–2.82), those of female sex (adjusted OR = 1.33, 95% CI 1.03–1.72), those with burns on the head (adjusted OR = 1.33, 95% CI 1.02–1.73), and those with burns over a greater TBSA had higher risks of IC. Conclusion: Treating IC is crucial in healthcare for major burns. Our study suggests that several risk factors are associated with IC in patients hospitalized with major burns, providing reliable reference value for clinical decisions.


10.2196/16981 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e16981
Author(s):  
Yang Xiang ◽  
Hangyu Ji ◽  
Yujia Zhou ◽  
Fang Li ◽  
Jingcheng Du ◽  
...  

Background Asthma exacerbation is an acute or subacute episode of progressive worsening of asthma symptoms and can have a significant impact on patients’ quality of life. However, efficient methods that can help identify personalized risk factors and make early predictions are lacking. Objective This study aims to use advanced deep learning models to better predict the risk of asthma exacerbations and to explore potential risk factors involved in progressive asthma. Methods We proposed a novel time-sensitive, attentive neural network to predict asthma exacerbation using clinical variables from large electronic health records. The clinical variables were collected from the Cerner Health Facts database between 1992 and 2015, including 31,433 adult patients with asthma. Interpretations on both patient and cohort levels were investigated based on the model parameters. Results The proposed model obtained an area under the curve value of 0.7003 through a five-fold cross-validation, which outperformed the baseline methods. The results also demonstrated that the addition of elapsed time embeddings considerably improved the prediction performance. Further analysis observed diverse distributions of contributing factors across patients as well as some possible cohort-level risk factors, which could be found supporting evidence from peer-reviewed literature such as respiratory diseases and esophageal reflux. Conclusions The proposed neural network model performed better than previous methods for the prediction of asthma exacerbation. We believe that personalized risk scores and analyses of contributing factors can help clinicians better assess the individual’s level of disease progression and afford the opportunity to adjust treatment, prevent exacerbation, and improve outcomes.


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