Abstract
Background
Melanoma is one of the most fatal skin cancers, with rising incidence and mortality worldwide. From diagnosis to treatment, patient experiences often involve anxiety, symptom burden, and limited access to information which profoundly impacts health outcomes.
Objective
This systematic review aims to identify and analyze major barriers melanoma patients face throughout their healthcare journey.
Methods
Studies were identified from PubMed, Scopus, Web of Science, Embase, and Cochrane Library, supplemented by manual hand-searching. Eligible studies focused on the experiences of melanoma patients, addressed knowledge gaps and barriers to care throughout the patient journey, and were published in English between 2013 and 2023. Screening and extraction were conducted independently and in duplicate. The methodological quality of the included studies was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria.
Results
Out of 2,257 screened articles, 183 met the inclusion criteria. Studies were categorized into four major themes: intersectionality, treatment, diagnosis/prognosis, and patient/societal burden. Commonly explored subcategories included self-examination, risk factors, and drug efficacy.
Conclusions
Melanoma patients experience significant gaps throughout their healthcare journey. Identifying areas of improvement in current practices is the first step toward developing targeted solutions that improve the patient experience and quality of life.
Keywords: Melanoma, skin cancer, patient journey, healthcare disparities, patient-centered care
ARTICLE HIGHLIGHTS
Despite advances in immunotherapy and targeted therapy, melanoma remains the deadliest skin cancer, with rising global incidence and persistent disparities in diagnosis, treatment, and survival outcomes
Major gaps in care were identified across four domains: intersectionality (race, sex, socioeconomic status, geography), treatment (efficacy, adverse effects, access), diagnosis/prognosis (early detection, guideline inconsistency, artificial intelligence), and patient/societal burden (psychological distress, education, quality of life)
Racial/ethnic minorities, low-income individuals, and rural residents face delayed diagnoses and poorer outcomes, while gaps in follow-up care and patient education undermine self-examination and long-term survivorship
Future efforts should prioritize equitable, patient-centered care, improved educational initiatives, and inclusive research addressing underserved populations, including Indigenous and LGBTQ+ communities
1. Introduction
Despite significant advances in the treatment of malignant melanoma, it remains the deadliest form of skin cancer [1–3]. With an estimated 325,000 cases and 57,000 deaths worldwide [4], addressing melanoma is a critical public health priority. Projections based on 2020 trends suggest that incidence and mortality could rise by approximately 50% and 68%, respectively, within the next two decades [4]. Simultaneously, there remains a notable gap in the literature regarding the emotional well-being and distress associated with melanoma [5,6].
A decade after the introduction of immune checkpoint inhibitors (ICIs) and targeted therapy (TT), alongside recent enhancements in telemedicine and artificial intelligence (AI), clinical standards for melanoma are evolving rapidly. As a result, current understandings of the melanoma patient journey necessitate a comprehensive review of recent clinical advancements, gaps in the literature, and policy shortcomings from a patient-centered perspective. In response to these considerations, a review was conducted to recognize crucial factors impacting the quality of life for melanoma patients. The objective of this study was to assess the current landscape of research on these issues and identify areas where further investigation is needed.
2. Methods
This review was initially conceived as a scoping review but was subsequently refined into a systematic review. Consequently, the associated protocol did not meet the submission criteria.
2.1. Study design and data sources
A comprehensive review was conducted in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Studies were identified by searching PubMed, Scopus, Web of Science, Embase, and the Cochrane Library on December 27, 2023. With asterisks representing truncation, the search strategy consisted of “melanoma”; “diagnos*,” “treat*,” “prognos*,” or “prevent*”; “healthcare*,” “physician*,” “patient*,” “manag*,” “system*,” “communit*,” “grassroot*,” “patient experience*,” “experien*,” “lifestyl*,” “guideline*,” “barrier*,” “challenge*,” or “obstacle*”; and relevant geographic constraints/article filters based on inclusion criteria. Studies were included if they: (1) focused on melanoma patients, (2) examined diagnostic, prognostic, therapeutic or societal gaps/solutions, (3) were published in English, and (4) were conducted between 2013 and 2023. The exclusion criteria consisted of (1) conference abstracts/posters, (2) non-peer-reviewed sources, and (3) the majority of studied patients/articles from outside of European Union (EU) member states, the United States (US), Canada, Australia, the United Kingdom (UK), and Switzerland.
Reference lists of included studies from PubMed were hand-searched using Python. The similar articles section and reference lists were extracted, including the five PubMed-suggested articles and only references with valid PubMed links, thereby excluding grey literature. Articles without a PubMed page or with ambiguous search results were excluded. Articles lacking a reference list on PubMed did not have their reference list searched. Automation code is available upon request.
2.2. Study selection and data extraction
Five reviewers (AA, JC, YCJ, YM, and AD) performed a pilot test followed by title and abstract screening independently and in duplicate. Full-text review was also conducted independently and in duplicate. At both stages of the review, conflicts were resolved by a blinded third reviewer. Reviewers AA and JC subsequently independently piloted the data extraction form using a random sample of studies, implementing necessary revisions within Covidence based on their evaluation. Extracted data included study location, study design, population type, sample size, demographic characteristics (age, sex, and race), melanoma subtype, intervention details, outcomes, and gaps identified through the patient journey with melanoma.
2.3. Risk of bias assessment
The risk of bias in the included studies was independently assessed in duplicate by seven reviewers (AA, JC, YCJ, AZO, YM, AD, and AX). To evaluate the quality and certainty of evidence, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool was used. This approach examines key factors within the evidence-to-decision framework, including sequence generation, allocation concealment, blinding of participants, personnel, and outcome assessors, incomplete outcome data, selective outcome reporting, and other sources of bias.
3. Results
3.1. Study selection and characteristics
The database search and hand-searching process yielded a total of 2,257 studies, of which 260 duplicates were removed. A total of 1,514 studies were excluded during title and abstract screening, and another 298 were excluded during full-text review. Detailed information regarding the full-text review process is provided in Figure 1. Overall, 183 studies met the inclusion criteria for data extraction and risk of bias assessment.
Figure 1.
PRISMA diagram for included studies.
The 183 studies in this review included 100 cohort studies and/or retrospective analyses [7–106], 32 literature reviews or qualitative patient research/interviews [107–138], 19 systematic reviews and/or meta-analyses [139–157], 9 cross-sectional studies [158–166], 8 randomized controlled trials (RCTs) [167–174], and 15 mixed/other methods studies [175–189]. Geographically, 73 studies were conducted in the US, 27 in individual EU countries, 26 in Canada, 12 in Australia, 6 in China, 2 in Switzerland, 2 in the UK, and 35 across multiple countries.
3.2. Outcomes
The analysis of the included studies resulted in the identification of four main themes related to gaps in melanoma care: intersectionality, treatment, diagnosis/prognosis, and patient/societal burden. These themes were further divided into subcategories (Table 1). Each subcategory was analyzed, with greater emphasis placed on studies with a lower risk of bias (see Risk of Bias Assessment); however, every included study was analyzed.
Table 1.
Summary of results and key articles.
| Theme | Subcategory | Summary of results* | Relevant studies |
|---|---|---|---|
| Intersectionality | Access to care | There are barriers at various stages of care (diagnosis, treatment, and follow-up), particularly for individuals in rural and remote areas, where limited access to specialists often leads to delays. While telemedicine has shown promise in addressing these gaps, challenges such as difficulties with technology navigation, long wait times, inadequate insurance coverage, and lack of patient support persist. | [47,51, 144,158] |
| Race and ethnicity | Black and Hispanic patients often experience later-stage diagnoses and poorer outcomes due to limited access to care, lower awareness, and cultural barriers. Factors such as language barriers, mistrust of the healthcare system, and challenges in recognizing melanoma appearance in darker skin tones contribute to delays in both diagnosis and treatment. | [40,54, 72,117,184] | |
| Sex-based gaps | Female patients generally have higher survival rates than male patients, likely due to hormonal factors. For instance, estrogen receptor β is thought to function as a tumor suppressor gene in various tissue types, which may help explain differences in survival outcomes. Malignant melanomas during pregnancy are relatively common, yet studies show no clear evidence of poorer survival rates compared to non-pregnant women. | [38,50, 65,95, 112,141,183] | |
| Socioeconomic status | Lower socioeconomic status is strongly associated with worse outcomes in nearly all aspects of melanoma care. This association is exacerbated when patients encounter direct financial barriers that hinder their access to treatment. | [29,40, 47,144] | |
| Treatment | Drug efficacy | The advent of immune checkpoint inhibitors and targeted therapy has significantly improved outcomes for melanoma patients. Ongoing and future research aims to investigate the scope and underlying pathophysiological mechanisms of adverse reactions, resistance to these novel therapies, and their application to rare melanoma subtypes. | [24,31, 42,44, 59,61, 66,86, 89,93, 119,121, 123,125,171] |
| Wait times | Several factors, including rural residency, lower education level, non-white ethnicity, and age, have been linked to longer wait times for patients. In particular, older individuals with private insurance experience longer wait times compared to their younger, publicly insured counterparts. | [13,82,161] | |
| Follow-up care | Despite a desire to reduce the frequency of follow-up appointments, given that most melanoma recurrences are detected by patients themselves, many patients desire more physician contact and enhanced education on melanoma screening. | [55,122, 131,161, 167,182] | |
| Diagnosis/prognosis | Identification | Clinical guidelines should incorporate newer therapeutic treatments, address melanoma presentation in darker skin tones, and outline effective strategies for treating advanced melanoma while prioritizing early diagnosis and encouraging patient participation in clinical trials. Additionally, emphasis should be placed on enhancing patient education, integrating artificial intelligence into diagnostic processes, and ensuring equitable access to therapies, particularly for individuals from low socioeconomic backgrounds. | [109,115, 128,148,179] |
| Risk factors | Risk factors such as genetic markers, body mass index, gender, alcohol consumption, and self-examinations were examined. Certain risk factors are associated with various outcomes, including an increased prevalence of subsequent primary melanomas, relapse, and differences in progression-free and overall survival. | [62,76, 77,96, 101,138, 152,185] | |
| Self-examination | Skin self-examination is crucial for melanoma survivors, yet adherence remains low (<20%). Interventions such as education and digital tools have been shown to improve adherence, self-efficacy, and quality of life. Psychological factors and partner dynamics also play a role in influencing adherence. Longitudinal studies reveal diverse adherence patterns, underscoring the need for multidisciplinary approaches to enhance early detection and outcomes. | [8,22, 23,36, 64,110, 160,170, 176,181] | |
| Education | Melanoma patients exhibit critical knowledge gaps, with only 5% able to recognize key melanoma characteristics, and many are unaware of important factors such as Breslow thickness or mitosis index. Patients prefer diverse educational methods, particularly oral guidance and YouTube videos for self-monitoring. The absence of standardized training for primary care providers, combined with the emotional burden melanoma patients often face, underscores the need for comprehensive educational programs that address both medical and psychological needs. | [26,101, 128,135,154] | |
| Patient/societal burden | Quality of life | The majority of melanoma patients express declines in their quality of life, often citing feelings of being dismissed from the healthcare system, which compounds the overwhelming experience of receiving a sudden diagnosis. Additionally, patients report fundamental communication barriers between themselves, their families, and healthcare providers. | [74,87, 133,135,145] |
See discussion for detailed explanations.
3.3. Risk of bias assessment
The risk of bias was low in 143 studies (78.1%), moderate in 22 studies (12%), and high in 18 studies (9.8%).
4. Discussion
4.1. Intersectionality
4.1.1. Access to care
Studies examining access to care for melanoma patients reveal significant barriers at various stages of the patient journey, including specialist referral, initial diagnosis, and treatment initiation. For instance, a study investigating the use of immunotherapy for metastatic melanoma found that underinsured patients were 2.44 times more likely to receive treatment at hospitals with low immunotherapy prescribing rates [51]. Geographic disparities were a prominent theme, with patients in rural and remote areas often experiencing delays due to limited access to dermatologists and oncologists. In a study exploring factors associated with delayed melanoma diagnosis, geographic location was found to be significantly associated with a diagnosis of advanced-stage disease [47]. Although some studies highlighted the potential of telemedicine to mitigate these access gaps, its effectiveness is not always consistent. For example, an RCT demonstrated that teledermoscopy did not improve the sensitivity of skin cancer detection [82]. Additionally, systemic issues such as lengthy wait times for appointments, limited specialist availability, inadequate health insurance coverage, and lack of patient navigation support were identified as key challenges [47, 158]. Collectively, these findings underscore the need for integrated, patient-centered approaches to ensure equitable access to healthcare throughout a patient’s journey with melanoma.
4.1.2. Race and ethnicity
Studies focusing on race and ethnicity in melanoma care reveal significant disparities in diagnosis, treatment, and patient-reported outcomes. Racial and ethnic minorities, particularly Black (p = 0.024) and Hispanic (p < 0.001) populations were more likely to experience later-stage diagnoses and poorer outcomes compared to their White counterparts [72]. These disparities were often attributed to lower awareness of risk factors and reduced access to care. For example, Black individuals are significantly less likely to receive surgical resection treatment for localized disease, despite its well-established benefits in improving survival rates. Cultural factors, language barriers, and mistrust of the healthcare system stemming from historical injustices further exacerbated delays in seeking and receiving care. These have contributed to a lower 5-year survival rate among Black individuals compared to their White counterparts (58.8% vs 84.8%) [72]. Furthermore, some studies noted challenges in recognizing melanoma in individuals with darker skin tones, often resulting in delayed or missed diagnoses [117, 184]. To address this, research suggests increasing the availability of melanoma images featuring darker skin tones. Overall, these findings emphasize the need for targeted strategies to address racial and ethnic disparities in melanoma care, ensuring that all melanoma patients receive timely and accurate care.
4.1.3. Sex-based gaps
Differences in biological sex significantly impact the survival outcomes of melanoma patients, with female patients generally experiencing better cancer-specific survival (CSS) rates than their male counterparts. For instance, women under 45 years of age showed markedly higher CSS rates compared to men of the same age group for stage II and III melanoma. Unadjusted 3- and 5-year CSS estimates were 64.2% vs. 59.7%, and 53.5% vs. 49.9%, respectively (p ≤ 0.0001) [43]. The literature suggests that differences in hormonal and genetic composition may be the reason for this disparity. For example, estrogen receptor β (ERβ) expression is thought to be a key modulator of tumor behavior. When estrogen binds to its receptor, it triggers tumor suppression in various tissues, including the skin. Research indicates that ERβ expression decreases as disease severity and tumor aggressiveness increase, with the highest expression found in benign cases and the lowest in malignant disease [43]. Additionally, genomic analysis of metastatic melanoma, including whole exome sequencing, reveals a higher frequency of missense mutations in male tumor samples. Studies of ultraviolet (UV) hotspot mutations suggest these genetic differences are not primarily caused by environmental factors such as UV light exposure, but may instead reflect intrinsic genetic differences [43].
Pregnancy-associated melanoma (PAM) is another factor contributing to the sex-based survival gap between female and male patients. Approximately one-third of melanomas in women occur during their child-bearing years, making melanoma one of the most common malignancies during pregnancy. PAM occurring postpartum is also associated with greater tumor thickness compared to non-PAM cases, with a difference of 2.01–4.00 mm vs. 0.01–1.00 mm, respectively [50]. Additional factors, such as the impact of PAM on mental health and emotional well-being, remain unclear and warrant further investigation.
4.1.4. Socioeconomic status
Socioeconomic status (SES) plays a critical role in the survivability of melanoma patients at all stages of the patient journey. Often measured through factors such as income, education, occupation, and social perception, SES can also be represented indirectly by aspects such as insurance coverage. Together, these factors can severely impact one’s ability to manage and access melanoma care. Lower SES is linked to delayed diagnoses, limited access to treatment, and detection at more advanced disease stages. In particular, a study by Cortez et al. in Florida found that from 1999 to 2008, every 1% increase in poverty was associated with a 2% increase in late-stage melanoma diagnoses (p < 0.001) [144].
Patients with lower SES also face restricted access to treatment and care. For example, in the US, patients with Medicaid, the country’s government-sponsored health insurance program, were significantly more likely to experience delays in surgery for therapeutic excision compared to those with private insurance. This trend was also seen in the ability to access innovative therapies and dermatologic coverage for certain cases [144]. Additionally, studies have shown that lower levels of education are associated with a higher probability of a stage IV diagnosis. Individuals with lower levels of education may be less aware of their risk for melanoma, leading to a failure to seek regular skin examinations. Research has also found that patients without a high school diploma received fewer instructions from their physicians on how to identify signs of melanoma, were less likely to be informed about their risk of skin cancer, and less likely to have discussions about skin cancer at all [29]. As a result of these factors, patients with lower SES face poorer overall and melanoma-specific survival rates compared to their higher SES counterparts. This underscores the urgent need for equitable healthcare policies, advocacy initiatives, and preventative or screening programs to address SES-related disparities and improve melanoma survival outcomes.
4.2. Treatment
4.2.1. Drug efficacy
While most melanoma patients are diagnosed with resectable stage I or II disease, outcomes for more advanced melanomas remain poor, with a 5-year overall survival (OS) of less than 19% [123]. The introduction of ICIs and TT in 2011 revolutionized treatment for metastatic melanoma. Prior to these novel treatments, traditional chemotherapies such as dacarbazine struggled to improve patient outcomes, with median OS ranging from 5 to 11 months [121]. ICIs and TT have improved survival, with median OS now exceeding 20 months in some cases. Ongoing research is exploring their efficacy as second-line therapies or in combination with surgery and radiation [61,121]. However, due to their relatively recent introduction, optimizing dosages, managing adverse effects, and identifying prognostic factors remain areas of further investigation.
ICIs work by enhancing the immune response against melanoma, primarily targeting specific immune receptors [121]. In practice, combination therapies have shown superior efficacy compared to monotherapy. For instance, phase I trials reviewed by Michielin et al. demonstrated that the ipilimumab and nivolumab (N/I) combination achieved an 85% 1-year OS compared to 46% and 73% for ipilimumab and nivolumab, respectively [121]. Beyond aiming to improve survival outcomes, current research on ICI combination therapy focuses on reducing adverse events (AEs) for patients. The Checkmate 218 program reported that 96% of ICI recipients experienced AEs, which most commonly included fatigue, diarrhea, nausea, and pruritus [44]. Severe AEs led to treatment discontinuation in up to 36% of participants. Dai et al. found that 30.5% of second-line ipilimumab recipients required specialist care post-treatment, compared to 19.5% for those receiving alternative second-line therapies. The study also found that ipilimumab patients were more likely to experience hospitalization (odds ratio 1.81) [24].
To mitigate AEs while maintaining survival benefits, research is focused on optimizing ICI dosing regimens. The Checkmate 511 trial demonstrated that 33.9% of patients receiving a regimen of 3 mg/kg nivolumab and 1 mg/kg ipilimumab experienced fewer grade 3–5 AEs compared to 48.3% in those receiving 1 mg/kg nivolumab and 3 mg/kg ipilimumab, while maintaining comparable survival outcomes (median progression-free survival [PFS] of 8.94 months vs. 9.92 months) [171]. Ma et al. explored the impact of treatment discontinuation and found that among patients with similar clinical benefit responses after one or two doses, completing all doses was not significantly associated with improved PFS (p = 0.921) or OS (p = 0.965) [59]. These findings suggest that dose optimization could improve patient quality of life while ensuring treatment efficacy. Currently, AEs are managed through concurrent medications or treatment discontinuation when necessary, but further research is required to refine dosing strategies.
Alongside ICIs, TT has emerged as another novel therapy for metastatic melanoma, particularly for patients with specific genetic mutations. BRAF mutations, which are found in over 50% of melanomas, can be targeted with BRAF inhibitors such as vemurafenib, which has improved OS from 10 to 13.8 months [119]. TT is often favored as a first-line treatment for rapidly progressing patients due to its high objective response rate (ORR), oral administration, and AEs associated with ICIs [125]. Despite these advantages, 50% of patients receiving BRAF inhibitors experience disease progression due to resistance to TT [121]. Studies suggest that resistance develops due to genetic mutations affecting the BRAF/MEK/ERK pathway, with up to 58% of patients exhibiting mutations such as NRAS/KRAS alterations or BRAF splice variants [119].
Although these advancements have improved outcomes for cutaneous melanoma, rare melanomas have seen mixed results. Melanoma of unknown primary (MUP) has benefited from novel therapies, with OS improving from 4 to 11 months in stage IV cohorts. However, some studies have reported worse TT outcomes, with a 47% 1-year survival rate compared to 56% in other studies [89,93]. In contrast, uveal melanoma has shown poor response to both TT and ICI since BRAF mutations are less common in uveal melanoma. 83% of uveal melanomas involve activating mutations in the GNAQ or GNA11 genes [66]. N/I combination therapy has shown promise, increasing ORR to 15.6%, but remains far less effective than in cutaneous melanoma, where ICI monotherapy alone achieves an ORR of 45% [42].
Brain metastases present another challenge in melanoma treatment, as patients with these metastases are frequently excluded from clinical trials, leaving knowledge gaps on the efficacy of ICIs and TT for this subgroup. Some studies have reported improved outcomes, with response rates increasing by up to 31% with novel TT. However, ICIs and TT have not significantly reduced the incidence of brain metastases compared to chemotherapy, likely due to the blood-brain barrier restricting drug penetration [86]. Combination TT approaches have shown limited success, with 87.7% of patients experiencing disease progression and an OS of just 9.5 months [31].
4.2.2. Wait times
Conic et al. identified wait times as a significant prognostic factor, with delays exceeding 90 days correlating with a 29–41% decrease in OS [161]. Expanding on this, Baranowski et al. explored socioeconomic and health-related factors contributing to longer wait times. Their analysis revealed that non-White minorities and individuals with lower educational attainment, nonmetropolitan residency, and multiple comorbidities were more likely to experience treatment delays [13].
4.2.3. Follow-up care
The MELanoma Follow-up (MELFO) study sparked discussions on reducing follow-up frequency. Since almost 75% of melanoma recurrences are detected by patients themselves and in between follow-up visits, researchers have hypothesized that reducing follow-up frequency may not compromise detection accuracy or patient care. Damude et al. demonstrated that reducing physician interactions resulted in an average cost reduction of 45% per patient [167]. Despite this finding, studies on patient perspectives of follow-up care suggest a strong preference for physician-led detection, with significantly lower satisfaction scores in the reduced physician interaction group (p = 0.01). Lim et al. found many patients lack confidence in their ability to perform self-examinations, with only 38% feeling capable of detecting lesions [55]. Similarly, Mitchell et al. reported widespread dissatisfaction with the current state of follow-up care, with 64.1% of respondents expressing a desire for further education and communication from their healthcare providers [182]. Given these concerns, any modifications to follow-up protocols must account for the preference of patients for less independent follow-up arrangements.
4.3. Diagnosis/prognosis
4.3.1. Identification
Studies analyzing melanoma diagnosis and identification guidelines have highlighted key areas for improvement, including enhancing early detection, addressing missed diagnostic opportunities, evaluating the efficacy of post-diagnosis follow-up protocols, and comparing international guidelines to identify more predictive classification methods. Clinical guidelines are important to account for emerging treatments and consider the presentation of melanoma in minority groups, including African American, Asian, and Hispanic populations.
Evaluations of guideline effectiveness have underscored that standardized, evidence-based guidelines can lead to earlier diagnosis and prevent disease progression. However, inconsistencies in follow-up protocols remain. While less than 5% of melanoma recurrences occur beyond five years post-treatment, studies suggest that the risk of developing subsequent primary melanoma persists for more than a decade after initial diagnosis. Thus, establishing clear guidelines that integrate time-limited clinical follow-ups with lifelong self-examinations could significantly improve relapse detection. Nonetheless, effective treatment strategies for advanced melanoma remain limited, contributing to variability in treatment recommendations and decreasing OS rates [179]. The literature suggests that increasing patient participation in RCTs and a shift toward personalized cancer therapies can help address gaps in treatment. As research evolves, a universal, scientifically validated melanoma treatment framework may provide patients with optimal care and improved long‐term survival outcomes [179].
Educational initiatives were also emphasized as critical for both the general public and medical professionals. Technological advancements, such as dermatoscopes, sequential digital dermoscopy imaging, and teledermatology, could lead to earlier detection and reductions in disease-specific mortality [115]. For example, a teledermatology study found that over 50% of cases could be managed without the need for a dermatologist, leading to a 78% reduction in wait times for in-person appointments. Expanding training programs and melanoma education programs can help alleviate the burden on dermatologists while enhancing patient outcomes.
AI has emerged as a promising tool in melanoma diagnosis, with deep convolutional neural networks performing at diagnostic levels comparable to dermatologists [109]. However, concerns remain regarding potential racial and socioeconomic biases embedded in AI algorithms. Since melanoma exhibits unique demographic, clinical, and genetic characteristics in African American, Asian, and Hispanic populations, including in gender prevalence and subtype, it is critical to ensure that AI models are trained on diverse datasets. Addressing these concerns is imperative for improving early detection and treatment [148].
While self-screenings, non-specialist detection, and new technologies offer new diagnostic opportunities, they also raise some concerns about overdiagnosis, increased healthcare costs, and uncertain survival benefits [115]. Equal access to diagnostic and therapeutic advancements must be prioritized, particularly for individuals from low socioeconomic backgrounds, without regular physician contact or smartphone access, and those from rural areas [115].
4.3.2. Risk factors
The literature has evaluated a range of risk factors associated with melanoma prognosis, treatment response, and relapse, including genetic markers, body mass index (BMI), gender, alcohol consumption, and self-examination practices. The risk of developing a subsequent primary melanoma varies significantly between individuals and is particularly high for those with two or more primary melanomas [175]. Notably, 13.4% of patients with a high-risk primary melanoma experience disease recurrence within two years [96]. Tumor location on the head or neck, sentinel lymph node biopsy positivity, and signs of rapid tumor growth are other key predictors of relapse [96]. Recent evidence also indicates that a high nevus count (>50) is associated with favorable prognostic features—such as lower Breslow thickness, reduced ulceration, and improved 5- and 10-year melanoma-specific survival—even among patients with positive sentinel lymph nodes [190].
The presence of brain and liver metastases has been associated with shorter PFS and OS following second-line treatment. High lactate dehydrogenase levels have also emerged as a clinically significant biomarker, correlating with shorter survival in patients receiving anti-PD1 immunotherapy after BRAFi/MEKi combination therapy [185]. However, the same study emphasized that patients with high tumor burden, including brain metastases, may benefit from second-line therapy, with approximately 20% achieving an ORR exceeding 65% and another 20% experiencing disease stabilization. While the relationship between alcohol consumption and melanoma risk remains unclear, evidence suggests that downregulation and inactivation of ethanol-metabolizing enzymes may play a role in preventing melanoma initiation and progression [138]. Further research incorporating molecular and translational analyses is needed to identify additional predictive and prognostic biomarkers. Advancing the study of biomarkers will enhance treatment decision-making and improve outcomes, ultimately facilitating a more personalized approach to melanoma management.
BMI has been significantly investigated as a prognostic factor, with many studies reporting an association between higher BMI and improved survival outcomes. McQuade et al. found that obese patients had a median OS of 33 months compared to 19.8 months for those with a normal BMI. This trend was observed in both ICI and TT recipients, though the survival benefit was only significant in men [62]. Naik et al. further corroborated this finding, reporting a median PFS of 683 days in overweight and class I obese patients compared to 135–163 days in those with a BMI below 25 [65]. However, Donnelly et al. attempted to replicate these findings and found no significant difference in most survival outcomes, except for a positive correlation between overweight (p = 0.02) and obese (p = 0.01) ICI recipients and improved PFS [30]. Interestingly, the authors also found a correlation between weight gain during treatment and worse disease response, suggesting that actively increasing weight during treatment does not improve outcomes [30]. Finally, Rutkowski et al. found no significant impact of BMI on disease control rate, PFS, and OS in patients with metastatic melanoma receiving immune ICIs [77]. Given these conflicting findings, further research is needed to establish a consensus on the implications of BMI on melanoma prognosis and treatment response.
The impact of melanoma screenings on prognosis has also been explored. In one study, community screening initiatives led to a 79% increase in melanoma diagnoses [101]. However, there was no significant increase in rates of skin surgeries or dermatology visits. These findings suggest that while community screenings can enhance melanoma detection, their broader impact on patient outcomes remains uncertain. To meaningfully improve prognosis following a melanoma diagnosis, efforts should focus not only on expanding screening initiatives but also on increasing access to affordable care and specialized physicians.
4.3.3. Self-examination
Skin self-examination (SSE) is an important early detection practice for melanoma survivors and patients at risk; however, its implementation remains hindered by various challenges. Despite professional recommendations, patient adherence remains low, with fewer than 25% of survivors conducting monthly checks and only 14.2% performing a thorough full-body examination [23,36]. However, novel interventions are showing promise in improving SSE practices. For example, educational programs have increased self-efficacy by 23%, with benefits lasting up to a year [176]. Additionally, digital tools such as tablet-based support systems have increased SSE frequency, reduced patient anxiety, and improved quality of life [64].
Psychological and relational factors also play a role in SSE adherence [8]. Patients with lower levels of depression, stronger action planning, and well-defined intentions are more likely to consistently engage in SSE. Additionally, partner dynamics is a key moderating factor, as relationship quality can significantly enhance adherence by creating opportunities for one partner to help or remind the other at-risk partner [170]. Furthermore, self-efficacy scales designed specifically for melanoma patients provide insights into barriers to SSE, emphasizing the influence of physician support, examination intentions, and psychological stress [160]. Longitudinal studies tracking monthly SSE have identified three distinct patient trajectories: adherent (41%), drop-off (35%), and non-adherent (24%), indicating the need for tailored intervention strategies to support each group [22]. To improve early detection and long-term outcomes, a multidisciplinary approach integrating educational initiatives, technological solutions, and psychosocial support is essential [110,181].
4.3.4. Education
Significant gaps in patient education impact melanoma prognosis and patient outcomes. Notably, only 5% of melanoma patients can correctly identify all four key tumor characteristics [26]. This knowledge gap extends to important medical information: 34% of patients require clarification on their Breslow Tumor Index thickness, 33% do not understand ulceration features, and 65% struggle to understand the specifics of mitosis. These gaps highlight the need for comprehensive, multi-faceted educational programs to improve patient understanding of their condition.
Studies indicate that patients prefer diverse educational formats, with 92% favoring verbal information from physicians, 62% engaging with video resources, and 43% using traditional brochures [26]. More than three-quarters of patients reported value in YouTube videos on self-inspection of the skin and lymph nodes. These findings suggest that patient education on melanoma and early detection can be significantly improved through accessible digital platforms. There is also a need to enhance educational approaches by complementing information with self-monitoring and early detection methods for possible melanoma changes.
Another important component in improving the prognosis of melanoma patients is enhancing the education of primary care providers (PCPs) [128,154]. Currently, there is no standardized curriculum for skin cancer examinations and available training programs vary widely in their content, delivery methods, and effectiveness [154]. However, the INternet curriculum FOR Melanoma Early Detection (INFORMED) program demonstrated a 79% increase in melanoma diagnoses among trained PCPs, showing the promise of educational interventions for healthcare providers [101]. Beyond medical knowledge, the emotional burden of a melanoma diagnosis and treatment must also be addressed. Nearly 41% of patients report experiencing emotional distress, including worry, fear, and self-consciousness, which can negatively impact their well-being and treatment adherence [135]. Integrating empathetic, comprehensive education that combines medical information with psychological support can help alleviate this burden.
4.4. Patient/societal burden
4.4.1. Quality of life
The current literature on melanoma and melanoma patients has identified numerous gaps in patient quality of life that the healthcare system must address [74,87]. Some studies have indicated that the development of enhanced predictive prognostic tools could facilitate more informed discussions between healthcare teams and patients/families regarding treatment options and survival outcomes. Additionally, Vogel et al. reported that 50% of study participants felt overwhelmed by the fast pace of melanoma diagnosis and treatment, indicating their psychological care after receiving a potentially life-altering diagnosis was often overlooked [133]. It should be noted that while the time frame from diagnosis to treatment is rapid, numerous patient-specific factors such as non-white skin, low educational attainment, and non-central residency, have all been found to cause inequitable delays [13].
Many melanoma patients report a decreased quality of life due to the overwhelming nature of their diagnosis, surgery/treatment, and recovery process. In particular, there are gaps in psychosocial care, with many patients expressing frustration and anger over being dismissed by healthcare professionals regarding melanoma concerns. This lack of support often leaves patients unprepared for the sudden diagnosis that follows. Rogiers et al. reported that 53% of melanoma survivors experienced clinical levels of anxiety and/or depression [74,133]. Despite advancements in melanoma treatment, studies show that many patients continue to struggle with post-treatment issues such as anxiety, pain, and subjective cognitive impairment.
4.5. Implications and limitations
This review examined 183 studies focusing on melanoma patients, healthcare perspectives, and gaps or solutions in patient care, revealing significant deficiencies across multiple areas including intersectionality, treatment, diagnosis/prognosis, and patient/societal burden. The literature demonstrates profound variations in the impact of melanoma on factors such as socioeconomic status, education, age, gender, rural residency, and psychosocial conditions. Thus, our review has wide-reaching implications for the healthcare sector, from policy-making and research funding to clinical practices and patient outreach. The gaps identified in this review suggest urgent areas for future research, particularly in exploring novel, patient-centered approaches to address disparities in melanoma care and psychological support for all melanoma patients. This review could not describe the impact of accessibility, LGBTQ+, cultural, and Indigenous disparities on melanoma outcomes due to a lack of relevant research, which constitute other areas of future research.
Given the broad nature of this review and the lack of quantitative data, individual findings should be interpreted with caution. Furthermore, although numerous factors were considered in this review, the generalizability of these findings is limited, as the review focused on regions with healthcare systems similar to those in Canada and the US. Additionally, most of the studies meeting inclusion criteria were observational, and as a result, establishing causative effects may be challenging due to the small number of RCTs. Finally, our review incorporated various literature reviews, but it was ensured that those would not be the sole source of information for any observations. However, it is important to note that some degree of bias may still have resulted from the inclusion of these sources.
5. Conclusion
In this review, gaps in the melanoma patient’s journey from diagnosis onward were analyzed. Through a thorough search of the literature, followed by critical appraisal and analysis of the relevant studies and reviews, four domains of concern were identified: intersectionality, treatment, diagnosis/prognosis, and patient/societal burden. Each domain presents significant challenges for melanoma patients. It is imperative that clinicians, policymakers, and researchers collaborate to address these issues, ensuring the promotion of sustainable, long-term outcomes for all melanoma patients.
Acknowledgements
This manuscript was prepared without the use of generative AI tools. This research was presented at the Society of Investigative Dermatology Annual Meeting, May 8, 2025, San Diego, California.
Funding Statement
This paper was not funded.
Author contributions
Adil Amarsi: Project administration, Visualization, Supervision, Investigation, Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Joy Xu: Conceptualization, Methodology, Supervision, Writing – Review & Editing Josh Chan: Visualization, Supervision, Investigation, Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Yuan Chun Jiang: Methodology, Software, Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Ahmad Zobair Omar: Investigation, Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Yasmin Meghdadi: Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Aashita Doshi: Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Alison Xie: Formal Analysis, Writing – Original Draft, Writing – Review & Editing; Alyssa Wu: Supervision, Writing – Review & Editing;.
Disclosure statement
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Reviewer disclosures
Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.
Writing assistance
No writing assistance was utilized in the production of this manuscript.
References: Papers of special note have been highlighted as either of interest (•) or of considerable interest (••) to readers.
- 1.Zhang W, Zeng W, Jiang A, et al. Global, regional and national incidence, mortality and disability‐adjusted life‐years of skin cancers and trend analysis from 1990 to 2019: An analysis of the Global Burden of Disease Study 2019. Cancer Med. 2021;10(14):4905–4922. doi: 10.1002/cam4.4046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Waseh S, Lee JB.. Advances in melanoma: epidemiology, diagnosis, and prognosis. Front Med (Lausanne). 2023;10:1268479. doi: 10.3389/fmed.2023.1268479 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kahlon N, Doddi S, Yousif R, et al. Melanoma treatments and mortality rate trends in the US, 1975 to 2019. JAMA Netw Open. 2022;5(12):e2245269. doi: 10.1001/jamanetworkopen.2022.45269 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Arnold M, Singh D, Laversanne M, et al. Global burden of cutaneous melanoma in 2020 and projections to 2040. JAMA Dermatol. 2022;158(5):495–503. doi: 10.1001/jamadermatol.2022.0160 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Kasparian NA, McLoone JK, Butow PN.. Psychological responses and coping strategies among patients with malignant melanoma: a systematic review of the literature. Arch Dermatol. 2009;145(12):1415–1427. doi: 10.1001/archdermatol.2009.308 [DOI] [PubMed] [Google Scholar]
- 6.Loquai C, Scheurich V, Syring N, et al. Screening for distress in routine oncological care—a survey in 520 melanoma patients. PLoS One. 2013;8(7):e66800. doi: 10.1371/journal.pone.0066800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Charles I, Khalyfa A, Kumar DM, et al. Serum deprivation induces apoptotic cell death of transformed rat retinal ganglion cells via mitochondrial signaling pathways. Invest Ophthalmol Vis Sci. 2005;46(4):1330–1338. doi: 10.1167/iovs.04-0363 [DOI] [PubMed] [Google Scholar]
- 8.Allan JL, Johnston DW, Johnston M, et al. Describing, predicting and explaining adherence to total skin self-examination (TSSE) in people with melanoma: a 12-month longitudinal study. BMJ Open. 2022;12(8):e056755. doi: 10.1136/bmjopen-2021-056755 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Asai Y, Nguyen P, Hanna TP.. Impact of the COVID-19 pandemic on skin cancer diagnosis: A population-based study. PLoS One. 2021;16(3):e0248492. doi: 10.1371/journal.pone.0248492 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ascierto PA, Simeone E, Sileni VC, et al. Sequential treatment with ipilimumab and BRAF inhibitors in patients with metastatic melanoma: data from the Italian cohort of the ipilimumab expanded access program. Cancer Invest. 2014;32(4):144–149. doi: 10.3109/07357907.2014.885984 [DOI] [PubMed] [Google Scholar]
- 11.Aw K, Lau R, Nessim C.. Prioritizing melanoma surgeries to prevent wait time delays and upstaging of melanoma during the COVID-19 pandemic. Curr Oncol. 2023;30(9):8328–8337. doi: 10.3390/curroncol30090604 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bajaj S, Donnelly D, Call M, et al. Melanoma prognosis: accuracy of the american joint committee on cancer staging manual eighth edition. J Natl Cancer Inst. 2020;112(9):921–928. doi: 10.1093/jnci/djaa008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.* Baranowski MLH, Yeung H, Chen SC, et al. Factors associated with time to surgery in melanoma: An analysis of the National Cancer Database. J Am Acad Dermatol. 2019;81(4):908–916. doi: 10.1016/j.jaad.2019.05.079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bateni SB, Nguyen P, Eskander A, et al. Changes in health care costs, survival, and time toxicity in the era of immunotherapy and targeted systemic therapy for melanoma. JAMA Dermatol. 2023;159(11):1195–1204. doi: 10.1001/jamadermatol.2023.3179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Boczar D, Restrepo DJ, Sisti A, et al. Analysis of melanoma in African American patients in the United States. Anticancer Res. 2019;39(11):6333–6337. doi: 10.21873/anticanres.13844 [DOI] [PubMed] [Google Scholar]
- 16.Cai L, Paez-Escamilla M, Walter SD, et al. Gene expression profiling and PRAME status versus tumor-node-metastasis staging for prognostication in uveal melanoma. Am J Ophthalmol. 2018;195:154–160. doi: 10.1016/j.ajo.2018.07.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chang CL, Schabert VF, Munakata J, et al. Comparative healthcare costs in patients with metastatic melanoma in the USA. Melanoma Res. 2015;25(4):312–320. doi: 10.1097/CMR.0000000000000159 [DOI] [PubMed] [Google Scholar]
- 18.Chao LX, Patterson SSL, Rademaker AW, et al. Melanoma perception in people of color: a targeted educational intervention. Am J Clin Dermatol. 2017;18(3):419–427. doi: 10.1007/s40257-016-0244-y [DOI] [PubMed] [Google Scholar]
- 19.Chen ST, Li X, Han J.. Personal history of non-melanoma skin cancer diagnosis and death from melanoma in women. Int J Cancer. 2018;142(8):1536–1541. doi: 10.1002/ijc.31176 [DOI] [PubMed] [Google Scholar]
- 20.Chu MP, Li Y, Ghosh S, et al. Body composition is prognostic and predictive of ipilimumab activity in metastatic melanoma. J Cachexia Sarcopenia Muscle. 2020;11(3):748–755. doi: 10.1002/jcsm.12538 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cicchiello M, Lin MJ, Pan Y, et al. An assessment of clinical pathways and missed opportunities for the diagnosis of nodular melanoma versus superficial spreading melanoma. Australas J Dermatol. 2016;57(2):97–101. doi: 10.1111/ajd.12416 [DOI] [PubMed] [Google Scholar]
- 22.Coroiu A, Moran C, Bergeron C, et al. Short and long-term barriers and facilitators of skin self-examination among individuals diagnosed with melanoma. BMC Cancer. 2020;20(1):123. doi: 10.1186/s12885-019-6476-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Coups EJ, Manne SL, Stapleton JL, et al. Skin self-examination behaviors among individuals diagnosed with melanoma. Melanoma Res. 2016;26(1):71–76. doi: 10.1097/CMR.0000000000000204 [DOI] [PubMed] [Google Scholar]
- 24.Dai WF, Beca J, Croxford R, et al. Real-world, population-based cohort study of toxicity and resource utilization of second-line ipilimumab for metastatic melanoma in Ontario, Canada. Int J Cancer. 2021;148(8):1910–1918. doi: 10.1002/ijc.33357 [DOI] [PubMed] [Google Scholar]
- 25.Dai WF, Beca JM, Croxford R, et al. Real-world comparative effectiveness of second-line ipilimumab for metastatic melanoma: a population-based cohort study in Ontario, Canada. BMC Cancer. 2020;20(1):304. doi: 10.1186/s12885-020-06798-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Damude S, Hoekstra-Weebers JEHM, Van Leeuwen BL, et al. Melanoma patients’ disease-specific knowledge, information preference, and appreciation of educational YouTube videos for self-inspection. Eur J Surg Oncol. 2017;43(8):1528–1535. doi: 10.1016/j.ejso.2017.06.008 [DOI] [PubMed] [Google Scholar]
- 27.Danish HH, Patel KR, Switchenko JM, et al. The influence of postoperative lymph node radiation therapy on overall survival of patients with stage III melanoma, a National Cancer Database analysis. Melanoma Res. 2016;26(6):595–603. doi: 10.1097/CMR.0000000000000292 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Davis CH, Ho J, Greco SH, et al. COVID-19 is affecting the presentation and treatment of melanoma patients in the Northeastern United States. Ann Surg Oncol. 2022;29(3):1629–1635. doi: 10.1245/s10434-021-11086-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Dick M, Aurit S, Silberstein P.. The odds of stage IV melanoma diagnoses based on socioeconomic factors. J Cutan Med Surg. 2019;23(4):421–427. doi: 10.1177/1203475419847955 [DOI] [PubMed] [Google Scholar]
- 30.Donnelly D, Bajaj S, Yu J, et al. The complex relationship between body mass index and response to immune checkpoint inhibition in metastatic melanoma patients. J Immunother Cancer. 2019;7(1):222. doi: 10.1186/s40425-019-0699-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Drago JZ, Lawrence D, Livingstone E, et al. Clinical experience with combination BRAF/MEK inhibitors for melanoma with brain metastases: a real-life multicenter study. Melanoma Res. 2019;29(1):65–69. doi: 10.1097/CMR.0000000000000527 [DOI] [PubMed] [Google Scholar]
- 32.Eggen AC, Hospers GAP, Bosma I, et al. Anti-tumor treatment and healthcare consumption near death in the era of novel treatment options for patients with melanoma brain metastases. BMC Cancer. 2022;22(1):247. doi: 10.1186/s12885-022-09316-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Enewold L, Sharon E, Harlan LC.. Metastatic melanoma: treatment and survival in the us after the introduction of ipilimumab and vemurafenib. Oncol Res Treat. 2017;40(4):174–183. doi: 10.1159/000456014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Fabregas JC, Carter BT, Lutzky J, et al. Impact of medicaid expansion status and race on metastatic disease at diagnosis in patients with melanoma. J Racial Ethn Health Disparities. 2022;9(6):2291–2299. doi: 10.1007/s40615-021-01166-6 [DOI] [PubMed] [Google Scholar]
- 35.Ghazawi FM, Darwich R, Le M, et al. Uveal melanoma incidence trends in Canada: a national comprehensive population-based study. Br J Ophthalmol. 2019;103(12):1872–1876. doi: 10.1136/bjophthalmol-2018-312966 [DOI] [PubMed] [Google Scholar]
- 36.Glenn BA, Chen KL, Chang LC, et al. Skin examination practices among melanoma survivors and their children. J Cancer Educ. 2017;32(2):335–343. doi: 10.1007/s13187-016-0998-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gualdi G, Porreca A, Amoruso GF, et al. The effect of the COVID-19 lockdown on melanoma diagnosis in Italy. Clin Dermatol. 2021;39(5):911–919. doi: 10.1016/j.clindermatol.2021.05.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Gupta S, Artomov M, Goggins W, et al. Gender disparity and mutation burden in metastatic melanoma. J Natl Cancer Inst. 2015;107(11):djv221. djv221. doi: 10.1093/jnci/djv221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hanna TP, Nguyen P, Baetz T, et al. A population-based study of survival impact of new targeted and immune-based therapies for metastatic or unresectable melanoma. Clin Oncol (R Coll Radiol). 2018;30(10):609–617. doi: 10.1016/j.clon.2018.05.005 [DOI] [PubMed] [Google Scholar]
- 40.Haque W, Verma V, Butler EB, et al. Racial and socioeconomic disparities in the delivery of immunotherapy for metastatic melanoma in the United States. J Immunother. 2019;42(6):228–235. doi: 10.1097/CJI.0000000000000264 [DOI] [PubMed] [Google Scholar]
- 41.Haydu LE, Scolyer RA, Lo S, et al. Conditional survival: an assessment of the prognosis of patients at time points after initial diagnosis and treatment of locoregional melanoma metastasis. J Clin Oncol. 2017;35(15):1721–1729. doi: 10.1200/JCO.2016.71.9393 [DOI] [PubMed] [Google Scholar]
- 42.Heppt MV, Amaral T, Kähler KC, et al. Combined immune checkpoint blockade for metastatic uveal melanoma: a retrospective, multi-center study. J Immunother Cancer. 2019;7(1):299. doi: 10.1186/s40425-019-0800-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hieken TJ, Glasgow AE, Enninga EAL, et al. Sex-based differences in melanoma survival in a contemporary patient cohort. J Womens Health (Larchmt). 2020;29(9):1160–1167. doi: 10.1089/jwh.2019.7851 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hodi FS, Chapman PB, Sznol M, et al. Safety and efficacy of combination nivolumab plus ipilimumab in patients with advanced melanoma: results from a North American expanded access program (CheckMate 218). Melanoma Res. 2021;31(1):67–75. doi: 10.1097/CMR.0000000000000708 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Houette A, Gilain L, Mulliez A, et al. Prognostic value of two tumour staging classifications in patients with sinonasal mucosal melanoma. Eur Ann Otorhinolaryngol Head Neck Dis. 2016;133(5):313–317. doi: 10.1016/j.anorl.2016.05.008 [DOI] [PubMed] [Google Scholar]
- 46.Huang J-N, Yu H, Wan Y, et al. A prognostic nomogram for the cancer-specific survival of white patients with invasive melanoma at BANS sites based on the Surveillance, Epidemiology, and End Results database. Front Med (Lausanne). 2023;10:1167742. doi: 10.3389/fmed.2023.1167742 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ibfelt EH, Steding-Jessen M, Dalton SO, et al. Influence of socioeconomic factors and region of residence on cancer stage of malignant melanoma: a Danish nationwide population-based study. Clin Epidemiol. 2018;10:799–807. doi: 10.2147/CLEP.S160357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Jain P, Finger PT, Fili M, et al. Conjunctival melanoma treatment outcomes in 288 patients: a multicentre international data-sharing study. Br J Ophthalmol. 2021;105(10):1358–1364. doi: 10.1136/bjophthalmol-2020-316293 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kielhorn BA, Jantz JB, Kosten MS, et al. Quality improvement in melanoma care: Multidisciplinary quality program development and comparison of care before and after implementation. Am J Surg. 2019;217(3):527–531. doi: 10.1016/j.amjsurg.2018.10.025 [DOI] [PubMed] [Google Scholar]
- 50.Kiuru M, Li Q, Zhu G, et al. Melanoma in women of childbearing age and in pregnancy in California, 1994-2015: a population-based cohort study. J Eur Acad Dermatol Venereol. 2022;36(11):2025–2035. doi: 10.1111/jdv.18458 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Krimphove MJ, Tully KH, Friedlander DF, et al. Adoption of immunotherapy in the community for patients diagnosed with metastatic melanoma. J Immunother Cancer. 2019;7(1):289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Kurtansky NR, Dusza SW, Halpern AC, et al. An Epidemiologic Analysis of Melanoma Overdiagnosis in the United States, 1975-2017. J Invest Dermatol. 2022;142(7):1804–1811.e6. doi: 10.1016/j.jid.2021.12.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Latosinsky S, Allen B, Shariff SZ.. Melanoma nodal management in Ontario the year after the 2012 American Society of Clinical Oncology and Society of Surgical Oncology guideline. Curr Oncol. 2019;26(5):330–337. doi: 10.3747/co.26.5123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Li D, Duan H, Jiang P, et al. Trend and socioeconomic disparities in survival outcome of metastatic melanoma after approval of immune checkpoint inhibitors: a population-based study. Am J Transl Res. 2020;12(7):3767–3779. [PMC free article] [PubMed] [Google Scholar]
- 55.Lim W-Y, Morton RL, Turner RM, et al. Patient preferences for follow-up after recent excision of a localized melanoma. JAMA Dermatol. 2018;154(4):420–427. doi: 10.1001/jamadermatol.2018.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Liu X, Yue H, Jiang S, et al. Clinical features and prognosis of patients with metastatic ocular and orbital melanoma: A bi-institutional study. Cancer Med. 2023;12(15):16163–16172. doi: 10.1002/cam4.6273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Lyth J, Mikiver R, Nielsen K, et al. Prognostic instrument for survival outcome in melanoma patients: based on data from the population-based Swedish Melanoma Register. Eur J Cancer. 2016;59:171–178. doi: 10.1016/j.ejca.2016.02.029 [DOI] [PubMed] [Google Scholar]
- 58.Ma VT, Chamila Perera AA, Sun Y, et al. Early response assessment in advanced stage melanoma treated with combination ipilimumab/nivolumab. Front Immunol. 2022;13:860421. doi: 10.3389/fimmu.2022.860421 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Machado Ma de Á, de Moura CS, Chan K, et al. Real-world analyses of therapy discontinuation of checkpoint inhibitors in metastatic melanoma patients. Sci Rep. 2020;10(1):14607. doi: 10.1038/s41598-020-71788-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Mangin M-A, Boespflug A, Maucort Boulch D, et al. Decreased survival in patients treated by chemotherapy after targeted therapy compared to immunotherapy in metastatic melanoma. Cancer Med. 2021;10(10):3155–3164. doi: 10.1002/cam4.3760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Martins F, Schiappacasse L, Levivier M, et al. The combination of stereotactic radiosurgery with immune checkpoint inhibition or targeted therapy in melanoma patients with brain metastases: a retrospective study. J Neurooncol. 2020;146(1):181–193. doi: 10.1007/s11060-019-03363-0 [DOI] [PubMed] [Google Scholar]
- 62.McQuade JL, Daniel CR, Hess KR, et al. Association of body-mass index and outcomes in patients with metastatic melanoma treated with targeted therapy, immunotherapy, or chemotherapy: a retrospective, multicohort analysis. Lancet Oncol. 2018;19(3):310–322. doi: 10.1016/S1470-2045(18)30078-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Middleton MR, Dalle S, Claveau J, et al. Real-world treatment practice in patients with advanced melanoma in the era before ipilimumab: results from the IMAGE study. Cancer Med. 2016;5(7):1436–1443. doi: 10.1002/cam4.717 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Murchie P, Constable L, Hall S, et al. The achieving self-directed integrated cancer aftercare intervention for detection of recurrent and second primary melanoma in survivors of melanoma: pilot randomized controlled trial. JMIR Cancer. 2022;8(3):e37539. doi: 10.2196/37539 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Naik GS, Waikar SS, Johnson AEW, et al. Complex inter-relationship of body mass index, gender and serum creatinine on survival: exploring the obesity paradox in melanoma patients treated with checkpoint inhibition. J Immunother Cancer. 2019;7(1):89. doi: 10.1186/s40425-019-0512-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Najjar YG, Navrazhina K, Ding F, et al. Ipilimumab plus nivolumab for patients with metastatic uveal melanoma: a multicenter, retrospective study. J Immunother Cancer. 2020;8(1):e000331. e000331. doi: 10.1136/jitc-2019-000331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Nicholas MN, Khoja L, Atenafu EG, et al. Prognostic factors for first-line therapy and overall survival of metastatic uveal melanoma: The Princess Margaret Cancer Centre experience. Melanoma Res. 2018;28(6):571–577. doi: 10.1097/CMR.0000000000000468 [DOI] [PubMed] [Google Scholar]
- 68.Niehues NB, Evanson B, Smith WA, et al. Melanoma patient notification and treatment timelines. Dermatol Online J. 2019;25(4):13030. [PubMed] [Google Scholar]
- 69.O’Sullivan DE, Boyne DJ, Gogna P, et al. Understanding real-world treatment patterns and clinical outcomes among metastatic melanoma patients in Alberta, Canada. Curr Oncol. 2023;30(4):4166–4176. doi: 10.3390/curroncol30040317 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Patrinely JR, Baker LX, Davis EJ, et al. Outcomes after progression of disease with anti-PD-1/PD-L1 therapy for patients with advanced melanoma. Cancer. 2020;126(15):3448–3455. doi: 10.1002/cncr.32984 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Peters M, Pearlman A, Terry W, et al. Testosterone deficiency in men receiving immunotherapy for malignant melanoma. Oncotarget. 2021;12(3):199–208. doi: 10.18632/oncotarget.27876 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.*Qian Y, Johannet P, Sawyers A, et al. The ongoing racial disparities in melanoma: An analysis of the Surveillance, Epidemiology, and End Results database (1975-2016). J Am Acad Dermatol. 2021;84(6):1585–1593. doi: 10.1016/j.jaad.2020.08.097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Rivera A, Nan H, Li T, et al. Alcohol intake and risk of incident melanoma: a pooled analysis of three prospective studies in the United States. Cancer Epidemiol Biomarkers Prev. 2016;25(12):1550–1558. doi: 10.1158/1055-9965.EPI-16-0303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Rogiers A, Leys C, Lauwyck J, et al. Neurocognitive function, psychosocial outcome, and health-related quality of life of the first-generation metastatic melanoma survivors treated with ipilimumab. J Immunol Res. 2020;2020:2192411–2192480. doi: 10.1155/2020/2192480 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Rozeman EA, Dekker TJA, Haanen JBAG, et al. Advanced melanoma: current treatment options, biomarkers, and future perspectives. Am J Clin Dermatol. 2018;19(3):303–317. doi: 10.1007/s40257-017-0325-6 [DOI] [PubMed] [Google Scholar]
- 76.Rutkowski P, Szydłowski K, Nowecki ZI, et al. The long-term results and prognostic significance of cutaneous melanoma surgery using sentinel node biopsy with triple technique. World J Surg Oncol. 2015;13(1):299. doi: 10.1186/s12957-015-0701-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Rutkowski P, Indini A, De Luca M, et al. Body mass index (BMI) and outcome of metastatic melanoma patients receiving targeted therapy and immunotherapy: a multicenter international retrospective study. J Immunother Cancer. 2020;8(2):e001117. doi: 10.1136/jitc-2020-001117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Saab KR, Mooradian MJ, Wang DY, et al. Tolerance and efficacy of BRAF plus MEK inhibition in patients with melanoma who previously have received programmed cell death protein 1‐based therapy. Cancer. 2019;125(6):884–891. doi: 10.1002/cncr.31889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Saiag P, Aegerter P, Vitoux D, et al. Prognostic value of 25-hydroxyvitamin D3 levels at diagnosis and during follow-up in melanoma patients. J Natl Cancer Inst. 2015;107(12):djv264. doi: 10.1093/jnci/djv264 [DOI] [PubMed] [Google Scholar]
- 80.Sander MS, Stukalin I, Vallerand IA, et al. Evaluation of the modified immune prognostic index to prognosticate outcomes in metastatic uveal melanoma patients treated with immune checkpoint inhibitors. Cancer Med. 2021;10(8):2618–2626. doi: 10.1002/cam4.3784 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Sant M, Magri MC, Maurichi A, et al. Association of sentinel node biopsy and pathological report completeness with survival benefit for cutaneous melanoma and factors influencing their different uses in european populations. Cancers (Basel) 2022; 14(18):4379. doi: 10.3390/cancers14184379 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Schultz K, Ivert LU, Lapins J, et al. Lead time from first suspicion of malignant melanoma in primary care to diagnostic excision: a cohort study comparing teledermatoscopy and traditional referral to a dermatology clinic at a tertiary hospital. Dermatol Pract Concept. 2023;13(1):e2023018. doi: 10.5826/dpc.1301a18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Shakeel S, Tung J, Rahal R, et al. Evaluation of factors associated with unmet needs in adult cancer survivors in Canada. JAMA Netw Open. 2020;3(3):e200506. doi: 10.1001/jamanetworkopen.2020.0506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Shields CL, Samuelson AG, Oh GJ, et al. Conditional Metastasis of uveal melanoma in 8091 patients over half-century (51 years) by age group: assessing the entire population and the extremes of age. Invest Ophthalmol Vis Sci. 2023;64(10):7. doi: 10.1167/iovs.64.10.7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Sinasac SE, Petrella TM, Rouzbahman M, et al. Melanoma of the vulva and vagina: surgical management and outcomes based on a clinicopathologic review of 68 cases. J Obstet Gynaecol Can. 2019;41(6):762–771. doi: 10.1016/j.jogc.2018.07.011 [DOI] [PubMed] [Google Scholar]
- 86.Sloot S, Chen YA, Zhao X, et al. Improved survival of patients with melanoma brain metastases in the era of targeted BRAF and immune checkpoint therapies. Cancer. 2018;124(2):297–305. doi: 10.1002/cncr.30946 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Sperduto PW, Jiang W, Brown PD, et al. Estimating survival in melanoma patients with brain metastases: an update of the graded prognostic assessment for melanoma using molecular markers (Melanoma-molGPA). Int J Radiat Oncol Biol Phys. 2017;99(4):812–816. doi: 10.1016/j.ijrobp.2017.06.2454 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Sussman TA, Knackstedt R, Wei W, et al. Outcomes of stage IV melanoma in the era of immunotherapy: a National Cancer Database (NCDB) analysis from 2014 to 2016. J Immunother Cancer. 2022;10(8):e004994. doi: 10.1136/jitc-2022-004994 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Teterycz P, Ługowska I, Koseła-Paterczyk H, et al. Comparison of seventh and eighth edition of AJCC staging system in melanomas at locoregional stage. World J Surg Oncol. 2019;17(1):129. doi: 10.1186/s12957-019-1669-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Tripathi R, Archibald LK, Mazmudar RS, et al. Racial differences in time to treatment for melanoma. J Am Acad Dermatol. 2020;83(3):854–859. doi: 10.1016/j.jaad.2020.03.094 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Ungureanu L, Apostu AP, Vesa Ștefan C, et al. Impact of the COVID-19 pandemic on melanoma diagnosis in Romania-data from two university centers. Int J Environ Res Public Health. 2022;19(22):15129. doi: 10.3390/ijerph192215129 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Verver D, Grünhagen DJ, Van Akkooi ACJ, et al. Clinical outcome of patients with metastatic melanoma of unknown primary in the era of novel therapy. Cancer Immunol Immunother. 2021;70(11):3123–3135. doi: 10.1007/s00262-021-02871-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Verver D, van der Veldt A, van Akkooi A, et al. Treatment of melanoma of unknown primary in the era of immunotherapy and targeted therapy: A Dutch population-based study. Int J Cancer. 2020;146(1):26–34. doi: 10.1002/ijc.32229 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Verver D, Louwman WJ, Koljenović S, et al. Improved stratification of pT1 melanoma according to the 8th American Joint Committee on Cancer staging edition criteria: A Dutch population-based study. Eur J Cancer. 2018;92:100–107. doi: 10.1016/j.ejca.2017.10.031 [DOI] [PubMed] [Google Scholar]
- 95.Voinea S, Blidaru A, Panaitescu E, et al. Impact of gender and primary tumor location on outcome of patients with cutaneous melanoma. J Med Life. 2016;9(4):444–448. [PMC free article] [PubMed] [Google Scholar]
- 96.von Schuckmann LA, Hughes MCB, Ghiasvand R, et al. Risk of melanoma recurrence after diagnosis of a high-risk primary tumor. JAMA Dermatol. 2019;155(6):688–693. doi: 10.1001/jamadermatol.2019.0440 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Wagner NB, Lenders MM, Kühl K, et al. Pretreatment metastatic growth rate determines clinical outcome of advanced melanoma patients treated with anti-PD-1 antibodies: a multicenter cohort study. J Immunother Cancer. 2021;9(5):e002350. doi: 10.1136/jitc-2021-002350 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Walter JR, Xu S, Paller AS, et al. Oncofertility considerations in adolescents and young adults given a diagnosis of melanoma: Fertility risk of Food and Drug Administration-approved systemic therapies. J Am Acad Dermatol. 2016;75(3):528–534. doi: 10.1016/j.jaad.2016.04.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Waninger JJ, Ma VT, Journey S, et al. Validation of the American Joint Committee on Cancer Eighth Edition staging of patients with metastatic cutaneous melanoma treated with immune checkpoint inhibitors. JAMA Netw Open. 2021;4(3):e210980. doi: 10.1001/jamanetworkopen.2021.0980 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Watson AS, Goutam S, Stukalin I, et al. Association of immune-related adverse events, hospitalization, and therapy resumption with survival among patients with metastatic melanoma receiving single-agent or combination immunotherapy. JAMA Netw Open. 2022;5(12):e2245596. doi: 10.1001/jamanetworkopen.2022.45596 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.**Weinstock MA, Ferris LK, Saul MI, et al. Downstream consequences of melanoma screening in a community practice setting: First results. Cancer. 2016;122(20):3152–3156. doi: 10.1002/cncr.30177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Wohlmuth C, Wohlmuth-Wieser I, May T, et al. Malignant melanoma of the vulva and vagina: A US population-based study of 1863 patients. Am J Clin Dermatol. 2020;21(2):285–295. doi: 10.1007/s40257-019-00487-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Wong A, Callahan J, Keyaerts M, et al. 18F-FDG PET/CT based spleen to liver ratio associates with clinical outcome to ipilimumab in patients with metastatic melanoma. Cancer Imaging. 2020;20(1):36. doi: 10.1186/s40644-020-00313-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Yang J, Pan Z, Zhao F, et al. A nomogram for predicting survival in patients with nodular melanoma: A population-based study. Medicine (Baltimore). 2019;98(24):e16059.). doi: 10.1097/MD.0000000000016059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Young AC, Quach HT, Song H, et al. Impact of body composition on outcomes from anti-PD1 +/- anti-CTLA-4 treatment in melanoma. J Immunother Cancer. 2020;8(2):e000821. doi: 10.1136/jitc-2020-000821 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Zeng Q, Yao Y, Zhao M.. Development and validation of a nomogram to predict cancer-specific survival of uveal melanoma. BMC Ophthalmol. 2021;21(1):230. doi: 10.1186/s12886-021-01968-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Cheung WY, Bayliss MS, White MK, et al. Humanistic burden of disease for patients with advanced melanoma in Canada. Support Care Cancer. 2018;26(6):1985–1991. doi: 10.1007/s00520-017-4025-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Cheung WY, White MK, Bayliss MS, et al. Patient-reported treatment-related symptom burden for patients with advanced melanoma in Canada. Support Care Cancer. 2019;27(1):219–227. doi: 10.1007/s00520-018-4316-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Corneli P, Zalaudek I, Magaton Rizzi G, et al. Improving the early diagnosis of early nodular melanoma: can we do better? Expert Rev Anticancer Ther. 2018;18(10):1007–1012. doi: 10.1080/14737140.2018.1507822 [DOI] [PubMed] [Google Scholar]
- 110.Coroiu A, Moran C, Bergeron C, et al. Operationalization of skin self-examination in randomized controlled trials with individuals at increased risk for melanoma: A systematic review. Patient Educ Couns. 2020;103(5):1013–1026. doi: 10.1016/j.pec.2019.12.009 [DOI] [PubMed] [Google Scholar]
- 111.Coroiu A, Moran C, Davine JA, et al. Patient-identified early clinical warning signs of nodular melanoma: a qualitative study. BMC Cancer. 2021;21(1):371. doi: 10.1186/s12885-021-08072-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Czeyda-Pommersheim F, Kluger H, Langdon J, et al. Melanoma in pregnancy. Abdom Radiol (NY). 2023;48(5):1740–1751. doi: 10.1007/s00261-022-03796-8 [DOI] [PubMed] [Google Scholar]
- 113.de Vere Hunt I, Owen S, Amuzie A, et al. Qualitative exploration of melanoma awareness in black people in the USA. BMJ Open. 2023;13(1):e066967. doi: 10.1136/bmjopen-2022-066967 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Elder DE, Eguchi MM, Barnhill RL, et al. Diagnostic error, uncertainty, and overdiagnosis in melanoma. Pathology (Phila. 2023;55(2):206–213.). doi: 10.1016/j.pathol.2022.12.345 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.** Garrison ZR, Hall CM, Fey RM, et al. Advances in early detection of melanoma and the future of at-home testing. Life Basel Switz. 2023;13(4):974. doi: 10.3390/life13040974 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Guy GP, Thomas CC, Thompson T, et al. Vital signs: melanoma incidence and mortality trends and projections – United States, 1982-2030. MMWR Morb Mortal Wkly Rep. 2015;64(21):591–596. [PMC free article] [PubMed] [Google Scholar]
- 117.Harvey VM, Patel H, Sandhu S, et al. Social determinants of racial and ethnic disparities in cutaneous melanoma outcomes. Cancer Control. 2014;21(4):343–349. doi: 10.1177/107327481402100411 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Kamminga NCW, Wakkee M, De Bruin RJ, et al. Oncological healthcare providers’ perspectives on appropriate melanoma survivorship care: a qualitative focus group study. BMC Cancer. 2023;23(1):278. doi: 10.1186/s12885-023-10759-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Luke JJ, Flaherty KT, Ribas A, et al. Targeted agents and immunotherapies: optimizing outcomes in melanoma. Nat Rev Clin Oncol. 2017;14(8):463–482. doi: 10.1038/nrclinonc.2017.43 [DOI] [PubMed] [Google Scholar]
- 120.Mayer JE, Swetter SM, Fu T, et al. Screening, early detection, education, and trends for melanoma: current status (2007-2013) and future directions: Part II. Screening, education, and future directions. J Am Acad Dermatol. 2014;71(4):611. [DOI] [PubMed] [Google Scholar]
- 121.**Michielin O, Hoeller C.. Gaining momentum: New options and opportunities for the treatment of advanced melanoma. Cancer Treat Rev. 2015;41(8):660–670. doi: 10.1016/j.ctrv.2015.05.012 [DOI] [PubMed] [Google Scholar]
- 122.Morton RL, Rychetnik L, McCaffery K, et al. Patients’ perspectives of long-term follow-up for localised cutaneous melanoma. Eur J Surg Oncol. 2013;39(3):297–303. doi: 10.1016/j.ejso.2012.12.017 [DOI] [PubMed] [Google Scholar]
- 123.Newcomer K, Robbins KJ, Perone J, et al. Malignant melanoma: evolving practice management in an era of increasingly effective systemic therapies. Curr Probl Surg. 2022;59(1):101030. doi: 10.1016/j.cpsurg.2021.101030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Poletto S, Paruzzo L, Nepote A, et al. Predictive factors in metastatic melanoma treated with immune checkpoint inhibitors: from clinical practice to future perspective. Cancers (Basel). 2023;16(1):101. doi: 10.3390/cancers16010101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Russo A, Ficili B, Candido S, et al. Emerging targeted therapies for melanoma treatment (review). Int J Oncol. 2014;45(2):516–524. doi: 10.3892/ijo.2014.2481 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Sadozai H, Gruber T, Hunger RE, et al. Recent successes and future directions in immunotherapy of cutaneous melanoma. Front Immunol. 2017;8:1617. doi: 10.3389/fimmu.2017.01617 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Schadendorf D, van Akkooi ACJ, Berking C, et al. Melanoma. Lancet. 2018;392(10151):971–984. doi: 10.1016/S0140-6736(18)31559-9 [DOI] [PubMed] [Google Scholar]
- 128.Shellenberger R, Nabhan M, Kakaraparthi S.. Melanoma screening: A plan for improving early detection. Ann Med. 2016;48(3):142–148. doi: 10.3109/07853890.2016.1145795 [DOI] [PubMed] [Google Scholar]
- 129.Shields CL, Dalvin LA, Vichitvejpaisal P, et al. Prognostication of uveal melanoma is simple and highly predictive using The Cancer Genome Atlas (TCGA) classification: A review. Indian J Ophthalmol. 2019;67(12):1959–1963. doi: 10.4103/ijo.IJO_1589_19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Spagnolo F, Caltabiano G, Queirolo P.. Uveal melanoma. Cancer Treat Rev. 2012;38(5):549–553. doi: 10.1016/j.ctrv.2012.01.002 [DOI] [PubMed] [Google Scholar]
- 131.Swetter SM, Tsao H, Bichakjian CK, et al. Guidelines of care for the management of primary cutaneous melanoma. J Am Acad Dermatol. 2019;80(1):208–250. doi: 10.1016/j.jaad.2018.08.055 [DOI] [PubMed] [Google Scholar]
- 132.Tan JD, Butow PN, Boyle FM, et al. A qualitative assessment of psychosocial impact, coping and adjustment in high-risk melanoma patients and caregivers. Melanoma Res. 2014;24(3):252–260. doi: 10.1097/CMR.0000000000000059 [DOI] [PubMed] [Google Scholar]
- 133.** Vogel RI, Strayer LG, Ahmed RL, et al. A qualitative study of quality of life concerns following a melanoma diagnosis. J Skin Cancer. 2017;2017:2041872–2041878. doi: 10.1155/2017/2041872 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Wehler E, Zhao Z, Pinar Bilir S, et al. Economic burden of toxicities associated with treating metastatic melanoma in eight countries. Eur J Health Econ. 2017;18(1):49–58. doi: 10.1007/s10198-015-0757-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Weitman ES, Perez M, Thompson JF, et al. Quality of life patient-reported outcomes for locally advanced cutaneous melanoma. Melanoma Res. 2018;28(2):134–142. doi: 10.1097/CMR.0000000000000425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Wong JR, Nanji AA, Galor A, et al. Management of conjunctival malignant melanoma: a review and update. Expert Rev Ophthalmol. 2014;9(3):185–204. doi: 10.1586/17469899.2014.921119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Yde SS, Sjoegren P, Heje M, et al. Mucosal melanoma: a literature review. Curr Oncol Rep. 2018;20(3):28. doi: 10.1007/s11912-018-0675-0 [DOI] [PubMed] [Google Scholar]
- 138.Zhai Z, Yamauchi T, Shangraw S, et al. Ethanol metabolism and melanoma. Cancers (Basel). 2023;15(4):1258. doi: 10.3390/cancers15041258 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Barker CA, Postow MA.. Combinations of radiation therapy and immunotherapy for melanoma: a review of clinical outcomes. Int J Radiat Oncol Biol Phys. 2014;88(5):986–997. doi: 10.1016/j.ijrobp.2013.08.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Boussios S, Rassy E, Samartzis E, et al. Melanoma of unknown primary: New perspectives for an old story. Crit Rev Oncol Hematol. 2021;158:103208. doi: 10.1016/j.critrevonc.2020.103208 [DOI] [PubMed] [Google Scholar]
- 141.Byrom L, Olsen C, Knight L, et al. Increased mortality for pregnancy-associated melanoma: systematic review and meta-analysis. J Eur Acad Dermatol Venereol. 2015;29(8):1457–1466. doi: 10.1111/jdv.12972 [DOI] [PubMed] [Google Scholar]
- 142.Carlino MS, Long GV.. Ipilimumab combined with nivolumab: a standard of care for the treatment of advanced melanoma? Clin Cancer Res. 2016;22(16):3992–3998. doi: 10.1158/1078-0432.CCR-15-2944 [DOI] [PubMed] [Google Scholar]
- 143.Chattopadhyay C, Kim DW, Gombos DS, et al. Uveal melanoma: From diagnosis to treatment and the science in between. Cancer. 2016;122(15):2299–2312. doi: 10.1002/cncr.29727 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Cortez JL, Vasquez J, Wei ML.. The impact of demographics, socioeconomics, and health care access on melanoma outcomes. J Am Acad Dermatol. 2021;84(6):1677–1683. doi: 10.1016/j.jaad.2020.07.125 [DOI] [PubMed] [Google Scholar]
- 145.Dunn J, Watson M, Aitken JF, et al. Systematic review of psychosocial outcomes for patients with advanced melanoma. Psychooncology. 2017;26(11):1722–1731. doi: 10.1002/pon.4290 [DOI] [PubMed] [Google Scholar]
- 146.Fong ZV, Tanabe KK.. Comparison of melanoma guidelines in the U.S.A., Canada, Europe, Australia and New Zealand: a critical appraisal and comprehensive review. Br J Dermatol. 2014;170(1):20–30. doi: 10.1111/bjd.12687 [DOI] [PubMed] [Google Scholar]
- 147.Gorry C, McCullagh L, Barry M.. Economic Evaluation of Systemic Treatments for Advanced Melanoma: A Systematic Review. Value Health. 2020;23(1):52–60. doi: 10.1016/j.jval.2019.07.003 [DOI] [PubMed] [Google Scholar]
- 148.Higgins S, Nazemi A, Feinstein S, et al. Clinical presentations of melanoma in african americans, hispanics, and asians. Dermatol Surg. 2019;45(6):791–801. doi: 10.1097/DSS.0000000000001759 [DOI] [PubMed] [Google Scholar]
- 149.Johansson M, Brodersen J, Gøtzsche PC, et al. Screening for reducing morbidity and mortality in malignant melanoma. Cochrane Database Syst Rev. 2019;6(6):CD012352. doi: 10.1002/14651858.CD012352.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Kaliki S, Shields CL, Shields JA.. Uveal melanoma: estimating prognosis. Indian J Ophthalmol. 2015;63(2):93–102. doi: 10.4103/0301-4738.154367 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Khoja L, Atenafu EG, Suciu S, et al. Meta-analysis in metastatic uveal melanoma to determine progression free and overall survival benchmarks: an international rare cancers initiative (IRCI) ocular melanoma study. Ann Oncol. 2019;30(8):1370–1380. doi: 10.1093/annonc/mdz176 [DOI] [PubMed] [Google Scholar]
- 152.Kuang T, Zhang L, Qiu Z, et al. Prognostic value of body composition on survival outcomes in melanoma patients receiving immunotherapy. Front Immunol. 2023;14:1261202. doi: 10.3389/fimmu.2023.1261202 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Pasquali S, Chiarion-Sileni V, Rossi CR, et al. Immune checkpoint inhibitors and targeted therapies for metastatic melanoma: A network meta-analysis. Cancer Treat Rev. 2017;54:34–42. doi: 10.1016/j.ctrv.2017.01.006 [DOI] [PubMed] [Google Scholar]
- 154.Posada EL, Lauck KC, Tran T, et al. Educational interventions to support primary care provider performance of diagnostic skin cancer examinations: a systematic literature review. J Cancer Educ. 2022;37(6):1579–1588. doi: 10.1007/s13187-021-02118-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Shaikh R, Huckfeldt VE.. Educational intervention and melanoma prognosis in black people. Cureus. 2023;15(11):e49527. doi: 10.7759/cureus.49527 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Vouk K, Benter U, Amonkar MM, et al. Cost and economic burden of adverse events associated with metastatic melanoma treatments in five countries. J Med Econ. 2016;19(9):900–912. doi: 10.1080/13696998.2016.1184155 [DOI] [PubMed] [Google Scholar]
- 157.Weiss SA, Hanniford D, Hernando E, et al. Revisiting determinants of prognosis in cutaneous melanoma. Cancer. 2015;121(23):4108–4123. doi: 10.1002/cncr.29634 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Abudu B, Cook KA, Gershenwald JE, et al. Quantitative associations between health insurance and stage of melanoma at diagnosis among nonelderly adults in the United States. Cancer. 2020;126(4):775–781. doi: 10.1002/cncr.32587 [DOI] [PubMed] [Google Scholar]
- 159.Amini A, Rusthoven CG, Waxweiler TV, et al. Association of health insurance with outcomes in adults ages 18 to 64 years with melanoma in the United States. J Am Acad Dermatol. 2016;74(2):309–316. doi: 10.1016/j.jaad.2015.09.054 [DOI] [PubMed] [Google Scholar]
- 160.Bergeron C, Moran C, Coroiu A, et al. Development and initial validation of the Self-Efficacy for Skin Self-Examination Scale in a Canadian sample of patients with melanoma. Eur J Oncol Nurs. 2019;40:78–84. doi: 10.1016/j.ejon.2019.03.006 [DOI] [PubMed] [Google Scholar]
- 161.Conic RZ, Cabrera CI, Khorana AA, et al. Determination of the impact of melanoma surgical timing on survival using the National Cancer Database. J Am Acad Dermatol. 2018;78(1):40–46.e7. doi: 10.1016/j.jaad.2017.08.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Ghate SR, Li Z, Tang J, et al. Economic burden of adverse events associated with immunotherapy and targeted therapy for metastatic melanoma in the elderly. Am Health Drug Benefits. 2018;11(7):334–343. [PMC free article] [PubMed] [Google Scholar]
- 163.Lim W-Y, Turner RM, Morton RL, et al. Use of shared care and routine tests in follow-up after treatment for localised cutaneous melanoma. BMC Health Serv Res. 2018;18(1):477. doi: 10.1186/s12913-018-3291-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Mamoor M, Postow MA, Lavery JA, et al. Quality of life in long-term survivors of advanced melanoma treated with checkpoint inhibitors. J Immunother Cancer. 2020;8(1):e000260. e000260. doi: 10.1136/jitc-2019-000260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Stellato D, Thabane M, Eichten C, et al. Preferences of Canadian patients and physicians for adjuvant treatments for melanoma. Curr Oncol. 2019;26(6):e755–65–e765. doi: 10.3747/co.26.5085 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Wang X, Li M, Shi Q, et al. Fear of progression, anxiety, and depression in patients with advanced melanoma in the COVID-19 and post-COVID-19 era. Front Psychiatry. 2022;13:880978. doi: 10.3389/fpsyt.2022.880978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Damude S, Hoekstra-Weebers JEHM, Francken AB, et al. The MELFO-study: prospective, randomized, clinical trial for the evaluation of a stage-adjusted reduced follow-up schedule in cutaneous melanoma patients-results after 1 year. Ann Surg Oncol. 2016;23(9):2762–2771. doi: 10.1245/s10434-016-5263-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Deckers EA, Hoekstra-Weebers JEHM, Damude S, et al. The MELFO study: a multicenter, prospective, randomized clinical trial on the effects of a reduced stage-adjusted follow-up schedule on cutaneous melanoma IB-IIC patients-results after 3 years. Ann Surg Oncol. 2020;27(5):1407–1417. doi: 10.1245/s10434-019-07825-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Eggermont AMM, Kicinski M, Blank CU, et al. Association between immune-related adverse events and recurrence-free survival among patients with stage III melanoma randomized to receive pembrolizumab or placebo: a secondary analysis of a randomized clinical trial. JAMA Oncol. 2020;6(4):519–527. doi: 10.1001/jamaoncol.2019.5570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Hultgren BA, Turrisi R, Mallett KA, et al. Influence of quality of relationship between patient with melanoma and partner on partner-assisted skin examination education: a randomized clinical trial. JAMA Dermatol. 2016;152(2):184–190. doi: 10.1001/jamadermatol.2015.2819 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Lebbé C, Meyer N, Mortier L, et al. Evaluation of two dosing regimens for nivolumab in combination with ipilimumab in patients with advanced melanoma: results from the phase IIIb/IV CheckMate 511 trial. J Clin Oncol. 2019;37(11):867–875. doi: 10.1200/JCO.18.01998 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Miller KA, Huh J, Piombo SE, et al. Sun protection changes among diverse elementary schoolchildren participating in a sun safety intervention: A latent transition analysis of a randomized controlled trial. Prev Med. 2021;149:106601. doi: 10.1016/j.ypmed.2021.106601 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Tripp MK, Peterson SK, Prokhorov AV, et al. Correlates of sun protection and sunburn in children of melanoma survivors. Am J Prev Med. 2016;51(3):e77-85–e85. doi: 10.1016/j.amepre.2016.02.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Vogel RI, Luo X, Brown K, et al. A UVR-sensor wearable device intervention to reduce sun exposure in melanoma survivors: Results from a randomized controlled trial. PLoS One. 2023;18(2):e0281480. doi: 10.1371/journal.pone.0281480 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Cust AE, Badcock C, Smith J, et al. A risk prediction model for the development of subsequent primary melanoma in a population-based cohort. Br J Dermatol. 2020;182(5):1148–1157. doi: 10.1111/bjd.18524 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Czajkowska Z, Hall NC, Sewitch M, et al. The role of patient education and physician support in self-efficacy for skin self-examination among patients with melanoma. Patient Educ Couns. 2017;100(8):1505–1510. doi: 10.1016/j.pec.2017.02.020 [DOI] [PubMed] [Google Scholar]
- 177.Hamid O, Robert C, Ribas A, et al. Antitumour activity of pembrolizumab in advanced mucosal melanoma: a post-hoc analysis of KEYNOTE-001, 002, 006. Br J Cancer. 2018;119(6):670–674. doi: 10.1038/s41416-018-0207-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 178.Hogg D, Monzon JG, Ernst S, et al. Canadian cohort expanded-access program of nivolumab plus ipilimumab in advanced melanoma. Curr Oncol. 2020;27(4):204–214. doi: 10.3747/co.27.5985 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Johnston L, Starkey S, Mukovozov I, et al. Surveillance After a Previous Cutaneous Melanoma Diagnosis: A Scoping Review of Melanoma Follow-Up Guidelines. J Cutan Med Surg. 2023;27(5):516–525. doi: 10.1177/12034754231188434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Karimkhani C, Green AC, Nijsten T, et al. The global burden of melanoma: results from the Global Burden of Disease Study 2015. Br J Dermatol. 2017;177(1):134–140. doi: 10.1111/bjd.15510 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Körner A, Drapeau M, Thombs BD, et al. Barriers and facilitators of adherence to medical advice on skin self-examination during melanoma follow-up care. BMC Dermatol. 2013;13(1):3. doi: 10.1186/1471-5945-13-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Mitchell J, Callaghan P, Street J, et al. The experience of melanoma follow-up care: an online survey of patients in australia. J Skin Cancer. 2014;2014:429147–429149. doi: 10.1155/2014/429149 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Ribero S, Longo C, Dika E, et al. Pregnancy and melanoma: a European-wide survey to assess current management and a critical literature overview. Acad Dermatol Venereol. 2017;31(1):65–69. doi: 10.1111/jdv.13722 [DOI] [PubMed] [Google Scholar]
- 184.Rizvi Z, Kunder V, Stewart H, et al. The bias of physicians and lack of education in patients of color with melanoma as causes of increased mortality: a scoping review. Cureus. 2022;14(11):e31669. doi: 10.7759/cureus.31669 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Rogala P, Czarnecka AM, Cybulska-Stopa B, et al. Long term results and prognostic biomarkers for anti-PD1 immunotherapy used after BRAFi/MEKi combination in advanced cutaneous melanoma patients. Cancers (Basel). 2022;14(9):2123. doi: 10.3390/cancers14092123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Tejera-Vaquerizo A, Ribero S, Puig S, et al. Survival analysis and sentinel lymph node status in thin cutaneous melanoma: A multicenter observational study. Cancer Med. 2019;8(9):4235–4244. doi: 10.1002/cam4.2358 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Tran JM, Schwartz R, Fung K, et al. Comprehensive capture of cutaneous melanoma by the Ontario Cancer Registry: validation study using community pathology reports. Cancer Causes Control. 2016;27(1):137–142. doi: 10.1007/s10552-015-0690-5 [DOI] [PubMed] [Google Scholar]
- 188.Ugurel S, Röhmel J, Ascierto PA, et al. Survival of patients with advanced metastatic melanoma: the impact of novel therapies-update 2017. Eur J Cancer. 2017;83:247–257. doi: 10.1016/j.ejca.2017.06.028 [DOI] [PubMed] [Google Scholar]
- 189.Utter K, Goldman C, Weiss SA, et al. Treatment outcomes for metastatic melanoma of unknown primary in the new era: a single-institution study and review of the literature. Oncology. 2017;93(4):249–258. doi: 10.1159/000478050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.Ribero S, Davies JR, Requena C, et al. High nevus counts confer a favorable prognosis in melanoma patients. Int J Cancer. 2015;137(7):1691–1698. doi: 10.1002/ijc.29525 [DOI] [PMC free article] [PubMed] [Google Scholar]
Reference annotations
* [13] This analysis of the US National Cancer Database demonstrates significant disparities between various social groups in melanoma surgery wait time, which may influence mortality outcomes.
* [72] This study provides a large-scale epidemiological evaluation of the racial disparities in melanoma patient disease prevalence and severity.
** [101] This program demonstrated that training primary care providers to detect early melanoma may drastically increase diagnoses, despite the frequency of skin surgeries and dermatology visits being less impacted.
* [115] This literature review analyzes and critiques the evolving field of non-specialist melanoma detection methods, including high accuracy at-home and artificial intelligence methods.
** [121] This paper examines the efficacy of the newly introduced immune check point inhibitors and targeted therapies, as well as patient outcomes associated with their adverse events and drug resistance.
** [133] This study addresses important patient experiences on a broad range of factors impacting the quality of life of melanoma patients post-survivorship.

