A population-based validation study of the 8th edition UICC/AJCC TNM staging system for cutaneous melanoma

Clinical, dermatoscopic, histological and molecular predictive factors of distant melanoma metastasis: A systematic review and meta-analysis

BACKGROUND

Melanoma metastasis to distant sites is associated with diminished survival rates and poor prognosis. Except of Breslow thickness and ulceration that are currently used in melanoma staging, the investigation of additional clinicopathological, dermatoscopic and molecular factors that could predict tumors with aggressive biologic behavior is of paramount importance.

METHODS

A literature search was conducted in PubMed, Scopus, Cochrane databases and gray literature until November 2023. Observational studies (including cohorts and case-control studies) were included and clinical and histopathological factors of primary cutaneous melanomas, along with dermatoscopic and molecular predictors of distant metastasis (DM) and distant metastasis-free survival (DMFS) were assessed. Random - effect models were preferred, the results were presented as Hazard Ratios (HRs) with 95 %Confidence Intervals (CIs) and the I2 index quantified heterogeneity. Subgroup analysis according to AJCC stage and sensitivity analysis were also conducted.

RESULTS

One hundred forty-three and 101 studies were included in the qualitive and quantitative synthesis, respectively. Regarding clinical factors, males, compared to females, and head and neck location, compared to trunk, demonstrated higher risk for DM [n=36, HR 1.49, 95%CI 1.36 - 1.63, I2 33% and n=21, HR 1.24, 95 %CI 1.01 - 1.52, I2 62 %]. Both factors had similar effects on DMFS. Breslow thickness and ulceration were significant predictors or DM. Additional factors that posed an increased risk for DM were nodular (n=15, HR 2.51, 95 %CI 1.83 - 3.43, I2 56 %) and lentigo maligna subtypes (n=12, HR 1.87, 95 %CI 1.27 - 2.75, I2 0 %), compared to superficial spreading subtype, lymphovascular invasion (n=9, HR 2.05, 95 %CI 1.18 - 3.58, I2 78 %), SLN positivity and BRAF+ mutational status. In contrast, regression was a negative predictor of DM (n=15, HR 0.59, 95 %CI 0.44 - 0.79, I2 68 %). Two studies focused on dermatoscopic factors and found that low pigmentation and the presence of blue-white veil might predict DM development. The results of subgroup analysis for stage I-II patients were essentially similar and sensitivity analysis did not reveal significant alterations, despite the moderate or high heterogeneity in some categories.

CONCLUSIONS

Clinical and histological characteristics of the tumor along with dermatoscopic features and molecular parameters hold significant prognostic information and could be incorporated into models to predict melanomas with high metastatic potential.

Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial

BACKGROUND

Use of artificial intelligence (AI), or machine learning, to assess dermoscopic images of skin lesions to detect melanoma has, in several retrospective studies, shown high levels of diagnostic accuracy on par with - or even outperforming - experienced dermatologists. However, the enthusiasm around these algorithms has not yet been matched by prospective clinical trials performed in authentic clinical settings. In several European countries, including Sweden, the initial clinical assessment of suspected skin cancer is principally conducted in the primary healthcare setting by primary care physicians, with or without access to teledermoscopic support from dermatology clinics.

OBJECTIVES

To determine the diagnostic performance of an AI-based clinical decision support tool for cutaneous melanoma detection, operated by a smartphone application (app), when used prospectively by primary care physicians to assess skin lesions of concern due to some degree of melanoma suspicion.

METHODS

This prospective multicentre clinical trial was conducted at 36 primary care centres in Sweden. Physicians used the smartphone app on skin lesions of concern by photographing them dermoscopically, which resulted in a dichotomous decision support text regarding evidence for melanoma. Regardless of the app outcome, all lesions underwent standard diagnostic procedures (surgical excision or referral to a dermatologist). After investigations were complete, lesion diagnoses were collected from the patients' medical records and compared with the app's outcome and other lesion data.

RESULTS

In total, 253 lesions of concern in 228 patients were included, of which 21 proved to be melanomas, with 11 thin invasive melanomas and 10 melanomas in situ. The app's accuracy in identifying melanomas was reflected in an area under the receiver operating characteristic (AUROC) curve of 0.960 [95% confidence interval (CI) 0.928-0.980], corresponding to a maximum sensitivity and specificity of 95.2% and 84.5%, respectively. For invasive melanomas alone, the AUROC was 0.988 (95% CI 0.965-0.997), corresponding to a maximum sensitivity and specificity of 100% and 92.6%, respectively.

CONCLUSIONS

The clinical decision support tool evaluated in this investigation showed high diagnostic accuracy when used prospectively in primary care patients, which could add significant clinical value for primary care physicians assessing skin lesions for melanoma.

Prognostic factors in postoperative patients with cutaneous melanoma: a systematic review and meta-analysis

Cutaneous melanoma is a prevalent tumor associated with a poor prognosis. This systematic review and meta-analysis aimed to identify and evaluate prognostic factors for patients with cutaneous melanoma following surgery, thereby providing crucial insights for enhancing patient outcomes. We searched PubMed, Embase, Cochrane Library, CINAHL, and Web of Science for studies on postoperative prognostic factors of cutaneous melanoma up to March 2024. Literature screening, data extraction, and quality assessment were performed, followed by meta-analysis using RevMan 5.3 software. Trial Sequential Analysis (TSA) was conducted with Stata 17 software to verify the robustness of the findings. Eleven studies encompassing 27,352 patients were included. The meta-analysis identified several prognostic factors impacting disease-specific survival post-surgery: age over 50 years (HR=1.05, 95% CI: 1.02-1.08), female gender (HR=0.71, 95% CI: 0.57-0.87), Breslow thickness greater than 2 mm (HR=1.11, 95% CI: 1.06-1.17), presence of ulceration (HR=2.06, 95% CI: 1.63-2.60), and positive sentinel lymph node (HR=3.03, 95% CI: 2.50-3.66). TSA confirmed the adequacy of the sample size. Aggressive treatment strategies are recommended for patients exhibiting these characteristics to improve prognosis and extend 5-year survival rates.

Factors associated with the melanoma diagnostic interval in Ontario, Canada: a population-based study

BACKGROUND

Protracted times to diagnosis of cancer can lead to increased patient anxiety, and in some cases, disease progression and worse outcomes. This study assessed the time to diagnosis for melanoma, and its variability, according to patient-, disease-, and system-level factors.

METHODS

This is a descriptive, cross-sectional study in Ontario, Canada from 2007-2019. We used administrative health data to measure the diagnostic interval (DI)-and its two subintervals-the primary care subinterval (PCI) and specialist care subinterval (SCI). Multivariable quantile regression was used.

RESULTS

There were 33,371 melanoma patients. The median DI was 36 days (interquartile range [IQR]: 8-85 days), median PCI 22 days (IQR: 6-54 days), and median SCI 6 days (IQR: 1-42 days). Increasing comorbidity was associated with increasing DI. Residents in the most deprived neighbourhoods and those in rural areas experienced shorter DIs and PCIs, but no differences in SCI. There was substantial variation in the DI and SCI across health regions, but limited differences in the PCI. Finally, patients with a history of non-melanoma skin cancer, and those previously established with a dermatologist experienced significantly longer DI, PCI, and SCI.

DISCUSSION

This study found variability in the melanoma DI, notably by system-level factors.

Pembrolizumab for the adjuvant treatment of IIB or IIC melanoma

INTRODUCTION

Up to 30% of patients with stage IIB and 50% of stage IIC melanoma experience recurrence within 5 years after radical surgery. Adjuvant treatment is expected to improve this prognosis.

AREAS COVERED

Pembrolizumab (MK-3475) is a humanized monoclonal antibody that acts against the programmed cell death 1 (PD-1) receptor. Pembrolizumab was first approved in monotherapy for the treatment of unresectable/metastatic melanoma based on the results of the prospective KEYNOTE-001, KEYNOTE-002, and KEYNOTE-006 trials. KEYNOTE-716 is the randomized phase III trial of pembrolizumab treatment in resected stage II melanoma. Treatment with pembrolizumab is statistically significant, reducing the risk of recurrence as well as distant metastases risk after primary tumor resection. Pembrolizumab treatment has a 24-month RFS rate of 81.2% (HR 0.64 vs placebo) and a DMFS rate of 88.1%.

EXPERT OPINION

1-year adjuvant pembrolizumab treatment of stage IIB/C melanoma patients significantly reduces recurrence or death risk. The safety profile of adjuvant treatment is not different from previously reported and is manageable. Longer follow-up is required to fully understand the efficacy and safety of adjuvant therapy for stage II melanoma, as the number of patients needed to treat is twice as high as for stage III patients.

Diagnostic biopsy of cutaneous melanoma, sentinel lymph node biopsy and indications for lymphadenectomy

The incidence of cutaneous melanoma appears to be increasing worldwide and this is attributed to solar radiation exposure. Early diagnosis is a challenging task. Any clinically suspected lesion must be assessed by complete diagnostic excision biopsy (margins 1-2 mm); however, there are other biopsy techniques that are less commonly used. Melanomas are characterized by Breslow thickness as thin (< 1 mm), intermediate (1-4 mm) and thick (> 4 mm). This thickness determines their biological behavior, therapy, prognosis and survival. If the biopsy is positive, a wide local excision (margins 1-2 cm) is finally performed. However, metastasis to regional lymph nodes is the most accurate prognostic determinant. Therefore, sentinel lymph node biopsy (SLNB) for diagnosed melanoma plays a pivotal role in the management strategy. Complete lymph node clearance has undoubted advantages and is recommended in all cases of positive SLN biopsy. A PET-CT (positron emission tomography-computed tomography) scan is necessary for staging and follow-up after treatment. Novel targeted therapies and immunotherapies have shown improved outcomes in advanced cases.