Factors influencing locoregional recurrence and distant metastasis in Asian patients with cutaneous melanoma after surgery: A retrospective analysis in a tertiary hospital in Taiwan

Chu, Pen–Yuan; Chen, Yifan; Li, Cheng-Yuan; Yang, Jai Sing; King, Yih-An; Chiu, Yu–Jen; Ma, Hsu

doi:10.1097/jcma.0000000000000586

Cited by 7 publications

(11 citation statements)

References 32 publications

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“…Extensive investigations have consistently demonstrated that patients with regional node involvement were more prone to develop distant metastasis (37)(38)(39)(40)(41). Since the lung is associated with an abundance of lymphatic vessels, a tumor is more likely to metastasize to the lung when lymph nodes are positive.…”

Section: Discussionmentioning

confidence: 99%

Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma

Hong

Liu

et al. 2022

Front. Med.

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BackgroundThis study aimed to develop and validate machine learning (ML)-based prediction models for lung metastasis (LM) in patients with Ewing sarcoma (ES), and to deploy the best model as an open access web tool.MethodsWe retrospectively analyzed data from the Surveillance Epidemiology and End Results (SEER) Database from 2010 to 2016 and from four medical institutions to develop and validate predictive models for LM in patients with ES. Patient data from the SEER database was used as the training group (n = 929). Using demographic and clinicopathologic variables six ML-based models for predicting LM were developed, and internally validated using 10-fold cross validation. All ML-based models were subsequently externally validated using multiple data from four medical institutions (the validation group, n = 51). The predictive power of the models was evaluated by the area under receiver operating characteristic curve (AUC). The best-performing model was used to produce an online tool for use by clinicians to identify ES patients at risk from lung metastasis, to improve decision making and optimize individual treatment.ResultsThe study cohort consisted of 929 patients from the SEER database and 51 patients from multiple medical centers, a total of 980 ES patients. Of these, 175 (18.8%) had lung metastasis. Multivariate logistic regression analysis was performed with survival time, T-stage, N-stage, surgery, and bone metastasis providing the independent predictive factors of LM. The AUC value of six predictive models ranged from 0.585 to 0.705. The Random Forest (RF) model (AUC = 0.705) using 4 variables was identified as the best predictive model of LM in ES patients and was employed to construct an online tool to assist clinicians in optimizing patient treatment. (https://share.streamlit.io/liuwencai123/es_lm/main/es_lm.py).ConclusionsMachine learning were found to have utility for predicting LM in patients with Ewing sarcoma, and the RF model gave the best performance. The accessibility of the predictive model as a web-based tool offers clear opportunities for improving the personalized treatment of patients with ES.

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Section: Discussionmentioning

confidence: 99%

Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma

Hong

Liu

et al. 2022

Front. Med.

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“…Studies have revealed that nodal status is the most important and independent prognostic factor for melanoma. [5][6][7] To evaluate regional nodal status, sentinel lymph node biopsy has become common in patients with melanoma without clinically palpable nodes. 2 According to American Society of Clinical Oncology and Society of Surgical Oncology, sentinel lymph node biopsy may be considered for tumor thickness between 0.8 and 1 mm or <0.8 mm with ulceration (T1b) and is often recommended when the tumor thickness exceeds 1 mm.…”

Section: Introductionmentioning

confidence: 99%

“…Studies have revealed that nodal status is the most important and independent prognostic factor for melanoma. 5–7…”

Section: Introductionmentioning

confidence: 99%

Diagnostic value of 18F-fluoro-2-deoxyglucose positron emission tomography/computed tomography imaging in acral melanoma–predominant Asian patients

Chen,

Chu,

et al. 2023

Journal of the Chinese Medical Association

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Background: Tumor staging is crucial for melanoma, of which acral melanoma is the predominant subtype in Asians. 18F-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET) and 18F-FDG-PET/computed tomography (18F-FDG-PET/CT) serve as non-invasive imaging tools for tumor staging. However, the literature is scarce on the diagnostic value of PET for acral melanoma. Methods: From January 1, 2006, to November 30, 2022, a total of 352 patients were diagnosed with melanoma at our hospital. Of them, 90 were diagnosed with cutaneous melanoma and underwent preoperative PET/CT for staging and sentinel lymph node biopsy or complete lymph node dissection. Staging of PET/CT was confirmed by histopathology or following imaging. The lymph node biopsy, distant metastasis status, and PET/CT imaging results were analyzed. Results: Of all the 90 patients with cutaneous melanoma, 72 of them were diagnosed as acral melanoma(80.0%). Compared with the histopathologic results, the lymph nodes were true-positive, true-negative, false-positive, and false-negative in 12, 54, seven, and 17 cases, respectively. The sensitivity of PET/CT for local lymph nodes was 41.4% (95% confidence interval [CI], 23.5–61.1%), while its specificity was 88.5% (95% CI, 77.8–95.3%). As for the detection of distal metastasis, the PET results were true-positive, true-negative, false-positive, and false-negative in six, 65, 15, and four cases, respectively. The sensitivity of PET for distal metastasis detection was 60.0% (95% CI, 26.2–87.8%), while its specificity was 81.3% (95% CI, 71.0–89.1%). Conclusion: Although non-invasive, PET/CT has relatively low sensitivity in regional lymph node evaluations and fair sensitivity in distal metastasis detection in Asian patients with acral melanoma. Thus, PET/CT may be more useful in patients with clinically palpable nodes or more advanced disease stage.

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“…In Caucasians, the disease most often occurs on the back of male patients and on the legs of female patients 3 . In contrast, a significant proportion of Asian melanomas occur on the palms and soles 4 . The variation in body site‐specific incidence among the different regions of the world seems to be correlated with sun exposure and the photoprotective role of skin pigmentation 2,5,6 .…”

Section: Introductionmentioning

confidence: 99%

“…3 In contrast, a significant proportion of Asian melanomas occur on the palms and soles. 4 The variation in body site-specific incidence among the different regions of the world seems to be correlated with sun exposure and the photoprotective role of skin pigmentation. 2,5,6 UV radiation is known to…”

mentioning

confidence: 99%

Genomic profiling with whole‐exome sequencing revealed distinct mutations and novel pathways in Asian melanoma

Chiu

Weng

Lin

et al. 2022

The Journal of Dermatology

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Cutaneous melanoma (CM) is a cancer that develops from melanocytes, involving the epidermis-dermis junction and then invading the dermis and subcutaneous tissue. 1 Melanoma is a potentially fatal cancer and is one of the most common malignancies in terms of years of life lost per death. 2 The incidence of invasive melanoma has risen rapidly in recent decades. 1 Globally, the highest incidence of melanoma is reported in Australia and New Zealand, but the rates are significantly lower in Asia and Africa. 2 In Caucasians, the disease most often occurs on the back of male patients and on the legs of female patients. 3 In contrast, a significant proportion of Asian melanomas occur on the palms and soles. 4 The variation in body site-specific incidence among the different regions of the world seems to be correlated with sun exposure and the photoprotective role of skin pigmentation. 2,5,6 UV radiation is known to

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Factors influencing locoregional recurrence and distant metastasis in Asian patients with cutaneous melanoma after surgery: A retrospective analysis in a tertiary hospital in Taiwan

Cited by 7 publications

References 32 publications

Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma

Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma

Diagnostic value of 18F-fluoro-2-deoxyglucose positron emission tomography/computed tomography imaging in acral melanoma–predominant Asian patients

Genomic profiling with whole‐exome sequencing revealed distinct mutations and novel pathways in Asian melanoma

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