Development and validation of a novel model to predict recurrence-free survival and melanoma-specific survival after sentinel lymph node biopsy in patients with melanoma: an international, retrospective, multicentre analysis

Critical evaluation of sentinel lymph node biopsy in pT1b and pT2a melanoma patients: A nationwide population-based study

INTRODUCTION

Sentinel lymph node biopsy (SLNB) aims to stage patients. According to the 8th edition of the American Joint Committee on Cancer(AJCC) staging manual, patients with pT1b or pT2a melanoma can be eligible for adjuvant immunotherapy, however, only if they have a sentinel node (SN) tumour burden > 1 mm. This study aims to determine the percentage of patients with pT1b or pT2a that will become eligible for adjuvant immunotherapy following SLNB.

METHODS

A nationwide, population-based study was conducted using data from the Dutch Pathology Databank. Patients diagnosed with pT1b and pT2a melanoma between 2002 and 2023 were included. The primary endpoint was the number of SNs with a tumour burden > 1 mm.

RESULTS

We identified 36,606 patients of who 16,042 underwent SLNB. SN positivity was 5 % for patients with pT1b melanoma, and 11 % for pT2a melanoma. A tumour burden > 1 mm was found in 1.5 % and 4.1 %, translating to a number needed to treat (NNT) of 69 for pT1b and 25 for pT2a.

CONCLUSION

This nationwide study demonstrated a low incidence of positive SNs and minimal likelihood of significant clinical outcomes following SLNB. Given the high NNT to be eligible for adjuvant immunotherapy, SLNB may no longer be justified for pT1b melanoma. For patients with pT2a melanoma, SLNB should be considered carefully, balancing limited clinical benefits against potential risks.

External validation of a model to predict recurrence-free and melanoma-specific survival for patients with melanoma after sentinel node biopsy

BACKGROUND

Recently, a model to predict 5-year recurrence-free survival (RFS) and melanoma-specific survival (MSS) after sentinel lymph node biopsy (SLNB) was published. The aim of this study was to validate that model in a large independent international cohort.

METHODS

The database of the Sentinel Lymph Node Working Group (SLNWG) was analysed for patients with malignant melanoma who underwent SLNB. Patients with clinical stage III melanoma, a history of other malignancies, or receiving concomitant systemic therapies during follow-up were excluded. The model's predictive performance was evaluated using discrimination and calibration metrics in the eligible cohort. Decision curve analysis was performed to assess the clinical value of the model.

RESULTS

The external validation cohort consisted of 6174 patients of the SLNWG from the USA, Europe, and Israel. A positive sentinel node was found in 788 patients (12.8%). The area under the time-dependent receiver operating characteristic (ROC) curve of the external validation was 0.76 (95% c.i. 0.74 to 0.77) for RFS and 0.79 (95% c.i. 0.76 to 0.81) for MSS. The model was well calibrated, as the observed 5-year survival rates aligned closely with the predicted survival rates (calibration slope of 0.98 for RFS and calibration slope of 0.99 for MSS). The model provided a net benefit versus the 'treat all' and 'treat none' strategies at the predetermined probability threshold for recurrence of 45%.

CONCLUSION

The model demonstrated good performance in a large heterogeneous independent cohort, emphasizing its robustness. Decision curve analysis revealed a clear net benefit of the model over a treat all strategy, highlighting its potential for clinical use.

Clinical Approaches for the Management of Skin Cancer: A Review of Current Progress in Diagnosis, Treatment, and Prognosis for Patients with Melanoma

Melanoma represents a significant public health challenge due to its increasing incidence and potential for metastasis. This review will explore the current clinical approaches to the management of melanoma, focusing on advancements in diagnosis, treatment, and prognosis. Methods for early detection and accurate staging have been enhanced by new diagnostic strategies. Treatment modalities have expanded beyond traditional surgical excision to include targeted therapy and immunotherapy. Prognostic assessment has benefited from the development of novel biomarkers and genetic profiling. This review will highlight the progress made in the multidisciplinary management of melanoma, underscoring the importance of continuous research to improve patient outcomes.

Transcriptome-Based Network Analysis Related to Histone Deacetylase Genes and Identified EMP1 as a Potential Biomarker for Prognosis in Bladder Cancer

BACKGROUND

Abnormal expression and function of histone deacetylases (HDACs) are closely associated with the development of bladder cancer (BCa). Systematic elucidation of the role of HDACs in BCa is expected to improve BCa prognosis and treatment strategies.

METHODS

We explored the correlation and expression patterns of HDAC family genes in BCa. Consensus clustering was employed to categorize BCa into subtypes based on HDAC expression profiles. Differential analysis, pathway enrichment analysis, and drug responsiveness evaluation were conducted to characterize HDAC subtypes. Then, a prognostic model based on HDAC cluster related genes was constructed and validated across multiple cohorts.

RESULTS

We identified distinct HDAC expression patterns and correlations with immune cell infiltration and enrichment of pathways in cancer, highlighting their role in BCa. Consensus clustering revealed 2 HDAC gene subtypes. Gene cluster 1 showed worse survival, higher clinical stage, and lower immune cell infiltration compared to gene cluster 2. Additionally, pathway enrichment analysis revealed differences in tumor-promoting pathways between the clusters. Moreover, gene cluster 1 exhibited higher resistance to Rho kinase inhibitor drugs. Multi-omic analysis unveiled unique mutation and CNV profiles between the clusters, indicating distinct molecular features. Furthermore, a HDAC gene-related prognostic model demonstrated robust predictive accuracy and identified EMP1 as a key prognostic gene associated with poor survival and enriched metastatic pathways.

CONCLUSION

Our study provides comprehensive insights into the landscape of HDACs in BCa, elucidating their roles in tumor heterogeneity, immune modulation, drug responsiveness, and molecular features. EMP1 is a potential therapeutic target and prognostic marker for BCa.

Braf-Mutant Melanomas: Biology and Therapy

The incidence of melanoma, the most lethal form of skin cancer, has increased mainly due to ultraviolet exposure. The molecular characterization of melanomas has shown a high mutational burden led to the identification of some recurrent genetic alterations. BRAF gene is mutated in 40-50% of melanomas and its role in melanoma development is paramount. BRAF mutations confer constitutive activation of MAPK signalling. The large majority (about 90%) of BRAF mutations occur at amino acid 600; the majority are BRAFV600E mutations and less frequently BRAFv600K, V600D and V600M. The introduction of drugs that directly target BRAF-mutant protein (BRAF inhibitors) and of agents that stimulate immune response through targeting of immune check inhibitor consistently improved the survival of melanoma BRAFV600-mutant patients with unresectable/metastatic disease. In parallel, studies in melanoma stage II-III patients with resectable disease have shown that adjuvant therapy with ICIs and/or targeted therapy improves PFS and RFS, but not OS compared to placebo; however, neoadjuvant therapy plus adjuvant therapy improved therapeutic response compared to adjuvant therapy alone.

Risk stratification models incorporating oxidative stress factors to predict survival and recurrence in patients with gastric cancer after radical gastrectomy: A real-world multicenter study

BACKGROUND

Oxidative stress significantly influences the development and progression of gastric cancer (GC). It remains unreported whether incorporating oxidative stress factors into nomograms can improve the predictive accuracy for survival and recurrence risk in GC patients.

METHODS

3498 GC patients who underwent radical gastrectomy between 2009 and 2017 were enrolled and randomly divided into training cohort (TC) and internal validation cohort (IVC). Cox regression analysis model was used to evaluate six preoperative oxidative stress indicators to formulate the Systemic oxidative stress Score (SOSS). Two nomograms based on SOSS was constructed by multivariate Cox regression and validated using 322 patients from another two hospitals.

RESULTS

A total of 3820 patients were included. The SOSS, composed of three preoperative indicators-fibrinogen, albumin, and cholesterol-was an independent prognostic factor for both overall survival (OS) and disease-free survival (DFS). The two nomograms based on SOSS showed a significantly higher AUC than the pTNM stage (OS: 0.830 vs. 0.778, DFS: 0.824 vs. 0.775, all P < 0.001) and were validated in the IVC and EVC (all P < 0.001). The local recurrence rate, peritoneal recurrence rate, distant recurrence rate and multiple recurrence rate in high-risk group were significantly higher than those in low-risk group (P < 0.05).

CONCLUSIONS

The two novel nomograms based on SOSS which was a combination score of three preoperative blood indicators, demonstrated outstanding predictive abilities for both survival and recurrence in GC patients with different risk groups, which may potentially improve survival through perioperatively active intervention strategies and individualized postoperatively close surveillance.

The Prognostic Value of Proliferative Activity in Cutaneous Melanoma: A Pilot Study Evaluating the Mitotic Rate and Ki67 Index to Predict Patient Outcomes

Proliferative activity in cutaneous melanomas can be appreciated both histopathologically by counting mitotic figures and immunohistochemically through the Ki67 index, but the prognostic value of each method is still a matter of debate. In this context, we performed a retrospective study on 33 patients diagnosed with cutaneous melanomas between 2013 and 2018 in order to evaluate progression-free survival and overall survival. Multivariate Cox proportional hazards regression was performed by considering both clinical histopathological and immunohistochemical features. The mitotic rate was significantly independently associated with both outcomes, while the Ki67 index was not an independent prognostic factor. However, the Ki67 predictive accuracy could be improved by establishing both a cut-off value and a standardized protocol for evaluating its expression. Until these desiderata are met, the mitotic rate remains superior to the Ki67 index for predicting prognosis in cutaneous melanomas, as also has the advantage of being easily interpreted in a standard histopathological examination regardless of the pathologist's experience and with no further financial expenses. Importantly, this is one of very few articles that has shown perineural invasion to be an independent prognostic factor for both progression-free survival and overall survival in cutaneous melanomas. As a consequence, this parameter should become a mandatory feature in the histopathological evaluation of cutaneous melanomas as it can improve the identification of patients who are at high risk for disease progression.