Undifferentiated and Dedifferentiated Metastatic Melanomas Masquerading as Soft Tissue Sarcomas: Mutational Signature Analysis and Immunotherapy Response

Comparisons of clinical characteristics, treatments, and outcomes among different pathological subtypes of chondrosarcoma in the spine

INTRODUCTION

Spinal chondrosarcoma exhibits higher invasiveness and a worse prognosis compared to chondrosarcoma in the extremities. The prognosis and therapeutic plan vary greatly among different pathological subtypes of chondrosarcoma. This study aimed to analyze the differences in clinical characteristics, molecular features, therapeutic effects, and prognostic factors among the subtypes of chondrosarcoma in the spine.

METHODS

A retrospective review was conducted on 205 patients with spinal chondrosarcoma. The clinical features and immunohistochemical (IHC) markers were compared among the pathological subtypes of chondrosarcoma grade 1, grade 2, grade 3, mesenchymal chondrosarcoma (MCS), dedifferentiated chondrosarcoma (DCS), and clear cell chondrosarcoma (CCCS). Chondrosarcoma grade 1/2/3 are collectively referred to as conventional chondrosarcoma (CCS) for multivariate survival analysis. Univariate and multivariate analyses were performed to investigate independent prognostic factors for overall survival (OS) and recurrence-free survival (RFS) in patients with spinal chondrosarcoma. Furthermore, independent prognostic factors for OS and RFS were identified in CCS and MCS.

RESULTS

MCS patients were younger than the other subtypes. Patients with chondrosarcoma grade 1/2 had better OS than those with chondrosarcoma grade 3, MCS and DCS, while only chondrosarcoma grade 1 patients showed better RFS than chondrosarcoma grade 2/3, MCS and DCS patients. Ki-67 index was higher in chondrosarcoma grade 3, MCS and DCS than chondrosarcoma grade 1/2. The comparison of IHC markers further highlighted the overexpression of P53/MDM2 in MCS and DCS. Gross total resection, including en-bloc and piecemeal resection, significantly improved OS and RFS for CCS patients, while only en-bloc resection significantly improved the prognosis of MCS patients. Chemotherapy appeared to be important for the OS of MCS patients.

CONCLUSION

P53/MDM2 pathway was upregulated in MCS and DCS compared to chondrosarcoma grade 1/2. Radical tumor resection is crucial for the treatment of spinal chondrosarcoma, while MCS patients require further comprehensive treatments perioperatively.

Update on cutaneous mesenchymal tumors in the 5th edition of WHO classification of skin tumors with an emphasis on new fusion-associated neoplasms

The section on mesenchymal tumors in the 5th edition of WHO classification of skin tumors has undergone several changes, the most important of which is the inclusion of newly identified tumor entities, which will be the main focus of this review article. These specifically include three novel cutaneous mesenchymal tumors with melanocytic differentiation, and rearrangements of the CRTC1::TRIM11, ACTIN::MITF, and MITF::CREM genes as well as EWSR1::SMAD3-rearranged fibroblastic tumors, superficial CD34-positive fibroblastic tumors, and NTRK-rearranged spindle cell neoplasms. Some of the other most important changes will be briefly mentioned as well.

Management of undifferentiated adrenal gland metastases from malignant melanoma: case report

Adrenal gland metastases from malignant melanoma are a common but poorly characterised condition. Their lack of consistent clinical features and poor response to immune checkpoint inhibitors pose a significant diagnostic and therapeutic challenge to practitioners. This case report describes a 78-year-old male with no prior history of melanoma presenting with nonspecific abdominal symptoms and unintentional weight loss who was found to have undifferentiated bilateral adrenal gland metastases from malignant melanoma. Despite ongoing investigations, the primary site of the adrenal gland metastases remained unknown, prompting the consideration of primary adrenal melanoma as a diagnosis. The patient underwent four cycles of treatment with immune checkpoint inhibitors, nivolumab and ipilimumab, followed by maintenance therapy and subsequent adrenal metastasectomy. Despite therapeutic efforts, the patient's tumour was resistant to treatment and became undifferentiated. The patient continued with palliative care until his death, more than three years after the onset of symptoms. The clinical features, pathophysiology, diagnosis, treatment, and prognosis of this patient's disease are discussed in detail to help inform the management of similar cases.

Inflammatory Rhabdomyoblastic Tumor: From a Nebulous Smooth Muscle Neoplasm to a Novel Skeletal Muscle Tumor Subtype

Inflammatory rhabdomyoblastic tumor is a recently introduced name for neoplasms currently included in the World Health Organization classification of soft tissue tumors under the rubric inflammatory leiomyosarcoma. Inflammatory rhabdomyoblastic tumor is an excellent example of how surgical pathologists working in conjunction with tumor biologists can greatly improve tumor classification to the benefit of patients. Over the last 28 years, understanding of this entity has undergone a fascinating evolution. This review serves as a summary of the latest findings in inflammatory rhabdomyoblastic tumor research and a diagnostic manual for the practicing surgical pathologist.

The practical utility of AI-assisted molecular profiling in the diagnosis and management of cancer of unknown primary: an updated review

Cancer of unknown primary (CUP) presents a complex diagnostic challenge, characterized by metastatic tumors of unknown tissue origin and a dismal prognosis. This review delves into the emerging significance of artificial intelligence (AI) and machine learning (ML) in transforming the landscape of CUP diagnosis, classification, and treatment. ML approaches, trained on extensive molecular profiling data, have shown promise in accurately predicting tissue of origin. Genomic profiling, encompassing driver mutations and copy number variations, plays a pivotal role in CUP diagnosis by providing insights into tumor type-specific oncogenic alterations. Mutational signatures (MS), reflecting somatic mutation patterns, offer further insights into CUP diagnosis. Known MS with established etiology, such as ultraviolet (UV) light-induced DNA damage and tobacco exposure, have been identified in cases of dedifferentiated/transdifferentiated melanoma and carcinoma. Deep learning models that integrate gene expression data and DNA methylation patterns offer insights into tissue lineage and tumor classification. In digital pathology, machine learning algorithms analyze whole-slide images to aid in CUP classification. Finally, precision oncology, guided by molecular profiling, offers targeted therapies independent of primary tissue identification. Clinical trials assigning CUP patients to molecularly guided therapies, including targetable alterations and tumor mutation burden as an immunotherapy biomarker, have resulted in improved overall survival in a subset of patients. In conclusion, AI- and ML-driven approaches are revolutionizing CUP management by enhancing diagnostic accuracy. Precision oncology utilizing enhanced molecular profiling facilitates the identification of targeted therapies that transcend the need to identify the tissue of origin, ultimately improving patient outcomes.