The Impact of Socioeconomic Status on the Incidence and Stage of Melanoma in China: A Single-Center Observational Study.

BACKGROUND: The role of high socioeconomic status (SES) as an established risk factor for melanoma has been well documented in Western countries and regions. However, research on the association between melanoma and SES in China remains limited. This study aimed to investigate the association between SES and melanoma incidence and stage in China. METHODS: Five measures of SES were accessed, including education level, ethnic background, per capita household income, occupation, and medical insurance coverage. A scoring system based on the Kuppuswamy Socio-Economic Scale was used to create a quantitative assessment of SES. To improve clarity and precision, we refined the language in the original text. Clinical stage at diagnosis was classified according to the Chinese Society Oncology Melanoma Guidelines. RESULTS: A total of 122 patients with pathologic melanoma were enrolled in this study from January 2013 to December 2017. Of these patients, 58 (48%) were male and 64 (52%) were female, with a mean age of 59.23 ± 9.91 years. Patients in the age groups of 45-59 and 60-73 had a higher incidence of melanoma compared to other age groups. Acral lentiginous melanoma was the most commonly observed subtype, accounting for 48% of cases. Patients with a low level of education (middle school and below) and a low level of monthly household income (<3000 CNY) had a higher risk of developing melanoma, as did those who were unemployed. Interestingly, a higher proportion of melanoma diagnoses were made in patients with medical insurance than those without. However, no significant differences in melanoma staging were found based on education level (P = 0.153), monthly household income (P = 0.507), occupation (P = 0.687), or insurance status (P = 0.537). According to the Kuppuswamy Socio-Economic Scale, there were 0 in upper class, 50 in upper middle class, 44 in lower middle class, 28 in upper lower class, 0 in lower class. The mean K-score was 13.85. No statistically significant interaction was observed between K-score and tumor stage. CONCLUSIONS: Patients with lower SES have a higher risk of developing melanoma. However, no significant differences were found in melanoma staging based on SES.

Evaluation of the Efficacy and Safety of Pedicled Perforator Flap Technique for Salvage Nipple Reconstruction in Breast Cancer Patients: A Pilot Study.

OBJECTIVE: We propose a pedicled perforator flap technique for salvage nipple reconstruction after initial nipple reconstruction fails in breast cancer patients. METHODS: This is a pilot study. A total of 21 female breast cancer patients who underwent nipple reconstruction following initial nipple reconstruction fails were enrolled, and salvage nipple reconstruction based pedicled perforator flap were performed between 2016 and 2020. Operative time, perforator design, postoperative complications, follow-up duration, projection of nipple, as well as patient-reported outcomes measured by the BREAST-Q and visual analogue scale (VAS) were assessed. RESULTS: Sixteen patients underwent fifth lateral intercostal artery perforator reconstruction, while 5 patients underwent fifth anterior intercostal artery perforator flap reconstruction. The surgeries were successful without intraoperative complications, with a mean operative time of 67 minutes. Postoperative complications were absent. The mean follow-up duration was 18 months. The mean nipple projection was 8 mm (range, 6-10 mm) with a shrinkage of 20% at 6 months after surgery. The average scores for psychosocial well-being, satisfaction with breasts, and satisfaction with nipples domains of the BREAST-Q significantly increased (P < .01) at 6 months post-reconstruction. Sexual well-being subdomain showed no statistical difference (P = .9369). The VAS scores for cosmesis and patient satisfaction with surgery were 9 and 9.3, respectively. CONCLUSION: The pedicled perforator flap technique for salvage nipple reconstruction is a safe and effective approach.

Predicting immunotherapy response in melanoma using a novel tumor immunological phenotype-related gene index.

Introduction: Melanoma is a highly aggressive and recurrent form of skin cancer, posing challenges in prognosis and therapy prediction. Methods: In this study, we developed a novel TIPRGPI consisting of 20 genes using Univariate Cox regression and the LASSO algorithm. The high and low-risk groups based on TIPRGPI exhibited distinct mutation profiles, hallmark pathways, and immune cell infiltration in the tumor microenvironment. Results: Notably, significant differences in tumor immunogenicity and TIDE were observed between the risk groups, suggesting a better response to immune checkpoint blockade therapy in the low-TIPRGPI group. Additionally, molecular docking predicted 10 potential drugs that bind to the core target, PTPRC, of the TIPRGPI signature. Discussion: Our findings highlight the reliability of TIPRGPI as a prognostic signature and its potential application in risk classification, immunotherapy response prediction, and drug candidate identification for melanoma treatment. The "TIP genes" guided strategy presented in this study may have implications beyond melanoma and could be applied to other cancer types.

Circular RNA circFCHO2(hsa_circ_0002490) promotes the proliferation of melanoma by directly binding to DND1.

Circular RNAs (circRNAs) have been documented to play crucial roles in the biology of various cancers. However, their investigation in melanoma is still at an early stage, particularly as a broader mechanism beyond acting as miRNA sponges needs to be explored. We report here that circFCHO2(hsa_circ_0002490), a circRNA encompassing exons 19 and 20 of the FCHO2 gene, exhibited a consistent overexpression in melanoma tissues. Furthermore, elevated circFCHO2 levels demonstrated a positive correlation with the malignant phenotype and poor prognosis among the 158 melanoma patients studied. Besides, we observed that heightened levels of circFCHO2 promoted melanoma cell proliferation, migration, and invasion in vitro, along with contributing to tumor growth in vivo. Furthermore, we found differences in the secondary structure of circFCHO2 compared to most other circular RNA structures. It has fewer miRNA binding sites, while it has more RNA binding protein binding sites. We therefore speculate that circFCHO2 may have a function of interacting with RNA binding proteins. Mechanistically, it was confirmed by fluorescence in situ hybridization (FISH), RNA-pull down, RNA immunoprecipitation (RIP), and western blotting assays that circFCHO2 interacts with dead end protein homolog 1 (DND1) and reverses the inhibition of the PI3K/AKT signaling pathway by binding to DND1. Our findings reveal that circFCHO2 drives melanoma progression by regulating the PI3K/AKT signaling pathway through direct binding to DND1 and may serve as a potential diagnostic biomarker and therapeutic target for the treatment of melanoma.

Melanoma Derived Exosomes Amplify Radiotherapy Induced Abscopal Effect via IRF7/I-IFN Axis in Macrophages.

Radiotherapy (RT) can induce tumor regression outside the irradiation field, known as the abscopal effect. However, the detailed underlying mechanisms remain largely unknown. A tumor-bearing mouse model is successfully constructed by inducing both subcutaneous tumors and lung metastases. Single-cell RNA sequencing, immunofluorescence, and flow cytometry are performed to explore the regulation of tumor microenvironment (TME) by RT. A series of in vitro assays, including luciferase reporter, RNA Pulldown, and fluorescent in situ hybridization (FISH) assays, are performed to evaluate the detailed mechanism of the abscopal effect. In addition, in vivo assays are performed to investigate combination therapy strategies for enhancing the abscopal effect. The results showed that RT significantly inhibited localized tumor and lung metastasis progression and improved the TME. Mechanistically, RT promoted the release of tumor-derived exosomes carrying circPIK3R3, which is taken up by macrophages. circPIK3R3 promoted Type I interferon (I-IFN) secretion and M1 polarization via the miR-872-3p/IRF7 axis. Secreted I-IFN activated the JAK/STAT signaling pathway in CD8+ T cells, and promoted IFN-γ and GZMB secretion. Together, the study shows that tumor-derived exosomes promote I-IFN secretion via the circPIK3R3/miR-872-3p/IRF7 axis in macrophages and enhance the anti-tumor immune response of CD8+ T cells.

Delineating the early dissemination mechanisms of acral melanoma by integrating single-cell and spatial transcriptomic analyses.

Acral melanoma (AM) is a rare subtype of melanoma characterized by a high incidence of lymph node (LN) metastasis, a critical factor in tumor dissemination and therapeutic decision-making. Here, we employ single-cell and spatial transcriptomic analyses to investigate the dynamic evolution of early AM dissemination. Our findings reveal substantial inter- and intra-tumor heterogeneity in AM, alongside a highly immunosuppressive tumor microenvironment and complex intercellular communication networks, particularly in patients with LN metastasis. Notably, we identify a strong association between MYC+ Melanoma (MYC+MEL) and FGFBP2+NKT cells with LN metastasis. Furthermore, we demonstrate that LN metastasis requires a metabolic shift towards fatty acid oxidation (FAO) induced by MITF in MYC+MEL cells. Etomoxir, a clinically approved FAO inhibitor, can effectively suppress MITF-mediated LN metastasis. This comprehensive dataset enhances our understanding of LN metastasis in AM, and provides insights into the potential therapeutic targeting for the management of early AM dissemination.

Decoding the metastatic potential and optimal postoperative adjuvant therapy of melanoma based on metastasis score.

Metastasis is a formidable challenge in the prognosis of melanoma. Accurately predicting the metastatic potential of non-metastatic melanoma (NMM) and determining effective postoperative adjuvant treatments for inhibiting metastasis remain uncertain. In this study, we conducted comprehensive analyses of melanoma metastases using bulk and single-cell RNA sequencing data, enabling the construction of a metastasis score (MET score) through diverse machine-learning algorithms. The reliability and robustness of the MET score were validated using various in vitro assays and in vivo models. Our findings revealed a distinct molecular landscape in metastatic melanoma characterized by the enrichment of metastasis-related pathways, intricate cell-cell communication, and heightened infiltration of pro-angiogenic tumor-associated macrophages compared to NMM. Importantly, patients in the high MET score group exhibited poorer prognoses and an immunosuppressive microenvironment, featuring increased infiltration of regulatory T cells and decreased infiltration of CD8+ T cells, compared to the low MET score patient group. Expression of PD-1 was markedly higher in patients with low MET scores. Anti-PD-1 (aPD-1) therapy profoundly affected antitumor immunity activation and metastasis inhibition in these patients. In summary, our study demonstrates the effectiveness of the MET score in predicting melanoma metastatic potential. For patients with low MET scores, aPD-1 therapy may be a potential treatment strategy to inhibit metastasis. Patients with high MET scores may benefit from combination therapies.

Prediction of survival and immunotherapy response by the combined classifier of G protein-coupled receptors and tumor microenvironment in melanoma.

BACKGROUND: Melanoma is the deadliest form of skin tumor, and G protein-coupled receptors (GPCRs) play crucial roles in its carcinogenesis. Furthermore, the tumor microenvironment (TME) affects the overall survival (OS) and the response to immunotherapy. The combination of GPCRs and TME from a multi-omics perspective may help to predict the survival of the melanoma patients and their response to immunotherapy. METHODS: Bulk-seq, single-cell RNA sequencing (scRNA-seq), gene mutations, immunotherapy responses, and clinicopathologic feature data were downloaded from public databases, and prognostic GPCRs and immune cells were screened using multiple machine learning algorithms. The expression levels of GPCRs were detected using real-time quantitative polymerase chain reaction (qPCR) in A375 and HaCaT cell lines. The GPCR-TME classifier was constructed and verified using different cohorts and multi-omics. Gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), and tracking tumor immunophenotype (TIP) were used to identify the key biological pathways among the GPCR-TME subgroups. Then, tumor mutational burden (TMB), vital mutant genes, antigen presentation genes, and immune checkpoints were compared among the subgroups. Finally, the differences in immunotherapy response rates among the GPCR-TME subgroups were investigated. RESULTS: A total of 12 GPCRs and five immune cell types were screened to establish the GPCR-TME classifier. No significant differences in the expression levels of the 12 GPCRs were found in the two cell lines. Patients with high GPCR score or low TME score had a poor OS; thus, the GPCRlow/TMEhigh subgroup had the most favorable OS. The scRNA-seq result revealed that immune cells had a higher GPCR score than tumor and stromal cells. The GPCR-TME classifier acted as an independent prognostic factor for melanoma. GSEA, WGCNA, and TIP demonstrated that the GPCRlow/TMEhigh subgroup was related to the activation and recruitment of anti-tumor immune cells and the positive regulation of the immune response. From a genomic perspective, the GPCRlow/TMEhigh subgroup had higher TMB, and different mutant genes. Ultimately, higher expression levels of antigen presentation genes and immune checkpoints were observed in the GPCRlow/TMEhigh subgroup, and the melanoma immunotherapy cohorts confirmed that the response rate was highest in the GPCRlow/TMEhigh cohort. CONCLUSIONS: We have developed a GPCR-TME classifier that could predict the OS and immunotherapy response of patients with melanoma highly effectively based on multi-omics analysis.

Antiphotoaging Effect of Micronized Fat in Ultraviolet B-Induced Human Dermal Fibroblasts.

BACKGROUND: Adipose-derived stromal vascular fraction (SVF) and mesenchymal stem cells have been proven to reduce the effects of skin photoaging. However, there is no standardized protocol for their preparation. This study aimed to investigate the skin rejuvenation potential of micronized fat, obtained using a novel device attached with a trifoliate blade, in the ultraviolet B (UV-B)-induced human dermal fibroblast model. METHODS: Micronized fat was prepared to obtain adipose-derived SVF, and the adipose-derived mesenchymal stem cell-to-SVF ratio was determined by flow cytometry. The UV-B-induced human dermal fibroblasts model was constructed to identify the characteristics of the human dermal fibroblasts using vimentin and S-100 immunostaining, observe their morphology, and measure the levels of photoaging-related factors. After the previous steps were completed, different cell groups were co-cultured with UV-B-induced human dermal fibroblasts, and the extent of improvement of photoaging was evaluated. RESULTS: Micronized fat had a higher adipose-derived mesenchymal stem cell-to-SVF ratio than the control fat preparations. The UV-B-induced human dermal fibroblasts model showed lowered levels of type I collagen and transforming growth factor-ß and increased expression of matrix metalloproteinases (MMPs), which are the characteristics of photoaging in normal human dermal fibroblasts. Compared with different cell groups co-cultured with UV-B-induced human dermal fibroblasts, micronized fat could lower the expression of MMPs and increase the level of type I collagen but lower the level of transforming growth factor-ß. CONCLUSIONS: Obtaining micronized fat is more effortless and clinically safer. Micronized fat has an antiphotoaging effect by inhibiting the expression of MMPs by means of the mitogen-activated protein kinases signaling pathway. CLINICAL RELEVANCE STATEMENT: The authors' work has potential clinical applications in fat grafting for facial rejuvenation.

Value of growth arrest lines for predicting treatment effect on children with distal tibial epiphysis fractures.

Objective: This study aims to explore whether growth arrest lines can predict epiphyseal fracture healing. Method: The data of 234 children with distal tibial epiphysis fractures treated in our hospital from February 2014 to February 2022 were retrospectively analyzed. Imaging data were examined to record epiphyseal grade, fracture type, and the time to appearance of growth arrest lines. Follow-up data were retrieved to record treatment results (i.e., malunion, premature closure, or bone bridge formation). Results: There was a significant difference in the time to appearance of growth arrest lines between patients with epiphyseal grade 0-1 and grade 2-3 (P < 0.05) and between patients with normal healing and patients with a bone bridge (P < 0.05). Among patients with normal healing, there were no significant differences in the time to appearance of growth arrest lines between men and women and between patients with and without surgery (P > 0.05). There was a significant difference in the time to appearance of growth arrest lines between patients with different Salter-Harris fracture types (P < 0.05). Conclusion: For patients with epiphyseal grade 0-1, the time to appearance of growth arrest lines could be useful for predicting the treatment result of a distal tibial epiphyseal fracture.

Repeated Lipoteichoic Acid Injection at Low Concentration Induces Capsular Contracture by Activating Adaptive Immune Response through the IL-6/STAT3 Signaling Pathway.

BACKGROUND: Capsular contracture is the most common complication of breast implantation surgery. Bacterial contamination was considered to play an important role in the occurrence of capsular contracture, and Gram-positive bacteria such as Staphylococcus epidermidis were discovered in the clinical specimens. Lipoteichoic acid (LTA) was a component of the cell wall of Gram-positive bacteria and was sufficient in the pathogenicity of the bacteria. The authors assumed that LTA could trigger the immunologic response against the implant and cause capsular contracture. METHODS: The authors developed a rat model of capsular contracture by repeated injection of 10 µg/mL LTA. The histologic changes of the capsule tissue were measured by hematoxylin and eosin, sirius red, Masson, and immunohistochemical staining. The expression of related cytokines was measured by quantitative real-time polymerase chain reaction. The downstream pathway activation was shown by Western blot. The authors also applied tocilizumab, an interleukin (IL)-6 receptor antagonist, to verify the role of IL-6 in this pathologic process. RESULTS: The authors discovered that repeated LTA injection, at a low concentration, could induce the thickening of capsule tissue, the deposition of collagen fiber, and the activation of myofibroblasts. The IL-6/signal transducer and activator of transcription 3 signaling pathway was activated in this process, and the inhibition of IL-6 receptor could relieve the symptoms. B cells and T-helper cells, especially T-helper type 1, could be related to this phenomenon. CONCLUSIONS: The authors' research corroborated that subclinical infection could trigger capsular contracture, and the immune system played an important role in this process. The authors' results provided a possible research direction for the mechanism of bacterial infection-induced immune response against breast implants. CLINICAL RELEVANCE STATEMENT: The authors' research provides a possible research direction for the mechanism of bacterial infection-induced immune response against breast implants, and a potential target for predicting the prognosis of capsular contracture.

Dorsal Hexagon Local Flap Without Skin Graft for Web Reconstruction of Congenital Syndactyly.

PURPOSE: The ideal web reconstruction for syndactyly requires both satisfactory function and aesthetic appearance. In this study, we report a dorsal hexagon local flap with adequate size and that leaves most of the scars in the interdigital space. METHODS: Between June 2015 and June 2017, 16 patients (10 males and 6 females) with 22 syndactylies underwent surgical reconstruction using the dorsal hexagon local flap technique. All patients had simple syndactyly. The postoperative evaluation included the quality of scarring, the extent of flexion and extension deformity, web creep, lateral flexion deformity, and rotational deformity of the digit. RESULTS: All flaps survived and there were no postoperative complications. All patients achieved satisfactory interdigital commissure depth. During 12 to 34 months of follow-up, no case of flexion contracture or web creep after reconstruction was noted. CONCLUSIONS: The dorsal hexagon local flap is an alternative method for syndactyly reconstruction. TYPE OF STUDY/LEVEL OF EVIDENCE: Therapeutic IV.

A predictive model to estimate the pretest probability of metastasis in patients with osteosarcoma.

Osteosarcomas (OSs) represent a huge challenge to improve the overall survival, especially in metastatic patients. Increasing evidence indicates that both tumor-associated elements but also on host-associated elements are under a remarkable effect on the prognosis of cancer patients, especially systemic inflammatory response. By analyzing a series prognosis of factors, including age, gender, primary tumor size, tumor location, tumor grade, and histological classification, monocyte ratio, and NLR ratio, a clinical predictive model was established by using stepwise logistic regression involved circulating leukocyte to compute the estimated probabilities of metastases for OS patients. The clinical predictive model was described by the following equations: probability of developing metastases = ex/(1 + ex), x = -2.150 +  (1.680 × monocyte ratio) + (1.533 × NLR ratio), where is the base of the natural logarithm, the assignment to each of the 2 variables is 1 if the ratio >1 (otherwise 0). The calculated AUC of the receiver-operating characteristic curve as 0.793 revealed well accuracy of this model (95% CI, 0.740-0.845). The predicted probabilities that we generated with the cross-validation procedure had a similar AUC (0.743; 95% CI, 0.684-0.803). The present model could be used to improve the outcomes of the metastases by developing a predictive model considering circulating leukocyte influence to estimate the pretest probability of developing metastases in patients with OS.