Most patients with advanced solid cancers exhibit features of cachexia, a debilitating syndrome characterized by progressive loss of skeletal muscle mass and strength. Because the underlying mechanisms of this multifactorial syndrome are incompletely defined, effective therapeutics have yet to be developed. Here, we show that diminished bone morphogenetic protein (BMP) signaling is observed early in the onset of skeletal muscle wasting associated with cancer cachexia in mouse models and in patients with cancer. Cancer-mediated factors including Activin A and IL-6 trigger the expression of the BMP inhibitor Noggin in muscle, which blocks the actions of BMPs on muscle fibers and motor nerves, subsequently causing disruption of the neuromuscular junction (NMJ), denervation, and muscle wasting. Increasing BMP signaling in the muscles of tumor-bearing mice by gene delivery or pharmacological means can prevent muscle wasting and preserve measures of NMJ function. The data identify perturbed BMP signaling and denervation of muscle fibers as important pathogenic mechanisms of muscle wasting associated with tumor growth. Collectively, these findings present interventions that promote BMP-mediated signaling as an attractive strategy to counteract the loss of functional musculature in patients with cancer.

Background The diagnostic accuracy of reflectance confocal microscopy (RCM) of cutaneous malignant melanoma (MM) seems promising. However, clinical scenarios in which RCM is most useful are still to be established. Objectives To assess the diagnostic accuracy of RCM for MM diagnosis according to study design, lesion type and diagnostic modality. Secondary outcomes include a comparison with dermoscopy. Methods A systematic literature search was conducted on PubMed, Embase, Scopus and Cochrane Public Library Databases for English articles published prior to January 2019. Statistical analyses were conducted with Meta-Disc v. 1.4, STATA 14.0 software and the QUADAS-2 tool. Results A total of 32 studies (7352 lesions) were included in the meta-analysis. Pooled sensitivity and specificity resulted 92% (95% CI: 0.91-0.93) and 70% (95% CI: 0.69-0.71), respectively. According to study design, diagnostic sensitivity was high for all study types, confirming a lower specificity for prospective interventional studies. Diagnostic accuracy remained high for all lesion types, with the highest specificity obtained for consecutive lesions of 77% (95% CI: 0.75-0.78) vs. 65% (95% CI: 0.63-0.66) for lesions highly suspicious for MM. RCM diagnostic accuracy was superior to dermoscopy, most notably in terms of specificity of 56% (95% CI: 0.52-0.60) vs. 38% (95% CI: 0.34-0.42), respectively. Studies were generally assessed across all domains as low or unclear risk of bias with a mainly low concern regarding applicability of evidence. Publication bias was asymmetrical (11.2 AE 4.0; 95% CI 2.97-19.43; P < 0.01). Conclusions Independent of study design, RCM has a high diagnostic power for MM detection, and unnecessary excisions are reduced compared to dermoscopy. This reduction is most evident in non-decisional RCM scenarios and for lesions analysed at RCM consecutively compared to those selected highly suspicious for MM. However, the scarcity, heterogeneity and bias associated with the data in literature should be considered when interpreting present conclusions.

Non‐invasive reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) have been extended to the dermo‐cosmetic field, for skin pathophysiology understanding and therapeutics monitoring. However, standardized methodology and parameters to interpret structures and changes in these settings are still lacking. Present study aimed to propose a validated standard methodology and a list of defined parameters for objective non‐pathological skin assessments in the cosmetically sensitive cheekbone area of the face. OCT and RCM quantitative, semi‐quantitative and qualitative features were considered for assessments. Validation process included 50 sets of images divided into two age groups. Inter‐rater reliability was explored to assess the influence of the proposed methodology. Quantitative OCT parameters of “epidermal thickness,” “density and attenuation coefficients” and “vascular density” were considered and calculated. Severity scales were developed for semi‐quantitative OCT features of “disruption of collagen” and “vascular asset,” while extent scales were produced for semi‐quantitative RCM “irregular honeycomb,” “mottled pigmentation” and “polycyclic papillary contours.” Qualitative assessment was obtained for RCM type of collagen, and comparison between age groups was performed for all features considered. Severity visual scales assistance proved excellent inter‐rater agreement across all semi‐quantitative and qualitative domains. The assistance of shareable software systems allows for objective OCT quantitative parameters measurement. The use of standard reference scales, within a defined assessment methodology, offers high inter‐rater reliability and thus reproducibility for semi‐quantitative and qualitative OCT and RCM parameters. Taken together, our results may represent a starting point for a standardized application of RCM and OCT in dermo‐cosmetic research and practice.

Background/Objectives: Non-invasive skin imaging features of main skin inflammatory and autoimmune diseases have been reported, although a comprehensive review of their correlation with histopathologic features is currently lacking. Therefore, the aim of this paper was to review the correlation of dermoscopic, reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) criteria of main inflammatory and autoimmune skin diseases with their corresponding histopathologic criteria correlation.Conclusions: Although the role of RCM and OCT has yet to be defined in clinical practice, noninvasive skin imaging shows promising results on inflammatory and autoimmune skin diseases, due to the correlation with histopathologic features.