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Objectives To analyze the clinical features and otologic manifestations of first branchial cleft anomalies (FBCAs) and the disparity between Work's classification, and to explore the relationships between postoperative facial paralysis and features of FBCAs. Study Design Retrospective clinical study. Methods A retrospective analysis of 109 patients with FBCAs was conducted, including clinical characteristics and otologic features. Pearson chi‐square tests and Fisher's exact tests were used to compare disparity between Work's classification, and the impact factors of postoperative facial paralysis among 86 patients who were explored in follow‐up. Results Patients with FBCAs presented with otologic symptoms, including cysts or fistula in the external auditory canal (EAC) and periauricular (43.2%), microtia (3.7%), EAC web (1.8%), otitis media (1.8%), and otorrhea (4.6%). Eighty‐five cases (78.0%) were type I FBCAs and 24 (22.0%) were type II. Compared to type I FBCAs, type II (58.3%) was more likely to be located deep to the facial nerve (FN) and to have superficial parotidectomy on them (79.2%). This difference was statistically significant (P < .001). FBCAs deep to the FN had a higher incidence of postoperative facial paralysis (P < .05). Conclusion The majority of patients (55.0%) had otologic symptoms. The FBCAs of Work type II was commonly deep to the FN and superficial parotidectomy was frequently performed. Postoperative facial paralysis was associated with FBCAs located deep to the FN, but not with Work's type. Level of Evidence 4 Laryngoscope, 132:1008–1014, 2022

Various microenvironments influence the multiple differentiation potential of mesenchymal stromal cells. For example, inflammatory microenvironment can suppress the myogenic differentiation capability of laryngeal mucosa mesenchymal stromal cells (LM-MSCs). The present study therefore sought to identify the underlying molecular mechanisms regulating these processes. We isolated a novel population of MSCs, LM-MSCs, from the laryngeal mucosa tissues. The cells were cultured in osteogenic, adipogenic, and myogenic differentiation media in the presence or absence of interleukin-1β and tumor necrosis factor α (to simulate inflammatory microenvironment). The expression of active β-catenin, p-GSK3β, and GSK3β were detected by western blot and real-time polymerase chain reaction. The myogenic differentiation of LM-MSCs in inflammatory microenvironment and the regulation by Dickkopf-1 (DKK1) were tested both in vivo and in vitro. Inflammatory microenvironment could suppress the osteogenesis, adipogenesis, and myogenesis of LM-MSCs. The Wnt/β-catenin signaling pathway was activated during myogenesis in inflammatory microenvironment. The suppressed myogenic differentiation capability of LM-MSCs in inflammatory microenvironment was reversed by DKK1. By regulating the Wnt/β-catenin signaling pathway, DKK1 can improve the myogenic differentiation of LM-MSCs in inflammatory microenvironment. Thus, the results of this study may help improve the efficacy of LM-MSCs injection therapy for vocal fold regeneration.

PurposeThis study aimed to develop a radiomics nomogram to predict pathological response (PR) after induction chemotherapy (IC) and overall survival (OS) in patients with advanced laryngeal cancer (LC).MethodsThis retrospective study included patients with LC (n = 114) who had undergone contrast computerized tomography (CT); patients were randomly assigned to training (n = 81) and validation cohorts (n = 33). Potential radiomics scores were calculated to establish a model for predicting the PR status using least absolute shrinkage and selection operator (LASSO) regression. Multivariable logistic regression analyses were performed to select significant variables for predicting PR status. Kaplan–Meier analysis was performed to assess the risk stratification ability of PR and radiomics score (rad-score) for predicting OS. A prognostic nomogram was developed by integrating radiomics features and clinicopathological characteristics using multivariate Cox regression. All LC patients were stratified as low- and high-risk by the median CT radiomic score, C-index, calibration curve. Additionally, decision curve analysis (DCA) of the nomogram was performed to test model performance and clinical usefulness.ResultsOverall, PR rates were 45.6% (37/81) and 39.3% (13/33) in the training and validation cohorts, respectively. Eight features were optimally selected to build a rad-score model, which was significantly associated with PR and OS. The median OS in the PR group was significantly shorter than that in the non-PR group in both cohorts. Multivariate Cox analysis revealed that volume [hazard ratio, (HR) = 1.43], N stage (HR = 1.46), and rad-score (HR = 2.65) were independent risk factors associated with OS. The above four variables were applied to develop a nomogram for predicting OS, and the DCAs indicated that the predictive performance of the nomogram was better than that of the clinical model.ConclusionFor patients with advanced LC, CT radiomics score was an independent biomarker for estimating PR after IC. Moreover, the nomogram that incorporated radiomics features and clinicopathological factors performed better for individualized OS estimation.