Background: Laryngeal squamous cell carcinoma (LSCC) is one of the world’s most common head and neck cancer. However, the immune infiltration phenotypes of LSCC have not been well investigated. Methods: The multi-omics data of LSCC were obtained from the TCGA (n=111) and GEO (n=57) datasets. The infiltrations of the 24 immune cell populations were calculated using the GSVA method. Then LSCC samples with different immune cell infiltrating patterns were clustered, and the multi-omics differences were investigated. Results: Patients were clustered into the high-infiltration and low-infiltration groups. The infiltration scores of most immune cells were higher in the high-infiltration group. Patients with high-infiltration phenotype have high N and TNM stages but better survival, as well as less mutated COL11A1 and MUC17. Common targets of immunotherapies such as PD1, PDL1, LAG3, and CTLA4 were significantly up-regulated in the high-infiltration group. The differentially expressed genes were mainly enriched in several immune-related GOs and KEGG pathways. Based on the genes, miRNAs, and lncRNAs differentially expressed in both the TCGA and GEO cohorts, we built a ceRNA network, in which BTN3A1, CCR1, miR-149-5p, and so on, located at the center. A predictive model was also constructed to calculate a patient’s immune infiltration phenotype using 16 genes’ expression values, showing excellent accuracy and specificity in the TCGA and GEO cohorts. Conclusions: In this study, the immune infiltration phenotypes of LSCC and the corresponding multi-omics differences were explored. Our model might be valuable to predicting immunotherapy’s outcome.

Background. This study is aimed at investigating the expressions and prognostic values of secreted or membrane-located proteins (SMPs) in laryngeal squamous cell carcinoma (LSCC). The correlations between the expressions of SMPs and immune cells infiltrations were also investigated. Methods. The expression data of normal laryngeal and LSCC samples were obtained from the TCGA and GEO datasets. The differentially expressed SMPs were identified, and their prognostic values were analyzed. The biological functions of differentially expressed and worse-survival-related SMPs were explored. LASSO regression, Cox multivariate analysis, and nomogram were used to construct a model to predict the survival. Then, the infiltrations of the 24 immune cell populations were calculated using the GSVA method, and the correlations between the expression of SMPs and the immune infiltration were investigated. Results. 122 samples (12 normal and 120 LSCC) of the TCGA database and 114 samples (57 normal and 57 LSCC) of GSE127165 were included. We identified that 138 SMPs were significantly upregulated in LSCC samples of both the TCGA and GEO datasets, among which 52 SMPs were significantly correlated with worse survival. GO and KEGG analyses revealed those 52 SMPs significantly participate in tumor microenvironment and immune cells communication. Nine of 52 SMPs (ABCC5, ATP1B3, CLEC11A, FLNA, FSTL3, MMP1, NME1, OAS3, and PHLDB2) were included in the nomogram to effectively and accurately predict the LSCC patients survival. The expressions of most SMPs, such as MMP1 and FSTL3, were significantly positively correlated with the immune infiltration of LSCC. Conclusions. In this study, the expression, prognostic values, and correlations with immune infiltration of SMPs were analyzed in LSCC samples. Our analyses identified several significant SMPs differentially expressed between normal laryngeal and LSCC samples, correlated with worse survival, and related to the immune infiltration.

Lymphoepithelial carcinoma of salivary gland (LECSG) is a rare malignant tumor. Whether postoperative radiotherapy (PORT) can improve locoregional control and which patients can benefit from PORT are unknown. This study aimed to evaluate the role of PORT and provide individualized suggestions for postoperative therapy in patients with LECSG. We retrospectively reviewed patients with nonmetastatic LECSG who underwent surgery with or without PORT. Recursive partitioning analysis (RPA) was performed to categorize the patients and predict progression-free survival (PFS). A total of 223 patients were included, 34 (15.2%) received surgery alone, whereas the remaining 189 (84.8%) underwent PORT in the initial treatment. Although patients in the PORT group were with advanced T stage and N stage, the PORT group had an advantage over the non-PORT group on 1-year, 5-year and 10-year PFS and locoregional control (LRC). PORT was an independent prognostic factor for PFS and LRC. Furthermore, compared with T stage and N stage, the size of the primary tumor and the number of positive lymph nodes were better prognostic predictors. The RPA model was generated according to the endpoint of PFS and categorized patients into 3 prognostic groups: low-risk (maximum diameter of primary lesion (≤3 cm) and number of positive lymph nodes (≤2)), intermediate-risk (maximum diameter of primary lesion (>3 cm) and number of positive lymph nodes (≤2)), and high-risk (number of positive lymph nodes (>2)), with corresponding 5-year PFS rates of 90.0%, 75.0%, and 51.0%, respectively. Significant improvement in PFS was observed in the PORT group among intermediate-risk (P = 0.000) and high-risk patients (P = 0.000). PORT was shown to be a positive prognostic factor for PFS and LRC of LECSG. PORT was an essential treatment especially for patients with >3 cm maximum diameter of primary lesion and/or >2 positive lymph nodes.

To investigate the efficacy and safety of nimotuzumab (NTZ) combined with concurrent chemo-radiotherapy (CCRT) in induction chemotherapy (IC) resistant locally advanced nasopharyngeal carcinoma (LANPC). A single-arm, open-label phase II clinical trial was conducted (NCT04508816). Eligible patients were 18-70 years old, pathologically confirmed NPC at stage III-IVA, stable disease or progressive disease after IC by imaging evaluation, and ECOG performance status with 0-1. All patients received intensity-modulated radiotherapy (IMRT) concurrent with chemotherapy and NTZ (200 mg/w). The primary endpoint was progression-free survival (PFS). The secondary endpoints were overall survival (OS), objective response rate (ORR) and safety. From May 2015 to July 2020, 56 NPC patients were enrolled. With the median follow-up of 34 months (range from 8 to 77 months), the 3-year and 5-year PFS and OS rates were 79.3 % and 72.1 %, 94.0 % and 87.2 %, respectively. ORR of the nasopharynx and cervical lymph nodes involvement were 98.2 % and 98.1 % three months after IMRT. Univariate analysis revealed that pretreatment PET/CT was the factor that influenced PFS (P = 0.038). Patients treated with ≥6 weeks of NTZ showed improved 3-year PFS rate (83.0% vs. 73.9 %, P > 0.05) and 5-year PFS rate (83.0% vs. 61.6 %, P>0.05) compared with <6 weeks NTZ. The acute toxicities were mainly grade 1/2 hematologic. Severe toxicities were uncommon. The major grade 3/4 AE was neutropenia (26.8 %). The results demonstrated that NTZ combined with CCRT in IC resistant LANPC was effective with mild toxicity.

Objective: To evaluate whether the combination of immune checkpoint inhibitor (ICI) with chemotherapy is more effective than ICI alone in the treatment of recurrent, locoregionally advanced, unresectable nasopharyngeal carcinoma (RAU-NPC), which has progressed after second line chemotherapy. Methods and materials: Patients with RAU-NPC that progressed after second chemotherapy were prescribed ICI once every 3 weeks, either alone or combined with chemotherapy at the discretion of treating physicians, until confirmed disease progression, unacceptable toxicity, or voluntary withdrawal. The primary endpoint was the objective response rate (ORR). The secondary endpoints included safety, duration of response (DOR), and progression-free survival (PFS). Results: From June 2016 to July 2021, 28 patients were enrolled in this study.21 patients received ICI plus chemotherapy, and 7 patients received ICI alone. Altogether, there were 7 (25%) complete response (CR) and 12 (42.8%) partial response (PR), respectively. Stable disease (SD) and progressive disease (PD) were defined in 4 (14.3%) and 5 (17.8%) cases, respectively. The ORR was 19 out of 28 (67.8%). The disease control rate (DCR) was 23 out of 28 (82.1%).Two patients (28.6%) in the ICI alone group and five (23.8%) in the combination group achieved CR (P=0.801). 2 patient (28.6%) in the ICI alone group and 10 (47.6%) in the combination group achieved PR (P=0.378). With a median follow-up of 16 months (2-61 months), five patients terminated ICI due to disease progression, one patient was lost to follow-up, and the remaining 22 patients continued with ICI. Neither the median PFS nor the median DOR was reached. All observed adverse events were defined as ≤ Grade 2. Conclusion: ICI alone or combined with chemotherapy demonstrated promising antitumor activity in RAU-NPC patients that progressed after second line chemotherapy, with a low toxicity profile. Compared with ICI alone, chemotherapy plus ICI did not improve CR or PR in our study.

This paper proposes a metal artifact reduction method of using MV-CBCT images to correct metal artifacts in kV-CT images, especially for the complex metal artifacts caused by multi-metal interaction of patients with head and neck tumors. The different tissue regions are segmented in the MV-CBCT images to obtain template images and the metal region is segmented in the kV-CT images. Forward projection is performed to get sinogram of the template images, kV-CT images and metal region images. Artifact images can be reconstructed through those sonograms. Corrected images is generated by subtracting the artifact images from the original kV-CT images. After the first correction, the template images are generated again and brought into the previous step for iteration to get better correction result. CT data set of 7 patients are used in this study, compared with linear interpolation metal artifact (LIMAR) and normalized metal artifact reduction method, mean relative error of CT value is reduced by 50.5% and 63.3%, noise is reduced by 56.2% and 58.9%. The Identifiability Score of the tooth, upper/lower jaw, tongue, lips, masseter muscle and cavity in the corrected images by the proposed method have significantly improved (P < 0.05) than original images. The artifacts correction method proposed in this paper can effectively remove the metal artifacts in the images and greatly improve the CT value accuracy, especially in the case of multi-metal and complex metal implantation.