The machine learning-based model for lateral lymph node metastasis of thyroid medullary carcinoma improved the prediction ability of occult metastasis.

BACKGROUND: For medullary thyroid carcinoma (MTC) with no positive findings in the lateral neck before surgery, whether prophylactic lateral neck dissection (LND) is needed remains controversial. A better way to predict occult metastasis in the lateral neck is needed. METHODS: From January 2010 to January 2022, patients who were diagnosed with MTC and underwent primary surgery at our hospital were retrospectively reviewed. We collected the patients' baseline characteristics, surgical procedure, and rescored the ultrasound images of the primary lesions using American College of Radiology (ACR) Thyroid Imaging, Reporting and Data System (TI-RADS). Regularized logistic regression, 5-fold cross-validation and decision curve analysis was applied for lateral lymph node metastasis (LLNM) model's development and validation. Then, we tested the predictive ability of the LLNM model for occult LLNM in cN0-1a patients. RESULTS: A total of 218 patients were enrolled. Five baseline characteristics and two TI-RADS features were identified as high-risk factors for LLNM: gender, baseline calcitonin (Ctn), tumor size, multifocality, and central lymph node (CLN) status, as well as TI-RADS margin and level. A LLNM model was developed and showed a good discrimination with 5-fold cross-validation mean area under curve (AUC) = 0.92 ± 0.03 in the test dataset. Among cN0-1a patients, our LLNM model achieved an AUC of 0.91 (95% CI, 0.88-0.94) for predicting occult LLNM, which was significantly higher than the AUCs of baseline Ctn (0.83) and CLN status (0.64). CONCLUSIONS: We developed a LLNM prediction model for MTC using machine learning based on clinical baseline characteristics and TI-RADS. Our model can predict occult LLNM for cN0-1a patients more accurately, then benefit the decision of prophylactic LND.

Combining radiomics with thyroid imaging reporting and data system to predict lateral cervical lymph node metastases in medullary thyroid cancer.

BACKGROUND: Medullary Thyroid Carcinoma (MTC) is a rare type of thyroid cancer. Accurate prediction of lateral cervical lymph node metastases (LCLNM) in MTC patients can help guide surgical decisions and ensure that patients receive the most appropriate and effective surgery. To our knowledge, no studies have been published that use radiomics analysis to forecast LCLNM in MTC patients. The purpose of this study is to develop a radiomics combined with thyroid imaging reporting and data system (TI-RADS) model that can use preoperative thyroid ultrasound images to noninvasively predict the LCLNM status of MTC. METHODS: We retrospectively included 218 MTC patients who were confirmed from postoperative pathology as LCLNM negative (n=111) and positive (n=107). Ultrasound features were selected using the Student's t-test, while radiomics features are first extracted from preoperative thyroid ultrasound images, and then a two-step feature selection approach was used to select features. These features are then used to establish three regularized logistic regression models, namely the TI-RADS model (TM), the radiomics model (RM), and the radiomics-TI-RADS model (RTM), in 5-fold cross-validation to determine the likelihood of the LCLNM. The Delong's test and decision curve analysis (DCA) were used to evaluate and compare the performance of the models. RESULTS: The ultrasound features of margin and TI-RADS level, and a total of 12 selected radiomics features, were significantly different between the LCLNM negative and positive groups (p<0.05). The TM, RM, and RTM yielded an averaged AUC of 0.68±0.05, 0.78±0.06, and 0.82±0.05 in the 5-fold cross-validation dataset, respectively. RM and RTM are statistically better than TM (p<0.05 and p<0.001) according to Delong test. DCA demonstrates that RTM brings more benefit than TM and RM. CONCLUSIONS: We have developed a joint radiomics-based model for noninvasive prediction of the LCLNM in MTC patients solely using preoperative thyroid ultrasound imaging. It has the potential to be used as a complementary tool to help guide treatment decisions for this rare form of thyroid cancer.

Comprehensive analysis of single-cell and bulk RNA-sequencing data identifies B cell marker genes signature that predicts prognosis and analysis of immune checkpoints expression in head and neck squamous cell carcinoma.

Recent studies have shown that B cells and the associated tertiary lymphoid structures (TLS) correlate with the response of patients to immune checkpoint inhibitors (ICIs) and predict overall survival (OS) in cancer patients. We screened 145 B cell marker genes (BCMG) by a comprehensive analysis of single-cell RNA-sequencing (scRNA-seq) data of head and neck squamous cell carcinoma (HNSC) from the Gene Expression Omnibus (GEO) database. The BCMG signature (BCMGS) was established using The Cancer Genome Atlas (TCGA) dataset of HNSC and verified in four independent datasets. The multivariate Cox regression analysis identified the signature as an independent prognostic factor. A prognostic nomogram was constructed with independent prognostic factors using the TCGA dataset. GO and KEGG analysis revealed the underlying signaling pathways related to this signature. Study of immune profiles showed that patients in the low-risk group presented discriminative immune-cell infiltrations. Furthermore, the low-risk group was featured by higher TCR and BCR diversity, which suggested that low-risk patients may be more sensitive to ICIs. Immunohistochemistry was performed, and we found that high expression of FTH1 was significantly correlated with poor OS (P = 0.025). The expression of TIM-3, LAG-3 and PD-1 was positively correlated and associated with better OS in HNSC. However, there was no statistically significant difference between PD-L1, PD-L2, CTLA-4, TIGIT and prognosis. The BCMGS was a promising prognostic biomarker in HNSC, which may help to interpret the responses to immunotherapy and provide a new perspective for future research on the treatment in HNSC.

Application of single-cell RNA sequencing in head and neck squamous cell carcinoma.

Single-cell RNA sequencing has been broadly applied to head and neck squamous cell carcinoma (HNSCC) for characterizing the heterogeneity and genomic mutations of HNSCC benefiting from the advantage of single-cell resolution. We summarized most of the current studies and aimed to explore their research methods and ideas, as well as how to transform them into clinical applications. Through single-cell RNA sequencing, we found the differences in tumor cells' expression programs and differentiation tracks. The studies of immune microenvironment allowed us to distinguish immune cell subpopulations, the extensive expression of immune checkpoints, and the complex crosstalk network between immune cells and non-immune cells. For cancer-associated fibroblasts (CAFs), single-cell RNA sequencing had made an irreplaceable contribution to the exploration of their differentiation status, specific CAFs markers, and the interaction with tumor cells and immune cells. In addition, we demonstrated in detail how single-cell RNA sequencing explored the HNSCC epithelial-to-mesenchymal transition (EMT) model and the mechanism of drug resistance, as well as its clinical value.

Identification of a seven-lncRNAs panel that serves as a prognosis predictor and contributes to the malignant progression of laryngeal squamous cell carcinoma.

Background: Laryngeal squamous cell carcinoma (LSCC) is one of the most frequent head and neck cancers worldwide. Long non-coding RNAs (lncRNAs) play a critical role in tumorigenesis. However, the clinical significance of lncRNAs in LSCC remains largely unknown. Methods: In this study, transcriptome sequencing was performed on 107 LSCC and paired adjacent normal mucosa (ANM) tissues. Furthermore, RNA expression and clinical data of 111 LSCC samples were obtained from The Cancer Genome Atlas (TCGA) database. Bioinformatics analysis were performed to construct a model for predicting the overall survival (OS) of LSCC patients. Moreover, we investigated the roles of lncRNAs in LSCC cells through loss-of-function experiments. Results: A seven-lncRNAs panel including ENSG00000233397, BARX1-DT, LSAMP-AS1, HOXB-AS4, MNX1-AS1, LINC01385, and LINC02893 was identified. The Kaplan-Meier analysis demonstrated that the seven-lncRNAs panel was significantly associated with OS (HR:6.21 [3.27-11.81], p-value<0.0001), disease-specific survival (DSS) (HR:4.34 [1.83-10.26], p-value=0.0008), and progression-free interval (PFI) (HR:3.78 [1.92-7.43], p-value=0.0001). ROC curves showed the seven-lncRNAs panel predicts OS with good specificity and sensitivity. Separately silencing the seven lncRNAs inhibited the proliferation, migration, and invasion capacity of LSCC cells. Conclusion: Collectively, this seven-lncRNAs panel is a promising signature for predicting the prognosis of LSCC patients, and these lncRNAs could serve as potential targets for LSCC treatment.

BEST1 Positive Monocytes in Circulation: Visualize Intratumoral Crosstalk between Cancer Cells and Monocytes.

Head and neck squamous cell carcinomas (HNSCCs) are characterized by an abundance of monocytes and macrophages recruited from the peripheral blood. However, it has not been determined whether these infiltrated cells can be released back into circulation with a tumor-associated neobiosignature. This study reports that Bestrophin1 (BEST1), a component protein of Ca2+ -activated Cl- channels (CaCCs), is highly expressed on classical monocytes in the peripheral blood of HNSCC patients. This is due to monocyte education by tumor cells, in which tumoral VEGF-A upregulates BEST1 expression on monocytes through the MEK-ERK-ELK1 pathway. This leads to improved secretion of IL-6 and IL-8, which promotes tumor cell proliferation. This work also finds that BEST1 facilitates the motility of monocytes, contributing to the migration of these cells back into circulation. These results suggest that the expression of BEST1 on peripheral monocytes may be a potential tool for monitoring tumor progression, and opens up the possibility of searching for cancer biomarkers on monocytes rather than on the tumor or its products.

Integrating DOI in T classification improves the predictive performance of laryngeal cancer staging.

It has been recognized that depth of invasion (DOI) is closely associated with patient survival for most types of cancer. The purpose of this study was to determine the DOI optimal cutoff value and its prognostic value in laryngeal squamous carcinoma (LSCC). Most importantly, we evaluated the prognostic performance of five candidate modified T-classification models in patients with LSCC. LSCC patients from Harbin Medical University Cancer Hospital and Chinese Academy of Medical Sciences Cancer Hospital were divided into training group (n = 412) and validation group (n = 147). The primary outcomes were overall survival (OS) and relapse-free survival (RFS), and the effect of DOI on prognosis was analyzed using a multivariable regression model. We identified the optimal model based on its simplicity, goodness of fit and Harrell's consistency index. Further independent testing was performed on the external validation queue. The nomograms was constructed to predict an individual's OS rate at one, three, and five years. In multivariate analysis, we found significant associations between DOI and OS (Depth of Medium-risk invasion HR, 2.631; P < .001. Depth of high-risk invasion: HR, 5.287; P < .001) and RFS (Depth of high-risk invasion: HR, 1.937; P = .016). Model 4 outperformed the American Joint Committee on Cancer (AJCC) staging system based on a low Akaike information criterion score, improvement in the concordance index, and Kaplan-Meier curves. Inclusion of DOI in the current AJCC staging system can improve the differentiation of T classification in LSCC patients.

Survival and long-term quality-of-life of concurrent chemoradiotherapy versus surgery followed by radiotherapy with or without concurrent chemotherapy for the treatment of resectable stage III/IV hypopharyngeal carcinoma.

OBJECTIVE: We evaluated the utility of concurrent chemoradiotherapy (CCRT) compared to surgery followed by adjuvant radiotherapy (with or without concurrent chemotherapy) (SRT) in terms of improving the life expectancy and quality-of-life (QOL) of patients with stage III/IV hypopharyngeal squamous cell carcinomas (HPSCCs). METHODS: From January 2010 to July 2018, a total of 299 patients with stage III/IV HPSCC who received surgery followed by adjuvant radiotherapy (with or without concurrent chemotherapy) (SRT, n = 111), or concurrent chemoradiotherapy (CCRT, n = 188) in our hospital were included. We measured overall survival (OS) and disease-free survival (DFS). We used the EORTC QLQ-C30, QLQ-H&N35, and Voice handicap index-30 (VHI-30) instruments to assess the long-term QOL. RESULTS: The OS and DFS afforded by SRT were significantly better than those associated with CCRT (p = 0.039; p = 0.048 respectively), especially for stage N2-N3 patients. CCRT patients experienced better speech outcomes. CONCLUSION: For resectable stage III/IV HPSCC patients, appropriate treatment plans should be selected comprehensively considering survival rate, QOL, patient preference and multidisciplinary treatment.

Twist-Net: A multi-modality transfer learning network with the hybrid bilateral encoder for hypopharyngeal cancer segmentation.

Hypopharyngeal cancer (HPC) is a rare disease. Therefore, it is a challenge to automatically segment HPC tumors and metastatic lymph nodes (HPC risk areas) from medical images with the small-scale dataset. Combining low-level details and high-level semantics from feature maps in different scales can improve the accuracy of segmentation. Herein, we propose a Multi-Modality Transfer Learning Network with Hybrid Bilateral Encoder (Twist-Net) for Hypopharyngeal Cancer Segmentation. Specifically, we propose a Bilateral Transition (BT) block and a Bilateral Gather (BG) block to twist (fuse) high-level semantic feature maps and low-level detailed feature maps. We design a block with multi-receptive field extraction capabilities, M Block, to capture multi-scale information. To avoid overfitting caused by the small scale of the dataset, we propose a transfer learning method that can transfer priors experience from large computer vision datasets to multi-modality medical imaging datasets. Compared with other methods, our method outperforms other methods on HPC dataset, achieving the highest Dice of 82.98%. Our method is also superior to other methods on two public medical segmentation datasets, i.e., the CHASE_DB1 dataset and BraTS2018 dataset. On these two datasets, the Dice of our method is 79.83% and 84.87%, respectively. The code is available at: https://github.com/zhongqiu1245/TwistNet.

CCS-Net: Cascade Detection Network With the Convolution Kernel Switch Block and Statistics Optimal Anchors Block in Hypopharyngeal Cancer MRI.

Magnetic resonance imaging (MRI) is a common diagnostic method for hypopharyngeal cancer (HPC). It is a challenge to automatically detect HPC tumors and swollen lymph nodes (HPC risk areas) from MRI slices because of the small size and irregular shape of HPC risk areas. Herein, we propose a cascade detection network with Convolution Kernel Switch (CKS) Block and Statistics Optimal Anchors (SOA) Block in HPC MRI (CCS-Net). CKS Block can adaptively switch standard convolution to deformable convolution in some appropriate layers to detect irregular objects more efficiently without taking up too much computing resources. SOA Block can automatically generate the optimal anchors based on the size distribution of objects. Compared with other methods, our method achieves splendid detection performance and outperforms other methods on the HPC dataset (more than 1800 T2 MRI slices), achieving the highest AP50 of 78.90%. Experiments show that the proposed network can be the basis of a computer aided diagnosis utility that helps achieve faster and more accurate diagnostic decisions for HPC.

Evaluation of serum B7-H3 expression, ultrasound and clinical characteristics to predict the risk of cervical lymph node metastases in papillary thyroid carcinoma by nomogram.

BACKGROUND: Improving the preoperative diagnosis of cervical lymph node metastasis (LNM) will help improve the clinical outcomes of papillary thyroid carcinoma (PTC) patients. B7-H3, as an immune checkpoint of the B7 family, is highly expressed in PTC tissues and related to LNM and prognosis. We aimed to explore the clinical values of serum B7-H3 (sB7-H3) in predicting LNM in PTC by a nomogram prediction model. METHODS: From September 2019 to May 2021, a total of 344 PTC patients with primary surgery in our hospital were enrolled in this research. Enzyme-linked Immunosorbent Assay (ELISA) was used to detect sB7-H3 from the peripheral blood of PTC patients and normal controls. We created a nomogram prediction model in combination with sB7-H3 expression, clinical and ultrasound characteristics to predict LNM in the early stage. RESULTS: Gender (p = 0.001), age (p = 0.015), tumor size (p < 0.001), number of tumors (p = 0.021) and sB7-H3 expression (p = 0.003) were independent risk factors for LNM in PTC. All the factors were included in the nomogram. The area under the curve (AUC) was 73.9% (95% CI, 68.12%-79.69%). CONCLUSION: The nomogram is helpful in assessing the risk of LNM in PTC. sB7-H3 has excellent potential in predicting LNM in patients with PTC as an adjunctive ultrasound tool.

A modified tracheal transection approach for cervical esophageal lesion treatment: A report of 13 cases.

Background: Surgical interventions for tumors in the cervical esophageal region are complicated and laryngeal function is frequently sacrificed. Therefore, we attempted the tracheal transection approach to resect the tumor while preserving laryngeal function. Methods: Three patients with papillary thyroid cancer (PTC), six with cervical esophageal cancer (CEC), and four with CEC mixed with thoracic esophageal cancer (TEC) were enrolled. The esophagus was exposed after the trachea was transected between the second and third tracheal rings. CEC/TEC: Resection of the esophagus or/and a portion of the hypopharynx with acceptable safety margins and repair with free jejunum or tubular stomach. PTC: Suture the small esophageal incision immediately after removing the tumor. The tracheal dissection was repaired with interrupted sutures throughout the entire layer after the esophageal lesion was resected. The status of the recurrent laryngeal nerve (RLN) determined whether a tracheotomy was necessary. Results: All 13 patients had effective esophageal lesion excision, with six of them requiring intraoperative tracheotomy. Postoperative complications included a tracheoesophageal fistula (one case, 7.7%), postoperative RLN paralysis (two cases, 15.4%), and aspiration (three cases, 23.1%). Except for two patients with distant metastases, there was no recurrence in the remaining patients after 5-92 months of follow-up. Conclusion: The tracheal transection approach, as a new surgical technique, can retain laryngeal function while ensuring appropriate exposure and satisfactory surgical resection. Before surgery, the feasibility of this approach must be carefully assessed. The RLN should be protected during the procedure. The operation is both safe and effective, with a wide range of applications.

A nomogram to predict lateral lymph node metastases in lateral neck in patients with medullary thyroid cancer.

Background: Medullary thyroid cancer (MTC) can only be cured by surgery, but the management of lateral lymph nodes is controversial, especially for patients with cN0+cN1a. To address this challenge, we developed a multivariate logistic regression model to predict lateral lymph node metastases (LNM). Methods: We retrospectively collected clinical data from 124 consecutive MTC patients who underwent initial surgery at our institution. The data of 82 patients (from 2010 to 2018) and 42 patients (from January 2019 to November 2019) were used as the training set for building the model and as the test set for validating the model, respectively. Results: In the training group, the multivariate analyses indicated that male and MTC patients with higher preoperative basal calcitonin levels were more likely to have lateral LNM (P = 0.007 and 0.005, respectively). Multifocal lesions and suspected lateral LNM in preoperative ultrasound (US) were independent risk factors (P = 0.032 and 0.002, respectively). The identified risk factors were incorporated into a multivariate logistic regression model to generate the nomogram, which showed good discrimination (C-index = 0.963, 95% confidence interval [CI]: 0.9286-0.9972). Our model was validated with an excellent result in the test set and even superior to the training set (C-index = 0.964, 95% CI: 0.9121-1.000). Conclusion: Higher preoperative basal calcitonin level, male sex, multifocal lesions, and lateral lymph node involvement suspicion on US are risk factors for lateral LNM. Our model and nomogram will objectively and accurately predict lateral LNM in patients with MTC.

Complications and oncological outcomes after salvage surgery for recurrent and residual hypopharyngeal squamous cell carcinoma: a retrospective cohort study.

Background: Salvage surgery for hypopharyngeal squamous cell carcinoma (HPSCC) after radiotherapy may result in several postoperative complications and the oncological outcome is unsatisfying. Therefore, identifying the risk factors for postoperative complications and oncological outcome after salvage surgery is important. This study aimed to determine which HPSCC patients might benefit from salvage surgery following previous radiotherapy. Methods: We retrospectively analyzed 91 HPSCC patients who underwent salvage surgery due to locoregional recurrence/residual disease after radiotherapy. The pre- and intraoperative characteristics with complications and oncological outcomes were collected through medical records and telephone follow-up. Risk factors for complications were analyzed by binary logistic regression. The oncological outcomes were assessed by overall survival (OS) after salvage surgery. Kaplan-Meier curves and Cox proportional hazard regression analysis were used for univariate and multivariate survival analyses. Results: Postoperative complications occurred in 40.7% of patients, with pharyngo-cutaneous fistula (PCF) occurring in 29.7% of patients. Salvage surgery for local disease was the only independent risk factor for postoperative complications and PCF [complications: odds ratio (OR) =5.298, 95% confidence interval (CI): 1.163-24.130, P=0.031; PCF: OR =4.543, 95% CI: 1.187-17.387, P=0.027). In the subgroup of patients with local disease, time of curative treatment initiation >90 days (OR =7.331, 95% CI: 1.278-42.054, P=0.025) and preoperative hemoglobin <118 g/L (OR =10.101, 95% CI: 1.026-99.492, P=0.045) were independent risk factors for postoperative complications, while free flap reconstruction was an independent protective factor for PCF (OR =0.099, 95% CI: 0.010-0.934, P=0.043). The median OS time was 17 months, with 5-year OS rates of 30%. Age at salvage surgery <50 years [hazard ratio (HR) =2.047, 95% CI: 1.217-3.443, P=0.007] and recurrence or retreatment clinical T stage 3-4 (rcT3-4) (HR =2.051, 95% CI: 1.219-3.450, P=0.007) were identified as risk factors for OS. The 5-year OS rates of patients without and with both risk factors were 43% and 10% (P=0.001). Conclusions: Salvage surgery for locoregional recurrence/residual disease after previous radiotherapy could improve survival in selected patients with HPSCC. Patients with local recurrence/residual disease had a higher complication rate. Efforts can be made to shorten the time of curative treatment initiation and treat anemia to reduce the risk of postoperative complications in this subgroup.

The clinicopathological significance of PD-L1 expression assessed by the combined positive score (CPS) in head and neck squamous cell carcinoma.

The expression of programmed cell death-ligand 1 (PD-L1) is being used as a predictive biomarker for immunotherapy in head and neck squamous cell carcinoma (HNSCC). Our study was a retrospective cohort that assessed PD-L1 expression levels through immunohistochemistry (IHC) in 119 surgical specimens from HNSCC patients. The expression of PD-L1 was evaluated by IHC staining using the monoclonal antibody 22C3 (Dako) and the combined positive score (CPS). The relationship between the PD-L1 expression and clinicopathologic features was analyzed. 107 cases (89.9%) and 52 cases (43.7%) were positive for PD-L1 expression when the CPS cutoff value was set at 1 and 20 respectively. The tumor stage (P = 0.022) and tumor site (P = 0.004) were significantly correlated with the PD-L1 expression (CPS ≥ 1). Non-diabetic patients (P = 0.046) were corelated to positive PD-L1 expression (CPS ≥ 20). When evaluating PD-L1 expression in 40 laryngeal squamous cell carcinomas (LSC), the nodal stage was found to be significantly associated with high expression of PD-L1 (CPS ≥ 20) (P = 0.042). As for 36 patients with hypopharyngeal squamous cell carcinomas (HPSC), the positive PD-L1 expression (CPS ≥ 1) were typically younger (P = 0.030) and patients without type II diabetes (P = 0.040). We evaluated all possible clinical prognostic factors in the univariate Cox model, and there was no significant correlation between clinical characteristics and survival. The results of our findings may help to understand the association between the PD-L1 expression and clinicopathological characteristics, and it showed no significant correlation between the expression of PD-L1 and OS in HNSCC.

Application of the Milan System for Reporting Salivary Gland Cytopathology: A systematic review and meta-analysis.

BACKGROUND: The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) is a standard, evidence-based classification system for salivary gland fine-needle aspiration (SG-FNA). Since it was published in 2018, many researchers across the world have applied this uniform reporting system to their cohorts. METHODS: The authors comprehensively reviewed cohort studies conducted since publication of the MSRSGC and performed a meta-analysis. The risk of neoplasm and the risk of malignancy (ROM) were calculated for each diagnostic category, and their diagnostic efficacy was evaluated. RESULTS: Thirty-five studies were included in the meta-analysis. The total number of SG-FNAs was 10,706, and 7168 of those had histopathologic follow-up. The ROM for each category was: nondiagnostic, 11.4%; nonneoplastic, 10.9%; atypia of undetermined significance, 30.5%; neoplasm-benign, 2.8%; neoplasm-salivary gland neoplasm of uncertain malignant potential, 37.7%; suspicious for malignancy, 83.8%; and malignant, 97.7%. Low-level heterogeneity was observed in ROM estimation. The sensitivity, specificity, and diagnostic odds ratio for differentiating malignant and benign lesions were 88.0%, 98.5% and 520.3, respectively. CONCLUSIONS: The reporting of SG-FNA using the MSRSGC demonstrated high diagnostic accuracy. The ROM for each category was generally concordant with the recommendations, except for the suspicious for malignancy category, which was significantly higher than the reference value. The tiered, standardized classification system would benefit the clinical management of salivary gland lesions.

Clinical Significance of the Expression of Co-Stimulatory Molecule B7-H3 in Papillary Thyroid Carcinoma.

Background: B7-H3, also known as CD276, an important immune checkpoint member of the B7-CD28 family, is confirmed as a promising target after PD-L1 in clinical trials. Although the overexpression of B7-H3 has been associated with invasive metastatic potential and poor prognosis in multiple types of cancer, nothing is known regarding the expression profiles of B7-H3 in papillary thyroid carcinoma (PTC). In this study, we carried out a large-scale analysis of B7-H3 expression in PTC patients and evaluated the potential clinical significance of B7-H3. Methods: In total, data from 1,210 samples, including 867 cases from TCGA and four GEO datasets, were collected for B7-H3-related transcriptome analyses, and 343 postoperative, whole-tumor sections were collected from patients with PTC at our institute for B7-H3-specific immunohistochemistry (IHC) staining. The statistical analysis was primarily accomplished using the R project for statistical computing. Results: B7-H3 positivity was found in 84.8% of PTC patients (291/343), and the mRNA and protein expression levels of B7-H3 in PTC were markedly higher than those of para-tumor tissues (p < 0.001), demonstrating that B7-H3 can serve as a potential diagnostic biomarker for PTC. The significant upregulation of B7-H3 in PTC is caused by distinct patterns of CNVs and CpG DNA methylation. Functional enrichment analysis confirmed that high B7-H3 expression was significantly associated with specific immune features and angiogenesis. High B7-H3 protein expression was associated with tumor size (p = 0.022), extrathyroidal extension (ETE) (p = 0.003), and lymph node metastasis (LNM) (p < 0.001). More importantly, multivariate analysis confirmed that B7-H3 was an independent predictor of relapse-free survival (RFS) (p < 0.05). In the subgroup analysis, positive B7-H3 staining was associated with worse RFS in patients with primary tumor size ≥2 cm (p < 0.05), age ≥55 years (p < 0.05), LNM (p = 0.07), multifocality (p < 0.05), and ETE (p < 0.05). In addition, Circos plots indicated that B7-H3 was significantly associated with other immune checkpoints in the B7-CD28 family. Conclusion: This is the first comprehensive study to elucidate the expression profile of B7-H3 in PTC. Our observations revealed that B7-H3 is a novel independent biomarker for predicting LNM and disease recurrence for PTC patients, and it thus may serve as an indicator that could be used to improve risk-adapted therapeutic strategies and a novel target for immunotherapy strategies for patients who undergo an aggressive disease course.

Assessment of immune status of laryngeal squamous cell carcinoma can predict prognosis and guide treatment.

BACKGROUND: In the past few years, immunotherapy has changed the way we treat solid tumors. People pay more and more attention to the immune microenvironment of laryngeal squamous cell carcinoma (LSCC). In this study, our immunotherapy research took advantage of the clinical database and focused our in-depth analysis on the tumor microenvironment (TME). METHODS: This study evaluated the relationship between the clinical outcome and the local tissue and overall immune status in 412 patients with primary LSCC. We constructed and validated a risk model that could predict prognosis, assess immune status, identify high-risk patients, and develop personalized treatment plans through bioinformatics. In addition, through immunohistochemical analysis, we verified the differential expression of CTSL and KDM5D genes with the largest weight coefficients in the model in LSCC tissues and their influence on the prognosis and tumor-infiltrating lymphocytes (TILs). RESULTS: We found that interstitial tumor-infiltrating lymphocytes, tumor parenchymal-infiltrating lymphocyte volume, tumor infiltrates lymphocytes of frontier invasion, and the platelet-to-lymphocyte ratio (PLR) were independent factors affecting the prognosis of patients with LSCC. A novel risk model can guide clinicians to accurately predict prognosis, identify high-risk patients, and formulate personalized treatment plans. The differential expression of genes such as CTSL and KDM5D has a significant correlation with the TILs of LSCC and the prognosis of patients. CONCLUSION: Local and systemic inflammatory markers in patients with laryngeal squamous cell carcinoma are reliable prognostic factors. The risk model and CTSL, KDM5D gene have important potential research value.