Prognosis Of Squamous Cell Carcinoma Research Articles

Molecular analysis of surgical margins with NGS to assess microscopic residual disease in early oral squamous cell carcinomas.

6063 Background: The prognosis of early oral squamous cell carcinomas (OSCC) is strongly correlated with local disease control. However, patients with T1-T2 OSCC operated with clear margins have a 5-year local relapse rate of 10 to 15%. An accurate evaluation of the microscopic residual disease (MRD) is therefore essential. Interestingly, innovative techniques have recently been developed to detect circulating tumor DNA. Methods: A prospective multicenter trial based on patients with T1-T2 OSCC treated surgically with clear margins, was designed to assess the feasibility of a molecular analysis (tetranucleotide instability) of these margins to evaluate a potential MRD while adapting the postoperative strategy (NCT00232960). We, then, evaluate the feasibility of detecting MRD in the margins by identifying specific molecular abnormalities in the primary tumor with Whole Exome Sequencing (WES) and explore them in margins with deep target NGS panel (TGS) and digital PCR (dPCR) for hotspot mutations. Results: 310 patients were included initially with 216 tumor/margins samples available for molecular analysis. After a standard pathologic analysis, all surgical margins were negative.Median follow-up was 58 months [30;83]. Tumor was informative for tetranucleotide instability analysis in 63% of cases. Positive molecular margins were observed in 17.3% of cases, leading to a postoperative treatment (surgery or radiotherapy). In informative tumors, molecularly driven treatment seemed to lower the 5-year local recurrence rate from 14.1% to 6.4% (p=0.15). Among this initial cohort, 108 primary tumors were secondarily screened by WES to find mutations of interest, with an informativity rate of 75%. Positive molecular results (TGS or dPCR), with at least one positive margin, were observed in 19.4% of patients. Then, analyzing retrospectively the oncologic outcomes, we observed a significant benefit for local control at 5 years for patients with TGS-dPCR negative results in all margins compared to pathologic negative margins (91.7% versus 64.1%, p=0.02). Conclusions: To our knowledge, this is the first report of local MRD assessment after surgery using NGS.Molecular analysis of resection margins for early OSCC lead to a better evaluation of MRD and personalized postoperative decision making to improve local control. Clinical trial information: NCT00232960 .

TTCC-2022-01: Niraparib and dostarlimab in locally-advanced head and neck squamous cell carcinoma treated with (chemo) radiotherapy (RADIAN).

TPS6125 Background: The prognosis of locally-advanced head and neck squamous cell carcinoma (LA-HNSCC) remains poor, with a 60% 5-year overall survival (OS) rate despite curative-intent therapies. Treatment intensification strategies with antiPD-(L)1 agents given concurrently to (chemo)radiotherapy (CRT) have failed to improve survival. New radiosensitizing agents such as PARP inhibitors have shown encouraging results in early studies, and are of special interest in cisplatin-unfit patients (pts) (Moutafi et al. 2021). Beyond radiation sensitization, PARP inhibition is predicted to trigger immune responses via STING pathway activation, and synergize with anti-PD-(L)1 agents (Sen T et al., 2019). We hypothesize that niraparib will enhance antitumor immune responses when combined with dostarlimab before and after definitive CRT and will boost RT response ultimately leading to higher disease-free survival (DFS). Methods: Trial design: RADIAN is an investigator-initiated, multi-center, non-randomized two-cohort phase 1b study of niraparib and dostarlimab in LA-HNSCC pts candidates for CRT (cohort A) or RT alone (cohort B – cisplatin unfit). Dostarlimab 500mg is given intravenously 3 weeks(w) before RT and then q/3w starting w4 post-RT for up to 14 cycles. Niraparib 200 or 300mg is given orally once daily 1w after dostarlimab until start of CRT (cohort A) or continuously until last dose of RT (Cohort B) and then continuously in 3w cycles from w4 post-RT for up to a year (14 cycles). Intensity-modulated RT (70 Grays:2Gray/fraction) and high-dose cisplatin are given as per standard-of-care. Study procedures include collection of baseline archival or fresh tumor sample for molecular profiling, PD-L1 expression and immunophenotyping; serial blood samples for circulating tumor (ct) DNA and clinical/endoscopic photographs of the tumor (baseline, pre-niraparib, pre-RT, 12w post-RT, end-of treatment, and at progression). Imaging and follow-up procedures are conducted as per standard-of-care. Key eligibility criteria: untreated, stage III to IVB laryngeal, hypopharyngeal, HPV-negative oropharyngeal SCC (stage III only if HPV-positive), and stage IVB oral cavity SCC as per TNM 8th edition;adequate organ function; no autoimmune disorders; no immunosuppressive therapy. Study objectives: primary objective is to evaluate 1-year disease free survival. Secondary objectives: safety/tolerability including RT delay/completion; locoregional and distant control, event-free survival, OS and ctDNA dynamics correlation with efficacy endpoints. Sample size: 32 evaluable pts for correlative studies are planned for enrollment (16/cohort). It is expected that experimental treatment will provide an increase of efficacy of 0.64 in terms of HR (1-year DFS of 75.9 % in cohort A and 68.2% in cohort B). Study activation: Nov 11th 2023, with 2 pts enrolled as of Feb 6th 2024. Clinical trial information: NCT05784012 .

Laryngeal squamous cell carcinoma (LSCC) prognosis and machine learning insights.

e18058 Background: LSCC has seen a rise in cases and deaths over the past 30 years. Considering the evolving therapeutic options available in the treatment landscape, we evaluated treatment approaches and developed a machine learning (ML) model for patients with LSCC without distant metastasis. Methods: Data from 2000 to 2020 were obtained from the National Cancer Institute Surveillance, Epidemiology, and End Results database with localized/regional stages only, including the glottis (GC), supraglottic (SuGC), and subglottic (SGC). Patients who were not diagnosed based on histology, previous history of cancer or other concurrent malignancies, or unknown data were excluded. T-tests and chi-square tests were used to compare variables, while the Kaplan-Meier estimator, log-rank tests, and Cox regression analysis identified prognostic factors for overall survival (OS) and cancer-specific survival (CSS). We constructed prognostic models using ML algorithms to predict the 5-year survival. Patient records were randomly divided into training (70 %) and validation (30 %) sets. A validation method incorporating the area under the curve (AUC) of the receiver operating characteristic curve was used to validate the accuracy and reliability of the ML models. Results: A total of 68,282 patients were included (43,434 with GC, 24,010 with SuGC, and 838 with SGC). Of the patients, 80.8% were males and 63.5% were over 60 years old and white (n=56,171). The tumors were >2 cm in size (85.1%). The median patient age was 64 years, and the median tumor size was 3.2 cm. Of these patients, 36.5% underwent surgery with local tumor excision in 23.9 % and total laryngectomy in 5.7% of patients. White race, regional stage, large tumor size, and chemotherapy were poor prognostic factors for GC. Asian ethnicity, white race, and total laryngectomy were good prognostic factors for SuGC, whereas male sex and older age were poor prognostic factors. In terms of SCG "Surgery + adjuvant radiotherapy" was associated with better prognosis while regional and white race were associated with poor prognosis. Performance metrics for all ML algorithms are summarized in the Table. The factors that contributed the most to GC were the surgery type, stage, and age. Stage, surgery type, and race for SuGC and age, stage, and surgery type for SGC. Conclusions: ML models showed promising accuracy in predicting prognosis, highlighting the valuable contributions of factors such as surgery type, stage, age, and race. These findings offer insights into personalized treatment decisions and future research directions. [Table: see text]

Elucidating the Role of Let-7d-5p and OLR1 in the Progression and Prognosis of Oral Squamous Cell Carcinoma via FAK/P53 Signaling Axis.

Despite advances in oral squamous cell carcinoma (OSCC) diagnosis and treatment, the five-year survival rate remains low, underscoring the need for improved biomarkers and therapeutic strategies. This study investigated the role of let-7d-5p microRNA (miRNA) and its target gene OLR1 in OSCC, focusing on their implications in tumor progression, metastasis and potential as therapeutic targets. Employing next-generation sequencing and bioinformatic tools, we profiled differentially expressed miRNAs in metastatic OSCC cell lines, identifying let-7d-5p as a key down-regulated miRNA and OLR1 as a novel target of let-7d-5p. We validated this interaction using luciferase reporter assays and studied the biological effects of modulating let-7d-5p and OLR1 expression on OSCC cell proliferation, migration, invasion, and stemness. Additionally, we analyzed clinical data to establish the relevance of OLR1 expression in OSCC prognosis. Our findings revealed let-7d-5p as a potent suppressor of OSCC metastasis, primarily by targeting and down-regulating OLR1. OLR1-silencing reduced OSCC cell invasiveness, migration, and stemness, indicating its prominent role in tumor progression. Mechanistically, let-7d-5p modulates a signaling cascade involving FAK, SRC, PAXILLIN, and p53, influencing cellular apoptosis and chemoresistance. Clinically, elevated OLR1 expression significantly correlates with advanced OSCC stages and poorer survival rates, highlighting its potential as a prognostic marker and therapeutic target. Our study uncovers the significance of the let-7d-5p-OLR1 axis in OSCC pathogenesis, offering novel insights for future therapeutic interventions.

A novel fatty acid metabolism-related signature identifies MUC4 as a novel therapy target for esophageal squamous cell carcinoma

Fatty acid metabolism has been identified as an emerging hallmark of cancer, which was closely associated with cancer prognosis. Whether fatty acid metabolism-related genes (FMGs) signature play a more crucial role in biological behavior of esophageal squamous cell carcinoma (ESCC) prognosis remains unknown. Thus, we aimed to identify a reliable FMGs signature for assisting treatment decisions and prognosis evaluation of ESCC. In the present study, we conducted consensus clustering analysis on 259 publicly available ESCC samples. The clinical information was downloaded from The Cancer Genome Atlas (TCGA, 80 ESCC samples) and Gene Expression Omnibus (GEO) database (GSE53625, 179 ESCC samples). A consensus clustering arithmetic was used to determine the FMGs molecular subtypes, and survival outcomes and immune features were evaluated among the different subtypes. Kaplan–Meier analysis and the receiver operating characteristic (ROC) was applied to evaluate the reliability of the risk model in training cohort, validation cohort and all cohorts. A nomogram to predict patients’ 1-year, 3-year and 5-year survival rate was also studied. Finally, CCK-8 assay, wound healing assay, and transwell assay were implemented to evaluate the inherent mechanisms of FMGs for tumorigenesis in ESCC. Two subtypes were identified by consensus clustering, of which cluster 2 is preferentially associated with poor prognosis, lower immune cell infiltration. A fatty acid (FA) metabolism-related risk model containing eight genes (FZD10, TACSTD2, MUC4, PDLIM1, PRSS12, BAALC, DNAJA2 and ALOX12B) was established. High-risk group patients displayed worse survival, higher stromal, immune and ESTIMATE scores than in the low-risk group. Moreover, a nomogram revealed good predictive ability of clinical outcomes in ESCC patients. The results of qRT-PCR analysis revealed that the MUC4 and BAALC had high expression level, and FZD10, PDLIM1, TACSTD2, ALOX12B had low expression level in ESCC cells. In vitro, silencing MUC4 remarkably inhibited ESCC cell proliferation, invasion and migration. Our study fills the gap of FMGs signature in predicting the prognosis of ESCC patients. These findings revealed that cluster subtypes and risk model of FMGs had effects on survival prediction, and were expected to be the potential promising targets for ESCC.

TMErisk score: A tumor microenvironment-based model for predicting prognosis and immunotherapy in patients with head and neck squamous cell carcinoma

Tumor microenvironment (TME) is closely associated with the progression and prognosis of head and neck squamous cell carcinoma (HNSCC). To investigate potential biomarkers for predicting therapeutic outcomes in HNSCC, we analyzed the immune and stromal status of HNSCC based on the genes associated with TME using the ESTIMATE algorithm. Immune and stromal genes were identified with differential gene expression and weighted gene co-expression network analysis (WGCNA). From these genes, 118 were initially selected through Cox univariate regression and then further input into least absolute shrinkage and selection operator (LASSO) regression analysis. As a result, 11 genes were screened out for the TME-related risk (TMErisk) score model which presented promising overall survival predictive potential. The TMErisk score was negatively associated with immune and stromal scores but positively associated with tumor purity. Individuals with high TMErisk scores exhibited decreased expression of most immune checkpoints and all human leukocyte antigen family genes, and reduced abundance of infiltrating immune cells. Divergent genes were mutated in HNSCC. In both high and low TMErisk score groups, the tumor protein P53 exhibited the highest mutation frequency. A higher TMErisk score was found to be associated with reduced overall survival probability and worse outcomes of immunotherapy. Therefore, the TMErisk score could serve as a valuable model for the outcome prediction of HNSCC in clinic.

TCL1A-expressing B cells are critical for tertiary lymphoid structure formation and the prognosis of oral squamous cell carcinoma

BackgroundOral squamous cell carcinoma (OSCC) is a malignant tumor with a poor prognosis. Traditional treatments have limited effectiveness. Regulation of the immune response represents a promising new approach for OSCC treatment. B cells are among the most abundant immune cells in OSCC. However, the role of B cells in OSCC treatment has not been fully elucidated.MethodsSingle-cell RNA sequencing analysis of 13 tissues and 8 adjacent normal tissues from OSCC patients was performed to explore differences in B-cell gene expression between OSCC tissues and normal tissues. We further investigated the relationship between differentially expressed genes and the immune response to OSCC. We utilized tissue microarray data for 146 OSCC clinical samples and RNA sequencing data of 359 OSCC samples from The Cancer Genome Atlas (TCGA) to investigate the role of T-cell leukemia 1 A (TCL1A) in OSCC prognosis. Multiplex immunohistochemistry (mIHC) was employed to investigate the spatial distribution of TCL1A in OSCC tissues. We then investigated the effect of TCL1A on B-cell proliferation and trogocytosis. Finally, lentiviral transduction was performed to induce TCL1A overexpression in B lymphoblastoid cell lines (BLCLs) to verify the function of TCL1A.ResultsOur findings revealed that TCL1A was predominantly expressed in B cells and was associated with a better prognosis in OSCC patients. Additionally, we found that TCL1A-expressing B cells are located at the periphery of lymphatic follicles and are associated with tertiary lymphoid structures (TLS) formation in OSCC. Mechanistically, upregulation of TCL1A promoted the trogocytosis of B cells on dendritic cells by mediating the upregulation of CR2, thereby improving antigen-presenting ability. Moreover, the upregulation of TCL1A expression promoted the proliferation of B cells.ConclusionThis study revealed the role of B-cell TCL1A expression in TLS formation and its effect on OSCC prognosis. These findings highlight TCL1A as a novel target for OSCC immunotherapy.

Capsaicin enhances cisplatin-induced anti-metastasis of nasopharyngeal carcinoma by inhibiting EMT and ERK signaling via serpin family B member 2.

Cisplatin (DDP)-based combined chemotherapy or concurrent chemoradiotherapy is the mainstay treatment for advanced-stage nasopharyngeal carcinoma (NPC), but needs improvement due to its severe side effects. Capsaicin (CAP) can enhance the anti-tumor activity of cytotoxic drugs. The aim of this study was to investigate the anti-metastasis activity of CAP in combination with DDP in NPC. Herein, CAP and DDP showed synergistic cytotoxic effects on NPC cells. CAP alone and DDP alone inhibited NPC migration and invasion in vitro and in vivo, and the combination of CAP and DDP had the greatest effect. Moreover, CAP upregulated the mRNA and protein expressions of serpin family B member 2 (SERPINB2). Further results showed that both SERPINB2 mRNA and protein expressions were downregulated in NPC cell lines and tissues and SERPINB2 overexpression inhibited NPC migration and invasion in vitro and in vivo, while silencing SERPINB2 acted oppositely. In addition, SERPINB2 was abnormally expressed in head and neck squamous cell carcinoma and other multiple cancers, and downregulation of SERPINB2 predicted poor prognosis in head and neck squamous cell carcinoma according to the Cancer Genome Atlas database. We further found that SERPINB2 overexpression inhibited epithelial-mesenchymal transition (EMT) and the phosphorylated extracellular signal-regulated kinase (p-ERK), and the inhibitory effect was enhanced by CAP and DDP. Altogether, our results suggest that the combined inhibition of CAP and DDP on NPC metastasis may be related to the inhibition of epithelial-mesenchymal transition and ERK signals mediated by SERPINB2, and CAP may help to improve the efficacy of DDP in the treatment of NPC and develop new therapeutic approaches.

Identifying and Validating an Angiogenesis-related Signature for the Prognosis of Head and Neck Squamous Cell Carcinoma.

The present study aimed todevelop a prognostic model for HNSCC treatment on the basis of angiogenesis-related signatures. Head and Neck Squamous Cell Carcinoma (HNSCC) is the most frequent malignancy with poor prognostic outcomes in the head and neck. Angiogenesis plays a critical role in tumorigenesis and is expected to be an effective therapeutic target. The RNA-seq dataset TCGA-HNSCC and the hallmark gene set were used for angiogenesis-related RiskScore model construction. The RNA-seq data was downloaded from The Cancer Genome Atlas (TCGA), and the hallmark gene set was used to measure the angiogenesis score using the GSVA R package. Then, the optimal cutoff point for prognostic classification was calculated by the survminer package, and Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify angiogenesis gene modules . Multi/univariable and Lasso Cox analyses were performed to develop the RiskScore model, and the classifier efficiency was evaluated by the Receiver Operating Characteristic curve (ROC). Furthermore, a nomogram was designed for survival probability prediction, and the immune infiltration and immunotherapy differences among different risk patients were assessed. After calculating the angiogenesis score, we found that this indicator and patients' prognosis were closely correlated, especially when patients with a high angiogenesis score had a poor prognosis. Then, WGCNA identified a blue gene module positively correlated with angiogenesis. Multivariate and Lasso Cox analysis further identified 9 risk model genes for developing a RiskScore, which was used to divide low- and high- -risk groups of patients. Those with a high risk tended to show poor prognosis, immune infiltration, and higher immune escape. Finally, a nomogram was developed to optimize the risk model, and it exhibited excellent short- and long-term survival prediction performance. We constructed a reliable RiskScore model for the prognostic prediction of HNSCC patients, contributing to precise therapeutic intervention of the cancer.

Dickkopf-related protein 1 as a biomarker of local immune status and worse prognosis of Oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is an infiltrative malignancy characterized by a significantly elevated recurrence rate. Dickkopf-related protein 1 (DKK1), which plays an oncogene role in many cancers, acts as an inhibitor of the Wingless protein (Wnt) signaling pathway. Currently, there is a lack of consensus regarding the role of DKK1 in OSCC or its clinical significance. To examine the role and effect of DKK1 in OSCC. The identification of differentially expressed genes (DEGs) in OSCC was conducted by utilizing databases such as The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). A comprehensive analysis of gene expression profile interactions (GEPIA) and Kaplan-Meier curve were conducted to investigate the associations among DEGs, patient survival and prognosis in individuals with OSCC. The biological function of DKK1 in OSCC was investigated by using molecular biology approaches. The expression of DKK1 was found to be upregulated in OSCC tissues at various stages. High levels of DKK1 expression exhibited a positive correlation with the overall survival (OS) and progression-free survival (PFS) rates among OSCC patients. DKK1 knockdown suppressed the proliferation and induced apoptotic response in OSCC cells. Moreover, DKK1 exerted a positive regulatory effect on HMGA2 expression, thereby modulating cell growth and apoptosis in OSCC. The expression of DKK1 was found to be positively correlated with the infiltration of immune cells in patients with OSCC. Additionally, higher levels of CD4 + T cells were associated with improved 5-year survival rates. DKK1 is a prognostic biomarker for patients with OSCC.

MRI-based deep learning and radiomics for prediction of occult cervical lymph node metastasis and prognosis in early-stage oral and oropharyngeal squamous cell carcinoma: a diagnostic study.

The incidence of occult cervical lymph node metastases (OCLNM) is reported to be 20-30% in early-stage oral cancer and oropharyngeal cancer. There is a lack of an accurate diagnostic method to predict occult lymph node metastasis and to help surgeons make precise treatment decisions. To construct and evaluate a preoperative diagnostic method to predict OCLNM in early-stage oral and oropharyngeal squamous cell carcinoma (OC and OP SCC) based on deep learning features (DLFs) and radiomics features. A total of 319 patients diagnosed with early-stage OC or OP SCC were retrospectively enrolled and divided into training, test and external validation sets. Traditional radiomics features and DLFs were extracted from their MRI images. The least absolute shrinkage and selection operator (LASSO) analysis was employed to identify the most valuable features. Prediction models for OCLNM were developed using radiomics features and DLFs. The effectiveness of the models and their clinical applicability were evaluated using the area under the curve (AUC), decision curve analysis (DCA), and survival analysis. Seventeen prediction models were constructed. The Resnet50 deep learning (DL) model based on the combination of radiomics and DL features achieves the optimal performance, with AUC values of 0.928 (95% CI: 0.881-0.975), 0.878 (95% CI: 0.766-0.990), 0.796 (95% CI: 0.666-0.927), and 0.834 (95% CI: 0.721-0.947) in the training, test, external validation set1, and external validation set2, respectively. Moreover, the Resnet50 model has great prediction value of prognosis in patients with early-stage OC and OP SCC. The proposed MRI-based Resnet50 DL model demonstrated high capability in diagnosis of OCLNM and prognosis prediction in the early-stage OC and OP SCC. The Resnet50 model could help refine the clinical diagnosis and treatment of the early-stage OC and OP SCC.

CSChighE-cadherinlow immunohistochemistry panel predicts poor prognosis in oral squamous cell carcinoma

Identifying marker combinations for robust prognostic validation in primary tumour compartments remains challenging. We aimed to assess the prognostic significance of CSC markers (ALDH1, CD44, p75NTR, BMI-1) and E-cadherin biomarkers in OSCC. We analysed 94 primary OSCC and 67 metastatic lymph node samples, including central and invasive tumour fronts (ITF), along with clinicopathological data. We observed an increase in ALDH1+/CD44+/BMI-1- tumour cells in metastatic lesions compared to primary tumours. Multivariate analysis highlighted that elevated p75NTR levels (at ITF) and reduced E-cadherin expression (at the tumour centre) independently predicted metastasis, whilst ALDH1high exhibited independent predictive lower survival at the ITF, surpassing the efficacy of traditional tumour staging. Then, specifically at the ITF, profiles characterized by CSChighE-cadherinlow (ALDH1highp75NTRhighE-cadherinlow) and CSCintermediateE-cadherinlow (ALDH1 or p75NTRhighE-cadherinlow) were significantly associated with worsened overall survival and increased likelihood of metastasis in OSCC patients. In summary, our study revealed diverse tumour cell profiles in OSCC tissues, with varying CSC and E-cadherin marker patterns across primary tumours and metastatic sites. Given the pivotal role of reduced survival rates as an indicator of unfavourable prognosis, the immunohistochemistry profile identified as CSChighE-cadherinlow at the ITF of primary tumours, emerges as a preferred prognostic marker closely linked to adverse outcomes in OSCC.

Assessing survival outcomes of patients with oral tongue squamous cell carcinoma: Focus on age, sex, and stage.

The purpose of this study was to provide further insights into whether age and/or sex are associated with prognosis in oral tongue squamous cell carcinoma. This was a retrospective cohort study utilizing hospital registry data from 2006 to 2016 obtained from the National Cancer Database. Identified patients were divided into various cohorts based on age, sex, and staging. A descriptive analysis was performed using chi-square tests and overall survival rates were estimated using Kaplan-Meier method. A total of 17 642 patients were included in the study. The 5-year overall survival rates were 82.0% (95% CI: 79.8%-84.0%) in younger patients versus 67.5% (95% CI: 66.7%-68.3%, p-value <0.0001) older patients. The median overall survival for females was 143.4 months (95% CI: 133.2-NA) versus 129.8 (95% CI: 125.4-138.7, p-value <0.0001) in males. Our analysis suggests that younger age and female sex are both predictors of improved survival in oral tongue squamous cell carcinoma.

Correlation of Prognostic Nutritional Index and Systemic Immune-Inflammation Index with the Recurrence and Prognosis in Oral Squamous Cell Carcinoma with the Stage of III/IV.

This study aimed to explore the correlation of systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) with the recurrence and prognosis in patients with advanced oral squamous cell carcinoma (OSCC). A total of 298 OSCC patients with the stage of III/IV were finally included in the study. SII = neutrophil count (109/L) × platelet count (109/L)/lymphocyte count (109/L). PNI = serum albumin (g/L) + 5 × total lymphocyte count (109/L). High preoperative SII and low preoperative PNI were independent risk factors for tumor recurrence in OSCC patients of the stage of III/IV. The area under the curves (AUC) for SII was 0.69 (0.63 to 0.76), for PNI was 0.72 (0.67 to 0.78), and for joint model was 0.81 (0.76 to 0.85). Patients with low level of joint model had significantly higher overall survival rate for 5 years follow-up than those with high level. Both preoperative SII and PNI are valuable independent tumor recurrence prediction index in patients with advanced OSCC. Meanwhile, the combination of preoperative SII and PNI is also valuable on OSCC recurrence and prognosis prediction.

Identification of cell cycle-related hub genes HMMR AND CDC25C for prognosis of head and neck squamous cell carcinoma through co-expression network analysis

Identification of cell cycle-related hub genes HMMR AND CDC25C for prognosis of head and neck squamous cell carcinoma through co-expression network analysis

Significance of NKX2-1 as a biomarker for clinical prognosis, immune infiltration, and drug therapy in lung squamous cell carcinoma.

This study was performed to determine the biological processes in which NKX2-1 is involved and thus its role in the development of lung squamous cell carcinoma (LUSC) toward improving the prognosis and treatment of LUSC. Raw RNA sequencing (RNA-seq) data of LUSC from The Cancer Genome Atlas (TCGA) were used in bioinformatics analysis to characterize NKX2-1 expression levels in tumor and normal tissues. Survival analysis of Kaplan-Meier curve, the time-dependent receiver operating characteristic (ROC) curve, and a nomogram were used to analyze the prognosis value of NKX2-1 for LUSC in terms of overall survival (OS) and progression-free survival (PFS). Then, differentially expressed genes (DEGs) were identified, and Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA) were used to clarify the biological mechanisms potentially involved in the development of LUSC. Moreover, the correlation between the NKX2-1 expression level and tumor mutation burden (TMB), tumor microenvironment (TME), and immune cell infiltration revealed that NKX2-1 participates in the development of LUSC. Finally, we studied the effects of NKX2-1 on drug therapy. To validate the protein and gene expression levels of NKX2-1 in LUSC, we employed immunohistochemistry(IHC) datasets, The Gene Expression Omnibus (GEO) database, and qRT-PCR analysis. NKX2-1 expression levels were significantly lower in LUSC than in normal lung tissue. It significantly differed in gender, stage and N classification. The survival analysis revealed that high expression of NKX2-1 had shorter OS and PFS in LUSC. The multivariate Cox regression hazard model showed the NKX2-1 expression as an independent prognostic factor. Then, the nomogram predicted LUSC prognosis. There are 51 upregulated DEGs and 49 downregulated DEGs in the NKX2-1 high-level groups. GO, KEGG and GSEA analysis revealed that DEGs were enriched in cell cycle and DNA replication.The TME results show that NKX2-1 expression was positively associated with mast cells resting, neutrophils, monocytes, T cells CD4 memory resting, and M2 macrophages but negatively associated with M1 macrophages. The TMB correlated negatively with NKX2-1 expression. The pharmacotherapy had great sensitivity in the NKX2-1 low-level group, the immunotherapy is no significant difference in the NKX2-1 low-level and high-level groups. The analysis of GEO data demonstrated concurrence with TCGA results. IHC revealed NKX2-1 protein expression in tumor tissues of both LUAD and LUSC. Meanwhile qRT-PCR analysis indicated a significantly lower NKX2-1 expression level in LUSC compared to LUAD. These qRT-PCR findings were consistent with co-expression analysis of NKX2-1. We conclude that NKX2-1 is a potential biomarker for prognosis and treatment LUSC. A new insights of NKX2-1 in LUSC is still needed further research.

Identification of PANoptosis-related biomarkers and analysis of prognostic values in head and neck squamous cell carcinoma

PANoptosis plays a crucial role in cancer initiation and progression. However, the roles of PANoptosis-related genes (PARGs) in the prognosis and immune landscape of head and neck squamous cell carcinoma (HNSCC) remain unclear. Integrated bioinformatics analyses based on the data of HNSCC patients in the TCGA database were conducted. We extracted 48 PARGs expression profile and then conducted differentially expressed analysis, following building a Cox model to predict the survival of HNSCC patients. Subsequently, the relationships between the risk score, immune landscape, chemo-, and immune-therapy responses were analyzed, respectively. Moreover, we investigated the prognostic value, and further predicted the pathways influenced by PARGs. Finally, we identified the biological function of crucial PARGs. A total of 18 differentially expressed PARGs were identified in HNSCC, and a Cox model including CASP8, FADD, NLRP1, TNF, and ZBP1 was constructed, which showed that the risk score was associated with the prognosis as well as immune infiltration of HNSCC patients, and the risk score could be regarded as an independent biomarker. Additionally, patients with high-risk score might be an indicator of lymph node metastasis and advanced clinical stage. High-risk scores also contributed to the chemotherapy resistance and immune escape of HNSCC patients. In addition, FADD and ZBP1 played a crucial role in various cancer-related pathways, such as the MAPK, WNT, and MTOR signaling pathways. On the other hand, we suggested that FADD facilitated the progression and 5-fluorouracil (5-FU) resistance of HNSCC cells. A signature based on PANoptosis showed great predictive power for lymph node metastasis and advanced stage, suggesting that the risk score might be an independent prognostic biomarker for HNSCC. Meanwhile, FADD, identified as a prognostic biomarker, may represent an effective therapeutic target for HNSCC.

Differences in postoperative prognosis between early-stage lung adenocarcinoma and squamous cell carcinoma.

Although prognosis and treatments differ between small-cell- and nonsmall-cell carcinoma, comparisons of the histological types of NSCLC are uncommon. Thus, we investigated the oncological factors associated with the prognosis of early-stage adenocarcinoma and squamous cell carcinoma. We retrospectively compared the clinicopathological backgrounds and postoperative outcomes of patients diagnosed with pathological stage I-IIA adenocarcinoma and squamous cell carcinoma primary lung cancer completely resected at our department from January 2007 to December 2017. Multivariable Cox regression analysis for overall survival and recurrence-free survival was performed. The median follow-up duration was 55.2months. The cohort consisted of 532 adenocarcinoma and 96 squamous cell carcinoma patients. A significant difference in survival was observed between the two groups, with a 5-year overall survival rate of 90% (95% confidence interval 86-92%) for adenocarcinoma and 77% (95% CI 66-85%) for squamous cell carcinoma (P<0.01) patients. Squamous cell carcinoma patients had worse outcomes compared to adenocarcinoma patients in stage IA disease, but there were no significant differences between the two groups in stage IB or IIA disease. In multivariate analysis, invasion diameter was associated with overall survival in adenocarcinoma (hazard ratio 1.76, 95% confidence interval 1.36-2.28), but there was no such association in squamous cell carcinoma (hazard ratio 0.73, 95% confidence interval 0.45-1.14). The importance of tumor invasion diameter in postoperative outcomes was different between adenocarcinoma and squamous cell carcinoma. Thus, it is important to consider that nonsmall-cell carcinoma may have different prognoses depending on the histological type, even for the same stage.

Association of DOK3 and infiltrated tumor-associated macrophages with risk for the prognosis of Porphyromonas gingivalis-infected oral cancer: a 12-year data analysis of 200 patients from a tertiary teaching hospital, Urumqi, China

BackgroundWhile there is an understanding of the association between the expression of Porphyromonas gingivalis (P. gingivalis) and prognosis of oral squamous cell carcinoma (OSCC), significance specially to address the relevance between different immunohistochemical intensities of P. gingivalis and tumor-associated macrophages (TAMs) in OSCC tissue and related clinicopathologic characteristics has not been well investigated. The present study aimed to investigate the pathological features related to M2-TAM in P. gingivalis-infected OSCC and ascertain its clinical relevance with patients’ prognosis.MethodsA prospective cohort study was designed to comparatively analyze 200 patients from June 2008 to June 2020. Bioinformatics analyses were implemented to identify DOK3 as a key molecule and to appraise immunocyte infiltration using Gene Expression Omnibus and The Cancer Genome Atlas databases. Immunohistochemical evaluation was performed to analyze the association between the expression levels of P. gingivalis, DOK3, and M2-TAM and clinicopathological variables using Fisher’s exact test or Pearson’s chi-square test. Cox analysis was used to calculate hazard ratios (HR) with corresponding 95% confidence interval (CI) for various clinicopathological features. The Kaplan–Meier approach and log-rank test were used to plot the survival curves.ResultsThe expression level of P. gingivalis was positively associated with DOK3 and M2-TAMs expression level (P < 0.001). Parameters, including body mass index, clinical stage, recurrence, tumor differentiation, and P. gingivalis, DOK3, and M2-TAM immunoexpression levels, affected the prognosis of patients with OSCC (all P < 0.05). In addition, P. gingivalis (HR = 1.674, 95%CI 1.216–4.142, P = 0.012), DOK3 (HR = 1.881, 95%CI 1.433–3.457, P = 0.042), and M2-TAM (HR = 1.649, 95%CI 0.824–3.082, P = 0.034) were significantly associated with the 10-year cumulative survival rate.ConclusionsElevated expression of P. gingivalis and DOK3 indicates M2-TAM infiltration and unfavorable prognosis of OSCC, and could be considered as three novel independent risk factors for predicting the prognosis of OSCC.

Identification of ACAA1 and HADHB as potential prognostic biomarkers based on a novel fatty acid oxidation-related gene model in head and neck squamous cell carcinoma: A retrospective study

ObjectivesTo investigate the importance of fatty acid oxidation (FAO)-related genes in predicting the progression and prognosis of head and neck squamous cell carcinoma (HNSCC). MethodsThe FAO-related gene prognostic model was established employing Cox regression analyses, during which accuracy and sensitivity of the gene model were evaluated in The Cancer Genome Atlas (TCGA) internal testing and Gene Expression Omnibus (GEO) external validation cohorts. Ultimately, hub genes were identified among 13 model genes using STRING and Cytoscape, with preliminary validation carried out through immunohistochemistry. ResultsThe model, which comprised 13 genes (ABCD2, ACAA1, ACACB, AKT1, CNR1, CPT1C, CROT, ECHDC2, ETFA, HADHB, IRS2, LONP2, and SLC25A17), was established. On the basis of the median risk score, the two cohorts were grouped into low-and high-risk groups in the subsequent test and validation, and the former exhibited significantly higher survival rates than the latter. Nomograms were established based on prognostic factors, including stage and risk score, and individualized for the prediction of HNSCC patients. Ultimately, immunohistochemical staining showed that ACAA1 and HADHB were significantly under-expressed in HNSCC, with a favorable prognosis associated with low HADHB and high ACAA1. ConclusionsThe gene prognostic model has illustrated promising capability in predicting the prognosis, and ACAA1 and HADHB might serve as potential therapeutic biomarkers for HNSCC patients.