Decreased CSTA expression promotes lymphatic metastasis and predicts poor survival in oral squamous cell carcinoma

Wang, Yupu; Wang, Lin; Li, Xing; Qu, Xingzhou; Han, Nannan; Ruan, Min; Zhang, Chenping

doi:10.1016/j.archoralbio.2021.105116

Cited by 7 publications

(11 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…glucose homeostasis (Ramos-Molina et al, 2016), and angiogenesis (Tanaka et al, 2016). In addition, the evidence demonstrated that CSTA and OLR1 might be related to poor OSCC prognosis (Chi et al, 2020;Gao et al, 2021;Wang et al, 2021). The current study is the first in PUBMED to investigate the role of FGFR2, MMP19, PCSK1, RAMP2, and CGB5 in OSCC survival.…”

Section: Significantmentioning

confidence: 79%

“…The results of the current study demonstrated that the seven genes are related to epithelial‐mesenchymal transition (EMT) (Blaydon et al, 2011; Murdocca et al, 2021; Szybowska et al, 2019; Yu et al, 2014), glucose homeostasis (Ramos‐Molina et al, 2016), and angiogenesis (Tanaka et al, 2016). In addition, the evidence demonstrated that CSTA and OLR1 might be related to poor OSCC prognosis (Chi et al, 2020; Gao et al, 2021; Wang et al, 2021). The current study is the first in PUBMED to investigate the role of FGFR2, MMP19, PCSK1, RAMP2 , and CGB5 in OSCC survival.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of potential biomarkers and survival analysis for oral squamous cell carcinoma: A transcriptomic study

et al. 2022

View full text Add to dashboard Cite

ObjectiveOral squamous cell carcinoma (OSCC) is one of the most common neoplasms worldwide. The current study aimed to identify potential biomarkers associated with OSCC survival.Materials and MethodsDifferentially expressed genes (DEGs) in atypical OSCC cases were identified using two public datasets: The Cancer Genome Atlas and the Gene Expression Omnibus database. Receiver operating characteristic (ROC) analysis was performed to identify the cutoff, and the candidate DEGs related to survival. Kaplan–Meier and Cox regression analysis using the categorized genes were employed to identify genes that impact the overall survival in OSCC.ResultsA total of 263 OSCC samples and 105 healthy tissues were used to identify 295 upregulated and 131 downregulated genes expressed only in non‐smokers. ROC analyses identified 25 candidate genes associated with death. Survival analyses demonstrated that the following DEGs, namely CSTA, FGFR2, MMP19, OLR1, PCSK1, RAMP2, and CGB5, are potential OSCC prognostic factors.ConclusionWe found that CSTA, FGFR2, MMP19, OLR1, PCSK1, RAMP2, and CGB5 are associated with a low survival rate in OSCC. However, further studies are needed to validate our findings and facilitate the development of these factors as potential biomarkers for OSCC survival.

show abstract

Section: Significantmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Identification of potential biomarkers and survival analysis for oral squamous cell carcinoma: A transcriptomic study

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Furthermore, KLK5, KLK7, SPRR3, and SPRR2A are currently considered to be genes that can promote tumor growth or survival (15)(16)(17)(18)(19). On the other hand, CSTA can inhibit the proliferation of oral squamous cell carcinoma cells (20). We hypothesize that IMMP1L may target these essential genes in ESCA, hence in uencing tumor progression.…”

Section: Discussionmentioning

confidence: 95%

“…SPRR2A can enhance the invasiveness of cholangiocarcinoma cells (19). However, overexpression of CTSA can inhibit the migration and invasion of oral squamous cell carcinoma cells (20). The role of the remaining differentially expressed hub genes in tumors is still unclear.…”

Section: Bioinformatics Tools Reveal Downstream Pathways and Hub Gene...mentioning

confidence: 99%

Construction of a peptidase gene-based prognostic prediction model for esophageal carcinoma and identification of IMMP1L as a potential tumor biomarker

Jiang

Yang

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

Background Esophageal carcinoma (ESCA) is among the most prevalent malignant tumors worldwide, with a high incidence and fatality rate. However, there are presently few biomarkers connected to early diagnosis and treatment. It is essential to find the ideal biomarkers and construct reliable prognostic models. Methods and Results We identified 60 peptidase genes with differential expression in the ESCA using expression profiling data in The Cancer Genome Atlas (TCGA). Based on these genes, a prognostic risk model for ESCA was constructed by completing lasso regression analysis, ten-fold cross-validation, univariate Cox proportional hazard regression analysis, and multivariate Cox proportional hazard regression analysis. According to Kaplan-Meier survival analyses, the model demonstrated excellent performance on both the TCGA and the GEO datasets. The nomogram established by the peptidase gene and clinical variables also matched the projected and actual patient survival rates. According to the results of multivariate regression analysis, Inner Mitochondrial Membrane Peptidase Subunit 1 (IMMP1L) can be used as an independent prognostic factor for ESCA. We verified the mRNA expression level of IMMP1L in 15 esophageal cancer tissues, 12 of which were significantly increased. And we have identified the hub genes potentially targeted by IMMP1L. Conclusions we constructed and validated a prognostic risk prediction model for ESCA. And it can accurately predict survival in patients by integrating genes and tumor stage. Our results also show that IMMP1L could be used as a prospective biomarker for ESCA. These could help in the early detection and treatment of ESCA, increasing patient survival rates.

show abstract

“…Although SPRR2A is commonly expressed in organs containing squamous epithelia, its expression mode is distinct among different SCCs. Specifically, SPRR2A is upregulated in LUSC [ 44 ], and HNSC [ 45 ], but downregulated in oral SCC [ 46 ], and ESCA [ 47 ]. Furthermore, the expression of SPRR2A is upregulated first, and then decreases with carcinoma progression (higher stage and lymphatic metastasis) in LUSC and HNSC [ 44 , 45 ].…”

Section: Discussionmentioning

confidence: 99%

Single-cell transcriptomic analysis reveals the critical molecular pattern of UV-induced cutaneous squamous cell carcinoma

et al. 2021

View full text Add to dashboard Cite

Cutaneous squamous cell carcinoma (cSCC) is the second most common nonmelanoma skin cancer characterized by high invasiveness, heterogeneity, and mainly occurs in the ultraviolet (UV)-exposed regions of the skin, but its pathogenesis is still unclear. Here, we generated single-cell transcriptome profiles for 350 cells from six primary UV-induced cSCCs, together with matched adjacent skin samples, and three healthy control skin tissues by single-cell RNA-sequencing technology based on Smart-seq2 strategy. A series of bioinformatics analyses and in vitro experiments were used to decipher and validate the critical molecular pattern of cSCC. Results showed that cSCC cells and normal keratinocytes were significantly distinct in gene expression and chromosomal copy number variation. Furthermore, cSCC cells exhibited 18 hallmark pathways of cancer by gene set enrichment analysis. Differential expression analysis demonstrated that many members belonging to S100 gene family, SPRR gene family, and FABP5 were significantly upregulated in cSCC cells. Further experiments confirmed their upregulation and showed that S100A9 or FABP5 knockdown in cSCC cells inhibited their proliferation and migration through NF-κB pathway. Taken together, our data provide a valuable resource for deciphering the molecular pattern in UV-induced cSCC at a single-cell level and suggest that S100A9 and FABP5 may provide novel targets for therapeutic intervention of cSCC in the future.

show abstract

Decreased CSTA expression promotes lymphatic metastasis and predicts poor survival in oral squamous cell carcinoma

Cited by 7 publications

References 33 publications

Identification of potential biomarkers and survival analysis for oral squamous cell carcinoma: A transcriptomic study

Identification of potential biomarkers and survival analysis for oral squamous cell carcinoma: A transcriptomic study

Construction of a peptidase gene-based prognostic prediction model for esophageal carcinoma and identification of IMMP1L as a potential tumor biomarker

Single-cell transcriptomic analysis reveals the critical molecular pattern of UV-induced cutaneous squamous cell carcinoma

Contact Info

Product

Resources

About