Characterizing the epithelial-mesenchymal transition status of circulating tumor cells in head and neck squamous cell carcinoma

TMEM252 inhibits epithelial-mesenchymal transition and progression in papillary thyroid carcinoma by regulating Notch1 expression

BACKGROUND

Papillary thyroid carcinoma (PTC) accounts for about 85% of thyroid cancer cases. Transmembrane protein 252 (TMEM252) is a gene encoding a transmembrane protein that has only been reported to be associated with triple-negative breast cancer. Herein, we first elucidated the physiological roles and possible regulatory proteins of TMEM252 in PTC pathogenesis.

METHODS

Quantitative real-time polymerase chain reaction, western blot, and immunohistochemical analyses were utilized to ascertain the relative TMEM252 expression in PTC and surrounding normal tissues. Functional investigations involved CCK-8 viability assay, EdU incorporation assay for proliferation, transwell assays for migration and invasion, and an in vivo tumor development assessment to evaluate the TMEM252-mediated regulation of tumor formation.

RESULTS

Our results first revealed diminished TMEM252 transcript and protein expressions in PTC tissues and cell lines. TMEM252 overexpression suppressed cell proliferation through reducing p53, p21, and p16 expression. Conversely, TMEM252 depletion has opposite effects in PTC cells both in vivo. Additionally, the upregulation of TMEM252 demonstrated cell migration and invasion suppression by impeding the epithelial-mesenchymal transition (EMT) process via inhibition of the Notch pathway. Furthermore, overexpression of TMEM252 suppressed tumor growth in vivo.

CONCLUSION

Our study elucidates that TMEM252 suppresses PTC progression by modulating the Notch pathway. These findings underscore TMEM252 is a potential therapeutic target in managing PTC.

Minimizing false positives for CTC identification

BACKGROUND

Cancer is a leading cause of death worldwide, with metastasis playing a significant role. Circulating Tumour Cells (CTCs) can provide important real-time insights into tumour heterogeneity and clonal evolution, making them an important tool for early diagnosis and patient monitoring. Isolated CTCs are typically identified by immunocytochemistry using positive biomarkers (cytokeratin) and exclusion biomarkers (CD45). However, some white blood cell (WBC) populations can express low levels of CD45 and stain non-specifically for cytokeratin, increasing their risk of misclassification as CTCs. There is a clear need to improve CTC detection and enumeration criteria to unequivocally eliminate interfering WBC populations.

RESULTS

This study showed that, indeed, some granulocyte subpopulations expressed low levels of CD45 and stained non-specifically for cytokeratin, misidentifying them as CTCs. These same cells, however, strongly expressed CD15, allowing them to be identified as WBCs and excluded from CTC classification. Flow cytometry confirmed the specificity of the CD15 antibody for the granulocyte subpopulation. False positives were considerably reduced from 25 % to 0.2 % by double exclusion, combining a CD15 antibody with a highly specific CD45 antibody. Furthermore, complete elimination of potential false positives was achieved using double exclusion in combination with improved selection of cytokeratin antibody. The study emphasises the importance of a robust exclusion criteria and high antibody specificity in CTC immuno-assays for accurate identification of CTC candidates and thorough exclusion of interfering WBC subpopulations.

SIGNIFICANCE

This study demonstrated how misidentifying a granulocyte subpopulation can lead to inaccurate CTC evaluation. However, sensitivity and specificity of CTC identification may be improved by using high-performing antibodies and by including a second exclusion biomarker, in turn, allowing for a more comprehensive clinical application of CTCs.

Feasibility of mass cytometry proteomic characterisation of circulating tumour cells in head and neck squamous cell carcinoma for deep phenotyping

BACKGROUND

Circulating tumour cells (CTCs) are a potential cancer biomarker, but current methods of CTC analysis at single-cell resolution are limited. Here, we describe high-dimensional single-cell mass cytometry proteomic analysis of CTCs in HNSCC.

METHODS

Parsortix microfluidic-enriched CTCs from 14 treatment-naïve HNSCC patients were analysed by mass cytometry analysis using 41 antibodies. Immune cell lineage, epithelial-mesenchymal transition (EMT), stemness, proliferation and immune checkpoint expression was assessed alongside phosphorylation status of multiple signalling proteins. Patient-matched tumour gene expression and CTC EMT profiles were compared. Standard bulk CTC RNAseq was performed as a baseline comparator to assess mass cytometry data.

RESULTS

CTCs were detected in 13/14 patients with CTC counts of 2-24 CTCs/ml blood. Unsupervised clustering separated CTCs into epithelial, early EMT and advanced EMT groups that differed in signalling pathway activation state. Patient-specific CTC cluster patterns separated into immune checkpoint low and high groups. Patient tumour and CTC EMT profiles differed. Mass cytometry outperformed bulk RNAseq to detect CTCs and characterise cell phenotype.

DISCUSSION

We demonstrate mass cytometry allows high-plex proteomic characterisation of CTCs at single-cell resolution and identify common CTC sub-groups with potential for novel biomarker development and immune checkpoint inhibitor treatment stratification.

Protocol for tumor dissociation and fluorescence-activated cell sorting of human head and neck cancers

Tumors originating from the head and neck represent diverse histologies and are comprised of several cell types, including malignant cells, cancer-associated fibroblasts, endothelial cells, and immune cells. In this protocol, we describe a step-by-step approach for the dissociation of fresh human head and neck tumor specimens, followed by isolation of viable single cells using fluorescence-activated cell sorting. Our protocol facilitates the effective downstream use of techniques, including single-cell RNA sequencing and generation of three-dimensional patient-derived organoids. For complete details on the use and execution of this protocol, please refer to Puram et al. (2017)1 and Parikh et al. (2022).2.

Multivalent aptamer nanoscaffold cytosensor for glioma circulating tumor cells during Epithelial-Mesenchymal transition

The key factor that causes glioma invasion and metastasis is circulating tumor cells (CTCs) undergoing epithelial-mesenchymal transition (EMT). Effective analysis of EMT-CTCs can provide an important foundation for early detection and prognosis monitoring of glioma, but the changes in the biomarkers of CTCs in different states of EMT make detection difficult. In this study, we developed a multivalent aptamer nanoscaffold-based electrochemical cytosensor (MAS-cytosensor) to efficiently detect EMT-CTCs. The two chains forming the MAS are composed of a specific aptamer detector, a binding region for DNA self-assembly, and a foothold for interface anchoring. When target CTCs exist, the bisaptamer detector on MAS can sensitively identify CTCs and pull them to the electrode surface, generating electrochemical signals. It has been demonstrated that the MAS-cytosensor can not only detect EMT-CTCs sensitively (detection limit of 6 cells/mL in buffer), but also allows for further downstream analysis after release with high viability. Overall, this cytosensor provides a reliable detection solution for CTCs regardless of their EMT status, and provides an efficient method for in-depth study role of the post-EMT CTCs in clinical application and metastasis mechanisms.

Diagnostic Predictors of Immunotherapy Response in Head and Neck Squamous Cell Carcinoma

Programmed cell death ligand-1 (PD-L1) binds PD-1 on CD⁸⁺ lymphocytes, inhibiting their cytotoxic action. Its aberrant expression by head and neck squamous cell carcinoma (HNSCC) cells leads to immune escape. Pembrolizumab and nivolumab, two humanized monoclonal antibodies against PD-1, have been approved in HNSCC treatment, but ~60% of patients with recurrent or metastatic HNSCC fail to respond to immunotherapy and only 20 to 30% of treated patients have long-term benefits. The purpose of this review is to analyze all the fragmentary evidence present in the literature to identify what future diagnostic markers could be useful for predicting, together with PD-L1 CPS, the response to immunotherapy and its durability. We searched PubMed, Embase, and the Cochrane Register of Controlled Trials and we summarize the evidence collected in this review. We confirmed that PD-L1 CPS is a predictor of response to immunotherapy, but it should be measured across multiple biopsies and repeatedly over time. PD-L2, IFN-γ, EGFR, VEGF, TGF-β, TMB, blood TMB, CD73, TILs, alternative splicing, tumor microenvironment, and some macroscopic and radiological features are promising predictors worthy of further studies. Studies comparing predictors appear to give greater potency to TMB and CXCR9.