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1.
Front Immunol ; 14: 1156038, 2023.
Article in English | MEDLINE | ID: covidwho-20235794

ABSTRACT

The vulnerability of the oral cavity to SARS-CoV-2 infection is well-known, and cancer patients are at a higher risk of COVID-19, emphasizing the need to prioritize this patient population. Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignant cancers associated with early metastasis and poor prognosis. It has been established that cancerous tissues express Cathepsin L (CTSL), a proteinase that regulates cancer progression and SARS-CoV-2 entry. Therefore, it is essential to evaluate the correlation between disease outcomes and CTSL expression in cancer tissues and predict the susceptibility of cancer patients to SARS-CoV-2. In this study, we used transcriptomic and genomic data to profile CTSL expression in HNSCC and developed a CTSL signature that could reflect the response of HNSCC patients to chemotherapy and immunotherapy. Additionally, we investigated the relationship between CTSL expression and immune cell infiltration and established CTSL as a potential carcinogenic factor for HNSCC patients. These findings could aid in understanding the mechanisms underlying the increased susceptibility of HNSCC patients to SARS-CoV-2 and contribute to the development of therapy for both HNSCC and COVID-19.


Subject(s)
COVID-19 , Head and Neck Neoplasms , Humans , Squamous Cell Carcinoma of Head and Neck , SARS-CoV-2 , Cathepsin L/genetics , Head and Neck Neoplasms/genetics
2.
Front Biosci (Landmark Ed) ; 26(10): 740-751, 2021 10 30.
Article in English | MEDLINE | ID: covidwho-1498507

ABSTRACT

Objectives: To quantify the integrated levels of ACE2 and TMPRSS2, the two well-recognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry-related genes, and to further identify key factors contributing to SARS-CoV-2 susceptibility in head and neck squamous cell carcinoma (HNSC). Methods: We developed a metric of the potential for tissue infected with SARS-CoV-2 ("TPSI") based on ACE2 and TMPRSS2 transcript levels and compared TPSI levels between tumor and matched normal tissues across 11 tumor types. For further analysis of HNSC, weighted gene co-expression network analysis (WGCNA), functional analysis, and single sample gene set enrichment analysis (ssGSEA) were conducted to investigate TPSI-relevant biological processes and their relationship with the immune landscape. TPSI-related factors were identified from clinical and mutational domains, followed by lasso regression to determine their relative effects on TPSI levels. Results: TPSI levels in tumors were generally lower than in the normal tissues. In HNSC, the genes highly associated with TPSI were enriched in viral entry-related processes, and TPSI levels were positively correlated with both eosinophils and T helper 17 (Th17) cell infiltration. Furthermore, the site of onset, human papillomaviruses (HPV) status, and nuclear receptor binding SET domain protein 1 (NSD1) mutations were identified as the most important factors shaping TPSI levels. Conclusions: This study identified the infection risk of SARS-CoV-2 between tumor and normal tissues, and provided evidence for the risk stratification of HNSC.


Subject(s)
Angiotensin-Converting Enzyme 2/genetics , COVID-19/genetics , Carcinoma, Squamous Cell/genetics , Head and Neck Neoplasms/genetics , Serine Endopeptidases/genetics , Angiotensin-Converting Enzyme 2/metabolism , COVID-19/metabolism , COVID-19/virology , Carcinoma, Squamous Cell/metabolism , Carcinoma, Squamous Cell/virology , Gene Expression Profiling/methods , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Head and Neck Neoplasms/metabolism , Head and Neck Neoplasms/virology , Humans , Reverse Transcriptase Polymerase Chain Reaction/methods , SARS-CoV-2/metabolism , SARS-CoV-2/physiology , Serine Endopeptidases/metabolism , Virus Internalization
3.
Ann Diagn Pathol ; 54: 151800, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1321982

ABSTRACT

BACKGROUND: Challenging emerging entities with distinctive molecular signatures may benefit from algorithms for diagnostic work-up. METHODS: Fusion sarcomas (2020-2021, during pandemic) were diagnosed by clinicoradiology, morphology, phenotype, and next-generation sequencing (NGS). RESULTS: Six fusion sarcomas in two males and four females involved the chest-wall, neck, or extremities; ages ranged 2-73, median 18 years. Sizes ranged 5.3-25.0, median 9.1 cm. These include high grade 1) TPR-NTRK1 of proximal femur with a larger rounded soft tissue mass, previously considered osteosarcoma yet without convincing tumor matrix. A pathologic fracture necessitated emergency hemipelvectomy (NED) and 2) novel KANK1-NTRK2 sarcoma of bone and soft tissue with spindled pleomorphic to epithelioid features (AWD metastases). 3) Novel ERC1-ALK unaligned fusion, a low grade infiltrative deep soft tissue hand sarcoma with prominent-vascularity, myopericytoid/lipofibromatosis-like ovoid cells, and collagenized stroma, was successfully treated with ALK-inhibitor (Crizotinib), avoiding amputation. These NTRK and ALK tumors variably express S100 and CD34 and were negative for SOX10. 4) and 5) CIC-DUX4 round cell tumors (rapid metastases/demise), one with COVID superinfection, were previously treated as Ewing sarcoma. These demonstrated mild pleomorphism and necrosis, variable myxoid change and CD99 reactivity, and a distinctive dot-like-Golgi WT1 immunostaining pattern. 6) A chest wall/thoracic round cell sarcoma, focal CD34/ keratins/CK7, revealed nuclear-STAT6, STAT6-NAB2 by NGS, confirming malignant solitary fibrous tumor, intermediate-risk-stratification (AWD metastases). CONCLUSIONS: Recent fusion sarcomas include new KANK1-NTRK2 and ERC1-ALK, the latter successfully treated by targeted-therapy. ALK/NTRK fusion partners TPR and KANK1 suggest unusual high-grade morphology/behavior. Clinicoradiologic, morphologic, and phenotypic algorithms can prompt molecular-targeted immunostains or NGS for final classification and promising inhibitor therapy.


Subject(s)
Biomarkers, Tumor/genetics , Femoral Neoplasms/genetics , Gene Fusion , Head and Neck Neoplasms/genetics , Sarcoma/genetics , Soft Tissue Neoplasms/genetics , Thoracic Neoplasms/genetics , Adolescent , Adult , Aged , Algorithms , Antineoplastic Agents/therapeutic use , Child , Child, Preschool , Extremities/pathology , Female , Femoral Neoplasms/diagnosis , Femoral Neoplasms/drug therapy , Femoral Neoplasms/pathology , Head and Neck Neoplasms/diagnosis , Head and Neck Neoplasms/drug therapy , Head and Neck Neoplasms/pathology , High-Throughput Nucleotide Sequencing , Humans , Male , Middle Aged , Neoplasm Grading , Phenotype , Prognosis , Sarcoma/diagnosis , Sarcoma/drug therapy , Sarcoma/pathology , Soft Tissue Neoplasms/diagnosis , Soft Tissue Neoplasms/drug therapy , Soft Tissue Neoplasms/pathology , Thoracic Neoplasms/diagnosis , Thoracic Neoplasms/drug therapy , Thoracic Neoplasms/pathology , Thoracic Wall/pathology , Young Adult
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