<scp>Anti‐C1GALT1</scp> Autoantibody Is a Novel Prognostic Biomarker for Patients With Head and Neck Cancer

Lin, Mei-Chun; Huang, Min-Chuan; Lou, Pei‐Jen

doi:10.1002/lary.28694

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…Moreover, the 3-year OS rate is around 80% for HPV+ HNSCC and 55% for HPV-HNSCC [36]. Recently, a variety of novel biomarkers such as PITX2 methylation and C1GALT1 autoantibody that forecast prognosis, and B7-H3 that predicts immunotherapeutic prognosis and reaction in HNSCC were identified gradually [37][38][39]. However, the prognostic models and biomarkers need to be updated since more new drugs, including ICP inhibitors, are put into clinical practice.…”

Section: Discussionmentioning

confidence: 99%

Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

GAO¹,

SHI²,

Sun³

et al. 2023

Oncology Research

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Aging is highly associated with tumor formation and progression. However, little research has explored the association of aging-related lncRNAs (ARLs) with the prognosis and tumor immune microenvironment (TIME) of head and neck squamous cell carcinoma (HNSCC). RNA sequences and clinicopathological data of HNSCC patients and normal subjects were downloaded from The Cancer Genome Atlas. In the training group, we used Pearson correlation, univariate Cox regression, least absolute shrinkage/selection operator regression analyses, and multivariate Cox regression to build a prognostic model. In the test group, we evaluated the model. Multivariate Cox regression was done to screen out independent prognostic factors, with which we constructed a nomogram. Afterward, we demonstrated the predictive value of the risk scores based on the model and the nomogram using time-dependent receiver operating characteristics. Gene set enrichment analysis, immune correlation analysis, and half-maximal inhibitory concentration were also performed to reveal the different landscapes of TIME between risk groups and to predict immuno-and chemo-therapeutic responses. The most important LINC00861 in the model was examined in HNE1, CNE1, and CNE2 nasopharyngeal carcinoma cell lines and transfected into the cell lines CNE1 and CNE2 using the LINC00861-pcDNA3.1 construct plasmid. In addition, CCK-8, Edu, and SA-β-gal staining assays were conducted to test the biofunction of LINC00861 in the CNE1 and CNE2 cells. The signature based on nine ARLs has a good predictive value in survival time, immune infiltration, immune checkpoint expression, and sensitivity to multiple drugs. LINC00861 expression in CNE2 was significantly lower than in the HNE1 and CNE1 cells, and LINC00861 overexpression significantly inhibited the proliferation and increased the senescence of nasopharyngeal carcinoma cell lines. This work built and verified a new prognostic model for HNSCC based on ARLs and mapped the immune landscape in HNSCC. LINC00861 is a protective factor for the development of HNSCC.

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Section: Discussionmentioning

confidence: 99%

Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

GAO¹,

SHI²,

Sun³

et al. 2023

Oncology Research

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The Evolving Landscape of B Cells in Cancer Metastasis

Ramos,

Lui,

Hollern

2023

Cancer Research

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Metastasis is the leading cause of cancer mortality. Functional and clinical studies have documented diverse B cell and antibody responses in cancer metastasis. The presence of B cells in tumor microenvironments and metastatic sites has been associated with diverse effects that can promote or inhibit metastasis. Specifically, B cells can contribute to the spread of cancer cells by enhancing tumor cell motility, invasion, angiogenesis, lymphangiogenesis, and extracellular matrix remodeling. Moreover, they can promote metastatic colonization by triggering pathogenic immunoglobulin responses and recruiting immune suppressive cells. Contrastingly, B cells can also exhibit anti-metastatic effects. For example, they aid in enhanced antigen presentation, which helps activate immune responses against cancer cells. Additionally, B cells play a crucial role in preventing the dissemination of metastatic cells from the primary tumor and secrete antibodies that can aid in tumor recognition. Here, we review the complex roles of B cells in metastasis, delineating the heterogeneity of B cell activity and subtypes by metastatic site, antibody class, antigen (if known), and molecular phenotype. These important attributes of B cells emphasize the need for a deeper understanding and characterization of B cell phenotypes to define their effects in metastasis.

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Anti‐C1GALT1 Autoantibody Is a Novel Prognostic Biomarker for Patients With Head and Neck Cancer

Cited by 2 publications

References 33 publications

Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

Identification and verification of aging-related lncRNAs for prognosis prediction and immune microenvironment in patients with head and neck squamous carcinoma

The Evolving Landscape of B Cells in Cancer Metastasis

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