MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1002/cnr2.70539

Медицинская библиотека · Cancer reports (Hoboken, N.J.) · 2026

Clinical Significance of Biomarkers in Oropharyngeal Squamous Cell Carcinoma: Recurrence Prediction and Treatment Response.

Chen Yunxia, Zhang Wenyu, Gao Xiang, Xing Kongling, Ren Yijing, Hu Jinyu, Xie Zhihao, Zhou Ping

СтатьяОбзорПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

Oropharyngeal squamous cell carcinoma (OPSCC) accounts for a substantial proportion of head and neck cancers, with a rising incidence largely driven by human papillomavirus (HPV) infection. Despite advances in multimodal treatment, disease recurrence remains common and limits long-term survival, highlighting the need for reliable biomarkers to guide prognosis and treatment.

METHODS

This review summarizes recent advances in biomarker development in OPSCC across multiple biological domains. We examined molecular biomarkers, including genomic alterations, DNA methylation, and non-coding RNAs; protein biomarkers associated with oncogenic signaling, cell-cycle regulation, apoptosis, inflammation, and angiogenesis; as well as circulating biomarkers such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosome-derived RNA.

RESULTS

Among currently available biomarkers, p16, PD-L1, and circulating HPV DNA demonstrate the strongest clinical applicability, particularly for risk stratification and post-treatment surveillance. Emerging evidence also supports the use of combined biomarker panels to improve prediction of treatment response to radiotherapy, chemotherapy, and immunotherapy. However, many candidate biomarkers show inconsistent performance due to methodological variability, limited sensitivity and specificity, and insufficient prospective validation.

CONCLUSIONS

While several biomarkers show promise in OPSCC, further standardization of detection methods and large-scale prospective studies are required. Integration of multi-omics data with computational approaches, including artificial intelligence, may facilitate the development of robust and clinically actionable predictive models, ultimately enabling more personalized management and earlier detection of recurrence.

Для цитирования: Chen Yunxia, Zhang Wenyu, Gao Xiang, Xing Kongling, Ren Yijing, Hu Jinyu, Xie Zhihao, Zhou Ping. Clinical Significance of Biomarkers in Oropharyngeal Squamous Cell Carcinoma: Recurrence Prediction and Treatment Response.. Cancer reports (Hoboken, N.J.). 2026. DOI: 10.1002/cnr2.70539.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.