Programmed Cell Death-Ligand 1 in Head and Neck Squamous Cell Carcinoma: Molecular Insights, Preclinical and Clinical Data, and Therapies.
Piero Giuseppe MelianteChristian BarbatoFederica ZoccaliMassimo RalliAntonio GrecoMarco de VincentiisAndrea ColizzaCarla PetrellaGiampiero FerragutiAntonio MinniMarco FiorePublished in: International journal of molecular sciences (2022)
Aberrant expression of the programmed cell death protein ligand 1 (PD-L1) constitutes one of the main immune evasion mechanisms of cancer cells. The approval of drugs against the PD-1-PD-L1 axis has given new impetus to the chemo-therapy of many malignancies. We performed a literature review from 1992 to August 2022, summarizing evidence regarding molecular structures, physiological and pathological roles, mechanisms of PD-L1 overexpression, and immunotherapy evasion. Furthermore, we summarized the studies concerning head and neck squamous cell carcinomas (HNSCC) immunotherapy and the prospects for improving the associated outcomes, such as identifying treatment response biomarkers, new pharmacological combinations, and new molecules. PD-L1 overexpression can occur via four mechanisms: genetic modifications; inflammatory signaling; oncogenic pathways; microRNA or protein-level regulation. Four molecular mechanisms of resistance to immunotherapy have been identified: tumor cell adaptation; changes in T-cell function or proliferation; alterations of the tumor microenvironment; alternative immunological checkpoints. Immunotherapy was indeed shown to be superior to traditional chemotherapy in locally advanced/recurrent/metastatic HNSCC treatments.
Keyphrases
- locally advanced
- squamous cell carcinoma
- squamous cell
- transcription factor
- rectal cancer
- cell proliferation
- cell therapy
- neoadjuvant chemotherapy
- binding protein
- poor prognosis
- high resolution
- oxidative stress
- small cell lung cancer
- protein protein
- electronic health record
- photodynamic therapy
- case report
- signaling pathway
- single cell
- type diabetes
- clinical trial
- machine learning
- gene expression
- mesenchymal stem cells
- metabolic syndrome
- big data
- long non coding rna
- study protocol
- insulin resistance
- combination therapy
- bone marrow
- case control
- smoking cessation
- drug induced