Lung fibrosis is uncommon in primary Sjögren's disease: A retrospective analysis of computed tomography features in 77 patients.

PURPOSE: The purpose of this study was to describe lung abnormalities observed on computed tomography (CT) in patients meeting the 2016 American College of Rheumatology/European League Against Rheumatism (EULAR) classification criteria for primary Sjögren's disease (pSD). MATERIALS AND METHODS: All patients with pSD seen between January 2009 and December 2020 in the day care centre of our National Reference Center for rare systemic autoimmune diseases, who had at least one chest CT examination available for review and for whom the cumulative EULAR Sjögren's Syndrome Disease Activity Index (cumESSDAI) could be calculated were retrospectively evaluated. CT examinations were reviewed, together with clinical symptoms and pulmonary functional results. RESULTS: Seventy-seven patients (73 women, four men) with a median age of 51 years at pSD diagnosis (age range: 17-79 years), a median follow-up time of 6 years and a median cumESSDAI of 7 were included. Sixty-six patients (86%) had anti-SSA antibodies. Thirty-three patients (33/77; 43%) had respiratory symptoms, without significant alteration in pulmonary function tests. Forty patients (40/77; 52%) had abnormal lung CT findings of whom almost half of them had no respiratory symptoms. Abnormalities on chest CT were more frequently observed in patients with anti-SSA positivity and a history of lymphoma. Air cysts (28/77; 36%) and mosaic perfusion (35/77; 35%) were the predominant abnormalities, whereas lung fibrosis was observed in five patients (5/77; 6%). CONCLUSION: More than half of patients with pSD have abnormal CT findings, mainly air cysts and mosaic perfusion, indicative of small airways disease, whereas lung fibrosis is rare, observed in less than 10% of such patients.

Prognostic impact of immune microenvironment in laryngeal and pharyngeal squamous cell carcinoma: Immune cell subtypes, immuno-suppressive pathways and clinicopathologic characteristics.

BACKGROUND: Immune system affects prognosis of various malignancies. Anti-immune pathways like PD-L1 and CTLA4 are used by the tumor to overcome immune system and they serve as immunotherapy targets. The immune microenvironment of head-and-neck squamous cell carcinoma (SCCHN) has not been sufficiently studied. PATIENTS AND METHODS: 152 SCCHN were immunohistochemically studied for the expression of CD3, CD8, CD57, CD4, granzyme b, CD20, CD163, S100, PD-L1, CTLA4 and CXCR4. RESULTS: CD3, CD8, CD57 and stromal S100 higher density is a good prognostic factor (p=0.02, 0.01, 0.02, 0.03 respectively). CTLA4 tumor expression is a poor prognostic factor (p=0.05). The rest immune cells do not affect prognosis. CD3 and CD8 density does not correlate with clinicopathological factors or p16/p53 expression, while CD57 and CD4 higher density is associated with the absence of distant metastases (p=0.03 and 0.07, respectively). Higher CD20 and S100 density is associated with lower T stage (p=0.04 and 0.03, respectively). PD-L1 expression is higher in CD3, CD8, and CD163 infiltrated tumors and in histologically more aggressive tumors. Response to neoadjuvant chemotherapy is better in highly CD3 infiltrated tumors and in tumors with less intraepithelial macrophages. CONCLUSION: Rich T-lympocytic and dendritic cell response is a good prognostic factor in SCCHN, whereas tumors expressing CTLA4 show poor prognosis. PDL1 expression does not affect prognosis, but it is expressed in histologically more aggressive tumors and in T-cells rich tumors. Response to induction chemotherapy is better in tumors less infiltrated by macrophages and mostly infiltrated by T cells.

Clinical and Histologic Predictive Factors of Response to Induction Chemotherapy in Head and Neck Squamous Cell Carcinoma.

OBJECTIVES: Induction chemotherapy (IC) is occasionally used in head and neck cancer, leading to less extensive surgery and reduced need for irradiation. Factors predicting the response to IC have not been determined. In this study, we investigated the clinical and histopathologic factors that predict the response to IC. METHODS: Head and neck squamous cell carcinomas from 81 patients were analyzed; clinical factors, histologic parameters, and expression of p16 and p53 were correlated with response to chemotherapy and prognosis. RESULTS: Factors predicting a good response to IC were the nonoropharyngeal localization, a rich lymphocytic tissue response, and a low platelet-to-lymphocyte blood ratio before treatment. Response to IC did not correlate with prognosis, whereas a low neutrophil-to-lymphocyte ratio (NLR), the absence of a desmoplastic reaction, a rich lymphocytic tissue response, and the overexpression of p53 were associated with better prognosis. CONCLUSIONS: Lymphocytic tissue response, NLR, and nonoropharyngeal localization are factors predictive of response to IC.

p16 and p53 expression status in head and neck squamous cell carcinoma: a correlation with histological, histoprognostic and clinical parameters.

Different histopathology and prognosis characterise the human papillomavirus (HPV)-related oropharyngeal tumours, but squamous cell carcinomas (SCC) of other localisations have not been exhaustively studied. Tissues from 120 patients with a head and neck SCC were studied for the expression of p16 and p53, and the Brandwein-Gensler (BG) histological risk assessment model. p16 positivity and p53 normal expression were significantly correlated with non-smoking, an earlier T stage and a non-keratinising morphology. The BG risk score was not associated with p16 or p53 expression; p16 expression was associated with a lymphocytic T-cytotoxic response. BG risk score was significantly correlated with overall survival and progression-free survival, while neither p16 nor p53 expression were associated with prognosis. p16 and p53 expression are associated with the histological subtype and the T stage even in non-oropharyngeal-restricted tumours. The BG risk score is not correlated with p16 or p53 and retains its power in non-site-specific SCCs.