RESUMEN
BACKGROUND: Six thoracic pathologists reviewed 259 lung neuroendocrine tumours (LNETs) from the lungNENomics project, with 171 of them having associated survival data. This cohort presents a unique opportunity to assess the strengths and limitations of current World Health Organization (WHO) classification criteria and to evaluate the utility of emerging markers. PATIENTS AND METHODS: Patients were diagnosed based on the 2021 WHO criteria, with atypical carcinoids (ACs) defined by the presence of focal necrosis and/or 2-10 mitoses per 2 mm2. We investigated two markers of tumour proliferation: the Ki-67 index and phospho-histone H3 (PHH3) protein expression, quantified by pathologists and automatically via deep learning. Additionally, an unsupervised deep learning algorithm was trained to uncover previously unnoticed morphological features with diagnostic value. RESULTS: The accuracy in distinguishing typical from ACs is hampered by interobserver variability in mitotic counting and the limitations of morphological criteria in identifying aggressive cases. Our study reveals that different Ki-67 cut-offs can categorise LNETs similarly to current WHO criteria. Counting mitoses in PHH3+ areas does not improve diagnosis, while providing a similar prognostic value to the current criteria. With the advantage of being time efficient, automated assessment of these markers leads to similar conclusions. Lastly, state-of-the-art deep learning modelling does not uncover undisclosed morphological features with diagnostic value. CONCLUSIONS: This study suggests that the mitotic criteria can be complemented by manual or automated assessment of Ki-67 or PHH3 protein expression, but these markers do not significantly improve the prognostic value of the current classification, as the AC group remains highly unspecific for aggressive cases. Therefore, we may have exhausted the potential of morphological features in classifying and prognosticating LNETs. Our study suggests that it might be time to shift the research focus towards investigating molecular markers that could contribute to a more clinically relevant morpho-molecular classification.
Asunto(s)
Neoplasias Pulmonares , Tumores Neuroendocrinos , Humanos , Neoplasias Pulmonares/patología , Neoplasias Pulmonares/clasificación , Tumores Neuroendocrinos/patología , Tumores Neuroendocrinos/clasificación , Femenino , Antígeno Ki-67/metabolismo , Masculino , Biomarcadores de Tumor/metabolismo , Persona de Mediana Edad , Organización Mundial de la Salud , Histonas/metabolismo , Anciano , Pronóstico , Aprendizaje ProfundoRESUMEN
INTRODUCTION: Pyoderma gangrenosum (PG) is a rare, mainly dermatological condition, whose unusual and little-known lung involvement presents a diagnostic and therapeutic challenge. CASE REPORT: A 66-year-old man, followed for 6 years for an IgA monoclonal gammopathy of undetermined significance and an initially cutaneous corticosteroid-dependent PG, received a pneumonectomy for a mass suspected of neoplasia, that turns out to be a PG pulmonary localisation. During successive pneumopathies, sometimes dyspneic and excavated, several hypotheses are discussed. Various infectious and immunological explorations, and various antibacterial/fungal or immunosuppressive therapies are conducted, to finally conclude to pulmonary and/or cutaneous recurrences of PG. The outcome at 14 months seems finally favourable with tofacitinib. CONCLUSION: The recognition of cutaneous involvement of PG, which is essential for the diagnosis of its lung involvement, is probably the mirror of its evolution under treatment. Only multidisciplinary confrontation of reported cases will allow the elaboration of diagnostic and therapeutic recommendations.