Overview of the 2022 WHO Classification of Pituitary Adenomas/Pituitary Neuroendocrine Tumors:Clinical Practices,Controversies,and Perspectives

The latest edition of the WHO classification of the central nervous system was published in 2021.This review summarizes the major revisions to the classification of anterior pituitary tumors.The most important revision involves preferring the terminology of pituitary neuroendocrine tumor(PitNET),even though the terminology of pituitary adenoma(PA)still can be used according to this WHO classification compared to the previous one.Moreover,immunohistochemistry(IHC)examination of pituitary-specific transcription factors(TFs),including PIT1,TPIT,SF-1,GATA2/3,and ERα,is endorsed to determine the tumor cell lineage and to facilitate the classification of PitNET/PA subgroups.However,TF-negative IHC staining indicates PitNET/PA with no distinct cell lineages,which includes unclassified plurihormonal(PH)tumors and null cell(NC)tumors in this edition.The new WHO classification of PitNET/PA has incorporated tremendous advances in the understanding of the cytogenesis and pathogenesis of pituitary tumors.However,due to the shortcomings of the technology used in the diagnosis of PitNET/PA and the limited understanding of the tumorigenesis of PitNET/PA,the application of this new classification system in practice should be further evaluated and validated.Besides providing information for deciding the follow-up plans and adjunctive treatment after surgery,this classification system offers no additional help for neurosurgeons in clinical practice,especially in determining the treatment strategies.Therefore,it is necessary for neurosurgeons to establish a comprehensive pituitary classification system for PitNET/PA that incorporates neuroimaging grading data or direct observation of invasiveness during operation or the predictor of prognosis,as well as pathological diagnosis,thereby distinguishing the invasiveness of the tumor and facilitating neurosurgeons to decide on the treatment strategies and follow-up plans as well as adjunctive treatment after surgery.

Prognostic value of modified Lauren classification in gastric cancer

BACKGROUND It remains controversial as to which pathological classification is most valuable in predicting the overall survival(OS)of patients with gastric cancer(GC).AIM To assess the prognostic performances of three pathological classifications in GC and develop a novel prognostic nomogram for individually predicting OS.METHODS Patients were identified from the Surveillance,Epidemiology,and End Results program.Univariate and multivariate analyses were performed to identify the independent prognostic factors.Model discrimination and model fitting were evaluated by receiver operating characteristic curves and Akaike information criteria.Decision curve analysis was performed to assess clinical usefulness.The independent prognostic factors identified by multivariate analysis were further applied to develop a novel prognostic nomogram.RESULTS A total of 2718 eligible GC patients were identified.The modified Lauren classification was identified as one of the independent prognostic factors for OS.It showed superior model discriminative ability and model-fitting performance over the other pathological classifications,and similar results were obtained in various patient settings.In addition,it showed superior net benefits over the Lauren classification and tumor differentiation grade in predicting 3-and 5-year OS.A novel prognostic nomogram incorporating the modified Lauren classification showed superior model discriminative ability,model-fitting performance,and net benefits over the American Joint Committee on Cancer 8th edition tumor-nodemetastasis classification.CONCLUSION The modified Lauren classification shows superior net benefits over the Lauren classification and tumor differentiation grade in predicting OS.A novel prognostic nomogram incorporating the modified Lauren classification shows good model discriminative ability,model-fitting performance,and net benefits.

A new prognostic histopathologic classification of nasopharyngeal carcinoma

Background:The current World Health Organization(WHO) classification of nasopharyngeal carcinoma(NPC) con?veys little prognostic information.This study aimed to propose an NPC histopathologic classification that can poten?tially be used to predict prognosis and treatment response.Methods:We initially developed a histopathologic classification based on the morphologic traits and cell differentia?tion of tumors of 2716 NPC patients who were identified at Sun Yat?sen University Cancer Center(SYSUCC)(training cohort).Then,the proposed classification was applied to 1702 patients(retrospective validation cohort) from hospitals outside SYSUCC and 1613 patients(prospective validation cohort) from SYSUCC.The efficacy of radiochemotherapy and radiotherapy modalities was compared between the proposed subtypes.We used Cox proportional hazards models to estimate hazard ratios(HRs) with 95% confidence intervals(CI) for overall survival(OS).Results:The 5?year OS rates for all NPC patients who were diagnosed with epithelial carcinoma(EC;3708 patients),mixed sarcomatoid?epithelial carcinoma(MSEC;1247 patients),sarcomatoid carcinoma(SC;823 patients),and squamous cell carcinoma(SCC;253 patients) were 79.4%,70.5%,59.6%,and 42.6%,respectively(P < 0.001).In mul?tivariate models,patients with MSEC had a shorter OS than patients with EC(HR = 1.44,95% CI = 1.27–1.62),SC(HR = 2.00,95% CI = 1.76–2.28),or SCC(HR = 4.23,95% CI = 3.34–5.38).Radiochemotherapy significantly improved survival compared with radiotherapy alone for patients with EC(HR 49–0.75),and possibly for those with SCC(HR = 0.67,95% CI = 0.56–0.80),MSEC(HR = 0.58,95% CI = 0..74–1.28).= 0.63;95% CI = 0.40–0.98),but not for patients with SC(HR = 0.97,95% CI = 0Conclusions:The proposed classification offers more information for the prediction of NPC prognosis compared with the WHO classification and might be a valuable tool to guide treatment decisions for subtypes that are associ?ated with a poor prognosis.