Hematologic malignancies,such as lymphoma,myeloma,and myeloid neoplasms,can occur in extramedullary tissues.Traditional histopathological morphology and immunohistochemical staining have lim-itations,including time-consuming specimen processing,prolonged reporting cycles,and relatively low sensi-tivity in cases of limited cell numbers.Flow cytometry offers significant advantages in detecting tissue sam-ples,such as rapid processing,shorter reporting cycles,and high accuracy and sensitivity,making it an effective complement to histopathological and immunohistochemical methods.However,the application of flow cytome-try in tissue sample detection currently lacks standardized protocols for sample collection and preservation,single-cell suspension preparation,antibody panel design for limited samples,data analysis,and result repor-ting.To promote the standardized application of flow cytometry in detecting hematologic tumor cells in tissue samples,the Cell Analysis Professional Committee of the Chinese Society of Biotechnology organized experts to develop the Chinese Expert Consensus on Flow Cytometry for Detecting Hematologic Tumor Cells in Tis-sue Samples(hereinafter referred to as the Consensus).This Consensus elaborates on the technical aspects of flow cytometry for tissue sample detection,covering sample processing,antibody panel design,data analysis,reporting content,and quality management.It particularly emphasizes recommended antibody panels and data analysis methods for flow cytometry when tissue sample cell counts are low.This article aims to interpret the key points of the Consensus to facilitate its better application in clinical practice.

Lymphoma is a highly heterogeneous malignancy characterized by complex molecular regulatory mechanisms that result in significant differences in aggressiveness and prognosis across its subtypes.Gene copy number alteration(CNA)analysis,an emerging technology,has become a pivotal tool in the precision re-search and management of lymphoma.By detecting DNA deletions,amplifications,and chromosomal copy number changes,CNA analysis addresses the limitations of traditional cytogenetic techniques,enhances the ac-curacy of subtype classification,and aids in evaluating tumor heterogeneity and disease progression.This re-view provides a comprehensive summary of CNA detection methods and their applications in lymphoma,with a focus on recent advancements in the field.It offers a comparative analysis of CNA detection techniques and discusses their role in precision diagnosis,subtype classification,monitoring disease progression,predicting therapeutic resistance,and assessing prognosis.Additionally,the review explores the potential applications of CNA analysis in uncovering molecular regulatory mechanisms,optimizing therapeutic strategies,and impro-ving patient survival outcomes.

Objective To explore the patterns of cognitive performance across different clinical states of bipolar disorder(BPD).Methods 8 neuropsychological tests (17 items) which examine attention,verbal learning and memory,visual memory and executive function were given to 30 depressed BPD ,30 manic BPD ,30 remitted BPD and 34 normal controls.The difference of cognitive functions between the four groups were compared using multivariate analysis of variance (MANOVA).Results Acute patients with BPD showed dysfunction in almost all neuropsychological tests compared with controls [ the score of WCST categories of manic BPD,depressed BPD,remired BPD and normal controls was( 1.58 ±0.90),( 1.89± 1.56),(2.44 ± 1.42),(4.90 ± 1.73 ) respective-ly.The score of immediately logical memory was (10.68±3.92),(10.00±3.80) ,(12.11±3.72),(15.80±4.21) respectively] (P<0.05,P<0.01).The remitted patients showed deficits in attention,verbal learning and memory,executive function tasks in relation to controls (P<0.05,P<0.01).Conclusion There were general cognitive deficits in acute patients with BPD,and some of these deficits may persists in remission state.