The Relevance of Additional Immunohistochemical Markers on the Differential Diagnosis of Small B-Cell Lymphomas: A Case-control Study

Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma

BACKGROUND

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is crucial for developing personalized therapies.

METHODS

This study utilized multiple omics technologies including single-cell transcriptomics (n = 5), bulk transcriptomics (n = 966), spatial transcriptomics (n = 10), immunohistochemistry (n = 34), multiple immunofluorescence (n = 20) and to elucidate the metabolic features of highly malignant DLBCL cells and tumor-associated macrophages (TAMs), along with their associated tumor microenvironment. Metabolic pathway analysis facilitated by scMetabolism, and integrated analysis via hdWGCNA, identified glycolysis genes correlating with malignancy, and the prognostic value of glycolysis genes (STMN1, ENO1, PKM, and CDK1) and TAMs were verified.

RESULTS

High-glycolysis malignant DLBCL tissues exhibited an immunosuppressive microenvironment characterized by abundant IFN_TAMs (CD68+CXCL10+PD-L1+) and diminished CD8+ T cell infiltration. Glycolysis genes were positively correlated with malignancy degree. IFN_TAMs exhibited high glycolysis activity and closely communicating with high-malignancy DLBCL cells identified within datasets. The glycolysis score, evaluated by seven genes, emerged as an independent prognostic factor (HR = 1.796, 95% CI: 1.077-2.995, p = 0.025 and HR = 2.631, 95% CI: 1.207-5.735, p = 0.015) along with IFN_TAMs were positively correlated with poor survival (p < 0.05) in DLBCL. Immunohistochemical validation of glycolysis markers (STMN1, ENO1, PKM, and CDK1) and multiple immunofluorescence validation of IFN_TAMs underscored their prognostic value (p < 0.05) in DLBCL.

CONCLUSIONS

This study underscores the significance of glycolysis in tumor progression and modulation of the immune microenvironment. The identified glycolysis genes and IFN_TAMs represent potential prognostic markers and therapeutic targets in DLBCL.

MNDA expression and its value in differential diagnosis of B-cell non-Hodgkin lymphomas: a comprehensive analysis of a large series of 1293 cases

AIMS

MNDA (myeloid nuclear differentiation antigen) has been considered as a potential diagnostic marker for marginal zone lymphoma (MZL), but its utility in distinguishing MZL from other B-cell non-Hodgkin lymphomas (B-NHLs) and its clinicopathologic relevance in diffuse large B-cell lymphoma (DLBCL) are ambiguous. We comprehensively investigated MNDA expression in a large series of B-NHLs and evaluated its diagnostic value.

METHODS

MNDA expression in a cohort of 1293 cases of B-NHLs and 338  cases of reactive lymphoid hyperplasia (RLH) was determined using immunohistochemistry and compared among different types of B-NHL. The clinicopathologic relevance of MNDA in DLBCL was investigated.

RESULTS

MNDA was highly expressed in MZLs (437/663, 65.9%), compared with the confined staining in marginal zone B-cells in RLH; whereas neoplastic cells with plasmacytic differentiation lost MNDA expression. MNDA expression was significantly higher in mantle cell lymphoma (MCL, 79.6%, p = 0.006), whereas lower in chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL, 44.8%, p = 0.001) and lymphoplasmacytic lymphoma (LPL, 25%, p = 0.016), and dramatically lower in follicular lymphoma (FL, 5.2%, p < 0.001), compared with MZL. 29.6% (63/213) of DLBCLs were positive for MNDA. The cases in non-GCB group exhibited a higher rate of MNDA positivity (39.8%) compared to those in GCB group (16.3%) (p < 0.001), and MNDA staining was more frequently observed in DLBCLs with BCL2/MYC double-expression (50%) than those without BCL2/MYC double-expression (24.8%) (p = 0.001). Furthermore, there was a significant correlation between MNDA and CD5 expression in DLBCL (p = 0.036).

CONCLUSIONS

MNDA was highly expressed in MZL with a potential utility in differential diagnosis between MZL and RLH as well as FL, whereas its value in distinguishing MZL from MCL, CLL/SLL is limited. In addition, MNDA expression in DLBCL was more frequently seen in the non-GCB group and the BCL2/MYC double-expression group, and demonstrated a correlation with CD5, which deserves further investigation. The clinical relevance of MNDA and its correlation with the prognosis of these lymphomas also warrant to be fully elucidated.

Updates in Immunohistochemistry for Hematopoietic and Lymphoid Neoplasms

CONTEXT.—

In their 2014 article "New Immunohistochemistry for B-cell Lymphoma and Hodgkin Lymphoma," Zhang and Aguilera reviewed new immunohistochemical markers for B-cell lymphoma and Hodgkin lymphoma and described how to use these markers for correct lymphoma diagnoses, using the 2008 World Health Organization classifications. Recently, the World Health Organization's WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues published 2022 updates, and, in quick sequence, a second group published an alternative International Consensus Classification of myeloid neoplasms, acute leukemias, and mature lymphoid neoplasms. Regardless of the system a hematopathologist chooses to follow, updates in the immunohistochemical diagnosis of disease are described in both publications as well as in the primary literature. In addition to updated classifications, the increasing use of small biopsy samples for the evaluation of lymphadenopathy continues to challenge hematopathology diagnosis and increase the utilization of immunohistochemistry.

OBJECTIVE.—

To review new immunohistochemical markers or new uses of previously known immunohistochemical markers in the evaluation of hematolymphoid neoplasia for the practicing hematopathologist.

DATA SOURCES.—

Data were obtained from a literature review and personal practice experience.

CONCLUSIONS.—

The practicing hematopathologist requires knowledge of the ever-expanding repertoire of immunohistochemistry for the diagnosis and treatment of hematolymphoid neoplasia. New markers presented in this article help to complete our understanding of disease, diagnosis, and management.

Diagnosing Lymphoma on Core Needle Biopsy and the Challenging Role of Immunohistochemistry

Publications and primary literature both describe the latest advancements in immunohistochemical diagnosis of lymphomas. Along with the updated categorizations, the growing reliance on small biopsy samples to assess lymphoma poses a constant difficulty in hematopathology diagnosis and heightens the demand for immunohistochemistry (IHC). This study aimed to provide practicing lymphoma and hematopathologists with an overview of novel immunohistochemical markers and new applications of already established immunohistochemistry markers to be helpful in lymphoma diagnosis, especially in core needle biopsies. The information was sourced from a review of relevant literature and personal experience gained through professional practice. To effectively diagnose and treat hematolymphoid neoplasms, we need to have a comprehensive understanding of the constantly evolving range of immunohistochemistry studies. This article introduced new markers that contribute to our overall knowledge of the disease, diagnosis, and treatment. The addition of these markers might be helpful in supporting the tumor diagnosis on limited sample material obtained from needle biopsies.

STNM1 in human cancers: role, function and potential therapy sensitizer

STMN1 belongs to the stathmin gene family, it encodes a cytoplasmic phosphorylated protein, stathmin1, which is commonly observed in vertebrate cells. STMN1 is a structural microtubule-associated protein (MAP) that binds to microtubule protein dimers rather than microtubules, with each STMN1 binding two microtubule protein dimers and preventing their aggregation, leading to microtubule instability. STMN1 expression is elevated in a number of malignancies, and inhibition of its expression can interfere with tumor cell division. Its expression can change the division of tumor cells, thereby arresting cell growth in the G2/M phase. Moreover, STMN1 expression affects tumor cell sensitivity to anti-microtubule drug analogs, including vincristine and paclitaxel. The research on MAPs is limited, and new insights on the mechanism of STMN1 in different cancers are emerging. The effective application of STMN1 in cancer prognosis and treatment requires further understanding of this protein. Here, we summarize the general characteristics of STMN1 and outline how STMN1 plays a role in cancer development, targeting multiple signaling networks and acting as a downstream target for multiple microRNAs, circRNAs, and lincRNAs. We also summarize recent findings on the function role of STMN1 in tumor resistance and as a therapeutic target for cancer.