scholarly journals Tumor Microenvironment of Lymphomas and Plasma Cell Neoplasms: Broad Overview and Impact on Evaluation for Immune Based Therapies

2021 ◽  
Vol 11 ◽  
Author(s):  
Sudhir Perincheri
Keyword(s):  
Tumor Microenvironment ◽  
Plasma Cell ◽  
Targeted Therapies ◽  
Hematologic Malignancies ◽  
Diagnostic Techniques ◽  
Molecular Techniques ◽  
Response To Therapy ◽  
Patient Morbidity ◽  
Heterogenous Group ◽  
Plasma Cell Neoplasms

Lymphomas and plasma cell neoplasms are a heterogenous group of malignancies derived from lymphocytes. They are a significant cause of patient morbidity and mortality. Advances in morphologic, immunophenotypic and molecular techniques have led to better understanding of the pathogenesis and diagnosis of these neoplasms. Advances in treatment, particularly immune-based therapies, increasingly allow for targeted therapies of these diseases. Mechanistic studies using animal models and clinical trials have revealed the importance of the tumor microenvironment on disease pathogenesis, progression, and response to therapy in these malignancies. Simultaneous progress in diagnostic techniques has made it feasible to generate high-resolution, high-throughput data from the tumor microenvironment with spatial context. As the armamentarium of targeted therapies and diagnostic techniques grows, there is potential to harness these advances to better stratify patients for targeted therapies, including immune-based therapies, in hematologic malignancies.

scholarly journals IBTK Haploinsufficiency Affects the Tumor Microenvironment of Myc-Driven Lymphoma in E-myc Mice

2020 ◽  
Vol 21 (3) ◽  
pp. 885 ◽  
Author(s):  
Eleonora Vecchio ◽  
Giuseppe Fiume ◽  
Chiara Mignogna ◽  
Enrico Iaccino ◽  
Selena Mimmi ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
B Cell ◽  
Genetic Basis ◽  
Tumor Biology ◽  
Tumor Development ◽  
Hematologic Malignancies ◽  
Response To Therapy ◽  
Allelic Loss ◽  
Murine Models ◽  
Survival And Growth

The tumor microenvironment is a dynamic and interactive supporting network of various components, including blood vessels, cytokines, chemokines, and immune cells, which sustain the tumor cell’s survival and growth. Murine models of lymphoma are useful to study tumor biology, the microenvironment, and mechanisms of response to therapy. Lymphomas are heterogeneous hematologic malignancies, and the complex microenvironment from which they arise and their multifaceted genetic basis represents a challenge for the generation and use of an appropriate murine model. So, it is important to choose the correct methodology. Recently, we supported the first evidence on the pro-oncogenic action of IBTK in Myc-driven B cell lymphomagenesis in mice, inhibiting apoptosis in the pre-cancerous stage. We used the transgenic Eμ-myc mouse model of non-Hodgkin’s lymphoma and Ibtk hemizygous mice to evaluate the tumor development of Myc-driven lymphoma. Here, we report that the allelic loss of Ibtk alters the immunophenotype of Myc-driven B cell lymphomas, increasing the rate of pre-B cells and affecting the tumor microenvironment in Eμ-myc mice. In particular, we observed enhanced tumor angiogenesis, increasing pro-angiogenic and lymphangiogenic factors, such as VEGF, MMP-9, CCL2, and VEGFD, and a significant recruitment of tumor-associated macrophages in lymphomas of Ibtk+/- Eμ-myc compared to Ibtk+/+ Eμ-myc mice. In summary, these results indicate that IBTK haploinsufficiency promotes Myc tumor development by modifying the tumor microenvironment.

scholarly journals Patient Case Studies and Panel Discussion: Plasma Cell Neoplasms

2019 ◽  
Vol 17 (11.5) ◽  
pp. 1437-1440
Keyword(s):  
Multiple Myeloma ◽  
Plasma Cell ◽  
Soft Tissues ◽  
Plasma Cells ◽  
Panel Discussion ◽  
Hematologic Malignancies ◽  
The Body ◽  
Annual Congress ◽  
Plasma Cell Neoplasms ◽  
Evidenced Based

Managing patients with plasma cell neoplasms, diseases in which abnormal plasma cells or myeloma cells form tumors in the bones or soft tissues of the body, poses numerous challenges for clinicians. At the NCCN 2019 Annual Congress: Hematologic Malignancies, a panel of experts discussed evidenced-based approaches for the treatment of patients with these diseases. Moderated by Dr. Andrew D. Zelenetz, the session focused on patients with transplant-ineligible newly diagnosed multiple myeloma, active multiple myeloma, and light chain amyloidosis.

Should CD138 Immunohistochemistry be Standard Recommended Practice for Bone Marrow Evaluation of Plasma Cell Neoplasms?

2020 ◽  
Vol 154 (Supplement_1) ◽  
pp. S110-S110
Author(s):  
A Vijayanarayanan ◽  
K Inamdar ◽  
M Menon ◽  
P Kuriakose
Keyword(s):  
Bone Marrow ◽  
Plasma Cell ◽  
Linear Correlation ◽  
Plasma Cells ◽  
Pearson Correlation ◽  
Protein Electrophoresis ◽  
Pearson Correlation Coefficient ◽  
Cell Percentage ◽  
Significant Linear Correlation ◽  
Plasma Cell Neoplasms

Abstract Introduction/Objective Myeloma diagnosis by a pathologist requires 10% plasma cells (PC) or a biopsy proven plasmacytoma in addition to myeloma defining events. PC% > 60% is a biomarker of malignancy under this definition. WHO allows for assesment of plasma cell percentage either by aspirate count or by CD138 immunohistochemistry (IHC). There is lack of consensus on aspirate smear adequacy for PC% estimation. Uneven distribution of plasma cells, hemodilution and/or patchy infiltration can lead to gross underestimation. We compared PC% by aspirate count and CD138 IHC and established corelation with serum protein electrophoresis (SPEP) values. Methods 67 myeloma cases were included after excluding cases with suboptimal or inadequate aspirate smears. Two hematopathologists evaluated the diagnostic marrow (therapy naive) for PC% by aspirate count and CD138 IHC on biopsy/clot section. Corresponding SPEP and Free light chain (FLC) values were obtained. Correlation coefficent was calculated using Pearson correlation coefficient (GraphPad Prism). Results The Ig subtypes included IgG (41/67) and IgA (17/67). 12 cases had available FLC values. Both average and median PC% by CD138 IHC was considerably higher (50%, 52%) compared to aspirate count (29%, 21%). However, PC% by aspirate smear count and CD138 IHC demonstrated a significant linear correlation (r=0.71, p60% by CD138 (and not by aspirate count). Conclusion CD138 IHC based PC% is consistently higher, nevertheless, statistically significant linear corelation is observed between aspirate count PC% and CD138 IHC. A significant linear correlation is observed between CD138 IHC and SPEP (IgG and IgA), however, no such correlation is observed with aspirate count. More cases were diagnosed as myeloma (11%) and higher propotion of cases (35%) had biomarker of malignancy i.e. PC% >60% by CD138 IHC. Based on these findings, we propose estimation of PC% by CD138 immunostain be a recommended standard practice for better clinicopathologic and biologic correlation.

scholarly journals Plasma Cell Neoplasms in US Solid Organ Transplant Recipients

2013 ◽  
Vol 13 (6) ◽  
pp. 1523-1532 ◽  
Author(s):  
E. A. Engels ◽  
C. A. Clarke ◽  
R. M. Pfeiffer ◽  
C. F. Lynch ◽  
D. D. Weisenburger ◽  
...  
Keyword(s):  
Plasma Cell ◽  
Organ Transplant ◽  
Solid Organ Transplant ◽  
Solid Organ ◽  
Transplant Recipients ◽  
Organ Transplant Recipients ◽  
Plasma Cell Neoplasms ◽  
Solid Organ Transplant Recipients

scholarly journals 83 Spatially resolved transcriptomic and proteomic investigation of breast cancer and its immune microenvironment

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A91-A91
Author(s):  
Jennifer Chew ◽  
Cedric Uytingco ◽  
Rapolas Spalinskas ◽  
Yifeng Yin ◽  
Joe Shuga ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Tumor Microenvironment ◽  
Protein Expression ◽  
Protein Detection ◽  
Response To Therapy ◽  
Pathological Examination ◽  
Multi Drug Resistance ◽  
Spatially Resolved ◽  
Gene And Protein Expression

BackgroundThe tumor microenvironment (TME) is composed of highly heterogeneous extracellular structures and cell types such as endothelial cells, immune cells, and fibroblasts that dynamically influence and communicate with each other. The constant interaction between a tumor and its microenvironment plays a critical role in cancer development and progression and can significantly affect a tumor’s response to therapy and capacity for multi-drug resistance. High resolution analyses of gene and protein expression with spatial context can provide deeper insights into the interactions between tumor cells and surrounding cells within the TME, where a better understanding of the underlying biology can improve treatment efficacy and patient outcomes. Here, we demonstrated the ability to perform streamlined multi-omic tumor analyses by utilizing the 10X Genomics Visium Spatial Gene Expression Solution for FFPE with multiplex protein enablement. This technique simultaneously assesses gene and protein expression to elucidate the immunological profile and microenvironment of different breast cancer samples in conjunction with standard pathological methods.MethodsSerial (5 µm) sections of FFPE human breast cancer samples were placed on Visium Gene Expression (GEX) slides. The Visium GEX slides incorporate ~5,000 molecularly barcoded, spatially encoded capture spots onto which tissue sections are placed, stained, and imaged. Following incubation with a human whole transcriptome, probe-based RNA panel and an immuno-oncology oligo-tagged antibody panel, developed with Abcam conjugated antibodies, the tissues are permeabilized and the representative probes are captured. Paired GEX and protein libraries are generated for each section and then sequenced on an Illumina NovaSeq at a depth of ~50,000 reads per spot. Resulting reads from both libraries are aligned and overlaid with H&E-stained tissue images, enabling analysis of both mRNA and protein expression. Additional analyses and data visualizations were performed on the Loupe Browser v4.1 desktop software.ConclusionsSpatial transcriptomics technology complements pathological examination by combining histological assessment with the throughput and deep biological insight of highly-multiplexed protein detection and RNA-seq. Taken together, our work demonstrated that Visium Spatial technology provides a spatially-resolved, multi-analyte view of the tumor microenvironment, where a greater understanding of cellular behavior in and around tumors can help drive discovery of new biomarkers and therapeutic targets.

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