scholarly journals Current Perspectives on B Lymphocytes in the Immunobiology of Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Miaomiao Qin ◽  
Danping Wang ◽  
Yijiao Fang ◽  
Zhiying Zheng ◽  
Xinyang Liu ◽  
...  

Immune cells infiltrating tumors are capable of significantly impacting carcinogenesis through cancer promotion and anticancer responses. There are many aspects of hepatocellular carcinoma (HCC) related T lymphocytes that are undergoing extensive studies, whereas the effect exerted by B lymphocytes remains a less researched area. In this study, the latest research on the effect of B lymphocytes as they infiltrate tumors in relation to HCC is presented. Their prognosis-related importance is analyzed, along with their function in the tumor microenvironment (TME), as well as the way that B cell biology can be employed to help create a B cell therapy strategy for HCC.

Cancers ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 242 ◽  
Author(s):  
Galaxia Rodriguez ◽  
Kristianne Galpin ◽  
Curtis McCloskey ◽  
Barbara Vanderhyden

Immunotherapy as a treatment for cancer is a growing field of endeavor but reports of success have been limited for epithelial ovarian cancer. Overcoming the challenges to developing more effective therapeutic approaches lies in a better understanding of the factors in cancer cells and the surrounding tumor microenvironment that limit response to immunotherapies. This article provides an overview of some ovarian cancer cell features such as tumor-associated antigens, ovarian cancer-derived exosomes, tumor mutational burden and overexpression of immunoinhibitory molecules. Moreover, we describe relevant cell types found in epithelial ovarian tumors including immune cells (T and B lymphocytes, Tregs, NK cells, TAMs, MDSCs) and other components found in the tumor microenvironment including fibroblasts and the adipocytes in the omentum. We focus on how those components may influence responses to standard treatments or immunotherapies.


2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Zhenfeng Deng ◽  
Jilong Wang ◽  
Banghao Xu ◽  
Zongrui Jin ◽  
Guolin Wu ◽  
...  

Hepatocellular carcinoma (HCC) is one of the most common and lethal malignancies. Recent studies reveal that tumor microenvironment (TME) components significantly affect HCC growth and progression, particularly the infiltrating stromal and immune cells. Thus, mining of TME-related biomarkers is crucial to improve the survival of patients with HCC. Public access of The Cancer Genome Atlas (TCGA) database allows convenient performance of gene expression-based analysis of big data, which contributes to the exploration of potential association between genes and prognosis of a variety of malignancies, including HCC. The “Estimation of STromal and Immune cells in MAlignant Tumors using Expression data” algorithm renders the quantification of the stromal and immune components in TME possible by calculating the stromal and immune scores. Differentially expressed genes (DEGs) were screened by dividing the HCC cohort of TCGA database into high- and low-score groups according to stromal and immune scores. Further analyses of functional enrichment and protein-protein interaction networks show that the DEGs are mainly involved in immune response, cell adhesion, and extracellular matrix. Finally, seven DEGs have significant association with HCC poor outcomes. These genes contain FABP3, GALNT5, GPR84, ITGB6, MYEOV, PLEKHS1, and STRA6 and may be candidate biomarkers for HCC prognosis.


2020 ◽  
Vol 9 (8) ◽  
pp. 2418
Author(s):  
Roberto Tamma ◽  
Girolamo Ranieri ◽  
Giuseppe Ingravallo ◽  
Tiziana Annese ◽  
Angela Oranger ◽  
...  

Diffuse large B cell lymphoma (DLBCL), known as the most common non-Hodgkin lymphoma (NHL) subtype, is characterized by high clinical and biological heterogeneity. The tumor microenvironment (TME), in which the tumor cells reside, is crucial in the regulation of tumor initiation, progression, and metastasis, but it also has profound effects on therapeutic efficacy. The role of immune cells during DLBCL development is complex and involves reciprocal interactions between tumor cells, adaptive and innate immune cells, their soluble mediators and structural components present in the tumor microenvironment. Different immune cells are recruited into the tumor microenvironment and exert distinct effects on tumor progression and therapeutic outcomes. In this review, we focused on the role of macrophages, Neutrophils, T cells, natural killer cells and dendritic cells in the DLBCL microenvironment and their implication as target for DLBCL treatment. These new therapies, carried out by the induction of adaptive immunity through vaccination or passive of immunologic effectors delivery, enhance the ability of the immune system to react against the tumor antigens inducing the destruction of tumor cells.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 939-939
Author(s):  
Estefania Yelo ◽  
Lourdes Gimeno ◽  
Maria Victoria Bernardo ◽  
Maria Juliana Majado ◽  
Maria Rocio Alvarez ◽  
...  

Abstract Interleukin-4 (IL4) induces proliferation, differentiation and survival of B lymphocytes. IL4 protects CLL B cells from death by apoptosis. Gene expression analysis suggest that IL4 pathways are activated in CLL cells. We have identified DOCK10/Zizimin3 as an IL4-induced gene in CLL cells, and have obtained its full length sequence after cloning 1960 bp at its 5′ terminus by RACE-PCR. The human DOCK10/ZIZ3 sequence coded for a protein with 2180 amino acids and a predicted Mr of 250K. DOCK10/ZIZ3 shared homology with the other two members of the Zizimin family, and is the largest among them: DOCK9/ZIZ1 (2069 amino acids) and DOCK11/ZIZ2 (2073 amino acids) are 52% and 50% identical, respectively, to DOCK10/ZIZ3, and 58% identical between them. DOCK10 was predominantly expressed in hematopoietic tissues, particularly in peripheral blood (PB), but also in lymph nodes, thymus and spleen. Among the PB subpopulations, DOCK10 was expressed in B and T lymphocytes and, at lower levels, in monocytes. DOCK10 was also expressed in several non-hematopoietic tissues, most significantly in brain and kidney. Its homologue DOCK9, compared to DOCK10, was predominantly expressed in placenta, and less significantly in hematopoietic tissues, particularly in B lymphocytes and monocytes. DOCK11, like DOCK10, was predominantly expressed in PB. Compared to DOCK10, DOCK11 was expressed more prominently in placenta, thyroid and PB monocytes, and less significantly in brain and lymph nodes. Therefore, each of the Zizimin family members had a specific tissue distribution. Among the three genes, only DOCK10 was induced by IL4 in CLL cells in vitro. Induction of DOCK10 by IL4 was a common event in CLL, since it was observed in 10 out of 10 cases. IL4 also induced DOCK10 expression in normal PB B lymphocytes, suggesting that DOCK10 induction by IL4 in CLL cells may be normal, rather than pathological. Western blot analysis using a polyclonal antibody raised against a peptide which mapped at the N terminus of DOCK10, detected a band of the expected size of 250K. Interestingly, IL4 did not induce DOCK10 expression in CD4 or CD8 T lymphocytes in vitro. Expression of DOCK10 was also studied in 4 B-ALL, 2 T-ALL, and 1 T-CLL. DOCK10 neither was expressed at significant levels nor induced by IL4 in vitro in these patients, except for a weak induction in a common B-ALL case, suggesting that expression of DOCK10, and its induction with IL4, may be restricted to certain stages of B cell differentiation, and/or certain B cell malignancies. DOCK10 was distributed both in cytosolic and nuclear extracts of CLL cells, and IL4 increased its expression in both compartments. K562 clones stably transfected with DOCK10 using the inducible tet-off expression system showed significantly higher levels of DOCK10 in cytoplasm than in nucleus. Immunofluoresce analysis of HA-tagged DOCK10 K562 clones showed preferent staining of the cytoplasm, and dotted structures were frequently observed. GST-pulldown assays showed that DOCK10 bound to nucleotide-free (nf) Cdc42, but not to GTP- or GDP-loaded Cdc42. In addition, DOCK10 bound to nf Rac1, albeit with less affinity than to Cdc42. DOCK10 did not bind to RhoA. These results suggest that, like DOCK9 and DOCK11, DOCK10 may act as a novel Cdc42 guanine-nucleotide exchange factor (GEF) and, in addition, as a Rac1 GEF.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4352-4352
Author(s):  
Julia Winkler ◽  
Michael Mach ◽  
Juergen Zingsem ◽  
Volker Weisbach ◽  
Andreas Mackensen ◽  
...  

Abstract Abstract 4352 Background and objectives: We have recently shown that memory B-lymphocytes from murine CMV immune donor animals adoptively transferred into immunodeficient mice were highly effective in protecting from a viral infection indicating a therapeutic potential of virus specific memory B-cells. These preclinical data provided evidence that a cell-based strategy supporting the humoral immune response might be effective in a clinical setting of post-HSCT immunodeficiency (Klenovsek et al., 2007, Blood 110: 3472–9). As adoptive transfer of B-cells has not been used before in a clinical setting, it is necessary to establish a technology for the generation of GMP-grade B-cell products. Methods: Starting from the leukapheresis of healthy donors, B-cells were purified by two different separation strategies using GMP-grade microbeads and the CliniMACS∧TM device. A one-step protocol was used for positive enrichment of B-lymphocytes with anti-CD19 microbeads. In a two-step enrichment protocol, first T-lymphocytes were depleted by anti-CD3 microbeads and the remaining fraction was positively selected by anti-CD19 microbeads. Results: The leukapheresis contained a mean of 9.0×10∧8 CD19-positive B-cells (4.5–12.4 ×10∧8). After the one-step positive purification strategy a mean purity of CD20∧+ B-lymphocytes of 78.1% with a recovery of 32–41% was obtained. With the two-step T-cell depletion/B-cell enrichment protocol we achieved a mean purity of 96.4 % (93.4–97.8%) with a slightly lower recovery of 14–37%. The absolute B-cell numbers obtained in the product were 1.3 to 4.0 ×10∧8 and 1.7 to 2.6 ×10∧8 for the one-step positive enrichment and the two-step protocol, respectively. Importantly, the absolute number of T-cells was lower in cell products after the two-step protocol (0.1 to 0.9 ×10∧6 T-cells) as compared to the one-step positive CD19-enrichment (1.6 to 3.4 ×10∧6 T-cells). Assuming a patient with 70 kg body weight, the B-cell products obtained after the combined CD3-depletion and CD19-enrichment contained less then 4×10∧4 T-lymphocytes/kg bodyweight, which is a critical threshold number of T-cells in haploidentical HSCT. The B-cell products showed antibody production after in vitro stimulation in a limiting dilution assay and showed excellent viability after cryopreservation. Conclusions: A GMP-grade B-cell product can be obtained with high purity and very low T-cell contamination using the two-step enrichment protocol based on CliniMACS∧TM technology. (Supported by BayImmuNet) Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3577-3577
Author(s):  
Amir Mehrvarz Sarshekeh ◽  
Riham Katkhuda ◽  
Anuj Verma ◽  
Shailesh M Advani ◽  
Michael J. Overman ◽  
...  

3577 Background: Transforming growth factor- β pathway (TGF-β) has an established role in promoting growth, invasion, metastasis as well as epithelial to mesenchymal (EMT) transition. Among 4 different described molecular subtypes of colorectal cancer (CRC), consensus molecular subtype 4 (CMS4) comprises up to 25% of CRC pts, distinguished by activation of this pathway, and is associated with higher relapse rate and poor prognosis. Recently, it has also been proposed that TGF-β activation drives immune evasion in murine models, but these findings have not been clinically validated. Methods: Using multi-gene RNA expression profiling, fresh-frozen paraffin-embedded samples of 35 patients with CRC were analyzed to determine TGF-β and EMT expression levels. Multiplexed IHC staining was performed on FFPE tumor blocks by using the Opal 7-Color fIHC Kit and the stained slides were scanned by a Vectra multispectral microscope (PerkinElmer) to measure infiltration of immune cells (i.e., T lymphocytes, cytotoxic T lymphocytes (CTL), T cell antigen-experienced, macrophages, etc.) in the tumor, stroma, and both components. TGF-β and EMT expression levels – as continuous variables - were compared with the infiltration of various immune cells using Spearman’s rank correlation analysis. Results: Among 35 pts, 28 pts had non-CMS1/MSS CRC. TGF-β RNA expression in the tumor microenvironment of these samples was inversely associated with the infiltration of CTL into the tumor (r=-0.43, p= 0.022). In contrast, there was no association of TGF-β with non-cytotoxic T-cells or macrophage infiltration. The tumor and stromal CTL infiltration differed substantially by CMS ( p=0.04, p=0.02, respectively) with tumor infiltration lowest in CMS4 (n=7). Consistent with this, EMT gene signature, which includes TGF-β expression, showed a similar inverse correlation with CTL infiltration (r=-0.48, p=0.009). Conclusions: TGF-β and EMT gene signatures have important roles in the exclusion of CTL in the tumor microenvironment of CRC pts. Inhibiting TGF-β pathway can potentially increase the intratumoral infiltration of CTL, which is a necessary (but not sufficient) step for immunotherapy response in MSS CRC. Clinical trials evaluating this hypothesis are currently ongoing (NCT03436563).


2020 ◽  
Vol 69 (3) ◽  
pp. 325-342 ◽  
Author(s):  
Akshay J. Patel ◽  
Alex Richter ◽  
Mark T. Drayson ◽  
Gary W. Middleton

AbstractTumour-infiltrating immune cells have been widely implicated to play a significant role in carcinogenesis, through both pro- or anti-tumour effects. The multi-faceted effects of lung cancer associated T lymphocytes have been extensively studied, and yet, the role of B lymphocytes remains an area less studied. In this review, we will describe the current understanding of the role of tumour-infiltrating B lymphocytes in NSCLC, discuss their prognostic significance, their functionality within the tumour microenvironment and ultimately how we might harness B-cell biology to develop B-cell therapeutic strategies in cancer.


2021 ◽  
Vol 8 ◽  
Author(s):  
Shenglan Huang ◽  
Jian Zhang ◽  
Xiaolan Lai ◽  
Lingling Zhuang ◽  
Jianbing Wu

Introduction: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors with poor prognosis. The tumor microenvironment (TME) plays a vital role in HCC progression. Thus, this research was designed to analyze the correlation between the TME and the prognosis of HCC patients and to construct a TME-related long noncoding RNA (lncRNA) signature to determine HCC patients’ prognosis and response to immunotherapy.Methods: We assessed the stromal–immune–estimate scores within the HCC microenvironment using the ESTIMATE (Estimation of Stromal and Immune Cells in Malignant Tumor Tissues Using Expression Data) algorithm based on The Cancer Genome Atlas database, and their associations with survival and clinicopathological parameters were also analyzed. Thereafter, differentially expressed lncRNAs were filtered out according to the immune and stromal scores. Cox regression analysis was performed to build a TME-related lncRNA risk signature. Kaplan–Meier analysis was used to explore the prognostic value of the risk signature. Furthermore, we explored the biological functions and immune microenvironment features in the high- and low-risk groups. Lastly, we probed the association of the risk model with treatment responses to immune checkpoint inhibitors (ICIs) in HCC.Results: The stromal, immune, and estimate scores were obtained utilizing the ESTIMATE algorithm for patients with HCC. Kaplan–Meier analysis showed that high scores were significantly correlated with better prognosis in HCC patients. Six TME-related lncRNAs were screened to construct the prognostic model. The Kaplan–Meier curves suggested that HCC patients with low risk had better prognosis than those with high risk. Receiver operating characteristic (ROC) curve and Cox regression analyses indicated that the risk model could predict HCC survival exactly and independently. Functional enrichment analysis revealed that some tumor- and immune-related pathways were activated in the high-risk group. We also revealed that some immune cells, which were important in enhancing immune responses toward cancer, were significantly increased in the low-risk group. In addition, there was a close correlation between ICIs and the risk signature, which can be used to predict the treatment responses of HCC patients.Conclusion: We analyzed the influence of the stromal, immune, and estimate scores on the prognosis of HCC patients. A novel TME-related lncRNA risk model was established, which could be effectively applied as an independent prognostic biomarker and predictor of ICIs for HCC patients.


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