Single Cell Adhesion in Cancer Progression

2021 ◽  
pp. 729-766
Author(s):  
Privita Edwina Rayappan George Edwin ◽  
Saumendra Bajpai
Keyword(s):  
Cell Adhesion ◽  
Single Cell ◽  
Cancer Progression

Single Cell Adhesion in Cancer Progression

2018 ◽  
pp. 1-39
Author(s):  
Privita Edwina Rayappan George Edwin ◽  
Saumendra Bajpai
Keyword(s):  
Cell Adhesion ◽  
Single Cell ◽  
Cancer Progression

Recent Advances in the Function of the 67 kDa Laminin Receptor and its Targeting for Personalized Therapy in Cancer

2017 ◽  
Vol 23 (32) ◽  
pp. 4745-4757 ◽  
Author(s):  
Ada Pesapane ◽  
Pia Ragno ◽  
Carmine Selleri ◽  
Nunzia Montuori
Keyword(s):  
Cell Adhesion ◽  
Cancer Progression ◽  
Ribosome Biogenesis ◽  
Critical Role ◽  
Protein Translation ◽  
Basement Membranes ◽  
Laminin Receptor ◽  
Cell Surface Receptor ◽  
Future Application ◽  
Neoplastic Cells

The 67 kDa high affinity laminin receptor (67LR) is a non-integrin cell surface receptor for laminin, the major component of basement membranes. Interactions between 67LR and laminin play a major role in mediating cell adhesion, migration, proliferation and survival. 67LR derives from homo- or hetero-dimerization of a 37 kDa cytosolic precursor (37LRP), most probably by fatty acid acylation. Interestingly, 37LRP, also called p40 or OFA/iLR (oncofetal antigen/immature laminin receptor), is a multifunctional protein with a dual activity in the cytoplasm and in the nucleus. In the cytoplasm, 37LRP it is associated with the 40S subunit of ribosome, playing a critical role in protein translation and ribosome biogenesis while in the nucleus it is tightly associated with nuclear structures, and bound to components of the cytoskeleton, such as tubulin and actin. 67LR is mainly localized in the cell membrane, concentrated in lipid rafts. Acting as a receptor for laminin is not the only function of 67LR; indeed, it also acts as a receptor for viruses, bacteria and prions. 67LR expression is increased in neoplastic cells and correlates with an enhanced invasive and metastatic potential. The primary function of 67LR in cancer is to promote tumor cell adhesion to basement membranes, the first step in the invasion-metastasis cascade. Thus, 67LR is overexpressed in neoplastic cells as compared to their normal counterparts and its overexpression is considered a molecular marker of metastatic aggressiveness in cancer of many tissues, including breast, lung, ovary, prostate, stomach, thyroid and also in leukemia and lymphoma. Thus, inhibiting 67LR binding to laminin could be a feasible approach to block cancer progression. Here, we review the current understanding of the structure and function of this molecule, highlighting its role in cancer invasion and metastasis and reviewing the various therapeutic options targeting this receptor that could have a promising future application.

The cadherin cell-cell adhesion pathway in prostate cancer progression

1997 ◽  
Vol 79 (S1) ◽  
pp. 37-43 ◽  
Author(s):  
R. PAUL ◽  
C.M. EWING ◽  
D.F. JARRARD ◽  
W.B. ISAACS
Keyword(s):  
Prostate Cancer ◽  
Cell Adhesion ◽  
Cancer Progression ◽  
Prostate Cancer Progression ◽  
Cell Cell

scholarly journals Single-cell analysis revealed that IL4I1 promoted ovarian cancer progression

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hongyu Zhao ◽  
Yu Teng ◽  
Wende Hao ◽  
Jie Li ◽  
Zhefeng Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Single Cell ◽  
Cancer Progression ◽  
Cox Regression ◽  
Single Cell Analysis ◽  
Cell Types ◽  
In Vitro Assays ◽  
Migration And Invasion ◽  
Dominant Type

Abstract Background Ovarian cancer was one of the leading causes of female deaths. Patients with OC were essentially incurable and portends a poor prognosis, presumably because of profound genetic heterogeneity limiting reproducible prognostic classifications. Methods We comprehensively analyzed an ovarian cancer single-cell RNA sequencing dataset, GSE118828, and identified nine major cell types. Relationship between the clusters was explored with CellPhoneDB. A malignant epithelial cluster was confirmed using pseudotime analysis, CNV and GSVA. Furthermore, we constructed the prediction model (i.e., RiskScore) consisted of 10 prognosis-specific genes from 2397 malignant epithelial genes using the LASSO Cox regression algorithm based on public datasets. Then, the prognostic value of Riskscore was assessed with Kaplan–Meier survival analysis and time-dependent ROC curves. At last, a series of in-vitro assays were conducted to explore the roles of IL4I1, an important gene in Riskscore, in OC progression. Results We found that macrophages possessed the most interaction pairs with other clusters, and M2-like TAMs were the dominant type of macrophages. C0 was identified as the malignant epithelial cluster. Patients with a lower RiskScore had a greater OS (log-rank P < 0.01). In training set, the AUC of RiskScore was 0.666, 0.743 and 0.809 in 1-year, 3-year and 5-year survival, respectively. This was also validated in another two cohorts. Moreover, downregulation of IL4I1 inhibited OC cells proliferation, migration and invasion. Conclusions Our work provide novel insights into our understanding of the heterogeneity among OCs, and would help elucidate the biology of OC and provide clinical guidance in prognosis for OC patients.

scholarly journals Convergence of oncogenic cooperation at single-cell and single-gene levels drives leukemic transformation

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yuxuan Liu ◽  
Zhimin Gu ◽  
Hui Cao ◽  
Pranita Kaphle ◽  
Junhua Lyu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cancer Progression ◽  
Single Gene ◽  
Myeloid Cell ◽  
Cellular Level ◽  
Integrative Approach ◽  
Cancer Evolution ◽  
Cell Assays

AbstractCancers develop from the accumulation of somatic mutations, yet it remains unclear how oncogenic lesions cooperate to drive cancer progression. Using a mouse model harboring NRasG12D and EZH2 mutations that recapitulates leukemic progression, we employ single-cell transcriptomic profiling to map cellular composition and gene expression alterations in healthy or diseased bone marrows during leukemogenesis. At cellular level, NRasG12D induces myeloid lineage-biased differentiation and EZH2-deficiency impairs myeloid cell maturation, whereas they cooperate to promote myeloid neoplasms with dysregulated transcriptional programs. At gene level, NRasG12D and EZH2-deficiency independently and synergistically deregulate gene expression. We integrate results from histopathology, leukemia repopulation, and leukemia-initiating cell assays to validate transcriptome-based cellular profiles. We use this resource to relate developmental hierarchies to leukemia phenotypes, evaluate oncogenic cooperation at single-cell and single-gene levels, and identify GEM as a regulator of leukemia-initiating cells. Our studies establish an integrative approach to deconvolute cancer evolution at single-cell resolution in vivo.

scholarly journals Characterizing Intercellular Communication of Pan-Cancer Reveals SPP1+ Tumor-Associated Macrophage Expanded in Hypoxia and Promoting Cancer Malignancy Through Single-Cell RNA-Seq Data

2021 ◽  
Vol 9 ◽  
Author(s):  
Jinfen Wei ◽  
Zixi Chen ◽  
Meiling Hu ◽  
Ziqing He ◽  
Dawei Jiang ◽  
...  
Keyword(s):  
Single Cell ◽  
Cancer Cells ◽  
Cancer Progression ◽  
Epithelial Mesenchymal Transition ◽  
Single Cells ◽  
Matrix Remodeling ◽  
Rna Seq ◽  
Mesenchymal Transition ◽  
Tumor Associated Macrophage ◽  
Cancer Types

Hypoxia is a characteristic of tumor microenvironment (TME) and is a major contributor to tumor progression. Yet, subtype identification of tumor-associated non-malignant cells at single-cell resolution and how they influence cancer progression under hypoxia TME remain largely unexplored. Here, we used RNA-seq data of 424,194 single cells from 108 patients to identify the subtypes of cancer cells, stromal cells, and immune cells; to evaluate their hypoxia score; and also to uncover potential interaction signals between these cells in vivo across six cancer types. We identified SPP1+ tumor-associated macrophage (TAM) subpopulation potentially enhanced epithelial–mesenchymal transition (EMT) by interaction with cancer cells through paracrine pattern. We prioritized SPP1 as a TAM-secreted factor to act on cancer cells and found a significant enhanced migration phenotype and invasion ability in A549 lung cancer cells induced by recombinant protein SPP1. Besides, prognostic analysis indicated that a higher expression of SPP1 was found to be related to worse clinical outcome in six cancer types. SPP1 expression was higher in hypoxia-high macrophages based on single-cell data, which was further validated by an in vitro experiment that SPP1 was upregulated in macrophages under hypoxia-cultured compared with normoxic conditions. Additionally, a differential analysis demonstrated that hypoxia potentially influences extracellular matrix remodeling, glycolysis, and interleukin-10 signal activation in various cancer types. Our work illuminates the clearer underlying mechanism in the intricate interaction between different cell subtypes within hypoxia TME and proposes the guidelines for the development of therapeutic targets specifically for patients with high proportion of SPP1+ TAMs in hypoxic lesions.

scholarly journals Identification Of Gene Signature For Renal Cell Carcinoma-Associated Fibroblasts Mediating Cancer Progression And Affecting Prognosis

2020 ◽  
Author(s):  
Bitian Liu ◽  
Xiaonan Chen ◽  
Yunhong Zhan ◽  
Bin Wu ◽  
Shen Pan
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Single Cell ◽  
Clinical Significance ◽  
Cell Lines ◽  
Cancer Progression ◽  
Renal Cell ◽  
Gene Signature ◽  
Pathological Grade ◽  
Single Cell Sequencing

Abstract Background: Cancer-associated fibroblasts (CAFs) are most abundant in stroma and are critically involved in cancer progression. However, the specific signature of CAFs and related clinicopathological parameters in renal cell carcinoma (RCC) remain unclear. Methods: In this work, methods using recognized gene signatures were employed to roughly assess the infiltration level of the stroma and CAFs in RCC based on the data in The Cancer Genome Atlas. Weighted gene co-expression network analysis (WGCNA) was used to cluster transcriptomes and correlate with CAFs to identify specific markers. A comparison of fibroblast versus urothelial carcinoma cell lines and correlation with previously reported CAF markers were performed to demonstrate the specific expressed of the gene signature. The gene signature was used to compare fibroblast infiltration of each sample through single sample gene set enrichment analysis, and the clinical significance of fibroblasts was analyzed via Cox risk assessment and the chi-square test. Finally, we used validation data to verify the clinical significance of the fibroblast gene signature in RCC. Results: Roughly calculated tumor matrix and CAF levels were significantly higher in kidney cancer than in normal tissues. More than 85% of fibroblast-specific markers identified by WGCNA were consistent with markers obtained via single-cell sequencing. These markers were more highly expressed in fibroblast cell lines and were significantly correlated with canonical CAFs makers. Data validation also showed that CAFs were significant correlation with survival and pathological grade. Conclusions: In summary, our findings indicate that the gene signature potentially serves as a biomarker of CAFs in RCC and that infiltration of fibroblasts in RCC is an independent prognostic factor associated with pathological grade and stage of tumor. The ability to recognize specific CAF markers using WGCNA is comparable to single-cell sequencing.

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