Target irradiation induced bystander effects between stem-like and non stem-like cancer cells

Liu, Yu; Kobayashi, Adam; Maeda, Takeshi; Fu, Qibin; Oikawa, Masakazu; Yang, Gen; Konishi, Teruaki; Uchihori, Y.; Hei, Tom K.; Wang, Yugang

doi:10.1016/j.mrfmmm.2015.01.012

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…This phenomenon is postulated to be induced by virtue of intercellular communication, such as bystander effects between CSCs and non-CSCs. Although the cell-killing signal is a well-known pattern in bystander effects, the recent microbeam studies have revealed that the cell-killing signal weakens when only the CSCs are irradiated [35]. Thus suggests that it is necessary to quantitatively evaluate whether the change in radiosensitivity depends on the proportion of the CSCs or not.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the high-dose-range radioresistance of prostate cancer cells, including cancer stem cells, based on a stochastic model

Saga

Matsuya

Takahashi

et al. 2019

Journal of Radiation Research

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In radiotherapy, cancer stem cells (CSCs) are well recognized as one of the radioresistant cell types. Even in a small subpopulation, CSCs may have an influence on tumor control probability, represented by cell killing after irradiation. However, the relationship between the percentage content of CSCs and the cell survival dose–response curve has not yet been quantitatively clarified. In this study, we developed a cell-killing model for two cell populations (CSCs and progeny cells) to predict the surviving fractions, and compared it with the conventional linear–quadratic (LQ) model. Three prostate cancer cell lines (DU145, PC3 and LNCaP) were exposed to X-rays at doses ranging from 0 to 10 Gy. After the irradiation, we performed clonogenic survival assays to generate the cell survival curves, and carried out flow-cytometric analyses to estimate the percentage content of CSCs for each cell line. The cell survival curves for DU145 cells and PC3 cells seemed not to follow the conventional LQ model in the high dose range (>8 Gy). However, the outputs of the developed model agreed better with the experimental cell survival curves than those of the LQ model. The percentage content of CSCs predicted by the developed model was almost coincident with the measured percentage content for both DU145 cells and PC3 cells. The experiments and model analyses indicate that a small subpopulation of radioresistant CSCs has lower radiosensitivity in the high-dose range, which may lessen the clinical outcome for patients with prostate cancer after high-dose radiation therapy.

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Section: Discussionmentioning

confidence: 99%

Analysis of the high-dose-range radioresistance of prostate cancer cells, including cancer stem cells, based on a stochastic model

Saga

Matsuya

Takahashi

et al. 2019

Journal of Radiation Research

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“…Unirradiated cells exhibit irradiated effects as the result of the production of secreted soluble factors or communication of signals through gap junction from nearby irradiated cells [Azzam et al, ]. Recent data have demonstrated radiation‐induced bystander effects between CSC‐like cells and non‐stem cells [Liua et al, ]. One possible mechanism of the bystander effects is mediated through an increase in the production and secretion of IL‐8, transforming growth factor‐β1, and IL‐6 by irradiated cells [Ivanov and Hei, ].…”

Section: Discussionmentioning

confidence: 99%

Cancer Stem Cells Protect Non‐Stem Cells From Anoikis: Bystander Effects

Kim

Hong

Basse

et al. 2016

J of Cellular Biochemistry

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Cancer stem cells (CSCs) are capable of initiation and metastasis of tumors. Therefore, understanding the biology of CSCs and the interaction between CSCs and their counterpart non-stem cells is crucial for developing a novel cancer therapy. We used CSC-like and non-stem breast cancer MDA-MB-231 and MDA-MB-453 cells to investigate mammosphere formation. We investigated the role of the epithelial cadherin (E-cadherin)-extracellular signal-regulated kinase (Erk) axis in anoikis. Data from E-cadherin small hairpin RNA assay and mitogen-activated protein kinase kinase (MEK) inhibitor study show that activation of Erk, but not modulation of E-cadherin level, may play an important role in anoikis resistance. Next, the two cell subtypes were mixed and the interaction between them during mammosphere culture and xenograft tumor formation was investigated. Unlike CSC-like cells, increased secretion of interleukin-6 (IL-6) and growth-related oncogene (Gro) chemokines was detected during mammosphere culture in non-stem cells. Similar results were observed in mixed cells. Interestingly, CSC-like cells protected non-stem cells from anoikis and promoted tumor growth. Our results suggest bystander effects between CSC-like cells and non-stem cells. J. Cell. Biochem. 117: 2289-2301, 2016. © 2016 Wiley Periodicals, Inc.

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“…By combining the detection of CTCs with the study of TLS, tumor response to treatment can be more accurately assessed, especially in immunotherapy and radiotherapy. For example, if treatment leads to changes in TLS properties, this may be reflected in changes in the number and properties of CTCs, thereby providing a basis for adjusting treatment strategies 50 , 51 . In this way, the detection technology of CTCs can not only help us understand the dynamic changes of the tumor microenvironment, but can also be combined with the study of TLS to provide a dual perspective for developing new treatments and improving tumor management.…”

Section: Discussionmentioning

confidence: 99%

To explore the prognostic characteristics of colon cancer based on tertiary lymphoid structure-related genes and reveal the characteristics of tumor microenvironment and drug prediction

Wang,

Niu

2024

Sci Rep

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In order to construct a prognostic evaluation model of TLS features in COAD and better realize personalized precision medicine in COAD. Colon adenocarcinoma (COAD) is a common malignant tumor of the digestive system. At present, there is no effective prognostic marker to predict the prognosis of patients. Tertiary lymphoid structure (TLS) affects cancer progression by regulating immune microenvironment. Mining COAD biomarkers based on TLS-related genes helps to improve the prognosis of patients. In order to construct a prognostic evaluation model of TLS features in COAD and better realize personalized precision medicine in COAD. The mRNA expression data and clinical information of COAD and adjacent tissues were downloaded from the Cancer Genome Atlas database. The differentially expressed TLS-related genes of COAD relative to adjacent tissues were obtained by differential analysis. TLS gene co-expression analysis was used to mine genes highly related to TLS, and the intersection of the two was used to obtain candidate genes. Univariate, LASSO, and multivariate Cox regression analysis were performed on candidate genes to screen prognostic markers to construct a risk assessment model. The differences of immune characteristics were evaluated by ESTIMATE, ssGSEA and CIBERSORT in high and low risk groups of prognostic model. The difference of genomic mutation between groups was evaluated by tumor mutation burden score. Screening small molecule drugs through the GDSC library. Finally, a nomogram was drawn to evaluate the clinical value of the prognostic model. Seven TLS-related genes ADAM8, SLC6A1, PAXX, RIMKLB, PTH1R, CD1B, and MMP10 were screened to construct a prognostic model. Survival analysis showed that patients in the high-risk group had significantly lower overall survival rates. Immune microenvironment analysis showed that patients in the high-risk group had higher immune indicators, indicating higher immunity. The genomic mutation patterns of the high-risk and low-risk groups were significantly different, especially the KRAS mutation frequency was significantly higher in the high-risk group. Drug sensitivity analysis showed that the low-risk group was more sensitive to Erlotinib, Savolitinib and VE _ 822, which may be used as a potential drug for COAD treatment. Finally, the nomogram constructed by pathological features combined with RiskScore can accurately evaluate the prognosis of COAD patients. This study constructed and verified a TLS model that can predict COAD. More importantly, it provides a reference standard for guiding the prognosis and immunotherapy of COAD patients.

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Target irradiation induced bystander effects between stem-like and non stem-like cancer cells

Cited by 11 publications

References 38 publications

Analysis of the high-dose-range radioresistance of prostate cancer cells, including cancer stem cells, based on a stochastic model

Analysis of the high-dose-range radioresistance of prostate cancer cells, including cancer stem cells, based on a stochastic model

Cancer Stem Cells Protect Non‐Stem Cells From Anoikis: Bystander Effects

To explore the prognostic characteristics of colon cancer based on tertiary lymphoid structure-related genes and reveal the characteristics of tumor microenvironment and drug prediction

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