Breast CSC sensitivity to particle beam radiation
Breast CSC sensitivity to particle beam radiation
Disciplines
Biology (30%); Clinical Medicine (35%); Medical-Theoretical Sciences, Pharmacy (35%)
Keywords
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Breast Cancer,
Photon Radiation Therapy,
Radiation Resistance,
Cancer Stem Cells,
Ion Beam Radiation Therapy,
Molecular Signaling
Despite significant improvement in the treatment outcome due to the development of novel and effective therapeutic strategies, breast cancer is still one of the most common causes of cancer-related mortality among women worldwide. Radiation therapy (RT) plays an important role in the management of early and advanced breast cancer. This therapeutic approach markedly reduces risk of the local recurrences of breast cancer. However not all carcinoma cells are uniformly sensitive to the photon-based RT that is currently used in the breast cancer treatment. It is suggested that cells survived after radiation exposure could be responsible for further tumor regeneration and disease progression. These cells are called cancer stem cells (CSCs). Since CSCs are suggested as photon- resistant intratumoral cell subpopulation, perhaps other types of RT (ion beam RT) could effectively destroy and eliminate CSCs. It is suggested that proton beam RT could be equally or even more effective compared to photon RT, whereas carbon ion beam RT has been shown to be undoubtedly more effective than photon RT with less pronounced normal tissue reactions. However, there are only limited and sporadic reports presenting results on the anti-tumor efficacy of ion beam RT. Therefore new clinically-relevant radiobiological research is urgently needed. Although molecular background of breast carcinoma cell radioresistance is relatively well described, little is known whether photon- resistant breast cancer cells (including breast CSCs) could be sensitive to proton or carbon ion beam ionizing radiation. Furthermore, nothing is known about molecular signature(s) of breast carcinoma cells resistant to the heavy ion irradiation. This research project aims to elucidate molecular signatures of breast CSCs associated with their resistance to low-linear energy transfer (LET) (photons and protons), and high-LET (carbon ions) ionizing radiation. Specific inhibition of the molecular pathways affected in CSCs can help to overcome resistance of breast CSCs to either low- or high-LET RT, thereby resulting in the improvement of clinical outcome in breast cancer patients treated with RT.
Despite significant improvement in the treatment outcome due to the development of novel and effective therapeutic strategies, breast cancer is still one of the most common causes of cancer-related mortality among women worldwide. Radiation therapy plays an important role in the management of early and advanced breast cancer. This therapeutic approach markedly reduces risk of the local recurrences of breast cancer. However not all carcinoma cells are uniformly sensitive to the photon-based RT that is currently used in the breast cancer treatment. It is suggested that cells survived after radiation exposure could be responsible for further tumor regeneration and disease progression. These cells are called 'cancer stem cells' (CSCs). It is generally believed that CSCs could be resistant to the photon-based ionizing radiation (low-LET), and we have assumed that carbon ion irradiation (high-LET) could more effectively destroy and eliminate CSCs compared to photon-based irradiation. In order to prove this hypothesis, we have generated two in vitro models of metastatic and radioresistant breast carcinoma cells. Both breast carcinoma cell models have demonstrated an enrichment for the CSC content. Using the proteomic approach, we have found that the molecular signatures of the investigated metastatically active and radioresistant carcinoma cells can be used for the development of the putative biomarkers to predict response to photon-based ionizing radiation. In cooperation with NIRS (Chiba, Japan), we have checked the sensitivities of the metastatically active and photon-resistant breast carcinoma cells to the carbon ion irradiation. It was determined that cells belonging to different sybtypes of breast cancer execute their low- and high-LET radiation responses using distinct molecular mechanisms. Therefore, a suitable type of radiotherapy could correctly be selected for each subtype of breast carcinomas depending on the molecular profiling of carcinoma cells. It was additionally detected that chemical compounds targeting deregulated molecular pathways can markedly improve radiation responses in metastatically active and radioresistant breast carcinoma cells. Thus, metastatic and radioresistant breast carcinoma cells are characterized by affected lipid metabolism. This fact opens additional perspectives to improve radiotherapy outcomes in breast cancer patients with the locally or distantly relapsed tumors. Furthermore, we try to determine how abnormalities in lipid metabolism can be explored in the inhibition of metastatic properties of breast carcinoma cells. This research project allowed us to develop new strategies to make radiotherapy as a more personalized approach.
- Edit Szepessy, EORTC Data Center - Belgium
- Emilie Varin, EORTC Data Center - Belgium
- Anna Dubrovska, National Center for Radiation Research in Oncology - Germany
- Fumiaki Nakayama, National Institute of Radiological Sciences - Japan
- Katsutoshi Sato, National Institute of Radiological Sciences - Japan
- Kumiko Karasawa, National Institute of Radiological Sciences - Japan
- Mayumi Fujita, National Institute of Radiological Sciences - Japan
- Takashi Imai, National Institute of Radiological Sciences - Japan
- Connie R. Jimenez, VU University Medical Center - Netherlands
Research Output
- 1085 Citations
- 10 Publications
- 1 Datasets & models
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2021
Title Simvastatin is effective in killing the radioresistant breast carcinoma cells DOI 10.2478/raon-2021-0020 Type Journal Article Author Aschenbrenner B Journal Radiology and Oncology Pages 305-316 Link Publication -
2017
Title The role of exosomes in cancer metastasis DOI 10.1016/j.semcancer.2017.02.006 Type Journal Article Author Steinbichler T Journal Seminars in Cancer Biology Pages 170-181 -
2020
Title Molecular heterogeneity in breast carcinoma cells with increased invasive capacities DOI 10.2478/raon-2020-0007 Type Journal Article Author Negro G Journal Radiology and Oncology Pages 103-118 Link Publication -
2018
Title Concise Review: Prostate Cancer Stem Cells: Current Understanding DOI 10.1002/stem.2859 Type Journal Article Author Skvortsov S Journal Stem Cells Pages 1457-1474 Link Publication -
2018
Title Olaparib is effective in combination with, and as maintenance therapy after, first-line endocrine therapy in prostate cancer cells DOI 10.1002/1878-0261.12185 Type Journal Article Author Feiersinger G Journal Molecular Oncology Pages 561-576 Link Publication -
2018
Title Therapy resistance mediated by cancer stem cells DOI 10.1016/j.semcancer.2018.11.006 Type Journal Article Author Steinbichler T Journal Seminars in Cancer Biology Pages 156-167 -
2019
Title The CD98 Heavy Chain Is a Marker and Regulator of Head and Neck Squamous Cell Carcinoma Radiosensitivity DOI 10.1158/1078-0432.ccr-18-2951 Type Journal Article Author Digomann D Journal Clinical Cancer Research Pages 3152-3163 Link Publication -
2019
Title Therapy resistance mediated by exosomes DOI 10.1186/s12943-019-0970-x Type Journal Article Author Steinbichler T Journal Molecular Cancer Pages 58 Link Publication -
2019
Title Special Issue “Enigmatic tumor properties associated with metastatic spread” seminars in cancer biology, volume XX DOI 10.1016/j.semcancer.2019.10.021 Type Journal Article Author Skvortsova I Journal Seminars in Cancer Biology -
2019
Title Cancer stem cells and their unique role in metastatic spread DOI 10.1016/j.semcancer.2019.09.007 Type Journal Article Author Steinbichler T Journal Seminars in Cancer Biology Pages 148-156
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2018
Link
Title Dataset for: Olaparib is effective in combination with, and as maintenance therapy after, first-line endocrine therapy in prostate cancer cells. DOI 10.6084/m9.figshare.5903455 Type Database/Collection of data Public Access Link Link