The potential of iodine for improving breast cancer diagnosis and treatment

Altman, Michael B.; Flynn, Michael J.; Nishikawa, Robert M.; Chetty, Indrin J.; Barton, Kenneth; Movsas, Benjamin; Kim, Jae Ho; Brown, Stephen L.

doi:10.1016/j.mehy.2012.10.018

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…Drug treatments, such as chemotherapy, endocrine therapies and other medications, usually vary. Drug treatments are targeted to the specific type of cancer (9,10).…”

Section: Introductionmentioning

confidence: 99%

Effect of sodium/iodide symporter (NIS)-mediated radioiodine therapy on estrogen receptor-negative breast cancer

Yao

Pan

et al. 2015

Oncology Reports

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Since the sodium/iodide symporter (NIS) stimulates the iodine uptake in normal lactating breast, our study aimed to study the effect of NIS-mediated radioiodide therapy on ER-negative breast cancers. A recombinant lentivirus plasmid encoding the human NIS (hNIS) gene and firefly luciferase (Fluc) was constructed. MDA-MB-231 cells were transfected with the recombinant lentivirus, and the hNIS gene expression was identified by western blot analysis and real-time PCR. Tissue-specific expression of the NIS gene was confirmed by immunohistochemical (IHC) staining. Functional NIS activity in the MDA-hNIS cells was confirmed by the uptake of 131I and cytotoxicity assays. The relative expression level of hNIS mRNA exhibited a 10-fold higher expression in the MDA-hNIS cells compared with the level in the control cells without the endogenous NIS gene. Abundant expression of hNIS protein was noted in the cell membrane compared to the cytoplasm which confirmed the efficient expression of the functional hNIS gene. Iodine uptake into the MDA-hNIS cells was rapid, reaching a maximum after 15 min, followed by a decline. Exposure of the MDA-hNIS cells with 131I resulted in a time-dependent reduction in colony formation compared with the survival of the control (MDA) cells. Our results confirmed that NIS overexpression enhances the sensitivity of ER-negative breast cancer cells to radioiodide therapy.

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“…Drug treatments, such as chemotherapy, endocrine therapies and other medications, usually vary. Drug treatments are targeted to the specific type of cancer (9,10).…”

Section: Introductionmentioning

confidence: 99%

Effect of sodium/iodide symporter (NIS)-mediated radioiodine therapy on estrogen receptor-negative breast cancer

Yao

Pan

et al. 2015

Oncology Reports

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“…It is one of the most common cancers worldwide and accounts for 22.9% of all cancers (excluding non-melanoma skin cancers) in women. Caused by uncontrolled proliferation of pathological cells, breast cancer results in the formation of malignant tumor [1]. Pathological cells have the potential of spreading to adjacent tissues in hostile consequences for the entire organization.…”

Section: Introductionmentioning

confidence: 99%

Breast Cancer Detection in Mammogram Medical Images with Data Mining Techniques

Kontos

Μaragoudakis

2013

IFIP Advances in Information and Communication Technology

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A domain of interest for data mining applications is the study of biomedical data which, in combination with the field of image processing, provide thorough analysis in order to discover hidden patterns or behavior. Towards this direction, the present paper deals with the detection of breast cancer within digital mammography images. Identification of breast cancer poses several challenges to traditional data mining applications, particularly due to the high dimensionality and class imbalance of training data. In the current approach, genetic algorithms are utilized in an attempt to reduce the feature set to the informative ones and class imbalance issues were also dealt by incorporating a hybrid boosting and genetic sub-sampling approach. As regards to the feature extraction approach, the idea of trainable segmentation is borrowed, using Decision Trees as the base learner. Results show that the best precision and recall rates are achieved by using a combination of Adaboost and k-Nearest Neighbor.

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