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Visualization of Metastatic Lung Cancer with TiNIR
The development of efficient biomarkers and probes for monitoring and treating cancer, specifically metastatic cancer, is a critical research area that can have a significant impact on both patient outcomes and drug discovery. In this context, TiNIR has been developed to detect tumor-initiating cell...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366764/ https://www.ncbi.nlm.nih.gov/pubmed/37489464 http://dx.doi.org/10.3390/tomography9040096 |
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author | Mun, Seul-Ki Sim, Hyun Bo Han, Ji Yeon Kim, Hyeongyeong Park, Dae-Han Chang, Dong-Jo Yee, Sung-Tae Chang, Young-Tae Kim, Jong-Jin |
author_facet | Mun, Seul-Ki Sim, Hyun Bo Han, Ji Yeon Kim, Hyeongyeong Park, Dae-Han Chang, Dong-Jo Yee, Sung-Tae Chang, Young-Tae Kim, Jong-Jin |
author_sort | Mun, Seul-Ki |
collection | PubMed |
description | The development of efficient biomarkers and probes for monitoring and treating cancer, specifically metastatic cancer, is a critical research area that can have a significant impact on both patient outcomes and drug discovery. In this context, TiNIR has been developed to detect tumor-initiating cells (TICs), with heme oxygenase 2 (HO2) as a promising therapeutic biomarker for tumor-initiating cells. In this study, TiNIR has demonstrated its effectiveness as an in vivo metastatic lung cancer tracker, highlighting its potential as a valuable tool in cancer research and therapy. The development of innovative approaches that selectively target metastatic cancers represents a promising avenue for improving survival rates and enhancing the quality of life of cancer patients. |
format | Online Article Text |
id | pubmed-10366764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103667642023-07-26 Visualization of Metastatic Lung Cancer with TiNIR Mun, Seul-Ki Sim, Hyun Bo Han, Ji Yeon Kim, Hyeongyeong Park, Dae-Han Chang, Dong-Jo Yee, Sung-Tae Chang, Young-Tae Kim, Jong-Jin Tomography Communication The development of efficient biomarkers and probes for monitoring and treating cancer, specifically metastatic cancer, is a critical research area that can have a significant impact on both patient outcomes and drug discovery. In this context, TiNIR has been developed to detect tumor-initiating cells (TICs), with heme oxygenase 2 (HO2) as a promising therapeutic biomarker for tumor-initiating cells. In this study, TiNIR has demonstrated its effectiveness as an in vivo metastatic lung cancer tracker, highlighting its potential as a valuable tool in cancer research and therapy. The development of innovative approaches that selectively target metastatic cancers represents a promising avenue for improving survival rates and enhancing the quality of life of cancer patients. MDPI 2023-06-21 /pmc/articles/PMC10366764/ /pubmed/37489464 http://dx.doi.org/10.3390/tomography9040096 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Mun, Seul-Ki Sim, Hyun Bo Han, Ji Yeon Kim, Hyeongyeong Park, Dae-Han Chang, Dong-Jo Yee, Sung-Tae Chang, Young-Tae Kim, Jong-Jin Visualization of Metastatic Lung Cancer with TiNIR |
title | Visualization of Metastatic Lung Cancer with TiNIR |
title_full | Visualization of Metastatic Lung Cancer with TiNIR |
title_fullStr | Visualization of Metastatic Lung Cancer with TiNIR |
title_full_unstemmed | Visualization of Metastatic Lung Cancer with TiNIR |
title_short | Visualization of Metastatic Lung Cancer with TiNIR |
title_sort | visualization of metastatic lung cancer with tinir |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366764/ https://www.ncbi.nlm.nih.gov/pubmed/37489464 http://dx.doi.org/10.3390/tomography9040096 |
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