收藏切换
Research progress in efficacy prediction of neoadjuvant chemotherapy for triple negative breast cancer
收藏切换
PDF
Jia-Xu Huang1, 2, Kai-Yuan Huang1, He-Xing Sun1, Yuan-Ke Liang1, Hao-Yu Lin1, *
Medical Journal of Chinese People’s Liberation Army | 2023, 48(6) : 729 - 734
Less
收藏切换
Medical Journal of Chinese People’s Liberation Army | 2023, 48(6): 729-734
Review
Research progress in efficacy prediction of neoadjuvant chemotherapy for triple negative breast cancer
Full
Jia-Xu Huang1, 2, Kai-Yuan Huang1, He-Xing Sun1, Yuan-Ke Liang1, Hao-Yu Lin1, *
Affiliations
  • 1Department of Thyroid and Breast Surgery/Clinical Research Center, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
  • 2Department of Breast Surgery, Jieyang People's Hospital, Jieyang, Guangdong 522000, China
Published: 2023-06-28 doi: 10.11855/j.issn.0577-7402.2023.06.0729
Outline
收藏切换

Chemotherapy is the main treatment for triple-negative breast cancer (TNBC) due to the lack of effective targeted therapy. At present, neoadjuvant chemotherapy (NAC) is one of the standard treatment strategies. However, the response of patients to NAC is different, and how to identify effective or resistant individuals before treatment is an urgent clinical problem to be solved. The research progress on the prediction of NAC response for TNBC has many aspects, including imageomics, tumor immunology and genomics. Combining different factors to build a prediction model can better improve the prediction efficiency. With the development of gene detection technology, single-cell sequencing technology can exclude the influence of non-tumor cells in tumor microenvironment, accurately determine tumor subtypes, reveal drug resistance mechanisms, and may be applied to NAC in the future to improve the accuracy of prediction. This article reviews the latest research progress in predicting the efficacy of TNBC NAC.

triple negative breast cancer  /  neo-adjuvant chemotherapy  /  curative effect prediction  /  single cell sequencing
Jia-Xu Huang, Kai-Yuan Huang, He-Xing Sun, Yuan-Ke Liang, Hao-Yu Lin. Research progress in efficacy prediction of neoadjuvant chemotherapy for triple negative breast cancer[J]. Medical Journal of Chinese People’s Liberation Army, 2023 , 48 (6) : 729 -734 . DOI: 10.11855/j.issn.0577-7402.2023.06.0729
  • Youth Program of National Natural Science Foundation of China(82102948)
  • Natural Science Foundation of Guangdong Province(2021A1515012178)
  • Special Fund for Science and Technology of Guangdong Province(210715106900933)
  • Interdisciplinary Project of Li-Ka-Shing Foundation(2020LKSFG05C)
Year 2023 volume 48 Issue 6
PDF
246
106
Cite this Article
BibTeX
Article Info
doi: 10.11855/j.issn.0577-7402.2023.06.0729
  • Receive Date:2021-10-26
  • Online Date:2025-12-03
  • Published:2023-06-28
Article Data
Affiliations
History
  • Received:2021-10-26
  • Accepted:2021-12-13
Funding
Youth Program of National Natural Science Foundation of China(82102948)
Natural Science Foundation of Guangdong Province(2021A1515012178)
Special Fund for Science and Technology of Guangdong Province(210715106900933)
Interdisciplinary Project of Li-Ka-Shing Foundation(2020LKSFG05C)
Affiliations
    1Department of Thyroid and Breast Surgery/Clinical Research Center, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China
    2Department of Breast Surgery, Jieyang People's Hospital, Jieyang, Guangdong 522000, China

Corresponding:

References
Share
https://castjournals.cast.org.cn/joweb/jfjyxzz/EN/10.11855/j.issn.0577-7402.2023.06.0729
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT