↓ Skip to main content

Translational Research in Breast Cancer

Overview of attention for book
Cover of 'Translational Research in Breast Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Dawning of Translational Breast Cancer: From Bench to Bedside
  3. Altmetric Badge
    Chapter 2 Biomarker Studies in Early Detection and Prognosis of Breast Cancer
  4. Altmetric Badge
    Chapter 3 The Preventive Intervention of Hereditary Breast Cancer
  5. Altmetric Badge
    Chapter 4 Predicting and Overcoming Chemotherapeutic Resistance in Breast Cancer
  6. Altmetric Badge
    Chapter 5 Studies on DNA Damage Repair and Precision Radiotherapy for Breast Cancer
  7. Altmetric Badge
    Chapter 6 Targeted Therapies Against Growth Factor Signaling in Breast Cancer
  8. Altmetric Badge
    Chapter 7 Targeting Stemness: Implications for Precision Medicine in Breast Cancer
  9. Altmetric Badge
    Chapter 8 Disrupting Tumor Angiogenesis and “the Hunger Games” for Breast Cancer
  10. Altmetric Badge
    Chapter 9 Key Factors in Breast Cancer Dissemination and Establishment at the Bone: Past, Present and Future Perspectives
  11. Altmetric Badge
    Chapter 10 Perspectives of Reprogramming Breast Cancer Metabolism
  12. Altmetric Badge
    Chapter 11 Metabolic Changes During Cancer Cachexia Pathogenesis
  13. Altmetric Badge
    Chapter 12 Cell Cycle Regulation in Treatment of Breast Cancer
  14. Altmetric Badge
    Chapter 13 BRCA Gene Mutations and Poly(ADP-Ribose) Polymerase Inhibitors in Triple-Negative Breast Cancer
  15. Altmetric Badge
    Chapter 14 Targeting the Epigenome as a Novel Therapeutic Approach for Breast Cancer
  16. Altmetric Badge
    Chapter 15 Progress in Vaccine Therapies for Breast Cancer
  17. Altmetric Badge
    Chapter 16 Tumor Associated Macrophages as Therapeutic Targets for Breast Cancer
  18. Altmetric Badge
    Chapter 17 New Approaches in CAR-T Cell Immunotherapy for Breast Cancer
  19. Altmetric Badge
    Chapter 18 Immune Checkpoint Blockade in Breast Cancer Therapy
  20. Altmetric Badge
    Chapter 19 Strategies and Progress of Endocrine Therapy for Patients with Metastatic Breast Cancer
Attention for Chapter 4: Predicting and Overcoming Chemotherapeutic Resistance in Breast Cancer
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
67 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Predicting and Overcoming Chemotherapeutic Resistance in Breast Cancer
Chapter number 4
Book title
Translational Research in Breast Cancer
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-6020-5_4
Pubmed ID
Book ISBNs
978-9-81-106019-9, 978-9-81-106020-5
Authors

Kyung-Hee Chun, Jong Hoon Park, Siting Fan

Abstract

Our understanding of breast cancer and its therapeutic approach has improved greatly due to the advancement of molecular biology in recent years. Clinically, breast cancers are characterized into three basic types based on their immunohistochemical properties. They are triple-negative breast cancer, estrogen receptor (ER) and progesterone receptor (PR)-positive-HR positive breast cancer, and human epidermal growth factor receptor 2 (HER2)-positive breast cancer. Even though these subtypes have been characterized, assessment of a breast cancer's receptor status is still widely used to determine whether or not a targeted therapy could be applied. Moreover, drug resistance is common in all breast cancer types despite the different treatment modalities applied. The development of resistance to different therapeutics is not mutually exclusive. It seems that tumor could be resistant to multiple treatment strategies, such as being both chemoresistant and monoclonal antibody resistant. However, the underlying mechanisms are complicated and need further investigation. In this chapter, we aim to provide a brief review of the different types of breast cancer and their respective treatment strategies. We also review the possible mechanisms of potential drug resistance associated with each treatment type. We believe that a better understanding of the drug resistance mechanisms can lead to a more effective and efficient therapeutic success.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Bachelor 12 18%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 4 6%
Researcher 4 6%
Other 9 13%
Unknown 20 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 21%
Medicine and Dentistry 10 15%
Pharmacology, Toxicology and Pharmaceutical Science 8 12%
Nursing and Health Professions 4 6%
Chemistry 3 4%
Other 4 6%
Unknown 24 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2017.
All research outputs
#20,458,307
of 23,015,156 outputs
Outputs from Advances in experimental medicine and biology
#3,986
of 4,960 outputs
Outputs of similar age
#356,234
of 421,308 outputs
Outputs of similar age from Advances in experimental medicine and biology
#414
of 490 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,960 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,308 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.