Aims: The proliferation factor Ki67 is prognostic in breast cancer and included in international therapy guidelines, but measurement procedures differ between laboratories. We compared the reproducibility and prognostic value of different Ki67 sampling and measurement methods.
Methods And Results: In 237 T(1,2) N(0) M(0) breast cancers without adjuvant systemic treatment, strictly standardized section thickness, automated antigen retrieval and immunohistochemistry were used. The percentages of Ki67-positive nuclei were assessed using (i) a 'quick-scan rapid estimate', (ii) ocular-square-guided counts by independent pathologists, (iii) computerized point-grid-sampling interactive morphometry (CIM) and (iv) automated digital image analysis (DIA). Quick-scan rapid estimates were poorly reproducible. The optimal prognostic thresholds of Ki67 counts by two pathologists differed greatly (4%, 14%; kappa: 0.36), with many therapeutic differences. CIM-Ki67 and DIA-Ki67 were strongly prognostic (P<0.0001) and reproducible. DIA-Ki67 (threshold: 6.5%) was the strongest and most robust prognosticator (the threshold could vary from 4 to 15% without significant prognostic loss). Ki67 was prognostically strongest in the periphery of the tumour.
Conclusion: In node-negative breast cancer without adjuvant systemic treatment, Ki67% by DIA, but not subjective counts, is reproducible and prognostically strong. This casts serious doubt on therapeutic guidelines using subjective counts of Ki67.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1365-2559.2012.04329.x | DOI Listing |
Cancer Cell Int
December 2024
Department of Ultrasound, Chongqing General Hospital, Chongqing University, Chongqing, 401147, China.
Gas therapy represents a promising strategy for cancer treatment, with nitric oxide (NO) therapy showing particular potential in tumor therapy. However, ensuring sufficient production of NO remains a significant challenge. Leveraging ultrasound-responsive nanoparticles to promote the release of NO is an emerging way to solve this challenge.
View Article and Find Full Text PDFClin Breast Cancer
December 2024
MKA Breast Cancer Clinic, Tepe Prime, Ankara, Turkey. Electronic address:
Trends Mol Med
December 2024
Cancer Signaling and Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA. Electronic address:
Genetic and epigenetic defects of the p53 system have previously been associated with resistance to CDK4/6 inhibitors in women with HR breast cancer. Recent data from Kudo et al. demonstrate that CDK2-targeting agents may offer an effective strategy to circumvent such resistance by enforcing cellular senescence downstream of RBL2 dephosphorylation.
View Article and Find Full Text PDFSci Bull (Beijing)
December 2024
Breast Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China. Electronic address:
Am J Pathol
December 2024
Department of Computer Science, Faculty of Engineering Sciences, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Understanding the tumor hypoxic microenvironment is crucial for grasping tumor biology, clinical progression, and treatment responses. This study presents a novel application of AI in computational histopathology to evaluate hypoxia in breast cancer. Weakly Supervised Deep Learning (WSDL) models can accurately detect morphological changes associated with hypoxia in routine Hematoxylin and Eosin (H&E) whole slide images (WSI).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!