Publications by authors named "B Plancoulaine"
Intratumoral heterogeneity of Ki67 proliferation index outperforms conventional immunohistochemistry prognostic factors in estrogen receptor-positive HER2-negative breast cancer.
Virchows Arch
January 2024
Article Synopsis
- * This study applied digital image analysis (DIA) to analyze whole slide images from 254 ER-positive HER2-negative BC patients, focusing on the prognostic value of ITH indicators, particularly using Haralick's texture metrics for Ki67.
- * The findings revealed that Ki67 entropy, which assesses the spatial arrangement of tumor cells, is a significant predictor of BC-specific survival, surpassing the traditional proliferation rate evaluations and highlighting the importance of ITH in prognosis.
Triple-negative breast cancer (TNBC) is particularly challenging due to the weak or absent response to therapeutics and its poor prognosis. The effectiveness of neoadjuvant chemotherapy (NAC) response is strongly influenced by changes in elements of the tumor microenvironment (TME). This work aimed to characterize the residual TME composition in 96 TNBC patients using immunohistochemistry and in situ hybridization techniques and evaluate its prognostic implications for partial responders vs.
View Article and Find Full Text PDFWith a high risk of relapse and death, and a poor or absent response to therapeutics, the triple-negative breast cancer (TNBC) subtype is particularly challenging, especially in patients who cannot achieve a pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). Although the tumor microenvironment (TME) is known to influence disease progression and the effectiveness of therapeutics, its predictive and prognostic potential remains uncertain. This work aimed to define the residual TME profile after NAC of a retrospective cohort with 96 TNBC patients by immunohistochemical staining (cell markers) and chromogenic in situ hybridization (genetic markers).
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- Microstructure studies often struggle with the challenges of microscope lighting, which needs to enhance biological features while avoiding distortion effects.
- This paper presents a new technique to improve lighting by focusing on joint computation of phase and irradiance rather than using models based on virtual light rays.
- The study aims to enhance the analysis of biological microstructures while providing additional insights into the computational methods for studying complex arrangements in biological tissues.
Article Synopsis
- The study aims to create a new automated method for quantifying protein biomarkers in high-grade serous ovarian tumors (HGSOC), focusing on a more universal approach rather than arbitrary thresholds.
- It analyzes a small group of 25 HGSOC cases, calibrating algorithms with expert Stereology analyses to assess immunohistochemical staining in tumor samples.
- Results indicate a strong correlation between expert assessments and automated image processing, which enhanced understanding of staining heterogeneity and could improve pathologists' decision-making in treatment options.