Estrogen and progesterone receptor testing in breast cancer: ASCO/CAP guideline update
KH Allison, MEH Hammond, M Dowsett… - Journal of Clinical …, 2020 - ascopubs.org
PURPOSE To update key recommendations of the American Society of Clinical
Oncology/College of American Pathologists estrogen (ER) and progesterone receptor (PgR) …
Oncology/College of American Pathologists estrogen (ER) and progesterone receptor (PgR) …
Estrogen and progesterone receptor testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists guideline update
KH Allison, MEH Hammond… - … of pathology & …, 2020 - meridian.allenpress.com
Purpose.—To update key recommendations of the American Society of Clinical
Oncology/College of American Pathologists estrogen receptor (ER) and progesterone …
Oncology/College of American Pathologists estrogen receptor (ER) and progesterone …
[HTML][HTML] Concordance of HER2-low scoring in breast carcinoma among expert pathologists in the United Kingdom and the republic of Ireland–on behalf of the UK …
M Zaakouk, C Quinn, E Provenzano, C Boyd, G Callagy… - The Breast, 2023 - Elsevier
Background Recent clinical evidence showed that breast cancer with low HER2 expression
levels responded to trastuzumab deruxtecan therapy. The HER2-low cancers comprise …
levels responded to trastuzumab deruxtecan therapy. The HER2-low cancers comprise …
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
JR Fischer, HW Jackson, N de Souza, Z Varga… - Cell Reports …, 2023 - cell.com
Although breast cancer mortality is largely caused by metastasis, clinical decisions are
based on analysis of the primary tumor and on lymph node involvement but not on the …
based on analysis of the primary tumor and on lymph node involvement but not on the …
[HTML][HTML] Machine learning techniques for breast cancer diagnosis and treatment: a narrative review
M Sugimoto, S Hikichi, M Takada… - Annals of Breast …, 2023 - abs.amegroups.org
Objective: This narrative review describes the recent developments and applications of
machine learning (ML), a part of artificial intelligence, concerning breast cancer …
machine learning (ML), a part of artificial intelligence, concerning breast cancer …
Incorporating biology into breast cancer staging: American Joint Committee on Cancer, revisions and beyond
EA Mittendorf, JMS Bartlett, DL Lichtensztajn… - American Society of …, 2018 - ascopubs.org
Higher-quality imaging, refined surgical procedures, enhanced pathologic evaluation, and
improved understanding of the impact of tumor biology on treatment and prognosis have …
improved understanding of the impact of tumor biology on treatment and prognosis have …
Comparison of immunohistochemistry and RT-qPCR for assessing ER, PR, HER2, and Ki67 and evaluating subtypes in patients with breast cancer
L Chen, Y Chen, Z Xie, J Luo, Y Wang, J Zhou… - Breast Cancer Research …, 2022 - Springer
Purpose Currently, the most commonly applied method for the determination of breast
cancer subtypes is to test estrogen receptor (ER), progesterone receptor (PR), human …
cancer subtypes is to test estrogen receptor (ER), progesterone receptor (PR), human …
[HTML][HTML] Performance characteristics of the BluePrint® breast cancer diagnostic test
L Mittempergher, LJMJ Delahaye, AT Witteveen… - Translational …, 2020 - Elsevier
The analytical performance of a multi-gene diagnostic signature depends on many
parameters, including precision, repeatability, reproducibility and intra-tumor heterogeneity …
parameters, including precision, repeatability, reproducibility and intra-tumor heterogeneity …
[HTML][HTML] ESR1, PGR, ERBB2, and MKi67 mRNA expression in postmenopausal women with hormone receptor-positive early breast cancer: results from ABCSG Trial …
M Filipits, M Rudas, CF Singer, F Fitzal… - ESMO open, 2021 - Elsevier
Background The purpose of this study was to assess the concordance of real-time
quantitative reverse transcription polymerase chain reaction (RT-qPCR) detection of ESR1 …
quantitative reverse transcription polymerase chain reaction (RT-qPCR) detection of ESR1 …
[HTML][HTML] Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays
Multi-gene assays have been widely used to predict the recurrence risk for hormone
receptor (HR)-positive breast cancer patients. However, these assays lack explanatory …
receptor (HR)-positive breast cancer patients. However, these assays lack explanatory …