Reporting Hormone Receptor Expression in Breast Carcinomas: Which Method has the Highest Prognostic Power and What Should be the Optimal Cut-off Value?

<b><i>Background</i></b>.Hormone receptor (HR) expression is a critical marker that plays a role in the treatment and management of breast cancer. Even if patients receive hormone treatment with a hormone positivity rate of over 1%, it is controversial at what level of positivity they benefit from treatment and contribute positively to their prognosis.<b><i>Methods</i></b>.We retrospectively examined the estrogen receptor (ER) / progesterone receptor (PR) expression status, clinicopathological findings, and survival data of 386 patients who underwent surgery for breast cancer. ER/PR expressions of the patients were evaluated according to Allred, H-score and were also grouped according to staining percentages. Separate cut-off values were determined for each of these evaluation methods, and the prognostic power of these methods was investigated using receiver operating characteristic analysis.<b><i>Results</i></b>.The prognostic power of all methods was found to be similar in terms of predicting survival. According to the staining percentage of the patients, survival was excellent if the ER value was >80% and the PR value was >1%.<b><i>Conclusions</i></b>.All recommended methods for reporting HRs have similar prognostic power. However, in patients with high percentage staining for ER using these methods, the prognosis is excellent. As a result, we predict that if the percentage of ER staining is low, changing the treatment management of patients may be considered clinically.

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Journal
International Journal of Surgical Pathology
Published
2024-09-08
DOI
https://doi.org/10.1177/10668969241265068
Citations
2
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.57
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article

Reporting Hormone Receptor Expression in Breast Carcinomas: Which Method has the Highest Prognostic Power and What Should be the Optimal Cut-off Value?

Oğuzhan Okçu, Çiğdem Öztürk, Bayram Şen, Seda Duman Öztürk et al.
2 citations
International Journal of Surgical Pathology
Breast Cancer Treatment Studies
0.57
article

Reporting Hormone Receptor Expression in Breast Carcinomas: Which Method has the Highest Prognostic Power and What Should be the Optimal Cut-off Value?

Oğuzhan Okçu, Çiğdem Öztürk, Bayram Şen, Seda Duman Öztürk, Recep Bedir, Ahmet Emin Öztürk
article en
2 citations

Abstract

<b><i>Background</i></b>.Hormone receptor (HR) expression is a critical marker that plays a role in the treatment and management of breast cancer. Even if patients receive hormone treatment with a hormone positivity rate of over 1%, it is controversial at what level of positivity they benefit from treatment and contribute positively to their prognosis.<b><i>Methods</i></b>.We retrospectively examined the estrogen receptor (ER) / progesterone receptor (PR) expression status, clinicopathological findings, and survival data of 386 patients who underwent surgery for breast cancer. ER/PR expressions of the patients were evaluated according to Allred, H-score and were also grouped according to staining percentages. Separate cut-off values were determined for each of these evaluation methods, and the prognostic power of these methods was investigated using receiver operating characteristic analysis.<b><i>Results</i></b>.The prognostic power of all methods was found to be similar in terms of predicting survival. According to the staining percentage of the patients, survival was excellent if the ER value was >80% and the PR value was >1%.<b><i>Conclusions</i></b>.All recommended methods for reporting HRs have similar prognostic power. However, in patients with high percentage staining for ER using these methods, the prognosis is excellent. As a result, we predict that if the percentage of ER staining is low, changing the treatment management of patients may be considered clinically.

International Journal of Surgical PathologyVol. 33(2)
Recep Tayyip Erdoğan University (TR), Sağlık Bilimleri Üniversitesi (TR), Universidad CES (CO), Kocaeli Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 32%
Breast Cancer Treatment Studies
0.57
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