Cancer Research and Treatment

Original Articles

Breast cancer

A 10-Gene Signature to Predict the Prognosis of Early-Stage Triple-Negative Breast Cancer: Chang Min Kim, Kyong Hwa Park, Yun Suk Yu, Ju Won Kim, Jin Young Park, Kyunghee Park, Jong-Han Yu, Jeong Eon Lee, Sung Hoon Sim, Bo Kyoung Seo, Jin Kyeoung Kim, Eun Sook Lee, Yeon Hee Park, Sun-Young Kong; Cancer Res Treat. 2024;56(4):1113-1125. Published online May 10, 2024; DOI: https://doi.org/10.4143/crt.2024.100

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Purpose
Triple-negative breast cancer (TNBC) is a particularly challenging subtype of breast cancer, with a poorer prognosis compared to other subtypes. Unfortunately, unlike luminal-type cancers, there is no validated biomarker to predict the prognosis of patients with early-stage TNBC. Accurate biomarkers are needed to establish effective therapeutic strategies.
Materials and Methods
In this study, we analyzed gene expression profiles of tumor samples from 184 TNBC patients (training cohort, n=76; validation cohort, n=108) using RNA sequencing.
Results
By combining weighted gene expression, we identified a 10-gene signature (DGKH, GADD45B, KLF7, LYST, NR6A1, PYCARD, ROBO1, SLC22A20P, SLC24A3, and SLC45A4) that stratified patients by risk score with high sensitivity (92.31%), specificity (92.06%), and accuracy (92.11%) for invasive disease-free survival. The 10-gene signature was validated in a separate institution cohort and supported by meta-analysis for biological relevance to well-known driving pathways in TNBC. Furthermore, the 10-gene signature was the only independent factor for invasive disease-free survival in multivariate analysis when compared to other potential biomarkers of TNBC molecular subtypes and T-cell receptor β diversity. 10-gene signature also further categorized patients classified as molecular subtypes according to risk scores.
Conclusion
Our novel findings may help address the prognostic challenges in TNBC and the 10-gene signature could serve as a novel biomarker for risk-based patient care.

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Significance of Multi-Cancer Genome Profiling Testing for Breast Cancer: A Retrospective Analysis of 3326 Cases from Japan’s National Database
Kyoka Kawabata, Hinano Nishikubo, Saki Kanei, Rika Aoyama, Yuki Tsukada, Tomoya Sano, Daiki Imanishi, Takashi Sakuma, Koji Maruo, Yurie Yamamoto, Qiang Wang, Zhonglin Zhu, Canfeng Fan, Masakazu Yashiro
Genes.2024; 15(6): 792. CrossRef

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Androgen Receptor as a Predictive Marker for Pathologic Complete Response in Hormone Receptor–Positive and HER-2–Negative Breast Cancer with Neoadjuvant Chemotherapy: Eun-Gyeong Lee, Dong-Eun Lee, Hyun hee Kim, Jai Hong Han, Seeyoun Lee, Han-Sung Kang, Eun Sook Lee, Heejung Chae, Sung Hoon Sim, Keun Seok Lee, Youngmee Kwon, So-Youn Jung; Cancer Res Treat. 2023;55(2):542-550. Published online September 8, 2022; DOI: https://doi.org/10.4143/crt.2022.834

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study investigated pathological complete response (pCR) according to androgen receptor (AR) in breast cancer patients undergoing neoadjuvant chemotherapy and estimated the relationship between AR expression and clinicopathological factors.
Materials and Methods
We identified 624 breast cancer patients who underwent surgery after neoadjuvant chemotherapy at the National Cancer Center in Goyang, Korea from April 2016 to October 2019. We retrospectively collected the clinicopathologic information and AR expression results and analyzed the data according to cancer stage, hormonal receptor (HR) status, human epidermal growth factor receptor 2 (HER2) status, tumor subtype, and pCR.
Results
Among the 624 breast cancer patients, 529 (84.8%) were AR-positive (AR+) patients and 95 (15.2%) were AR-negative (AR–) patients. AR+ patients showed more estrogen receptor (ER) positivity, progesterone receptor (PR) positivity, HER2-positivity, and HR-positive and HER2-negative (HR+/HER2–) subtype. The rate of pCR was 31.4% (196/624). AR– patients had a significantly higher rate of pCR than AR+ patients (AR– 43.2% vs. AR+ 29.3%, p=0.007). The tumor factors associated with pCR were early stage, histologic grade 3, ER-negative, PR-negative, AR-negative, HER2-positive, and high Ki-67 values. In univariable analysis, AR+ significantly decreased the state of pCR (odds ratio, 0.546; 95% confidence interval, 0.349 to 0.853; p=0.008). According to tumor subtype, AR– tumor showed higher pCR rate in HR+/HER2– subtype (AR– 28.6% vs. AR+ 7.3%, p=0.022).
Conclusion
AR expression is predominant in the HR+/HER2– subtype. AR– is significantly associated with the pCR rate in breast cancer patients, especially within HR+/HER2– subtype. When determining neoadjuvant chemotherapy for the HR+/HER2– subtype, AR expression can be considered as a pCR predictive marker.

Citations

Citations to this article as recorded by

The prevalence and clinical significance of residual occult breast cancer after neoadjuvant chemotherapy: reassessing surgical pathology in cases initially described as pathological complete response
Di Ai, Eliel N Arrey, Lauren M Postlewait, Yuan Gao, Xiaoxian Li
Histopathology.2025; 86(7): 1112. CrossRef
Neo-adjuvant therapies for ER positive/HER2 negative breast cancers: from chemotherapy to hormonal therapy, CDK inhibitors, and beyond
Athina Stravodimou, Ioannis A. Voutsadakis
Expert Review of Anticancer Therapy.2024; 24(3-4): 117. CrossRef
Luminal androgen receptor subtype and tumor-infiltrating lymphocytes groups based on triple-negative breast cancer molecular subclassification
Miseon Lee, Tae-Kyung Yoo, Byung Joo Chae, Ahwon Lee, Yoon Jin Cha, Jieun Lee, Sung Gwe Ahn, Jun Kang
Scientific Reports.2024;[Epub] CrossRef
Evaluating the Clinico-Pathological Relationship Between Stromal Tumor-Infiltrating Lymphocytes and Androgen Receptor Expression Across Molecular Subtypes of Invasive Breast Carcinoma
Adil Aziz Khan, Sana Ahuja, Kiruthikasri G., Sufian Zaheer
Indian Journal of Surgical Oncology.2024; 15(4): 802. CrossRef
Biomarkers and translational research approaches in breast cancer—an update
Angelika M. Starzer, Anna S. Berghoff, Rupert Bartsch
memo - Magazine of European Medical Oncology.2023; 16(1): 42. CrossRef
Evaluation of predictive and prognostic value of androgen receptor expression in breast cancer subtypes treated with neoadjuvant chemotherapy
Zhendong Shi, Yingxue Liu, Shichao Zhang, Shuanglong Cai, Xu Liu, Jie Meng, Jin Zhang
Discover Oncology.2023;[Epub] CrossRef

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Special Articles

Guidelines for Cancer Care during the COVID-19 Pandemic in South Korea: Jii Bum Lee, Minkyu Jung, June Hyuk Kim, Bo Hyun Kim, Yeol Kim, Young Seok Kim, Byung Chang Kim, Jin Kim, Sung Ho Moon, Keon-Uk Park, Meerim Park, Hyeon Jin Park, Sung Hoon Sim, Hong Man Yoon, Soo Jung Lee, Eunyoung Lee, June Young Chun, Youn Kyung Chung, So-Youn Jung, Jinsoo Chung, Eun Sook Lee, Hyun Cheol Chung, Tak Yun, Sun Young Rha; Cancer Res Treat. 2021;53(2):323-329. Published online March 15, 2021; DOI: https://doi.org/10.4143/crt.2020.1256

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