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Takahashi I, Takagi K, Yamaguchi-Tanaka M, Sato A, Sato M, Miki Y, Ito A, Suzuki T. Toll-like receptor (TLR) 4 is a potent prognostic factor in prostate cancer associated with proliferation and invasion. Pathol Res Pract 2024; 260:155379. [PMID: 38850876 DOI: 10.1016/j.prp.2024.155379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 05/28/2024] [Indexed: 06/10/2024]
Abstract
Prostate cancer is one of the most common malignancies in men, and there is a need to explore novel biomarkers or therapeutic targets. Toll-like receptor 4 (TLR4) is expressed not only in antigen-presenting cells but also types of human malignancies, contributing to disease progression, although its clinical significance or functional role in prostate cancer remains unclear. Therefore, we immunolocalized TLR4 in 117 prostate cancer tissues to address its clinicopathological significance. Additionally, we performed in vitro assays to examine the effects of TLR4 on proliferation and migration of prostate cancer cell lines (LNCaP, DU-145 and PC-3). TLR4 immunoreactivity was predominantly detected in the cytoplasm of prostate cancer cells, and it was positively associated with proliferation and invasion abilities, as well as Gleason score. Subsequent in vitro experiments revealed that the inhibition of TLR4 by Sparstolonin B (SsnB) significantly suppressed the proliferation and migration of LNCaP, DU-145 and PC-3 cells. Therefore, we concluded that TLR4 was a potent prognostic factor associated with proliferation and invasion, and it might serve as a therapeutic target in prostate cancer.
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Affiliation(s)
- Iku Takahashi
- Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan
| | - Kiyoshi Takagi
- Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan.
| | - Mio Yamaguchi-Tanaka
- Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan; Department of Personalized Medicine Center, Tohoku University Hospital, Sendai, Miyagi 980-8575, Japan
| | - Ai Sato
- Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan
| | - Masahiko Sato
- Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan
| | - Yasuhiro Miki
- Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan
| | - Akihiro Ito
- Department of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan
| | - Takashi Suzuki
- Department of Pathology and Histotechnology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan; Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8575, Japan; Department of Pathology, Tohoku University Hospital, Sendai, Miyagi 980-8575, Japan
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Yamaguchi-Tanaka M, Takagi K, Miki Y, Sato A, Iwabuchi E, Miyashita M, Suzuki T. The Pro-Tumorigenic Role of Chemotherapy-Induced Extracellular HSP70 from Breast Cancer Cells via Intratumoral Macrophages. Cancers (Basel) 2023; 15:cancers15061903. [PMID: 36980788 PMCID: PMC10047178 DOI: 10.3390/cancers15061903] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 03/30/2023] Open
Abstract
Tumor-associated macrophages (TAMs) contribute to tumor progression and chemoresistance; it is therefore important to clarify the altered functions of macrophages following chemotherapy. While extracellular heat shock protein (HSP) 70 is associated with therapeutic resistance, the effects of HSP70 on TAMs remain largely unknown. Here, we conducted in vitro experiments and immunohistochemistry in 116 breast carcinoma specimens to determine whether the secretion of HSP70 from breast cancer cells following chemotherapy affects macrophage function. It was revealed that the interaction of epirubicin (EPI)-exposed breast cancer cells with macrophages enhanced tumor progression, and EPI promoted the secretion of extracellular HSP70 from breast cancer cells. The expression of pro-tumorigenic macrophage marker CD163 was decreased in macrophages treated with a conditioned medium (CM) from HSP70-silenced breast cancer cells. Breast cancer cells treated with CM from HSP70-silenced breast cancer cells showed decreased expression of transforming growth factor (TGF)-β, and the pro-tumorigenic effects of macrophages were impaired when TGF-β signaling was inhibited. Immunohistochemistry demonstrated that HSP70 served as a poor prognostic factor in conjunction with macrophage infiltration. It was therefore concluded that extracellular HSP70 levels increased following chemotherapy and enhanced the pro-tumorigenic effects of TAMs, either directly or indirectly, by regulating TGF-β expression in breast cancer cells.
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Affiliation(s)
- Mio Yamaguchi-Tanaka
- Department of Pathology and Histotechnology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Kiyoshi Takagi
- Department of Pathology and Histotechnology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Yasuhiro Miki
- Department of Nursing, Faculty of Medical Science & Welfare, Tohoku Bunka Gakuen University, Sendai 981-8551, Japan
| | - Ai Sato
- Department of Pathology and Histotechnology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Erina Iwabuchi
- Department of Pathology and Histotechnology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Minoru Miyashita
- Department of Breast and Endocrine Surgical Oncology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Takashi Suzuki
- Department of Pathology and Histotechnology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
- Department of Anatomic Pathology, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
- Department of Pathology, Tohoku University Hospital, Sendai 980-8574, Japan
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Huang G, Cao H, Liu G, Chen J. Role of androgen receptor signaling pathway-related lncRNAs in the prognosis and immune infiltration of breast cancer. Sci Rep 2022; 12:20631. [PMID: 36450882 PMCID: PMC9712677 DOI: 10.1038/s41598-022-25231-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Androgen receptor (AR) is strong association with breast cancer (BRCA). We aimed to investigate the effect of the androgen receptor signaling pathway-related long non-coding RNAs (ARSP-related lncRNAs) on the process of subtype classification and the tumor microenvironment (TME) of breast cancer (BRCA). Our study screen ARSP-related lncRNAs for the construction of a risk model. The single-sample gene set enrichment analysis (ssGSEA) method was used to detect the differences between the immune responses generated by the patients belonging to the low- and high-risk groups. The relationship between the ARSP-related lncRNAs and TME was explored following the process of cluster analysis. The univariate Cox analysis and the Lasso regression analysis method was used to screen nine of these lncRNAs to develop a risk model. It was observed that risk score could function as an independent prognostic factor, affecting the prognoses of patients suffering from BRCA. The validity of the model was assessed by analyzing the generated calibration curves and a nomogram. Additionally, the effect of the risk score on the extent of immune cell infiltration realized in TME was explored. M2 macrophages correlated positively, whereas NK cells, CD4+ T cells, and naive B cells correlated negatively with the risk score. Results obtained using the cluster analysis indicated that immune scores correlated with clustered subtypes. Finally, the risk score and cluster subtypes were analyzed to study the sensitivity of the patients toward different drugs to identify the appropriate therapeutic agents. The prognoses of patients suffering from BRCA can be accurately predicted by ARSP-related lncRNAs.
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Affiliation(s)
- Guo Huang
- grid.412017.10000 0001 0266 8918Hengyang Medical School, University of South China, Hengyang, 421001 Hunan People’s Republic of China ,grid.412017.10000 0001 0266 8918Key Laboratory of Tumor Cellular and Molecular Pathology, College of Hunan Province, Cancer Research Institute, University of South China, Hengyang, 421001 Hunan People’s Republic of China ,grid.413432.30000 0004 1798 5993Department of Breast and Thyroid Surgery, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001 Hunan China
| | - Hong Cao
- grid.413432.30000 0004 1798 5993Department of Breast and Thyroid Surgery, Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001 Hunan China
| | - Guowen Liu
- grid.452847.80000 0004 6068 028XDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital, Shenzhen, 518035 Guangdong China
| | - Juan Chen
- grid.412017.10000 0001 0266 8918Department of Radiotherapy, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001 Hunan China
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Yamaguchi M, Sasaki T, Uemura K, Tajima Y, Kato S, Takagi K, Yamazaki Y, Saito-Koyama R, Inoue C, Kawaguchi K, Soma T, Miyata T, Suzuki T. Automatic breast carcinoma detection in histopathological micrographs based on Single Shot Multibox Detector. J Pathol Inform 2022; 13:100147. [PMID: 36268083 PMCID: PMC9577133 DOI: 10.1016/j.jpi.2022.100147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 12/24/2022] Open
Abstract
Background A diagnosis with histological classification by pathologists is very important for appropriate treatments to improve the prognosis of patients with breast cancer. However, the number of pathologists is limited, and assisting the pathological diagnosis by artificial intelligence becomes very important. Here, we presented an automatic breast lesions detection model using microscopic histopathological images based on a Single Shot Multibox Detector (SSD) for the first time and evaluated its significance in assisting the diagnosis. Methods We built the data set and trained the SSD model with 1361 microscopic images and evaluated using 315 images. Pathologists and medical students diagnosed the images with or without the assistance of the model to investigate the significance of our model in assisting the diagnosis. Results The model achieved 88.3% and 90.5% diagnostic accuracies in 3-class (benign, non-invasive carcinoma, or invasive carcinoma) or 2-class (benign or malignant) classification tasks, respectively, and the mean intersection over union was 0.59. Medical students achieved a remarkably higher diagnostic accuracy score (average 84.7%) with the assistance of the model compared to those without assistance (average 67.4%). Some people diagnosed images in a short time using the assistance of the model (shorten by average 6.4 min) while others required a longer time (extended by 7.2 min). Conclusion We presented the automatic breast lesions detection method at high speed using histopathological micrographs. The present system may conveniently support the histological diagnosis by pathologists in laboratories.
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