Abstract
The Caspase14 (CASP14) was reported that the low expression of CASP14 in ovarian cancer and colon cancer was associated with cancer progression, on the other hand, that the CASP14 expression in breast cancer was higher than that of non-cancerous tissues. The purpose of this study is to determine the clinical significance of CASP14 in breast cancer. We performed immunohistochemistry for CASP14, ER, PgR, HER2, Ki67, EGFR, CK5/6, CD44, CD24, ALDH1, claudins, and androgen receptor in 222 breast cancer patients including 55 TNBC cases, and evaluated the relationship of CASP14, above-mentioned markers, and prognosis. Using public microarray database of breast cancer, the prognostic value of CASP14 was calculated. High CASP14 expression was significantly associated with TNBC subtype (P = 0.015), nuclear grade (P = 0.006), Ki67, EGFR (P < 0.001, P = 0.016), ALDH1, CD44 and CD24 (P < 0.001, P < 0.001, P = 0.001) in 222 breast cancer cases, and the high expression of claudin1 (P = 0.017), and androgen receptor (P = 0.002) in TNBC cases was related to the high CASP14. According to the public database, survival in the high CASP14 breast cancer patients was shorter than low CASP14 patients. High CASP14 expression is a marker of breast cancer aggressiveness in association with proliferation, TNBC phenotype, and cancer stemness.
Keywords
CASP14
luminal androgen receptor
stem cell marker
therapeutic target
triple negative breast cancer
MeSH Terms
Caspases/biosynthesis,genetics
Cell Line, Tumor
Female
Humans
Immunohistochemistry
MCF-7 Cells
Middle Aged
Neoplastic Stem Cells/metabolism,pathology
Phenotype
Triple Negative Breast Neoplasms/enzymology,genetics,pathology
Chemicals
CASP14 protein, human
Caspases
Authors & Affiliations
15 authors, click to expand affiliations / ORCID
Handa Tadashi
ORCID
Department of Diagnostic Pathology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Katayama Ayaka
Department of Diagnostic Pathology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Yokobori Takehiko
Research Program for Omics-Based Medical Science, Division of Integrated Oncology Research, Gunma University Initiative for Advanced Research (GIAR), Maebashi, Japan.
Yamane Arito
Department of Molecular Pharmacology and Oncology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Horiguchi Jun
Integrative Center of General Surgery, Gunma University Hospital, Maebashi, Japan.
Kawabata-Iwakawa Reika
Department of Molecular Pharmacology and Oncology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Rokudai Susumu
Department of Molecular Pharmacology and Oncology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Bao Pinjie
Department of General Surgical Science, Graduate School of Medicine, Gunma University, Maebashi, Japan.
Gombodorj Navchaa
Department of Molecular Pharmacology and Oncology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Altan Bolag
Department of Oncology Clinical Development, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Kaira Kyoichi
Department of Oncology Clinical Development, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Asao Takayuki
Big Data Center for Integrative Analysis, Gunma University Initiative for Advance Research (GIAR), Maebashi, Japan.
Kuwano Hiroyuki
Integrative Center of General Surgery, Gunma University Hospital, Maebashi, Japan.
Nishiyama Masahiko
Research Program for Omics-Based Medical Science, Division of Integrated Oncology Research, Gunma University Initiative for Advanced Research (GIAR), Maebashi, Japan. | Department of Molecular Pharmacology and Oncology, Gunma University, Graduate School of Medicine, Maebashi, Japan.
Oyama Tetsunari
Department of Diagnostic Pathology, Gunma University, Graduate School of Medicine, Maebashi, Japan.