Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kayo Hiyama is active.

Publication


Featured researches published by Kayo Hiyama.


Gynecologic Oncology | 2013

Detection of sentinel lymph node metastases in cervical cancer: Assessment of KRT19 mRNA in the one-step nucleic acid amplification (OSNA) method

Satoshi Okamoto; Hitoshi Niikura; Kadzuki Nakabayashi; Kayo Hiyama; Maki Matoda; Nobuhiro Takeshima; Mika Watanabe; Satoru Nagase; Takeo Otsuki; Nobuo Yaegashi

OBJECTIVE The purpose of this study was to examine the utility of the one-step nucleic acid amplification (OSNA) assay using cytokeratin (CK) 19 (KRT19) messenger RNA (mRNA) for the detection of sentinel lymph node (SLN) metastases in cervical cancer patients. METHODS To determine a cutoff value, KRT19 mRNA was assessed by OSNA assay using 239 lymph nodes (LNs) (217 histopathologically negative LNs and 22 positive LNs). A cutoff value was determined by statistical analysis of the copy numbers obtained by OSNA assay. Subsequently, performance evaluation of the OSNA assay (applying the cutoff value above) on 130 SLNs (32 patients) was used to investigate (through concordance) whether the OSNA assay exhibited diagnostic performance equivalent to the two-mm interval histopathological examination. RESULTS Two hundred fifty copies/μL of KRT19 mRNA in the OSNA assay appeared to be an optimal cutoff value. In performance evaluation of the OSNA assay, we identified five positive SLNs and 125 negative SLNs by OSNA assay using KRT19 mRNA, exhibiting 96.2% agreement with two-mm interval histopathological examination. CONCLUSIONS Our results indicated that the KRT19 mRNA OSNA assay can detect LN metastases as accurately as two-mm interval histopathological examination and thus may be an effective additional or alternative method for a rapid intra-operative examination of SLNs in cervical cancer.


Lung Cancer | 2012

An accurate and rapid detection of lymph node metastasis in non-small cell lung cancer patients based on one-step nucleic acid amplification assay

Masayoshi Inoue; Kayo Hiyama; Kadzuki Nakabayashi; Eiichi Morii; Masato Minami; Noriyoshi Sawabata; Yasushi Shintani; Tomoyuki Nakagiri; Yoshiyuki Susaki; Jun Maeda; Masahiko Higashiyama; Jiro Okami; Yuichiro Yoshida; Junyi Ding; Yasuhiro Otomo; Meinoshin Okumura

A sublobar resection is currently recognized as an option for early small-sized non-small cell lung cancer (NSCLC), and intraoperative rapid and accurate lymph node assessment is required for a complete resection. To solve this issue, we investigated the clinical utility of one-step nucleic acid amplification (OSNA) assay, an automated rapid molecular diagnostic method and its optimal mRNA marker for detection of lymph node metastasis in lung cancer. We extracted 16 target candidate mRNA markers with high expression in lung cancer from a genetic database, and then quantified their expression levels by quantitative RT-PCR using surgically dissected lymph nodes with or without metastasis. Cytokeratin 19 (CK19), cytokeratin 7 (CK7), stratifin (SFN), and anterior gradient homolog 2 (AGR2) showed significant differences for mRNA expression between metastasis-negative and -positive lymph nodes in quantitative-RT-PCR screening. CK19 and CK7 were finally selected as potential target markers and were quantified using OSNA assay findings of 165 dissected lymph nodes obtained from 49 lung cancer patients. The OSNA assay with CK19 and CK7 were completed within 40 min and their positive predictive value, negative predictive value, and accuracy comparing to pathological diagnosis with hematoxylin-eosin staining and immunohistochemistry were shown to be 95.0%, 99.3%, and 98.8%, and 85.0%, 97.9%, and 96.4%, respectively, using a cut-off value of 250 copies/μL. Among the 165 lymph nodes tested, 1 false negative result was due to massive necrosis of cancer cells and 1 false positive was caused by the allocation bias of cancer cells in the sampling in patient with pleural dissemination. The best performance was observed when CK19 was used as a marker, while the addition of CK7 mRNA as a marker did not increase sensitivity or specificity. In conclusion, an OSNA assay using CK19 could be effective for molecular diagnosis of lymph node metastasis in lung cancer. This is the first report suggesting the potential clinical utility of OSNA assay for intraoperative rapid diagnosis of nodal status in lung cancer.


Japanese Journal of Clinical Oncology | 2013

An Optimal mRNA Marker for OSNA (One-step Nucleic Acid Amplification) Based Lymph Node Metastasis Detection in Colorectal Cancer Patients

Noriko Yamamoto; Motonari Daito; Kayo Hiyama; Junyi Ding; Kadzuki Nakabayashi; Yasuhiro Otomo; Masahiko Tsujimoto; Nariaki Matsuura; Yo Kato

BACKGROUND We previously reported that the one-step nucleic acid amplification assay is effective for lymph node metastasis detection in breast cancer patients. This paper describes the identification of CK19 mRNA as an optimal marker and its cut-off value for use in the detection of one-step nucleic acid amplification-based lymph node metastasis in colorectal cancer patients. METHODS Candidate mRNA markers selected from the genome-wide expressed sequence tag database were evaluated by quantitative RT-PCR using a mixture of metastasis-positive and another mixture of metastasis-negative lymph nodes (n = 5 each), followed by quantitative RT-PCR using metastasis-positive and -negative lymph nodes (n = 10 each) from 20 patients. The one-step nucleic acid amplification assay for mRNA markers selected above was examined using 28 positive lymph nodes from 19 patients and 38 negative lymph nodes from the 11 pN0 patients. RESULTS Quantitative RT-PCR analyses of the 98 mRNAs selected from the genome-wide expressed sequence tag database and the subsequent quantitative RT-PCR analyses of the nine mRNAs selected above indicated that CK19 and CEA mRNAs have the highest capability for distinguishing between positive and negative lymph nodes. CK19, CEA and CK20 mRNAs were evaluated by the one-step nucleic acid amplification assay. An area under a receiver-operating-characteristic curve for CK19 mRNA (0.999) was slightly larger than that for CEA mRNA (0.946; P = 0.062) and significantly larger that than for CK20 mRNA (0.875; P = 0.006). CONCLUSION We found that CK19 mRNA has the best diagnostic performance and its cut-off value for discriminating positive from negative lymph nodes can be set in the range of 75-500 copies/µl with 96.4% sensitivity and 100% specificity.


Archive | 2004

Primer for nucleic acid amplification to detect carcinoembryonic antigen and test method using such primer

Kayo Hiyama


Archive | 2007

Method and apparatus for judging the presence or absence of metastasis of malignant tumor

Kazuki Nakabayashi; Yasuhiro Otomo; Motonari Daito; Hideki Takata; Kayo Hiyama


Archive | 2002

Method of detecting gene as amplified product by gene amplification and reagent kit therefor

Kayo Hiyama; Koichi Yamagata; Makoto Ueda; Kadzuki Nakabayashi


Archive | 2008

Cancer metastasis determination method

Hideki Takata; Kayo Hiyama


Archive | 2009

PRIMER FOR DETECTION OF TYROSINASE mRNA

Kayo Hiyama; 佳代 檜山; Kazuki Nakabayashi; 一樹 中林; Yasuhiro Otomo; 泰裕 大友


Gynecologic Oncology | 2013

Corrigendum to “Detection of sentinel lymph node metastases in cervical cancer: assessment of KRT19 mRNA in the one-step nucleic acid amplification (OSNA) method” [Gynecol. Oncol. 130 (2013) 530–536]

Satoshi Okamoto; Hitoshi Niikura; Kadzuki Nakabayashi; Kayo Hiyama; Maki Matoda; Nobuhiro Takeshima; Mika Watanabe; Satoru Nagase; Takeo Otsuki; Nobuo Yaegashi


Archive | 2012

METHOD OF DETERMINING LYMPH NODE METASTASIS IN CERVICAL CANCER, DEVICE FOR DETERMINING THE SAME, AND COMPUTER PROGRAM

Kazuki Nakabayashi; Kayo Hiyama

Collaboration


Dive into the Kayo Hiyama's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Maki Matoda

Japanese Foundation for Cancer Research

View shared research outputs
Researchain Logo
Decentralizing Knowledge