Publications by authors named "Ichiro Maeda"

The overexpression of Polo-like kinase 1 (PLK1) is associated with poor clinical outcomes in various malignancies, making it an attractive target for anticancer therapies. Although recent studies suggest PLK1's involvement in homologous recombination (HR), the impact of its overexpression on HR remains unclear. In this study, we investigated the effect of PLK1 overexpression on HR using bioinformatics and experimental approaches.

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Carotid artery stenting (CAS) has traditionally been performed using the transfemoral approach (TFA). Recently, the transradial approach (TRA) has gained attention for its lower invasiveness and reduced complication risk. This study compares outcomes between two access strategy timeframes, TFA-first and TRA-first, to evaluate how this shift influences outcomes in a real-world setting.

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Oncotype DX is the only multigene assay supported by the National Comprehensive Cancer Network (USA) with Level 1 evidence for use on node-negative and postmenopausal node-positive patients with estrogen receptor (ER)+/human epidermal growth factor receptor 2 (HER2)-breast cancer to predict the prognosis and to estimate chemotherapy add-on effects. However, the test's high cost prevents its use in most cases. Therefore, we aimed to obtain an alternative recurrence score (RS) prediction formula using the optimal clinicopathological factors.

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Article Synopsis
  • A 60-something woman with managed dyslipidemia experienced chest pain; tests were mostly normal but elevated cardiac enzymes led to a diagnosis of spontaneous coronary artery dissection (SCAD).
  • On the same day, she had a mild headache that escalated to a severe one, and CT scans revealed subarachnoid hemorrhage due to vertebral artery dissection.
  • Despite emergency treatment for a ruptured aneurysm, she passed away a week later, highlighting that SCAD can be linked to other vascular issues, necessitating careful evaluation of headaches in these patients.
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Article Synopsis
  • Peritoneal washing cytology (CY) is primarily used for staging pancreatic cancer and assessing intraperitoneal status for better prognosis predictions.
  • This study explored using deep learning techniques like Vision Transformer (ViT) and Convolutional Neural Network (CNN) to analyze CY specimen images from 88 patients to predict their 1-year survival rates.
  • The findings revealed that both AI models had high accuracy in prognosis prediction, with ViT being slightly more effective, and identified neutrophils as a potential negative prognostic marker for these patients.
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Patients with Crohn's disease are at higher risk of opportunistic infection, especially if treated with immunosuppressive therapy. Cytomegalovirus has been reported to cause ulcerated lesions mainly in the lower gastrointestinal tract of inflammatory bowel disease patients. We herein report a rare case of Crohn's disease complicated with cytomegalovirus esophagitis, which was difficult to distinguish from exacerbation of Crohn's disease.

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Introduction: Cancer genome analysis using next-generation sequencing requires adequate and high-quality DNA samples. Genomic analyses were conventionally performed using formalin-fixed paraffin-embedded sections rather than cytology samples such as cell block or smear specimens. Specimens collected from liquid-based cytology (LBC) have the potential to be sources of high-quality DNA suitable for genetic analysis even after long-term storage.

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Background: Invasive lobular carcinoma (ILC) is distinct from invasive ductal carcinoma (IDC) in terms of their hormonal microenvironments that may require different therapeutic strategies. We previously reported that selective estrogen receptor modulator (SERM) function requires F-box protein 22 (Fbxo22). Here, we investigated the role of Fbxo22 as a potential biomarker contributing to the resistance to endocrine therapy in ILC.

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We previously reported on two women with breast lesions in whom radiological examination could not exclude malignancy. In both cases, mastectomy was performed, and histological analyses revealed papillary lesions lined by fibrovascular stroma and nuclear inverse polarity. Hematoxylin-eosin, p63, and calponin staining indicated an absence of myoepithelial cells.

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Rapid advances are being made in cancer drug therapy. Since molecularly targeted therapy has been introduced, personalized medicine is being practiced, pathological tissue from malignant tumors obtained during routine practice is frequently used for genomic testing. Whereas cytological specimens fixed mainly in alcohol are considered to be more advantageous in terms of preservation of the nucleic acid quality and quantity.

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Consultation by subspecialty experts is the most common mode of rendering diagnosis in challenging cases in pathological practice. Our study aimed to highlight the diagnostic benefits of whole-slide image (WSI)-based remote consultation. We obtained diagnostically challenging cases from two institutions from the years 2010 and 2013, with histological diagnoses that contained keywords "probable," "suggestive," "suspicious," "inconclusive," and "uncertain.

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Preoperative diagnosis with multimodal approaches might lead to overtreatment. Cautious understanding of cytology and dynamic contrast-enhanced magnetic resonance imaging is required when a Kuttner tumor is cited as differential diagnosis.

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Chemotherapy for multiple primary malignancies is challenging. We herein report a case of synchronous primary lung adenocarcinoma and hepatocellular carcinoma (HCC). A 72-year-old man was admitted for the evaluation of an abnormal shadow on his lung.

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In a substantial number of patients, ductal carcinoma in situ (DCIS) of the breast will never progress to invasive ductal carcinoma, and these patients are often overtreated under the current clinical criteria. Although various candidate markers are available, relevant markers for delineating risk categories have not yet been established. In this study, we analyzed the clinical characteristics of 431 patients with DCIS and performed whole-exome sequencing analysis in a 21-patient discovery cohort and targeted deep sequencing analysis in a 72-patient validation cohort.

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A subset of prostate cancer displays a poor clinical outcome. Therefore, identifying this poor prognostic subset within clinically aggressive groups (defined as a Gleason score (GS) ≧8) and developing effective treatments are essential if we are to improve prostate cancer survival. Here, we performed a bioinformatics analysis of a TCGA dataset (GS ≧8) to identify pathways upregulated in a prostate cancer cohort with short survival.

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BRCA1/2 mutation carriers are at high risk for type II ovarian, fallopian tube or peritoneal cancer. Although risk-reducing salpingo-oophorectomy plays an important role in the prevention of these BRCA1/2-associated gynecological cancers, occult ovarian, fallopian tube, or peritoneal cancer is discovered upon risk-reducing salpingo-oophorectomy in 1-4% of BRCA1/2 mutation carriers. Notably, around 30% of BRCA1/2 mutation carriers who undergo risk-reducing salpingo-oophorectomy have undergone adjuvant chemotherapy for breast cancer.

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Deep learning algorithms have been successfully used in medical image classification. In the next stage, the technology of acquiring explainable knowledge from medical images is highly desired. Here we show that deep learning algorithm enables automated acquisition of explainable features from diagnostic annotation-free histopathology images.

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Background: Primary epithelial ovarian cancer is divided into several subtypes. The relationships between apparent diffusion coefficient (ADC) values and their subtypes have not yet been established.

Purpose: To investigate whether ADC values of epithelial ovarian cancer vary according to histologic tumor cellularity and evaluate the difference of clear cell carcinoma (CCC), high-grade serous carcinoma (HGSC), and endometrioid carcinoma (EC).

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Deep learning algorithms have achieved great success in cancer image classification. However, it is imperative to understand the differences between the deep learning and human approaches. Using an explainable model, we aimed to compare the deep learning-focused regions of magnetic resonance (MR) images with cancerous locations identified by radiologists and pathologists.

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Granular cell tumor (GCT) is a rare neoplasm of the soft tissues and <1% of all GCTs are malignant. Initially, GCT was considered a myogenic lesion affecting the female breast (myoblastoma). We report the case of an 83-year-old woman with a palpable lump in the left breast; mammography and ultrasound showed an irregular lesion.

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Objectives: The aim of this study was to use immunohistochemistry to differentiate solid papillary carcinoma in situ from intraductal papilloma with usual ductal hyperplasia (IPUDH). Three types of high-molecular-weight cytokeratins (CKs) - CK5/6, CK14, and CK34betaE12 - were targeted.

Methods: We studied 17 patients with solid papillary carcinoma in situ and 18 patients with IPUDH diagnosed by at least two pathologists.

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The agonistic/antagonistic biocharacter of selective estrogen receptor modulators (SERMs) can have therapeutic advantages, particularly in the case of premenopausal breast cancers. Although the contradictory effects of these modulators have been studied in terms of crosstalk between the estrogen receptor α (ER) and coactivator dynamics and growth factor signaling, the molecular basis of these mechanisms is still obscure. We identify a series of regulatory mechanisms controlling cofactor dynamics on ER and SERM function, whose activities require F-box protein 22 (Fbxo22).

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Purpose: The purpose of this study was to evaluate the possible clinical application of optical coherence tomography for assessing ovarian reserve in individual specimens of human ovarian tissue for fertility preservation.

Methods: Ovarian tissue examination by optical coherence tomography was performed before ovarian tissue cryopreservation. Three of the four subjects had hematological disease or cancer, and they faced a threat to their fertility due to impending chemotherapy.

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Biomarker-driven cancer therapy has met with significant clinical success. Identification of a biomarker implicated in a malignant phenotype and linked to poor clinical outcome is required if we are to develop these types of therapies. A subset of prostate adenocarcinoma (PACa) cases are treatment-resistant, making them an attractive target for such an approach.

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