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  1. AU="Hyunho Han"
  2. AU="Grommen, Sylvia V H"
  3. AU="Asemani, Yahya"
  4. AU="Ketomäki, Tuomo"
  5. AU=Cavallini Giorgio
  6. AU="Saha, Aakash"
  7. AU="Noguchi, J"
  8. AU="Löhr, B."
  9. AU="Lokie, Kelsey B"

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  1. Artikel ; Online: The diverse influences of relaxin-like peptide family on tumor progression

    Jungchan Jung / Hyunho Han

    Heliyon, Vol 10, Iss 2, Pp e24463- (2024)

    Potential opportunities and emerging challenges

    2024  

    Abstract: Relaxin-like peptide family exhibit differential expression patterns in various types of cancers and play a role in cancer development. This family participates in tumorigenic processes encompassing proliferation, migration, invasion, tumor ... ...

    Abstract Relaxin-like peptide family exhibit differential expression patterns in various types of cancers and play a role in cancer development. This family participates in tumorigenic processes encompassing proliferation, migration, invasion, tumor microenvironment, immune microenvironment, and anti-cancer resistance, ultimately influencing patient prognosis. In this review, we explore the mechanisms underlying the interaction between the RLN-like peptide family and tumors and provide an overview of therapeutic approaches utilizing this interaction.
    Schlagwörter Relaxin ; Insulin-like peptide ; Cancer ; TME ; ECM ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Sprache Englisch
    Erscheinungsdatum 2024-01-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: DLMFCOS

    Beomyeon Hwang / Sanghun Lee / Hyunho Han

    Applied Sciences, Vol 13, Iss 1841, p

    Efficient Dual-Path Lightweight Module for Fully Convolutional Object Detection

    2023  Band 1841

    Abstract: Recent advances in convolutional neural network (CNN)-based object detection have a trade-off between accuracy and computational cost in various industrial tasks and essential consideration. However, the fully convolutional one-stage detector (FCOS) ... ...

    Abstract Recent advances in convolutional neural network (CNN)-based object detection have a trade-off between accuracy and computational cost in various industrial tasks and essential consideration. However, the fully convolutional one-stage detector (FCOS) demonstrates low accuracy compared with its computational costs owing to the loss of low-level information. Therefore, we propose a module called a dual-path lightweight module (DLM) that efficiently utilizes low-level information. In addition, we propose a DLMFCOS based on DLM to achieve an optimal trade-off between computational cost and detection accuracy. Our network minimizes feature loss by extracting spatial and channel information in parallel and implementing a bottom-up feature pyramid network that improves low-level information detection. Additionally, the structure of the detection head is improved to minimize the computational cost. The proposed method was trained and evaluated by fine-tuning parameters through experiments and using public datasets PASCAL VOC 07 and MS COCO 2017 datasets. The average precision (AP) metric is used for our quantitative evaluation matrix for detection performance, and our model achieves an average 1.5% accuracy improvement at about 33.85% lower computational cost on each dataset than the conventional method. Finally, the efficiency of the proposed method is verified by comparing the proposed method with the conventional method through an ablation study.
    Schlagwörter convolutional neural network ; dual-path lightweight module ; object detection ; fully convolutional one-stage object detector ; feature pyramid ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: EAR-Net

    Seokyong Shin / Sanghun Lee / Hyunho Han

    Applied Sciences, Vol 11, Iss 9119, p

    Efficient Atrous Residual Network for Semantic Segmentation of Street Scenes Based on Deep Learning

    2021  Band 9119

    Abstract: Segmentation of street scenes is a key technology in the field of autonomous vehicles. However, conventional segmentation methods achieve low accuracy because of the complexity of street landscapes. Therefore, we propose an efficient atrous residual ... ...

    Abstract Segmentation of street scenes is a key technology in the field of autonomous vehicles. However, conventional segmentation methods achieve low accuracy because of the complexity of street landscapes. Therefore, we propose an efficient atrous residual network (EAR-Net) to improve accuracy while maintaining computation costs. First, we performed feature extraction and restoration, utilizing depthwise separable convolution (DSConv) and interpolation. Compared with conventional methods, DSConv and interpolation significantly reduce computation costs while minimizing performance degradation. Second, we utilized residual learning and atrous spatial pyramid pooling (ASPP) to achieve high accuracy. Residual learning increases the ability to extract context information by preventing the problem of feature and gradient losses. In addition, ASPP extracts additional context information while maintaining the resolution of the feature map. Finally, to alleviate the class imbalance between the image background and objects and to improve learning efficiency, we utilized focal loss. We evaluated EAR-Net on the Cityscapes dataset, which is commonly used for street scene segmentation studies. Experimental results showed that the EAR-Net had better segmentation results and similar computation costs as the conventional methods. We also conducted an ablation study to analyze the contributions of the ASPP and DSConv in the EAR-Net.
    Schlagwörter atrous spatial pyramid pooling ; deep learning ; encoder–decoder ; residual learning ; semantic segmentation ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2021-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Efficient Shot Detector

    Chansoo Park / Sanghun Lee / Hyunho Han

    Applied Sciences, Vol 11, Iss 8692, p

    Lightweight Network Based on Deep Learning Using Feature Pyramid

    2021  Band 8692

    Abstract: Convolutional-neural-network (CNN)-based methods are continuously used in various industries with the rapid development of deep learning technologies. However, an inference efficiency problem was reported in applications that require real-time ... ...

    Abstract Convolutional-neural-network (CNN)-based methods are continuously used in various industries with the rapid development of deep learning technologies. However, an inference efficiency problem was reported in applications that require real-time performance, such as a mobile device. It is important to design a lightweight network that can be used in general-purpose environments such as mobile environments and GPU environments. In this study, we propose a lightweight network efficient shot detector (ESDet) based on deep training with small parameters. The feature extraction process was performed using depthwise and pointwise convolution to minimize the computational complexity of the proposed network. The subsequent layer was formed in a feature pyramid structure to ensure that the extracted features were robust to multiscale objects. The network was trained by defining a prior box optimized for the data set of each feature scale. We defined an ESDet-baseline with optimal parameters through experiments and expanded it by gradually increasing the input resolution for detection accuracy. ESDet training and evaluation was performed using the PASCAL VOC and MS COCO2017 Dataset. Moreover, the average precision (AP) evaluation index was used for quantitative evaluation of detection performance. Finally, superior detection efficiency was demonstrated through the experiment compared to the conventional detection method.
    Schlagwörter CNN ; EfficientNet ; feature pyramid ; lightweight deep learning ; object detection ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2021-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Relationship between the experience of online game genre and high risk of Internet gaming disorder in Korean adolescents

    Hyunho Han / Hyunsuk Jeong / Sun-Jin Jo / Hye Jung Son / Hyeon Woo Yim

    Epidemiology and Health, Vol

    2020  Band 42

    Abstract: OBJECTIVES This study examined the association between high risk of Internet gaming disorder (IGD) and online game genres used by adolescents. METHODS The data derived from the baseline data of the Internet user Cohort for Unbiased Recognition of gaming ... ...

    Abstract OBJECTIVES This study examined the association between high risk of Internet gaming disorder (IGD) and online game genres used by adolescents. METHODS The data derived from the baseline data of the Internet user Cohort for Unbiased Recognition of gaming disorder in Early Adolescence. A total 1,532 middle school students who use online games included. The participants reported the names of the online games they used during the past year. Game genres were categorized into role playing games (RPGs), shooting, multiplayer online battle arena (MOBA), simulation, arcade, sports and action games. The risk of IGD was measured using the Internet Gaming Use-Elicited symptom Screen. The relationship between the experience of online game genre and high risk of IGD was analyzed using multiple logistic regression model. RESULTS The game time of a student was longer if he or she had an experience of RPGs, shooting games, MOBA games, simulation games, and action games. The direct and independent association between high risk of IGD in adolescents and the genres of RPGs, simulation games and MOBA were found to be odds ratios 1.52 (95% confidence interval [CI], 1.03 to 2.26); 1.59 (95% CI, 1.03 to 2.45); and 1.51 (95% CI, 1.03 to 2.21), respectively after adjusted the potential confounding variables and the use of other online game genres. CONCLUSIONS The present cross-sectional study has found an association between online game genres and the risk of IGD in adolescents attending a school. A cohort study should verify the causal association in future.
    Schlagwörter adolescent ; online game ; internet gaming disorder ; game genre ; Medicine ; R
    Thema/Rubrik (Code) 700
    Sprache Englisch
    Erscheinungsdatum 2020-04-01T00:00:00Z
    Verlag Korean Society of Epidemiology
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Characteristics of BRCA2 Mutated Prostate Cancer at Presentation

    Hyunho Han / Cheol Keun Park / Nam Hoon Cho / Jongsoo Lee / Won Sik Jang / Won Sik Ham / Young Deuk Choi / Kang Su Cho

    International Journal of Molecular Sciences, Vol 23, Iss 13426, p

    2022  Band 13426

    Abstract: Genetic alterations of DNA repair genes, particularly BRCA2 in patients with prostate cancer, are associated with aggressive behavior of the disease. It has reached consensus that somatic and germline tests are necessary when treating advanced prostate ... ...

    Abstract Genetic alterations of DNA repair genes, particularly BRCA2 in patients with prostate cancer, are associated with aggressive behavior of the disease. It has reached consensus that somatic and germline tests are necessary when treating advanced prostate cancer patients. Yet, it is unclear whether the mutations are associated with any presenting clinical features. We assessed the incidences and characteristics of BRCA2 mutated cancers by targeted sequencing in 126 sets of advanced prostate cancer tissue sequencing data. At the time of diagnosis, cT3/4, N1 and M1 stages were 107 (85%), 54 (43%) and 35 (28%) samples, respectively. BRCA2 alterations of clinical significance by AMP/ASCO/CAP criteria were found in 19 of 126 samples (15.1%). The BRCA2 mutated cancer did not differ in the distributions of TNM stage, Gleason grade group or histological subtype compared to BRCA2 wild-type cancers. Yet, they had higher tumor mutation burden, and higher frequency of ATM and BRCA1 mutations (44% vs. 10%, p = 0.002 and 21% vs. 4%, p = 0.018, respectively). Of the metastatic subgroup (M1, n = 34), mean PSA was significantly lower in BRCA2 mutated cancers than wild-type ( p = 0.018). In the non-metastatic subgroup (M0, n = 64), PSA was not significantly different ( p = 0.425). A similar trend was noted in multiple metastatic prostate cancer public datasets. We conclude that BRCA2 mutated metastatic prostate cancers may present in an advanced stage with relatively low PSA.
    Schlagwörter prostate cancer ; BRCA2 ; PSA ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-11-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: p53 Immunohistochemistry and Mutation Types Mismatching in High-Grade Serous Ovarian Cancer

    Eunhyang Park / Hyunho Han / Sung-Eun Choi / Hyunjin Park / Ha-Young Woo / Mi Jang / Hyo-Sup Shim / Sohyun Hwang / Haeyoun Kang / Nam-Hoon Cho

    Diagnostics, Vol 12, Iss 579, p

    2022  Band 579

    Abstract: High-grade serous carcinoma (HGSCa) of the ovary is featured by TP53 gene mutation. Missense or nonsense mutation types accompany most cases of HGSCa that correlate well with immunohistochemical (IHC) staining results—an all (missense) or none (nonsense) ...

    Abstract High-grade serous carcinoma (HGSCa) of the ovary is featured by TP53 gene mutation. Missense or nonsense mutation types accompany most cases of HGSCa that correlate well with immunohistochemical (IHC) staining results—an all (missense) or none (nonsense) pattern. However, some IHCs produce subclonal or mosaic patterns from which TP53 mutation types, including the wild type of the gene, cannot be clearly deduced. We analyzed a total of 236 cases of ovarian HGSCa and tumors of other histology by matching the results of p53 IHC staining and targeted next-generation sequencing (TruSight Tumor 170 panel). Ambiguous IHCs that do not belong to the conventional “all or none” groups were reviewed to distinguish the true wild type (WT) from potentially pathogenic subclonal or mosaic patterns. There were about 9% of sequencing-IHC mismatching cases, which were enriched by the p53 c-terminal encoding nuclear localization signal and oligomerization domain, in which the subcellular locations of p53 protein were affected. Indeed, mutations in the oligomerization domain of the p53 protein frequently revealed an unmatched signal or cytosolic staining (L289Ffs*57 (Ins), and R342*). We conclude that both mutation types and IHC patterns of p53 are important sources of information to provide a precise diagnosis of HGSCa.
    Schlagwörter p53 ; immunohistochemistry ; next generation sequencing ; oligomerization domain ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 572
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Generation of a human induced pluripotent stem cell line YCMi004-A from a patient with dilated cardiomyopathy carrying a protein-truncating mutation of the Titin gene and its differentiation towards cardiomyocytes

    Sun-Ho Lee / Jaewon Oh / Seung-Tae Lee / Dongju Won / Sangwoo Kim / Hyo-Kyoung Choi / Seok-Jun Kim / Hyunho Han / Minjae Yoon / Jong Rak Choi / Ho-Geun Yoon / Sahng Wook Park / Seok-Min Kang / Seung-Hyun Lee

    Stem Cell Research, Vol 59, Iss , Pp 102629- (2022)

    2022  

    Abstract: Dilated cardiomyopathy (DCM) is a heart muscle disease that causes heart failure and is the leading cause for heart transplantation. It is a heart muscle disease resulted from a variety of genetics, toxic, metabolic, and infectious causes. One of the ... ...

    Abstract Dilated cardiomyopathy (DCM) is a heart muscle disease that causes heart failure and is the leading cause for heart transplantation. It is a heart muscle disease resulted from a variety of genetics, toxic, metabolic, and infectious causes. One of the most prevalent genetic causes of DCM is a protein-truncating variant in the Titin gene (TTNtv). We have generated a human-induced pluripotent stem cell (hiPSC) line from patients who underwent heart transplantation due to DCM carrying a TTNtv mutation (c.70051C > T, p.Arg23351Ter) at the age of 20. The generated hiPSCs showed normal karyotype (46, XY) and expression of pluripotency markers, and were differentiated towards cardiomyocytes successfully.
    Schlagwörter Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Mesenchymal and stem-like prostate cancer linked to therapy-induced lineage plasticity and metastasis

    Hyunho Han / Yan Wang / Josue Curto / Sreeharsha Gurrapu / Sara Laudato / Alekya Rumandla / Goutam Chakraborty / Xiaobo Wang / Hong Chen / Yan Jiang / Dhiraj Kumar / Emily G. Caggiano / Monica Capogiri / Boyu Zhang / Yan Ji / Sankar N. Maity / Min Hu / Shanshan Bai / Ana M. Aparicio /
    Eleni Efstathiou / Christopher J. Logothetis / Nicholas Navin / Nora M. Navone / Yu Chen / Filippo G. Giancotti

    Cell Reports, Vol 39, Iss 1, Pp 110595- (2022)

    2022  

    Abstract: Summary: Bioinformatic analysis of 94 patient-derived xenografts (PDXs), cell lines, and organoids (PCOs) identifies three intrinsic transcriptional subtypes of metastatic castration-resistant prostate cancer: androgen receptor (AR) pathway + prostate ... ...

    Abstract Summary: Bioinformatic analysis of 94 patient-derived xenografts (PDXs), cell lines, and organoids (PCOs) identifies three intrinsic transcriptional subtypes of metastatic castration-resistant prostate cancer: androgen receptor (AR) pathway + prostate cancer (PC) (ARPC), mesenchymal and stem-like PC (MSPC), and neuroendocrine PC (NEPC). A sizable proportion of castration-resistant and metastatic stage PC (M-CRPC) cases are admixtures of ARPC and MSPC. Analysis of clinical datasets and mechanistic studies indicates that MSPC arises from ARPC as a consequence of therapy-induced lineage plasticity. AR blockade with enzalutamide induces (1) transcriptional silencing of TP53 and hence dedifferentiation to a hybrid epithelial and mesenchymal and stem-like state and (2) inhibition of BMP signaling, which promotes resistance to AR inhibition. Enzalutamide-tolerant LNCaP cells re-enter the cell cycle in response to neuregulin and generate metastasis in mice. Combined inhibition of HER2/3 and AR or mTORC1 exhibits efficacy in models of ARPC and MSPC or MSPC, respectively. These results define MSPC, trace its origin to therapy-induced lineage plasticity, and reveal its sensitivity to HER2/3 inhibition.
    Schlagwörter CP: Cancer ; Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2022-04-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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