A case of diffuse large B cell lymphoma transformed from a rectal MALT lymphoma

( Saehan Kang ),( Kwonoh Park ) 대한내과학회 2015 대한내과학회 추계학술대회 Vol.2015 No.1

Primary rectal lymphoma is a rare disease among the Gastrointestinal (GI) lymphoma. In particular, DLBCL transformed from Mucosa-Associated Lymphoid Tissue (MALT) lymphoma is often theprimary type of GI lymphoma, mostly in stomach or duodenum, but has never been reported in rectum. Here we report an unusual case in which a 75-year-old male patient visited the hospital due to hematochezia and was diagnosed with DLBCL transformed from MALT lymphoma in the rectum. Multiple nodules around sigmoid colon and rectum, and mass-forming ulcer 5 cm above anal verge were observed using colonoscopy. In histology, Lymphocytic infiltration along with lymphoepithelial lesion was observed at the multiplenodules, which were confirmed as MALT lymphoma, and DLCBL was diagnosed from the tissue of mass-forming ulcer in the rectum. Other staging evaluations, including endoscopic gastroduodenoscopy, Chest computed tomography (CT), abdomino-pelvic CT, PET-CT anda bone marrow examination results confirmed lymphoma distributed around rectum and para-aortic lymph nodes. Finally, the patient was diagnosed as rectal DLBCL transformed from MALT lymphoma as GI-NHL stage II2 and was treated with chemotherapy (R-CHOP) with CD-20 monoclonal antibody (Rituxaimb). Complete remission of multiple lymphadenopathy and mass forming ulcer of the rectum were achieved after 6 cycles of R-CHOP. He has been free from disease for 20 months.

Porcine seminal protein-I and II mRNA expression in boar spermatozoa is significantly correlated with fertility

Kang, Saehan,Pang, Won-Ki,Ryu, Do-Yeal,Song, Won-Hee,Rahman, Md Saidur,Park, Yoo-Jin,Pang, Myung-Geol Elsevier 2019 Theriogenology Vol.138 No.-

<P><B>Abstract</B></P> <P>In recent years, genomic and proteomic biomarkers have been identified for the diagnosis of male fertility to overcome the limitations of conventional semen analysis. Owing to the limited genes available so far, the single gene approach is commonly adopted for analyzing the phenotype of interest. However, the single-gene approach is less effective than multiple-gene strategies for diagnosing a desirable phenotype. Herein, we investigate the ability of two fertility-related genomic markers (porcine seminal protein (PSP)-I and PSP-II) in spermatozoa to predict boar litter size in addition to conventional semen parameters. First, we examined different semen parameters (motility, motion kinematics, and capacitation status) and gene expression in high- and low-litter size boar spermatozoa. Then, we evaluated the correlation of these parameters with the fertility of 21 Yorkshire boars. Finally, we investigated the efficacy of single/combined markers to predict male fertility using a comprehensive statistical model. Our result showed that there were no significant differences in sperm motility, motion kinematics, or capacitation status, however, the mRNA expression of PSP-I and PSP-II in spermatozoa was significantly different in high- and low-litter size boars. In the individual screening test, the expression of both genes was negatively correlated with boar fertility (r = 0-0.578 and −0.456, respectively), whereas only hyperactivation (HYP) showed a positive correlation (r = 0.444) among the tested semen parameters. As single markers, PSP-I and PSP-II have a better diagnostic power to predict boar fertility, regardless of HYP, in quality assessment analyses. In addition, when these markers were combined, the positive predictive value, negative predictive value, and overall test effectiveness for fertility detection were improved. Surprisingly, when PSP-I and PSP-II were considered together, the deviation of the predicted average litter size between high- and low-litter size boars was 1.77. Based on the findings, we suggest that the use of genomic markers in spermatozoa rather than commonly analyzed semen parameters may be more accurate for evaluating male fertility. Moreover, using a combination of markers could increase the overall accuracy of (in)fertility predictions, and thus, could be considered for field application.</P> <P><B>Highlights</B></P> <P> <UL> <LI> PSP-I and PSP-II expression in spermatozoa was negatively correlated with boar fertility. </LI> <LI> The combined use of PSP-I and PSP-II showed improved overall test accuracy for fertility detection. </LI> <LI> The combined use of PSP-I and PSP-II displayed maximum piglets increased. </LI> </UL> </P>

Porcine seminal protein-I and II in boar spermatozoa are candidate biomarkers for prediction of litter size

Saehan Kang,Won-Ki Pang,Do-Yeal Ryu,Won-Hee Song,Md Saidur Rahman,Myung-Geol Pang 한국수정란이식학회 2018 한국수정란이식학회 학술대회 Vol.2018 No.11

The ability of conventional semen analysis to predict male fertility is questionable. Since the prediction of male fertility is extremely of importance for the artificial insemination and profitable farm managements in animals, the development of highly sensitive biomarker of male fertility is a prime concern. Porcine Seminal Protein I (PSP-I) and Porcine Seminal Protein II (PSP-II) have been known that they are related with motility, and viability of spermatozoa. Thus, we investigated PSP-I and PSP-II level in boar spermatozoa to predict boar’s fertility. The expressions of PSP-I and PSP-II in spermatozoa from 21 individual boars with different fertility and litter size (litter size ranges from 10.3 – 14.2) were examined using qRT-PCR. Litter size was determined in 530 saws after artificial insemination (AI). In addition, sperm motility, motion kinematics, and capacitation status were measured using computer-assisted sperm analysis and Hoechst 33258/chlortetracycline fluorescence staining, respectively. PSP-I and PSP-II showed significantly negative correlation with litter size (r=0.578; P=0.006 and r=0.456; P=0.038, respectively). Furthermore, receiver-operating curves (ROC) was used to determine the accuracy for the prediction of boar fertility. Therefore we divided into 2 groups based on the median value of litter size. When selecting higher litter size group, PSP-I can predict litter size with overall accuracy 90.48% (sensitivity 88.89, specificity 91.67, negative predictive value 91.67, and positive predictive value 88.89) and PSP-II can predict with overall accuracy 81.82% (sensitivity 55.56, specificity 100.00, negative predictive value 76.47, and positive predictive value 100.00). Interestingly, PSP-I and PSP-II were found to increase 0.76 pups than average litter size (average 12.48) in tested boars. To best of our knowledge, this study is the first trial to investigate the correlation between PSP-I, PSP-II, and litter size. Therefore, we suggest that PSP-I and PSP-II could be considered as promising biomarkers for predicting male fertility and litter size outcome in field condition.

CUDA 커널의 메모리 인스트럭션 분포에 따른 성능 변화 분석

손윤하(Yunha Sohn),이새한(SaeHan Lee),강석원(Seok-Won Kang),박영준(Yongjun Park) 한국정보과학회 2018 한국정보과학회 학술발표논문집 Vol.2018 No.12

M-알고리즘을 이용한 자기기록 채널 PRML의 성능평가

홍현선(Hyunsun Hong),강새한(Saehan Kang),이재진(Jaejin Lee) 한국통신학회 2002 한국통신학회 학술대회논문집 Vol.2002 No.7

Sperm solute carrier family 9 regulator 1 is correlated with boar fertility

Kim, Ki-Uk,Pang, Won-Ki,Kang, Saehan,Ryu, Do-Yeal,Song, Won-Hee,Rahman, Md Saidur,Kwon, Woo-Sung,Pang, Myung-Geol Elsevier 2019 Theriogenology Vol.126 No.-

<P><B>Abstract</B></P> <P>Predicting male fertility is extremely important for artificial insemination and profitable farm management. Conventional semen assessment together with computer-assisted sperm analysis is widely used to predict male fertility under field conditions. However, the clinical validation and sensitivity of these methods remain unclear. Therefore, a new approach is needed to predict male fertility. Here, we investigated the use of a transcriptomic marker (solute carrier family 9, subfamily A, member 3, regulator 1; <I>SLC9A3R1</I>) together with sperm motility parameters and capacitation status to predict fertility/infertility in boars at the commercial level. Our data showed that among motility parameters and the capacitation status, hyperactivation (HYP) differed between high- and low-litter size boars. HYP showed a significant positive correlation (R = 0.468) with boar litter size. Simultaneously, the expression of <I>SLC9A3R1</I>, a gene important in sperm ion channel regulation, was significantly negatively correlated (R = −0.523) with boar litter size. Quality assessment revealed that both HYP and <I>SLC9A3R1</I> showed considerable sensitivity (71.43 <I>vs.</I> 100%), specificity (100 <I>vs.</I> 71.43%), and overall accuracy (90%) for predicting male fertility. Interestingly, the potential of <I>SLC9A3R1</I> expression to increase the average piglet number per breeding was higher (0.7 piglets) than that of HYP (0.5 piglets). Thus, measuring <I>SLC9A3R1</I> expression in spermatozoa may be a more accurate marker for evaluating male fertility/infertility than conventionally used motility parameters and capacitation status.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>SLC9A3R1</I> expression was negatively correlated with Yorkshire boar litter size. </LI> <LI> <I>SLC9A3R1</I> expression showed a remarkable increase of 1.5 (net increase in 0.7) piglets per insemination. </LI> <LI> <I>SLC9A3R1</I> expression in ejaculated spermatozoa may be a biomarker for predicting male fertility under field conditions. </LI> </UL> </P>