1.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
2.Four new diglycosides from Momordicae Semen.
Cheng-Lin ZHOU ; Xiao-Bo LI ; Pei-Jun JU ; Ru DING ; Meng-Yue WANG
China Journal of Chinese Materia Medica 2025;50(6):1558-1563
The seed kernel of Momordica cochinchinensis, i.e., Momordicae Semen, is used for medicinal purposes, but to date, no research has been reported on its chemical constituents. In this study, the chemical constituents of Momordicae Semen were investigated for the first time using silica gel column chromatography, semi-preparative HPLC, HR-MS, and NMR. As a result, eight compounds were isolated and identified as: p-hydroxybenzoic acid-7-O-trehaloside(mubeside A, 1), 2,6-dimethoxyphenol-O-β-D-apiosyl-(1→2)-β-D-glucoside(mubeside B, 2), 1-O-p-methoxybenzoyl-1,4-benzenediol-4-O-β-D-apiosyl-(1→2)-β-D-glucoside(mubeside C, 3), 1-O-p-hydroxybenzoyl-1,4-benzenediol-4-O-β-D-apiosyl-(1→2)-β-D-glucoside(mubeside D, 4), gypsogenin-3-O-β-D-galactosyl-(1→2)-β-D-glucuronoside(5), quillaic acid-3-O-β-D-galactosyl-(1→2)-β-D-glucuronoside(6), violanthin(7), and kaempferitrin(8). Compounds 1-4 are new compounds, while compounds 5-8 were isolated from Momordicae Semen for the first time.
Glycosides/isolation & purification*
;
Drugs, Chinese Herbal/isolation & purification*
;
Molecular Structure
;
Magnetic Resonance Spectroscopy
;
Chromatography, High Pressure Liquid
3.Clinical features and variant spectrum of FGFR3-related disorders.
Shi-Li GU ; Ling-Wen YING ; Guo-Ying CHANG ; Xin LI ; Juan LI ; Yu DING ; Ru-En YAO ; Ting-Ting YU ; Xiu-Min WANG
Chinese Journal of Contemporary Pediatrics 2025;27(10):1259-1265
OBJECTIVES:
To study genotype-phenotype correlations in children with FGFR3 variants and to improve clinical recognition of related disorders.
METHODS:
Clinical data of 95 patients aged 0-18 years harboring FGFR3 variants, confirmed by whole‑exome sequencing at Shanghai Children's Medical Center from January 2012 to December 2023, were retrospectively reviewed. Detailed phenotypic characterization was performed for 22 patients with achondroplasia (ACH) and 10 with hypochondroplasia (HCH).
RESULTS:
Among the 95 patients, 52 (55%) had ACH, 24 (25%) had HCH, 9 (9%) had thanatophoric dysplasia, 3 (3%) had syndromic skeletal dysplasia, 2 (2%) had severe achondroplasia with developmental delay and acanthosis nigricans, and 5 (5%) remained unclassified. A previously unreported FGFR3 variant, c.1663G>T, was identified. All 22 ACH patients presented with disproportionate short stature accompanied by limb dysplasia, commonly with macrocephaly, a depressed nasal bridge, bowed legs, and frontal bossing; complications were present in 17 (77%). The 10 HCH patients predominantly exhibited disproportionate short stature with limb dysplasia and depressed nasal bridge.
CONCLUSIONS
ACH is the most frequent phenotype associated with FGFR3 variants, and missense variants constitute the predominant variant type. The degree of FGFR3 activation appears to correlate with the clinical severity of skeletal dysplasia.
Humans
;
Receptor, Fibroblast Growth Factor, Type 3/genetics*
;
Child
;
Male
;
Child, Preschool
;
Female
;
Infant
;
Adolescent
;
Dwarfism/genetics*
;
Achondroplasia/genetics*
;
Lordosis/genetics*
;
Infant, Newborn
;
Retrospective Studies
;
Genetic Association Studies
;
Bone and Bones/abnormalities*
;
Phenotype
;
Limb Deformities, Congenital
4.Analysis of ABO System Hemolytic Disease of the Newborn in 283 Cases at Yunnan Province.
Jin-Yu ZHOU ; Ru SHEN ; Han-Xin WU ; Ju-Ding GUO ; Hong-Mei LIU ; Li-Li SHU ; Yu ZHU ; Jing-Yue SUN ; Jun CHANG
Journal of Experimental Hematology 2025;33(3):881-885
OBJECTIVE:
To analyze the laboratory detection results of hemolytic disease of the fetus and newborn(HDFN).
METHODS:
Related test results of 283 newborns and their mothers' blood samples from Kunming Maternal and Child Health Hospital from August 2023 to May 2024 were collected, including mother and child ABO blood group, RhD blood group, as well as 3 tests of HDFN, total bilirubin (TBil) and indirect bilirubin (IBil).
RESULTS:
283 were ABO incompatibility, among which 187 were HDFN positive, with a positive rate of 66.08%; the positive rate of HDFN in neonates with antigen-A incompatibility was 74.12%(126/170), the positive rate of HDFN in neonates with antigen-B incompatibility was 53.57%(60/112), which was the highest in neonates with O/A incompatibility [75.45%(126/167)], followed by O/B incompatibility[54.55%(60/110)]. Group by age, the positive rates of HDFN in the ≤1 d group, 2 d group, 3 d group, 4 d group, 5 d group and ≥6 d group were 76.03%(111/146), 67.86%(38/56), 57.14%(24/42), 38.46%(5/13), 46.15%(6/13) and 23.08%(3/13), respectively. With the increase of age, the positive rates of HDFN gradually decreased, there was a statistically significant difference between the ≤3 day age group and >3 day age group ( P <0.05). There was no statistically significant difference in TBil and IBil levels between the "direct antibody+indirect antibody+release+" group and the HDFN negative group in newborns. HDFN infants exhibited a rapid increase in bilirubin levels within the first day after birth, with significantly higher TBil and IBil values compared to Non ABO-HDFN infants in the ≤1 day group ( P <0.01). However, the difference of bilirubin levels between the two groups gradually narrowed from 2-6 days after birth, and the difference was not statistically significant (P >0.05). The peak value of TBil and IBil occurred on the 4th day after birth in HDFN infants.
CONCLUSION
ABO-HDFN is most commonly seen in newborns whose mothers are type-O, and the positive rate was the highest in newborns with O/A incompatibility. The detection rate of HDFN is affected by the age of the newborns, and the two were correlated inversely. ABO-HDFN group developed more rapidly with a higher peak. Therefore, HDFN tests should be carried out as soon as possible for mothers and newborns with incompatible blood types, and appropriate treatment should be provided to prevent complications.
Humans
;
Infant, Newborn
;
ABO Blood-Group System
;
Erythroblastosis, Fetal/epidemiology*
;
Female
;
China/epidemiology*
;
Blood Group Incompatibility
;
Male
;
Bilirubin/blood*
5.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
6.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
7.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Five new triterpenoid saponins from the kernels of Momordica cochinchinensis
Ru DING ; Jia-qi WANG ; Yi-yang LUO ; Yong-long HAN ; Xiao-bo LI ; Meng-yue WANG
Acta Pharmaceutica Sinica 2025;60(2):442-448
Five saponins were isolated from the kernels of
9.Expression and clinical significance of AMOTL1, molecules of Hippo signaling pathway YAP, and TAZ in cervical cancer tissues
Tiantian FANG ; Li JING ; Ru DING ; Ziyi LIU
Clinical Medicine of China 2025;41(1):1-8
Objective:To investigate the expression and clinical significance of angiomotin-like protein 1 (AMOTL1) and downstream related molecules of Hippo signaling pathway yes-associated protein (YAP) and TAZ in different cervical tissues.Methods:From January 2017 and July 2018 ,102 cervical cancer tissues, 50 cervical squamous epithelial high-grade lesions (HSIL) tissues, 45 low-grade lesions (LSIL) tissues and 50 chronic cervicitis tissues, all of which underwent surgical treatment and pathological diagnosis at Xuzhou Medical University Affiliated Hospital from January 2017 to July 2018, were selected. The expression of AMOTL1 and Hippo pathway downstream related proteins YAP and TAZ were evaluated by immunohistochemistry and their relationship with the clinicopathological parameters of cervical cancer were examined in the cervical tissues of each group. The comparison of inter group rates in count data was conducted using the chi square test. Adopting Spearman correlation analysis method to analyze the relationship between AMOTL1, YAP, and TAZ. Single factor survival analysis was performed using Kaplan Meier curves. Kaplan Meier method and multivariate Cox regression analysis were used to investigate the factors affecting the prognosis of cervical cancer patients.Results:The immunohistochemical results showed that the positive rates of AMOTL1 in chronic cervicitis, LSIL, HSIL, and cervical cancer were 12.00% (6/50), 17.78% (8/45), 28.00% (14/50), and 76.47% (78/102), respectively. The positive expression status of AMOTL1 in chronic cervicitis, LSIL, HSIL and cervical cancer were 12.00%(6/50), 17.78%(8/45), 28.00%(14/50), 76.47%(78/102). The positive rates of YAP in chronic cervicitis, LSIL, HSIL, and cervical cancer were 10.00% (5/50), 15.56% (7/45), 30.00% (15/50), and 63.73% (65/102), respectively. The positive expression of YAP in cervical cancer tissues was higher than that in other groups ( χ2=56.66, P<0.001). The positive rates of TAZ in chronic cervicitis, LSIL, HSIL, and cervical cancer were 8.00% (4/50), 17.78% (8/45), 30.00% (15/50), and 71.57% (73/102), respectively. The positive expression of TAZ in cervical cancer tissues was higher than that in other groups ( χ2=74.71, P<0.001), AMOTL1 positive expression is associated with the International Federation of Gynecology and Obstetrics (FIGO) staging ( χ2=16.28, P=0.001), tissue differentiation degree ( χ2=30.16, P<0.001), and lymph node metastasis ( χ2=5.81, P=0.016), YAP positive expression is associated with FIGO staging ( χ2=15.99, P<0.001), differentiation degree ( χ2=25.06, P<0.001), tumor diameter ( χ2=13.63, P=0.003), and lymph node metastasis ( χ2=5.78, P=0.016), and TAZ positive expression is associated with FIGO staging ( χ2=14.49, P<0.001). tissue differentiation degree ( χ2=25.32, P<0.001), and the presence or absence of lymph node metastasis ( χ2=4.95, P=0.026) are related. Spearman correlation analysis showed a positive correlation between AMOTL1 and YAP expression ( r=0.65, P<0.001), and a positive correlation between AMOTL1 and TAZ expression ( r=0.72, P<0.001), There was a positive correlation between YAP and TAZ expression ( r=0.68, P<0.001). Kaplan Meier survival analysis showed that individuals with positive expression of AMOTL1, YAP, and TAZ proteins had shorter survival times than those with negative expression ( χ2 values were 9.84, 8.64, and 18.57, respectively; P values were 0.002, 0.003, and <0.001, respectively). Multivariate Cox regression analysis showed that FIGO staging ( HR=3.18, 95% CI 1.09-9.29, P=0.034), lymph node metastasis ( HR=16.74, 95% CI 3.20-87.45, P=0.010), AMOTL1 positive expression ( HR=13.06, 95% CI 1.41-121.08, P=0.024), and YAP positive expression ( HR=9.75, 95% CI 1.59-59.52, P=0.014) were risk factors for poor prognosis in cervical cancer patients. Conclusion:AMOTL1, YAP, and TAZ may jointly participate in the malignant transformation process of cervical cancer. AMOTL1 and YAP are closely related to prognosis and may become potential prognostic indicators for cervical cancer.
10.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

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