1.Bioinformatic and Mendelian Randomization Analyses of Correlation Between Differentially Expressed Genes and Prognosis of Oral Squamous Cell Carcinoma Patients
Maolin LIU ; Xiaona SONG ; Yaqi LIU ; Shuxuan SHI ; Guohua SONG
Cancer Research on Prevention and Treatment 2025;52(2):133-141
Objective Differentially expressed genes in oral squamous cell carcinoma (OSCC) were subjected to bioinformatic and Mendelian randomization analyses to elucidate their prognostic significance in OSCC. Methods The TCGA database and dataset GSE138206 were used to screen the common differential genes of OSCC, and their relationship was analyzed by using Mendelian randomization. The prognostic value of differential genes was further analyzed by Cox risk regression. The biological function of genes with high prognostic value was further evaluated by single gene differential analysis. Results A total of 147 common differential genes were screened from the two databases. Results of two-sample Mendelian randomization showed that GREM2 was associated with the increased risk of OSCC. In addition, SH3BGRL2 was associated with a decreased risk of OSCC, and DKK1, CCL11, and HOXC6 were considered as independent prognostic markers of OSCC. The predicted results of DKK1 were consistent with the actual results. KEGG enrichment analysis indicated the potential involvement of DKK1 in arachidonic acid and linoleic acid metabolism. Furthermore, DKK1 showed positive correlations with Tgd and Th2 cells, while displaying negative associations with PDC, Cytotoxic cells, Mast cells, CD8 T cells, TFH cells, B cells, T cells, and Th17 cells. Conclusion GREM2 is associated with an increased risk of OSCC. DKK1 is highly expressed in OSCC and associated with poor prognosis, which may be involved in regulating the metabolism of arachidonic acid and linoleic acid and immune cell invasion in OSCC.
2.Analysis of prognostic factors following hepatic resection for primary liver cancer
Chunlei LI ; Tiangqiang SONG ; Kun WANG ; Yaqi ZENG ; Jie DONG ; Yueying LI ; Yujie WANG ; Yuying LI ; Yajun CHEN
Chinese Journal of Hepatobiliary Surgery 2025;31(8):574-578
Objective:To analyze the factors influencing postoperative complications and survival in patients undergoing hepatectomy for primary liver cancer (PLC).Methods:Two hundred and eighty-eight patients with PLC who underwent hepatectomy at Tianjin Medical University Cancer Hospital from April 2018 to December 2020 were prospectively enrolled, including 235 males and 53 females, aged (58.5±9.5) years. Nutritional evaluations included the nutritional risk screening 2002 (NRS-2002), patient-generated subjective global assessment (PG-SGA), and physical metrics such as body mass index, handgrip strength, arm circumference, mid-arm muscle circumference (MAMC), and triceps skinfold thickness (TSF). Based on the occurrence of postoperative complications during hospitalization including abdominal infection, bleeding, bile leakage, intra-abdominal fluid accumulation, pulmonary infection, intestinal fistula, and wound dehiscence, patients were divided into two groups: the complication group ( n=205) and the non-complication group ( n=83). Multivariate logistic regression analysis was performed to identify the factors related to postoperative complications, while Cox proportional hazards regression was used to evaluate the impact of various variables on postoperative survival. Survival analysis was conducted using the Kaplan-Meier method, and differences in survival rates were compared using the log-rank test. Results:Compared with the non-complication group, patients in the complication group had a significantly longer postoperative hospital stay [13(8, 16) d vs. 7(5, 9) d], higher proportions of low MAMC [34.1% (24/83) vs. 20.0% (41/205)], lower grip strength [28.9% (24/83) vs. 17.6% (36/205)], higher incidence of intraoperative blood loss ≥200 ml [44.6% (37/83) vs. 22.0% (45/205)], and greater proportion of resection involving ≥3 liver segments [45.8% (38/83) vs. 26.3% (54/205)] (all P<0.05). Multivariate logistic regression analysis identified the low MAMC ( OR=2.01, 95% CI: 1.09-3.71, P=0.025), intraoperative blood loss ≥200 ml ( OR=2.75, 95% CI: 1.55-4.90, P=0.001), and resection involving ≥3 liver segments ( OR=2.02, 95% CI: 1.15-3.55, P=0.015) as independent risk factors for postoperative complications in patients undergoing hepatectomy for PLC. Multivariate Cox regression analysis revealed that low TSF ( HR=1.94, 95% CI: 1.01-3.72, P=0.047), low handgrip strength ( HR=2.23, 95% CI: 1.29-3.88, P=0.004), and resection involving ≥3 liver segments ( HR=1.96, 95% CI: 1.15-3.36, P=0.014) were risk factors associated with poor survival after surgery. Conclusions:Low MAMC, intraoperative blood loss ≥200 ml, and resection involving ≥3 liver segments are risk factors for postoperative complications in patients undergoing hepatectomy for PLC, while low TSF, reduced handgrip strength, and resection involving ≥3 liver segments are predictors of poor postoperative survival.
3.Development and validation of a DCE-MRI radiomics-based machine learning model for predicting HER-2 status in breast cancer
Yan ZHANG ; Zhijian ZHU ; Jihua HAN ; Honglei LUO ; Yaqi SONG ; Wei HUANG
Chinese Journal of Radiological Health 2025;34(6):811-818
Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.
4.Application of peritoneal dialysis in the treatment of critically ill neonates with acute kidney injury
Na CHEN ; Lina FU ; Yaqi MA ; Dongxing XIAO ; Li WANG ; Shuhua SONG ; Xiaoqin MA ; Yan WANG ; Na TIAN
Chinese Journal of Nephrology 2025;41(11):849-854
Objective:To evaluate the efficacy of peritoneal dialysis (PD) in the treatment of acute kidney injury (AKI) in critically ill neonates.Methods:It was a retrospective study. The baseline characteristic data, PD protocols, PD catheter placement methods and clinical outcomes of AKI neonates who underwent PD in the General Hospital of Ningxia Medical University between July 2015 and December 2024 were collected and analyzed.Results:(1) Among the 8 neonates with AKI, gestational age was (30.38±6.02) weeks, and birth weight was 1 397.5 (839.0, 2 312.5) g, with 6 premature infants. The time from birth to AKI onset was 144 (48, 294) hours. The leading cause of AKI was sepsis (6/8). The treatment time of PD was (93.12±37.20) hours. (2) Renal function recovery: After PD treatment, urine output was significantly increased ( Z=-3.29, P<0.001), and serum creatinine was significantly decreased ( t=2.66, P=0.032). (3) Hyperkalemia: Six out of 8 patients presented with hyperkalemia, which significantly decreased after PD treatment ( t=3.37, P=0.008). (4) Acid-base balance:Five out of 8 neonates had metabolic acidosis, and 3 of 5 neonates achieved basically complete correction (including lactic acidosis). There was no statistically significant difference in acid-base balance indicators before and after PD treatment (all P>0.05). (5) PD-related complications: Two out of 8 patients experienced peritoneal dialysate leakage, and no other PD-related complications occurred. (6) Outcomes: The hospital stay was 27.0 (8.0, 57.5) days. Four out of 8 neonates survived, while the other 4 neonates died after withdrawal of treatment. The primary cause was multiple organ failure. Conclusions:PD is a safe and effective treatment for neonatal AKI, facilitating early renal recovery and correction of electrolyte and acid-base imbalances.
5.P4HA1 mediates YAP hydroxylation and accelerates collagen synthesis in temozolomide-resistant glioblastoma.
Xueru LI ; Gangfeng YU ; Xiao ZHONG ; Jiacheng ZHONG ; Xiangyu CHEN ; Qinglong CHEN ; Jinjiang XUE ; Xi YANG ; Xinchun ZHANG ; Yao LING ; Yun XIU ; Yaqi DENG ; Hongda LI ; Wei MO ; Yong ZHU ; Ting ZHANG ; Liangjun QIAO ; Song CHEN ; Fanghui LU
Chinese Medical Journal 2025;138(16):1991-2005
BACKGROUND:
Temozolomide (TMZ) resistance is a significant challenge in treating glioblastoma (GBM). Collagen remodeling has been shown to be a critical factor for therapy resistance in other cancers. This study aimed to investigate the mechanism of TMZ chemoresistance by GBM cells reprogramming collagens.
METHODS:
Key extracellular matrix components, including collagens, were examined in paired primary and recurrent GBM samples as well as in TMZ-treated spontaneous and grafted GBM murine models. Human GBM cell lines (U251, TS667) and mouse primary GBM cells were used for in vitro studies. RNA-sequencing analysis, chromatin immunoprecipitation, immunoprecipitation-mass spectrometry, and co-immunoprecipitation assays were conducted to explore the mechanisms involved in collagen accumulation. A series of in vitro and in vivo experiments were designed to assess the role of the collagen regulators prolyl 4-hydroxylase subunit alpha 1 (P4HA1) and yes-associated protein (YAP) in sensitizing GBM cells to TMZ.
RESULTS:
This study revealed that TMZ exposure significantly elevated collagen type I (COL I) expression in both GBM patients and murine models. Collagen accumulation sustained GBM cell survival under TMZ-induced stress, contributing to enhanced TMZ resistance. Mechanistically, P4HA1 directly binded to and hydroxylated YAP, preventing ubiquitination-mediated YAP degradation. Stabilized YAP robustly drove collagen type I alpha 1 ( COL1A1) transcription, leading to increased collagen deposition. Disruption of the P4HA1-YAP axis effectively reduced COL I deposition, sensitized GBM cells to TMZ, and significantly improved mouse survival.
CONCLUSION
P4HA1 maintained YAP-mediated COL1A1 transcription, leading to collagen accumulation and promoting chemoresistance in GBM.
Temozolomide
;
Humans
;
Glioblastoma/drug therapy*
;
Animals
;
Mice
;
Cell Line, Tumor
;
Drug Resistance, Neoplasm/genetics*
;
YAP-Signaling Proteins
;
Hydroxylation
;
Dacarbazine/pharmacology*
;
Adaptor Proteins, Signal Transducing/metabolism*
;
Transcription Factors/metabolism*
;
Collagen/biosynthesis*
;
Collagen Type I/metabolism*
;
Prolyl Hydroxylases/metabolism*
;
Antineoplastic Agents, Alkylating/therapeutic use*
6.Changes of White Matter Microstructure in Breast Cancer Patients Undergoing Chemotherapy Based on Diffusion Tensor Imaging
Yuan LI ; Yaqi SONG ; Zhongru SUN ; Ning WANG ; Jianguo XIA ; Weizhong TIAN ; Mei LIN
Chinese Journal of Medical Imaging 2025;33(2):127-132
Purpose In this study,tract-based spatial statistical analysis was used to analyze the diffusion tensor imaging(DTI)data of breast cancer patients after chemotherapy,to observe the changes of white matter microstructure after chemotherapy and their correlation with neuropsychological cognitive test results,and to provide imaging markers for the evaluation of brain injury after chemotherapy for breast cancer.Materials and Methods A total of 29 patients with breast cancer before chemotherapy treatment and 30 patients with breast cancer after chemotherapy treatment were enrolled in the study from November 2022 to June 2023 in the Affiliated Taizhou People's Hospital of Nanjing Medical University.Neuropsychological cognitive test[Montreal cognitive assessment(MoCA),mini-mental state examination(MMSE)]and whole brain DTI examination were respectively performed in the two groups.Fractional anisotropy(FA)and mean diffusivity(MD)were used to compare the differences between the two groups at the structural level.The correlation between the results of DTI and neuropsychological cognitive test was analyzed.Results Compared with the patients with breast cancer before chemotherapy treatment group,patients with breast cancer after chemotherapy treatment group had decreased FA values in bilateral anterior corona radiata,superior corona radiata,corpus callosum body and genu,left posterior thalamic radiation,left external capsule,bilateral superior longitudinal fasciculus,and increased MD values in bilateral anterior corona radiata,superior corona radiata,right posterior corona radiata,corpus callosum body and genu,right posterior thalamic radiation,bilateral superior longitudinal fasciculus.The FA values of left superior corona radiata(r=0.302)and left external capsule(r=0.370)were positively correlated with MMSE results,and the FA values of left outer capsule(r=0.328)were positively correlated with MoCA results(all P<0.05).The MD values of corpus callosum body(r=-0.343)and genu(r=-0.378),left superior corona radiata(r=-0.311),right posterior corona radiata(r=-0.376),right posterior thalamic radiation(r=-0.341)and right superior longitudinal fasciculus(r=-0.392)were negatively correlated with MMSE results(all P<0.05).Conclusion In the chemotherapy group,FA and MD values in multiple brain regions are abnormal,and there is a certain correlation between FA and MD values in some brain regions and neurocognitive test results.The changes of FA and MD values in different brain areas may be potential imaging markers of the abnormal white matter microstructure in breast cancer patients treated with chemotherapy.
7.Analysis of prognostic factors following hepatic resection for primary liver cancer
Chunlei LI ; Tiangqiang SONG ; Kun WANG ; Yaqi ZENG ; Jie DONG ; Yueying LI ; Yujie WANG ; Yuying LI ; Yajun CHEN
Chinese Journal of Hepatobiliary Surgery 2025;31(8):574-578
Objective:To analyze the factors influencing postoperative complications and survival in patients undergoing hepatectomy for primary liver cancer (PLC).Methods:Two hundred and eighty-eight patients with PLC who underwent hepatectomy at Tianjin Medical University Cancer Hospital from April 2018 to December 2020 were prospectively enrolled, including 235 males and 53 females, aged (58.5±9.5) years. Nutritional evaluations included the nutritional risk screening 2002 (NRS-2002), patient-generated subjective global assessment (PG-SGA), and physical metrics such as body mass index, handgrip strength, arm circumference, mid-arm muscle circumference (MAMC), and triceps skinfold thickness (TSF). Based on the occurrence of postoperative complications during hospitalization including abdominal infection, bleeding, bile leakage, intra-abdominal fluid accumulation, pulmonary infection, intestinal fistula, and wound dehiscence, patients were divided into two groups: the complication group ( n=205) and the non-complication group ( n=83). Multivariate logistic regression analysis was performed to identify the factors related to postoperative complications, while Cox proportional hazards regression was used to evaluate the impact of various variables on postoperative survival. Survival analysis was conducted using the Kaplan-Meier method, and differences in survival rates were compared using the log-rank test. Results:Compared with the non-complication group, patients in the complication group had a significantly longer postoperative hospital stay [13(8, 16) d vs. 7(5, 9) d], higher proportions of low MAMC [34.1% (24/83) vs. 20.0% (41/205)], lower grip strength [28.9% (24/83) vs. 17.6% (36/205)], higher incidence of intraoperative blood loss ≥200 ml [44.6% (37/83) vs. 22.0% (45/205)], and greater proportion of resection involving ≥3 liver segments [45.8% (38/83) vs. 26.3% (54/205)] (all P<0.05). Multivariate logistic regression analysis identified the low MAMC ( OR=2.01, 95% CI: 1.09-3.71, P=0.025), intraoperative blood loss ≥200 ml ( OR=2.75, 95% CI: 1.55-4.90, P=0.001), and resection involving ≥3 liver segments ( OR=2.02, 95% CI: 1.15-3.55, P=0.015) as independent risk factors for postoperative complications in patients undergoing hepatectomy for PLC. Multivariate Cox regression analysis revealed that low TSF ( HR=1.94, 95% CI: 1.01-3.72, P=0.047), low handgrip strength ( HR=2.23, 95% CI: 1.29-3.88, P=0.004), and resection involving ≥3 liver segments ( HR=1.96, 95% CI: 1.15-3.36, P=0.014) were risk factors associated with poor survival after surgery. Conclusions:Low MAMC, intraoperative blood loss ≥200 ml, and resection involving ≥3 liver segments are risk factors for postoperative complications in patients undergoing hepatectomy for PLC, while low TSF, reduced handgrip strength, and resection involving ≥3 liver segments are predictors of poor postoperative survival.
8.Changes of White Matter Microstructure in Breast Cancer Patients Undergoing Chemotherapy Based on Diffusion Tensor Imaging
Yuan LI ; Yaqi SONG ; Zhongru SUN ; Ning WANG ; Jianguo XIA ; Weizhong TIAN ; Mei LIN
Chinese Journal of Medical Imaging 2025;33(2):127-132
Purpose In this study,tract-based spatial statistical analysis was used to analyze the diffusion tensor imaging(DTI)data of breast cancer patients after chemotherapy,to observe the changes of white matter microstructure after chemotherapy and their correlation with neuropsychological cognitive test results,and to provide imaging markers for the evaluation of brain injury after chemotherapy for breast cancer.Materials and Methods A total of 29 patients with breast cancer before chemotherapy treatment and 30 patients with breast cancer after chemotherapy treatment were enrolled in the study from November 2022 to June 2023 in the Affiliated Taizhou People's Hospital of Nanjing Medical University.Neuropsychological cognitive test[Montreal cognitive assessment(MoCA),mini-mental state examination(MMSE)]and whole brain DTI examination were respectively performed in the two groups.Fractional anisotropy(FA)and mean diffusivity(MD)were used to compare the differences between the two groups at the structural level.The correlation between the results of DTI and neuropsychological cognitive test was analyzed.Results Compared with the patients with breast cancer before chemotherapy treatment group,patients with breast cancer after chemotherapy treatment group had decreased FA values in bilateral anterior corona radiata,superior corona radiata,corpus callosum body and genu,left posterior thalamic radiation,left external capsule,bilateral superior longitudinal fasciculus,and increased MD values in bilateral anterior corona radiata,superior corona radiata,right posterior corona radiata,corpus callosum body and genu,right posterior thalamic radiation,bilateral superior longitudinal fasciculus.The FA values of left superior corona radiata(r=0.302)and left external capsule(r=0.370)were positively correlated with MMSE results,and the FA values of left outer capsule(r=0.328)were positively correlated with MoCA results(all P<0.05).The MD values of corpus callosum body(r=-0.343)and genu(r=-0.378),left superior corona radiata(r=-0.311),right posterior corona radiata(r=-0.376),right posterior thalamic radiation(r=-0.341)and right superior longitudinal fasciculus(r=-0.392)were negatively correlated with MMSE results(all P<0.05).Conclusion In the chemotherapy group,FA and MD values in multiple brain regions are abnormal,and there is a certain correlation between FA and MD values in some brain regions and neurocognitive test results.The changes of FA and MD values in different brain areas may be potential imaging markers of the abnormal white matter microstructure in breast cancer patients treated with chemotherapy.
9.Application of peritoneal dialysis in the treatment of critically ill neonates with acute kidney injury
Na CHEN ; Lina FU ; Yaqi MA ; Dongxing XIAO ; Li WANG ; Shuhua SONG ; Xiaoqin MA ; Yan WANG ; Na TIAN
Chinese Journal of Nephrology 2025;41(11):849-854
Objective:To evaluate the efficacy of peritoneal dialysis (PD) in the treatment of acute kidney injury (AKI) in critically ill neonates.Methods:It was a retrospective study. The baseline characteristic data, PD protocols, PD catheter placement methods and clinical outcomes of AKI neonates who underwent PD in the General Hospital of Ningxia Medical University between July 2015 and December 2024 were collected and analyzed.Results:(1) Among the 8 neonates with AKI, gestational age was (30.38±6.02) weeks, and birth weight was 1 397.5 (839.0, 2 312.5) g, with 6 premature infants. The time from birth to AKI onset was 144 (48, 294) hours. The leading cause of AKI was sepsis (6/8). The treatment time of PD was (93.12±37.20) hours. (2) Renal function recovery: After PD treatment, urine output was significantly increased ( Z=-3.29, P<0.001), and serum creatinine was significantly decreased ( t=2.66, P=0.032). (3) Hyperkalemia: Six out of 8 patients presented with hyperkalemia, which significantly decreased after PD treatment ( t=3.37, P=0.008). (4) Acid-base balance:Five out of 8 neonates had metabolic acidosis, and 3 of 5 neonates achieved basically complete correction (including lactic acidosis). There was no statistically significant difference in acid-base balance indicators before and after PD treatment (all P>0.05). (5) PD-related complications: Two out of 8 patients experienced peritoneal dialysate leakage, and no other PD-related complications occurred. (6) Outcomes: The hospital stay was 27.0 (8.0, 57.5) days. Four out of 8 neonates survived, while the other 4 neonates died after withdrawal of treatment. The primary cause was multiple organ failure. Conclusions:PD is a safe and effective treatment for neonatal AKI, facilitating early renal recovery and correction of electrolyte and acid-base imbalances.
10.Role of intestinal flora and 5-HT in depression- and anxiety-like behaviors in mice exposed to PM2.5
Jiajie TANG ; Jiaxue ZHENG ; Qian SONG ; Huiwen KANG ; Yaqi CUI ; Xuemei ZHANG ; Xuan SHANG ; Shoufang JIANG
Journal of Environmental and Occupational Medicine 2022;39(12):1343-1349
Background Some studies have shown that PM2.5 exposure is closely related to central nervous system diseases that lead to cognitive dysfunction and change the composition of intestinal flora. However, there are few studies on the role of intestinal flora in PM2.5-induced depression- and anxiety-like behaviors in mice. Objective To observe the effects of PM2.5 exposure on depression- and anxiety-like behaviors and the composition of intestinal flora in mice, and to explore the role of intestinal flora in regulating 5-hydroxytryptamine (5-HT) in depression- and anxiety-like behaviors in mice exposed to PM2.5. Methods Eight-week-old male SPF C57BL/6J mice were randomly divided into control group (NS group), probiotic group (LGG group), PM2.5 group (PM group), and combined exposure group (PML group), 6 mice in each group. Mice in the PM group and the PML group were exposed to PM2.5 in a dynamic exposure cabinet for 6 h per day, 6 d a week for 7 consecutive weeks, and the PM2.5 concentrations were approximately 8 times higher than the outdoor concentration. The LGG group and the PML group were orally administered with Lactobacillus rhamnosus while the NS group and the PM group were orally administered with the same amount of saline. Elevated plus maze test and open field test were used to detect depression and anxiety in mice. Fecal samples of mice were collected to evaluate intestinal flora abundance, diversity, and structure between groups using high-throughput sequencing of 16S rRNA. ELISA was employed to detect the levels of 5-HT in serum and hippocampus. Spearman correlation was used to analyze the correlations of differential intestinal flora with 5-HT level in hippocampus and depression- and anxiety-like behavior indicators in mice. Results The percentage of open-arm entry [M(P25, P75)] in the PM group was 0.0% (0.0%, 33.3%), lower than those in the NS group [47.7% (25.0%, 50.8%) ] and the PML group [46.9% (40.0%, 50.0%)], and the differences were statistically significant (P<0.05). The total travelled distance and the time spent in central area (

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