1.Small molecule deoxynyboquinone triggers alkylation and ubiquitination of Keap1 at Cys489 on Kelch domain for Nrf2 activation and inflammatory therapy
Linghu KE-GANG ; Zhang TIAN ; Zhang GUANG-TAO ; Lv PENG ; Zhang WEN-JUN ; Zhao GUAN-DING ; Xiong SHI-HANG ; Ma QIU-SHUO ; Zhao MING-MING ; Chen MEIWAN ; Hu YUAN-JIA ; Zhang CHANG-SHENG ; Yu HUA
Journal of Pharmaceutical Analysis 2024;14(3):401-415
Activation of nuclear factor erythroid 2-related factor 2(Nrf2)by Kelch-like ECH-associated protein 1(Keap1)alkylation plays a central role in anti-inflammatory therapy.However,activators of Nrf2 through alkylation of Keap1-Kelch domain have not been identified.Deoxynyboquinone(DNQ)is a natural small molecule discovered from marine actinomycetes.The current study was designed to investigate the anti-inflammatory effects and molecular mechanisms of DNQ via alkylation of Keap1.DNQ exhibited signif-icant anti-inflammatory properties both in vitro and in vivo.The pharmacophore responsible for the anti-inflammatory properties of DNQ was determined to be the α,β-unsaturated amides moieties by a chemical reaction between DNQ and N-acetylcysteine.DNQ exerted anti-inflammatory effects through activation of Nrf2/ARE pathway.Keap1 was demonstrated to be the direct target of DNQ and bound with DNQ through conjugate addition reaction involving alkylation.The specific alkylation site of DNQ on Keap1 for Nrf2 activation was elucidated with a synthesized probe in conjunction with liquid chromatography-tandem mass spectrometry.DNQ triggered the ubiquitination and subsequent degra-dation of Keap1 by alkylation of the cysteine residue 489(Cys489)on Keap1-Kelch domain,ultimately enabling the activation of Nrf2.Our findings revealed that DNQ exhibited potent anti-inflammatory capacity through α,β-unsaturated amides moieties active group which specifically activated Nrf2 signal pathway via alkylation/ubiquitination of Keap1-Kelch domain,suggesting the potential values of targeting Cys489 on Keap1-Kelch domain by DNQ-like small molecules in inflammatory therapies.
2.Analysis of influencing factors of early femoral head necrosis after femoral neck fracture and construction of nomo-gram prediction model
Zhi-Qiang FU ; Wei WANG ; Fei-Xiong HE ; Sheng-Kun HONG ; Wei-Jun ZHOU
China Journal of Orthopaedics and Traumatology 2024;37(7):694-699
Objective To explore the risk factors of early femoral head necrosis in patients with femoral neck fracture after operation,and to establish a nomogram prediction model.Methods A total of 167 patients with femoral neck fracture from Jan-uary 2020 to April 2022 were selected and divided into necrosis group and non-necrosis group according to whether femoral head necrosis occurred in the early postoperative period.There were 21 males and 17 females in the necrosis group,aged from 33 to 72 years old,with an average of(53.49±10.96)years old,and the time from injury to operation ranged from 40 to 67 hours,with average time of(53.46±7.23)hours.There were 72 males and 57 females in the non-necrosis group,aged from 18 to 83 years,with an average of(52.78±12.55)years old,and the time from injury to operation was 18 to 65 hours,with an aver-age time of(39.88±7.79)hours.The potential influencing factors,including patient gender,diabetes mellitus,hypertension,chronic liver disease,posterior inclination angle of the femoral head,operation mode,fracture displacement,fracture line loca-tion,preoperative braking traction,screw arrangement mode,reduction quality,age,body mass index(BMI),and injury to operation time were subjected to single factor analysis.Logistic multivariate regression analysis was conducted for factors with a significance level of P<0.05.Results The incidence of femoral head necrosis in 167 patients with femoral neck fracture was 22.76%.The following factors were identified as independent risk factors for early postoperative femoral head necrosis in pa-tients with femoral neck fractures:coexisting diabetes[OR=5.139,95%CI(1.405,18.793),P=0.013],displaced fracture[OR=3.723,95%CI(1.105,12.541),P=0.034],preoperative immobilization[OR=3.444,95%CI(1.038,11.427),P=0.043],quality of reduction[OR=3.524,95%CI(1.676,7.411),P=0.001],and time from injury to surgery[OR=1.270,95%CI(1.154,1.399),P=0.000].The Hosmer-Lemeshow goodness-of-fit test(x2=3.951,P=0.862),the area under the receiver operator characteristic(ROC)curve was 0.944[P<0.001,95%CI(0.903,0.987)],with a sensitivity of 89.50%,the specificity was 88.40%,the maxi-mum Youden index was 0.779,and the overall trend of the model correction curve was close to the ideal curve.Model regres-sion equation was Z=1.637 × diabetes+1.314× fracture displacement+1.237 × preoperative braking traction+1.260 × reduc-tion quality+0.239 ×injury to operation time-18.310.Conclusion The occurrence of early femoral head necrosis in patients with femoral neck fracture postoperatively is affected by multiple factors.The risk early warning model established according to the factors has good predictive efficacy.
3.Gene Analysis for the Sebaceous Carcinoma of Scalp by Whole Exome Sequencing
Ben-rong ZHENG ; Yi-na WANG ; Bo-xiong JIANG ; Ya-le LIANG ; Sheng-jun CAI ; Na-na ZHANG
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(4):712-717
ObjectiveTo reveal the differences of the related pathogenicity gene mutations between sebaceous adenocarcinoma (SC) of scalp and sebaceous adenoma (SA) of scalp on whole exome level. MethodsWhole exome sequencing was performed on a SC sample and a SA sample by Illumina Hiseq 2500 platform. Suspicious single nucleotide variation sites were selected for mutation conservation and functional analysis. SciClone was used to track subclone evolution and clonal map information was obtained for each tumor sample. The high-frequency significant gene mutations in the tumor sample were screened by MutSigCV software, and compared with the known driver genes. ResultsTwo driver genes TFDP1 and ACVR1B harboring mutations in scalp SC compared to SA were found. ConclusionsThe finding of mutation in driver genes TFDP1 and ACVR1B should be confirmed in a large cohort, which might reveal the mechanism of scalp SC development and find a therapeutic target for SC.
4.Identification of Human Body Fluid Stains and Non-Biological Stains by Three-Dimensional Fluorescence Spectroscopy.
Jing-Jing CHANG ; Hui ZHOU ; Jin ZHANG ; Xiao-Yu XU ; Feng WANG ; Sheng-Jun XIONG ; Guang-Feng ZHANG ; Xue-Ying YANG ; Kai-Hui LIU
Journal of Forensic Medicine 2023;39(1):40-44
OBJECTIVES:
To establish a rapid and nondestructive identification method for human body fluid stains and non-biological stains using three-dimensional fluorescence spectroscopy.
METHODS:
The collected three-dimensional fluorescence spectrum data of human saliva, 3% blood, coffee and Fanta® stains were processed with dimensionality reduction. After wavelet transform, spectral denoising and feature extraction, the classification formula was established. The Fisher discriminant was used for spectrum matching and recognition to establish the analysis method to distinguish stain types.
RESULTS:
According to the results of data training and comparison, all the recognition accuracies of Fanta®, coffee, saliva and blood were more than 91.39%. Among them, saliva reached 100% recognition accuracy.
CONCLUSIONS
Three-dimensional fluorescence spectroscopy is a potential method for rapid and nondestructive identification of biological and non-biological stains.
Humans
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Forensic Medicine/methods*
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Coloring Agents/analysis*
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Coffee
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Spectrometry, Fluorescence
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Body Fluids/chemistry*
5.Y-box-binding protein 1 mediates sorafenib resistance via the extracellular signal regulated-protein kinase pathway in hepatoma cells.
Ting LIU ; Xiaoli XIE ; Sheng Xiong CHEN ; Yi Jun WANG ; Hui Qing JIANG
Chinese Journal of Hepatology 2023;31(4):401-407
Objective: To investigate the effect and possible mechanism of Y-box-binding protein 1 (YB-1) on sorafenib resistance in hepatoma cells. Methods: Lentiviral vectors with YB-1 overexpression and knockdown were constructed, respectively, to stimulate human hepatoma cell lines (HepG2 and Huh7) alone or in combination with sorafenib.The overexpression part of the experiment was divided into four groups: overexpression control group (Lv-NC), YB-1 overexpression group (Lv-YB-1), overexpression control combined with sorafenib resistance group (Lv-NC+sorafenib), YB-1 overexpression combined with sorafenib resistance group (Lv-YB-1 + sorafenib). The knockdown part of the experiment was also divided into four groups: knockdown control group (Lv-shNC), YB-1 knockdown group (Lv-shYB-1), knockdown control combined with sorafenib resistance group (Lv-shNC + sorafenib), YB-1 knockdown combined with sorafenib resistance group (Lv-shYB-1 + sorafenib). The occurrence of cell apoptosis was detected by TUNEL. The protein expression levels of phosphorylated (p)-ERK and ERK, key proteins in the extracellular regulatory protein kinase (ERK) signaling pathway, were detected by Western blot and quantified by ImageJ software. Subcutaneous tumorigenesis experiments were performed in nude mice. The effect of YB-1 on the efficacy of sorafenib was verified in vivo. The comparison between the two sets of data was carried out by an independent sample t-test. One-way ANOVA was used for comparisons between the three groups of data above. Results: Sorafenib had accelerated the occurrence of apoptosis in hepatoma cells, while YB-1 overexpression had inhibited cell apoptosis, and at the same time also inhibited the apoptosis-accelerating impact of sorafenib. On the contrary, YB-1 knockdown accelerated cell apoptosis and amplified the induction effect of sorafenib on apoptosis. Furthermore, sorafenib resistance had down-regulated p-ERK levels (HepG2: Lv-NC 0.685 ± 0.143, Lv-NC + sorafenib 0.315 ± 0.168, P < 0.05; Huh7: Lv-NC 0.576 ± 0.078, Lv-NC + sorafenib 0.150 ± 0.131, P < 0.01), whereas YB-1 overexpression had inhibited sorafenib resistance p-ERK reduction (HepG2: Lv-NC + sorafenib 0.315 ± 0.168, Lv-YB-1 + sorafenib 0.688 ± 0.042, P < 0.05; Huh7: Lv-NC + sorafenib 0.150 ± 0.131, Lv-YB-1 + sorafenib 0.553 ± 0.041, P < 0.05). YB-1 knockdown further increased sorafenib-induced p-ERK downregulation (HepG2: Lv-shNC + sorafenib 0.911 ± 0.252, Lv-shYB-1 + sorafenib 0.500 ± 0.201, P < 0.05; Huh7: Lv-shNC + sorafenib 0.577 ± 0.082, Lv-shYB-1 + sorafenib 0.350 ± 0.143, P < 0.05), which was further verified in naked mice (Lv-shNC + sorafenib 0.812 ± 0.279, Lv-shYB-1 + sorafenib 0.352 ± 0.109, P < 0.05). Conclusion: YB-1 mediates the occurrence of sorafenib resistance via the ERK signaling pathway in hepatoma cells.
Humans
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Cell Line, Tumor
;
Sorafenib/pharmacology*
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Drug Resistance, Neoplasm
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Y-Box-Binding Protein 1/metabolism*
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Carcinoma, Hepatocellular/metabolism*
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MAP Kinase Signaling System
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Animals
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Mice
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Mice, Nude
6.Feasibility of a single-port thoracoscopy-assisted five-step laparoscopic procedure via transabdominal diaphragmatic approach for No.111 lymphadenectomy in patients with Siewert type II esophageal gastric junction adenocarcinoma.
Ze Yu LIN ; Hai Ping ZENG ; Ji Cai CHEN ; Wen jun XIONG ; Li Jie LUO ; Yan Sheng ZHENG ; Jin LI ; Hai Peng HUANG ; Wei WANG
Chinese Journal of Gastrointestinal Surgery 2023;26(4):339-345
Objective: We aimed to explore the feasibility of a single-port thoracoscopy- assisted five-step laparoscopic procedure via transabdominal diaphragmatic(TD) approach(abbreviated as five-step maneuver) for No.111 lymphadenectomy in patients with Siewert type II esophageal gastric junction adenocarcinoma (AEG). Methods: This was a descriptive case series study. The inclusion criteria were as follows: (1) age 18-80 years; (2) diagnosis of Siewert type II AEG; (3) clinical tumor stage cT2-4aNanyM0; (4) meeting indications of the transthoracic single-port assisted laparoscopic five-step procedure incorporating lower mediastinal lymph node dissection via a TD approach; (5) Eastern Cooperative Oncology Group performance status (ECOG PS) 0-1; and (6) American Society of Anesthesiologists classification I, II, or III. The exclusion criteria included previous esophageal or gastric surgery, other cancers within the previous 5 years, pregnancy or lactation, and serious medical conditions. We retrospectively collected and analyzed the clinical data of 17 patients (age [mean ± SD], [63.6±11.9] years; and 12 men) who met the inclusion criteria in the Guangdong Provincial Hospital of Chinese Medicine from January 2022 to September 2022. No.111 lymphadenectomy was performed using five-step maneuver as follows: superior to the diaphragm, starting caudad to the pericardium, along the direction of the cardio-phrenic angle and ending at the upper part of the cardio-phrenic angle, right to the right pleura and left to the fibrous pericardium , completely exposing the cardio-phrenic angle. The primary outcome includes the numbers of harvested and of positive No.111 lymph nodes. Results: Seventeen patients (3 proximal gastrectomy and 14 total gastrectomy) had undergone the five-step maneuver including lower mediastinal lymphadenectomy without conversion to laparotomy or thoracotomy and all had achieved R0 resection with no perioperative deaths. The total operative time was (268.2±32.9) minutes, and the lower mediastinal lymph node dissection time was (34.0±6.0) minutes. The median estimated blood loss was 50 (20-350) ml. A median of 7 (2-17) mediastinal lymph nodes and 2(0-6) No. 111 lymph nodes were harvested. No. 111 lymph node metastasis was identified in 1 patient. The time to first flatus occurred 3 (2-4) days postoperatively and thoracic drainage was used for 7 (4-15) days. The median postoperative hospital stay was 9 (6-16) days. One patient had a chylous fistula that resolved with conservative treatment. No serious complications occurred in any patient. Conclusion: The single-port thoracoscopy-assisted five-step laparoscopic procedure via a TD approach can facilitate No. 111 lymphadenectomy with few complications.
Male
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Female
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Humans
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Adolescent
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Young Adult
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Adult
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Middle Aged
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Aged
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Aged, 80 and over
;
Diaphragm/surgery*
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Retrospective Studies
;
Feasibility Studies
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Esophagogastric Junction/surgery*
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Lymph Node Excision/methods*
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Stomach Neoplasms/pathology*
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Laparoscopy/methods*
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Gastrectomy/methods*
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Esophageal Neoplasms/pathology*
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Adenocarcinoma/pathology*
;
Thoracoscopy
7.Expression and Significance of Lactate Dehydrogenase A in Renal Cell Carcinoma
Wen-han QIU ; Ding-zhun LIAO ; Yi-yu SHENG ; Hai-yun XIONG ; Jun LI
Journal of Sun Yat-sen University(Medical Sciences) 2023;44(5):816-822
ObjectiveTo analyze the expression of Lactate dehydrogenase A(LDHA) in both renal cell carcinoma (RCC) tissue and RCC cell lines, and to investigate the impact of LDHA expression on the progression of RCC. MethodsFrom June 2018 to June 2022, totally 52 cases of RCC tissue samples and 49 cases of para-cancerous tissue samples were collected through surgical procedures from our hospital. LDHA expression was detected using immunohistochemistry (IHC). The expression levels of LDHA in vitro were also detected in the normal human proximal tubule epithelial cell line HK-2 and renal cell carcinoma cell lines A498, Caki-2, ACHN, and 786-O by using qRT-PCR and Western blot. A recombinant plasmid carrying LDHA-shRNA was constructed and then transfected into 786-O cells to down-regulate the expression of LDHA. Tumor proliferative capacity was monitored using CCK-8 assay, clonal formation assay and EdU assessments. Additionally, cell glycolytic activity was assessed through glucose uptake assay, lactate secretion assay, and ECAR analysis. ResultsIHC analysis revealed significantly higher expression of LDHA in RCC tissue compared to adjacent tissues(P<0.05). Furthermore, RCC tissues with higher TNM stage exhibited greater expression of LDHA than those with lower TNM stage (P<0.05). The results of qRT-PCR and Western blot demonstrated that the expression of LDHA in each RCC cell line was significantly higher than that in HK-2(P<0.05). After blocking the expression of LDHA in 786-O, there was a significant down-regulation of cell proliferation and glycolysis capacity (P<0.05). ConclusionsThe expression of LDHA in RCC tissue and RCC cell lines is significantly overexpressed compared with normal one, particularly in those with higher TNM stage. Knockdown of the expression of LDHA significantly suppresses cell proliferation and aerobic glycolysis capacity in 786-O.
8.Chemical composition analysis and value evaluation of stems and leaves of Astragalus membranaceus var. mongholicus.
Qiang-Xiong WANG ; Sheng GUO ; Ke-Xin SHEN ; Hui-Wei LI ; Hao-Kuan ZHANG ; Yi-Jun XIE ; Er-Xin SHANG ; Jin-Ao DUAN
China Journal of Chinese Materia Medica 2023;48(24):6600-6612
This study aimed to provide data support for resource utilization of the stems and leaves of Astragalus membranaceus var. mongholicus(SLAM) by analyzing and evaluating the chemical constituents. The crude protein, crude fiber, and soluble saccharide of SLAM were analyzed by Kjeldahl method, filtration method, and UV-Vis spectrophotometry, respectively. The nucleosides, amino acids, flavonoids, and saponins of SLAM were analyzed by ultraperformance liquid chromatography-triple quadrupole mass spectrometry(UPLC-TQ-MS). Combined with principal component analysis(PCA), the quality difference of resource components of SLAM was comprehensively evaluated. The results showed that the average content of crude protein, crude fiber, total polysaccharide, and redu-cing sugar in SLAM was 5.11%, 30.33%, 11.03 mg·g~(-1), and 31.90 mg·g~(-1), respectively. Six nucleosides, 15 amino acids, 22 flavonoids, and one saponin were detected, with an average content of 1.49 mg·g~(-1), 6.00 mg·g~(-1), 1.86 mg·g~(-1), and 35.67 μg·g~(-1), respectively. The content of various types of chemical components in SLAM differed greatly in different harvesting periods and growing years. The results of PCA showed that the quality of SLAM produced in Ningxia was superior. The results can provide references for the utilization of SLAM.
Astragalus propinquus/chemistry*
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Gas Chromatography-Mass Spectrometry
;
Flavonoids/analysis*
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Plant Leaves/chemistry*
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Amino Acids
;
Saponins/analysis*
9.Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy.
Long Bin XIONG ; Xiang Peng ZOU ; Kang NING ; Xin LUO ; Yu Lu PENG ; Zhao Hui ZHOU ; Jun WANG ; Zhen LI ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU ; Zhi Ling ZHANG
Chinese Journal of Oncology 2023;45(8):681-689
Objective: To establish a nomogram prognostic model for predicting the 5-, 10-, and 15-year overall survival (OS) of non-metastatic renal cell carcinoma patients managed with radical nephrectomy (RN), compare the modelled results with the results of pure pathologic staging, the Karakiewicz nomogram and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score commonly used in foreign countries, and stratify the patients into different prognostic risk subgroups. Methods: A total of 1 246 non-metastatic renal cell carcinoma patients managed with RN in Sun Yat-sen University Cancer Center (SYSUCC) from 1999 to 2020 were retrospectively analyzed. Multivariate Cox regression analysis was used to screen the variables that influence the prognosis for nomogram establishment, and the bootstrap random sampling was used for internal validation. The time-receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve analysis (DCA) were applied to evaluate the nomogram. The prediction efficacy of the nomogram and that of the pure pathologic staging, the Karakiewicz nomogram and the SSIGN score was compared through the area under the curve (AUC). Finally, patients were stratified into different risk subgroups according to our nomogram scores. Results: A total of 1 246 patients managed with RN were enrolled in this study. Multivariate Cox regression analysis showed that age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological T and N stages were independent prognostic factors for RN patients (all P<0.05). A nomogram model named SYSUCC based on these factors was built to predict the 5-, 10-, and 15-year survival rate of the participating patients. In the bootstrap random sampling with 1 000 iterations, all these factors occurred for more than 800 times as independent predictors. The Harrell's concordance index (C-index) of SYSUCC was higher compared with pure pathological staging [0.770 (95% CI: 0.716-0.823) vs 0.674 (95% CI: 0.621-0.728)]. The calibration curve showed that the survival rate as predicted by the SYSUCC model simulated the actual rate, while the clinical DCA showed that the SYSUCC nomogram has a benefit in certain probability ranges. In the ROC analysis that included 857 patients with detailed pathological nuclear stages, the nomogram had a larger AUC (5-/10-year AUC: 0.823/0.804) and better discriminating ability than pure pathological staging (5-/10-year AUC: 0.701/0.658), Karakiewicz nomogram (5-/10-year AUC: 0.772/0.734) and SSIGN score (5-/10-year AUC: 0.792/0.750) in predicting the 5-/10-year OS of RN patients (all P<0.05). In addition, the AUC of the SYSUCC nomogram for predicting the 15-year OS (0.820) was larger than that of the SSIGN score (0.709), and there was no statistical difference (P<0.05) between the SYSUCC nomogram, pure pathological staging (0.773) and the Karakiewicz nomogram (0.826). The calibration curve was close to the standard curve, which indicated that the model has good predictive performance. Finally, patients were stratified into low-, intermediate-, and high-risk subgroups (738, 379 and 129, respectively) according to the SYSUCC nomogram scores, among whom patients in intermediate- and high-risk subgroups had a worse OS than patients in the low-risk subgroup (intermediate-risk group vs. low-risk group: HR=4.33, 95% CI: 3.22-5.81, P<0.001; high-risk group vs low-risk group: HR=11.95, 95% CI: 8.29-17.24, P<0.001), and the high-risk subgroup had a worse OS than the intermediate-risk group (HR=2.63, 95% CI: 1.88-3.68, P<0.001). Conclusions: Age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological stage were independent prognostic factors for non-metastasis renal cell carcinoma patients after RN. The SYSUCC nomogram based on these independent prognostic factors can better predict the 5-, 10-, and 15-year OS than pure pathological staging, the Karakiewicz nomogram and the SSIGN score of patients after RN. In addition, the SYSUCC nomogram has good discrimination, agreement, risk stratification and clinical application potential.
Humans
;
Nomograms
;
Retrospective Studies
;
Carcinoma, Renal Cell/pathology*
;
Prognosis
;
Risk Factors
;
Nephrectomy
;
Kidney Neoplasms/pathology*
;
Necrosis
10.Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy.
Long Bin XIONG ; Xiang Peng ZOU ; Kang NING ; Xin LUO ; Yu Lu PENG ; Zhao Hui ZHOU ; Jun WANG ; Zhen LI ; Chun Ping YU ; Pei DONG ; Sheng Jie GUO ; Hui HAN ; Fang Jian ZHOU ; Zhi Ling ZHANG
Chinese Journal of Oncology 2023;45(8):681-689
Objective: To establish a nomogram prognostic model for predicting the 5-, 10-, and 15-year overall survival (OS) of non-metastatic renal cell carcinoma patients managed with radical nephrectomy (RN), compare the modelled results with the results of pure pathologic staging, the Karakiewicz nomogram and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score commonly used in foreign countries, and stratify the patients into different prognostic risk subgroups. Methods: A total of 1 246 non-metastatic renal cell carcinoma patients managed with RN in Sun Yat-sen University Cancer Center (SYSUCC) from 1999 to 2020 were retrospectively analyzed. Multivariate Cox regression analysis was used to screen the variables that influence the prognosis for nomogram establishment, and the bootstrap random sampling was used for internal validation. The time-receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve analysis (DCA) were applied to evaluate the nomogram. The prediction efficacy of the nomogram and that of the pure pathologic staging, the Karakiewicz nomogram and the SSIGN score was compared through the area under the curve (AUC). Finally, patients were stratified into different risk subgroups according to our nomogram scores. Results: A total of 1 246 patients managed with RN were enrolled in this study. Multivariate Cox regression analysis showed that age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological T and N stages were independent prognostic factors for RN patients (all P<0.05). A nomogram model named SYSUCC based on these factors was built to predict the 5-, 10-, and 15-year survival rate of the participating patients. In the bootstrap random sampling with 1 000 iterations, all these factors occurred for more than 800 times as independent predictors. The Harrell's concordance index (C-index) of SYSUCC was higher compared with pure pathological staging [0.770 (95% CI: 0.716-0.823) vs 0.674 (95% CI: 0.621-0.728)]. The calibration curve showed that the survival rate as predicted by the SYSUCC model simulated the actual rate, while the clinical DCA showed that the SYSUCC nomogram has a benefit in certain probability ranges. In the ROC analysis that included 857 patients with detailed pathological nuclear stages, the nomogram had a larger AUC (5-/10-year AUC: 0.823/0.804) and better discriminating ability than pure pathological staging (5-/10-year AUC: 0.701/0.658), Karakiewicz nomogram (5-/10-year AUC: 0.772/0.734) and SSIGN score (5-/10-year AUC: 0.792/0.750) in predicting the 5-/10-year OS of RN patients (all P<0.05). In addition, the AUC of the SYSUCC nomogram for predicting the 15-year OS (0.820) was larger than that of the SSIGN score (0.709), and there was no statistical difference (P<0.05) between the SYSUCC nomogram, pure pathological staging (0.773) and the Karakiewicz nomogram (0.826). The calibration curve was close to the standard curve, which indicated that the model has good predictive performance. Finally, patients were stratified into low-, intermediate-, and high-risk subgroups (738, 379 and 129, respectively) according to the SYSUCC nomogram scores, among whom patients in intermediate- and high-risk subgroups had a worse OS than patients in the low-risk subgroup (intermediate-risk group vs. low-risk group: HR=4.33, 95% CI: 3.22-5.81, P<0.001; high-risk group vs low-risk group: HR=11.95, 95% CI: 8.29-17.24, P<0.001), and the high-risk subgroup had a worse OS than the intermediate-risk group (HR=2.63, 95% CI: 1.88-3.68, P<0.001). Conclusions: Age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological stage were independent prognostic factors for non-metastasis renal cell carcinoma patients after RN. The SYSUCC nomogram based on these independent prognostic factors can better predict the 5-, 10-, and 15-year OS than pure pathological staging, the Karakiewicz nomogram and the SSIGN score of patients after RN. In addition, the SYSUCC nomogram has good discrimination, agreement, risk stratification and clinical application potential.
Humans
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Nomograms
;
Retrospective Studies
;
Carcinoma, Renal Cell/pathology*
;
Prognosis
;
Risk Factors
;
Nephrectomy
;
Kidney Neoplasms/pathology*
;
Necrosis

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