Table of Content

25 October 2021, Volume 13 Issue 5 Previous Issue    Next Issue

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Trends in colorectal cancer mortality between rural and urban areas in Mainland China from 2004 to 2018 WEI Zhimin, JIANG Dongming, ZHAO Pei, LIU Donghong, ZHANG Lijuan, TAN Xiaojie, WANG Hao, YU Hongping, CAO Guangwen 2021, 13 (5):  447-451.  doi: 10.3969/j.issn.1674-5671.2021.05.01 Abstract ( 1248 )   PDF (616KB) ( 389 )   Save Objective To elucidate the epidemiological characteristics of colorectal cancer mortality from 2004 to 2018, and to provide useful data for the prevention and control of colorectal cancer morbidity and mortality. Methods The data of colorectal cancer deaths from 605 surveillance sites were collected from the Chinese Center for Disease Control and Prevention from 2004 to 2018. The data were stratified according to age, sex, and area and then used to calculate crude mortality rate (CMR), age-standardized mortality rate (ASMR), and the annual percent change (APC). Results  A total of 213, 513 patients died of colorectal cancer from 2004 to 2018, with the CMR and ASMR of 9.67/105 and 6.52/105, respectively. From 2004 to 2018, the CMR of colorectal cancer in China showed an increasing trend (APC=3.30%, P<0.001). There was no significant change in the ASMR of colorectal cancer in cities. The ASMR of colorectal cancer showed an increasing trend in eastern and western rural areas (APC=1.13%, P=0.004), whereas the ASMR of colorectal cancer in central rural areas showed a decreasing trend (APC=-1.22%, P=0.010). The CMR of colorectal cancer in males was higher than that in females (P<0.001).  The ASMR of colorectal cancer in urban females showed a decreasing trend (APC=-1.10%, P<0.001). The ASMR of colorectal cancer in urban residents aged 20-39 and 40-59 years showed decreasing trends (APC=-3.04%, P=0.007; APC=-1.98%, P=0.002). The ASMR of colorectal cancer in residents ≥60 years in rural areas showed an increasing trend (APC=0.86%, P=0.030). Conclusions  The mortality rate of colorectal cancer keeps increasing in Mainland China, and the mortality rate differ in populations with different age group, gender and geographic areas.- Prevention and control of colorectal cancer in rural areas should be strengthened in the future. Related Articles | Metrics

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Construction of a prognostic model of hepatocellular carcinoma based on enhancer RNA FAN Ahui, ZHANG Rui, ZHOU Jinchi, HE Yangsong, FAN Daiming, ZHAO Xiaodi, LU Yuanyuan 2021, 13 (5):  452-457.  doi: 10.3969/j.issn.1674-5671.2021.05.02 Abstract ( 1207 )   PDF (1044KB) ( 171 )   Save Objective To construct a prognostic model of hepatocellular carcinoma (HCC) based on enhancer RNA (eRNA), and identify the promising prognostic biomarker. Methods The expression profiles of eRNA and clinical data of HCC patients from the Cancer Genome Atlas (TCGA) database were downloaded to identify the key eRNAs. Lasso-Cox regression analysis was performed to construct the prognostic model. The time-dependent receiver operating characteristic (ROC) curve was used to evaluate the model discrimination, and survival analysis and enrichment analysis of key eRNA were performed. Results A total of 27 key eRNAs were screened out, of which 10 eRNAs were selected by Lasso-Cox regression to construct a prognostic prediction models. The AUC of time-dependent ROC curve at 1, 3 and 5 years were 0.73, 0.66 and 0.67, respectively. DCP1A was sinificantly associated with the prognosis of HCC patients, and was correlated with cancer status, pathological grade and clinical stage of HCC patients (all P<0.05). Enrichment analysis suggested that DCP1A was mainly located in the nucleus, participates in chromatin modification and other biological processes through the activities of helicase and ubiquitination, and was related to other cancer-related pathways. Conclusions The prognostic model based on eRNA can be used as an effective tool to predict the survival of HCC patients, and DCP1A may be a potential prognostic biomarker of HCC. Related Articles | Metrics

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Feasibility study of short tandem repeat genotyping to identify the origin of ultra?late recurrence of liver cancer after liver transplantation GUO Dezhen, HUANG Ao, ZHANG Shiyu, CHENG Jianwen, WANG Yupeng, YAN Jiayan, HUANG Xiaowu, FAN Jia, YANG Xinrong, ZHOU Jian 2021, 13 (5):  458-463.  doi: 10.3969/j.issn.1674-5671.2021.05.03 Abstract ( 1325 )   PDF (843KB) ( 230 )   Save Objective To analyze the feasibility of identifying the origin of ultra-late recurrence of liver cancer after liver transplantation  by short tandem repeat (STR) genotype. Methods The primary and recurrent lesion samples of one patient with ultra-advanced tumor recurrence after orthotopic liver transplantation in Zhongshan Hospital, Fudan University, were retrospective collected. 15 STR loci were amplified by PCR in vitro, and identified by analyzing the consistency of STR loci. Results The detection and comparison results of STR loci showed that 15 STR loci (D3S1358, vWA, D8S1179, D21S11, D18S51, D2S441, D19S433, TH01, FGA, D22S1045, D5S818, D13S317, D10S1248, D1S1656, and D12S391) in recurrent lesions were identical to those in primary lesions. with 2.28×1018 likelihood ratio. Thus, the possibility that the recurrent lesions was a new tumor was ruled out, and instead it was confirmed to be the recurrent tumor from primary lesion. Conclusions STR genotyping technology can effectively identify the origin of ultra-late recurrence after liver transplantation. Related Articles | Metrics

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Discussion on case selection criteria for transformation therapy of hepatocellular carcinoma Zhenyun, CHEN Minshan 2021, 13 (5):  464-468.  doi: 10.3969/j.issn.1674-5671.2021.05.04 Abstract ( 1743 )   PDF (375KB) ( 206 )   Save Related Articles | Metrics

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Progress in targeted immunotherapy for advanced cholangiocarcinoma based on biological behavior WANG Yunchao, YANG Xu, YANG Xiaobo, ZHAO Haitao 2021, 13 (5):  469-476.  doi: 10.3969/j.issn.1674-5671.2021.05.05 Abstract ( 1442 )   PDF (601KB) ( 353 )   Save 胆管癌；靶向治疗；免疫治疗 Related Articles | Metrics

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Clinical value of a nomogram based on preoperative Gd-EOB-DTPA-enhanced MRI in predicting post-hepatectomy liver failure after liver tumor resection LI Changfeng, WANG Qiang, QU Chengming, LI Xuesong, CAI Ping, ZHANG Leida, MA Kuansheng 2021, 13 (5):  477-483.  doi: 10.3969/j.issn.1674-5671.2021.05.06 Abstract ( 1166 )   PDF (684KB) ( 152 )   Save Objective To construct a nomogram model based on Gd-EOB-DTPA enhanced MRI and to investigate its clinical value in predicting post-hepatectomy liver failure (PHLF). Methods The clinical data of 117 hepatocellular carcinoma patients who underwent liver resection at the Department of Hepatobiliary Surgery, First Affiliated Hospital of Army Medical University from September 2019 to November 2020 were retrospectively analyzed. Liver-to-muscle ratio (LMR) was calculated by hepatobiliary phase images of preoperative Gd-EOB-DTPA enhanced MRI to quantitatively evaluate liver function. The independent predictors were screened by univariable and multivariable logistic regression analysis and the prediction model was constructed. Meanwhile, the receiver operating characteristic (ROC) curve and calibration curve were drawn. Results The univariable and multivariable logistic regression analysis showed that MELD score, surgical approach and LMR were independent factors in predicting PHLF (P<0.05). The area under the ROC curve of the model was 0.83, with sensitivity of 91.4% and specificity of 64.6%. The calibration curve showed a good consistency of the model. Conclusions The nomogram model constructed based on Gd-EOB-DTPA enhanced MRI and clinical predictors shows high accuracy in predicting liver failure after liver tumor surgery, and has potential clinical application value. Related Articles | Metrics

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Immune microenvironment of poorly differentiated hepatocellular carcinoma and its value in assessing the efficacy of PD-1 inhibitors YANG Kun, WU Kunjin, SHA Huanchen, ZHANG Xiaogang, LIU Chang, QU Kai 2021, 13 (5):  484-491.  doi: 10.3969/j.issn.1674?5671.2021.05.07 Abstract ( 169 )   PDF (1360KB) ( 222 )   Save Objective To analyze the prognostic differences of hepatocellular carcinoma (HCC) with different levels of differentiation and to assess the efficacy of immunotherapy on poorly differentiated HCC. Methods The data of SEER database and HCC patients who underwent surgical resection at the First Affiliated Hospital of Xi'an Jiaotong University were collected for the clinical data analysis. The immune microenvironment characteristics of poorly differentiated HCC were analyzed by TCGA-LIHC seq data, and the efficacy of immunotherapy was analyzed in combination with one patients with poorly differentiated HCC. Results The data of 4, 114 patients from SEER database and 590 patients from the First Affiliated Hospital of Xi'an Jiaotong University were collected, and the survival analysis showed that the overall survival of patients with poorly differentiated HCC was worse than that of patients with high-moderately differentiated HCC (P<0.001). WGCNA and pathway enrichment analysis showed that the gene pathways affecting HCC differentiation and prognosis were mainly enriched in the E2F1-related pathway, which also affected immune cell infiltration in tumor tissues. TCGA-LIHC seq data analysis confirmed the enrichment of CD8+ T lymphocytes and high PD-1 expression in poorly differentiated HCC. Clinical data analysis showed that one patient with poorly differentiated HCC achieved complete response status after receiving immunotherapy, suggesting that poorly differentiated HCC was a potential beneficiary for immunotherapy. Conclusions The poorly differentiated HCC has a poor prognosis. The characteristics of the immune microenvironment with highly infiltrated PD-1+CD8+T cells of poorly differentiated HCC implies that immunotherapy may achieve better outcome. Related Articles | Metrics

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Characteristics of immune microenvironment of TP53 mutant HBV-related hepatocellular carcinoma revealed by CyTOF ZHAN Guohua, HU Jiaxin, PAN Lixin, WANG Qiuyan, XIANG Bangde 2021, 13 (5):  492-499.  doi: 10.3969/j.issn.1674-5671.2021.05.08 Abstract ( 1130 )   PDF (2796KB) ( 256 )   Save Objective To investigate the characteristics of tumor immune microenvironment of TP53 mutant hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC).  Methods The living tissue samples and paired paracancerous tissue samples of 38 HCC patients who underwent hepatobiliary surgery in Hepatobiliary Surgery Department of Guangxi Medical University Cancer Hospital from 2018 to 2019 were collected, DNAs of tissues were extracted, and gene mutation was analyzed. Mass spectrometry flow cytometry (CyTOF) was used to compare the characteristics of the immune microenvironments in and between the cancer tissues and  paired paracancerous tissues of the TP53 mutated group and TP53 unmutated group. Results CyTOF was used to identify the immune cells in TP53 mutated group and TP53 unmutated group, and the results were identified as 22 cell subsets, including CD4+T-cell subsets, CD8+T-cell subsets, B-cell subsets, dendritic cell subsets, natural killer (NK) cell subsets, NKT cell subsets, granulocyte subsets and two unknown cell subsets. Among them, the expression ratio of CD8+T cells and CD4+T cells in TP53 mutated group was higher than that in TP53 unmutated group (2.26% vs 0.47%, P=0.028; 7.53% vs 3.55%, P=0.046). Conclusions The tumor immune microenvironment of TP53 mutant HBV-associated HCC has immune heterogeneity. Related Articles | Metrics

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Effect of circular RNA circUGGT2 on the proliferation,migration and invasion of colorectal cancer cells LAI Jiajun, ZHOU Xindong, HU Zhiwei, HE Shengquan, LI Dingyun, WENG Weiming, ZENG Deqiang, ZHU Xiaofeng, ZHANG Tao, LONG Fei 2021, 13 (5):  500-505.  doi: 10.3969/j.issn.1674-5671.2021.05.09 Abstract ( 241 )   PDF (804KB) ( 103 )   Save Objective To investigate the expression of circRNA circUGGT2 in colorectal cancer (CRC) and its effect on the proliferation, migration and invasion of CRC cells. Methods A total of 45 surgically resected CRC tissues and paracancerous tissues were collected from the Department of Gastrointestinal Surgery, Yue Bei People's Hospital between September 2018 and March 2019. The expression level of circUGGT2 in human normal colon epithelial cell line NCM460 and CRC cell lines HT29, HCT116, SW480 and SW620 was detected by qRT-PCR. The diagnostic efficacy of circUGGT2 was evaluated by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). The si-circUGGT2 and si-NC were transfected into SW480 cells, respectively. The cell proliferation was detected by CCK-8 assay and clone formation assay. The migration and invasion ability of the cells were detected by scratch experiment and Transwell assay. Results Compared with paracancerous tissues, circUGGT2 was highly expressed in CRC tissues (P<0.001), which was related to tumor size, infiltration depth and TNM stage of patients (all P<0.05); the AUC of circUGGT2 to diagnose CRC was 0.702. The expression level of circUGGT2 in the 4 CRC cells was higher than that in NCM460 cells (all P<0.001), especially in SW480 cells. Compared with the si-NC group, the proliferation rate and scratch healing rate of SW480 cells decreased after silencing circUGGT2 (all P<0.05), and the number of clone formation, migration and invasion cells were also significantly reduced (all P<0.05). Conclusions circUGGT2 is highly expressed in CRC, and silencing circUGGT2 can inhibit the proliferation, migration and invasion of CRC cells. circUGGT2 is a potential molecular target for diagnosis and treatment of CRC. Related Articles | Metrics

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Effects of miR-429 on proliferation of colorectal cancer cell line LOVO via targeting SAIH1 gene LI Shanshan, PEI Yang, ZHANG Wei, SUN Liying, JIANG Miao, SHANG Guoyin, NIU Sijia, MA Zhibin 2021, 13 (5):  506-511.  doi: 10.3969/j.issn.1674-5671.2021.05.10 Abstract ( 217 )   PDF (603KB) ( 108 )   Save Objective To investigate the effects of miR-429 targeting SIAH1 gene on the proliferation of colorectal cancer cell line LOVO. Methods The expression of miR-429 in the normal colonic epithelial cell line NCM460 and colorectal cancer cell lines SW480, LOVO and HT-29 were detected by qRT-PCR. miR-429 mimic and miR-429 negative control sequence (NC) were transfected into LOVO cells, and the control group was set. The target gene of miR-429 was predicted, and the targeting relationship was verified by the dual luciferase reporter assay. The expression level of SIAH1 protein was detected by Western blot, cell proliferation was detected by MTT assay, and the cell cycle distribution was detected by flow cytometry. Results qRT-PCR showed that, compared with NCM460 cells, the expression of miR-429 was decreased in all the colorectal cancer cell lines (all P<0.001). The dual luciferase reporter assay confirmed that SIAH1 had a targeting relationship with miR-429. Compared with the NC group, overexpression of miR-429 inhibited the expre-ssion of SIAH1 protein in LOVO cells (P<0.001), the cell cycle were blocked in G0G1 phase, and cell proliferative was reduced (P<0.001). Conclusions miR-429 can inhibit the proliferation of LOVO cells by targeting SIAH1 gene expression. Related Articles | Metrics

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Construction and validation of a novel immune-related prognostic signature of ovarian cancer HAO Lingji, ZHANG Zhe, DONG Xunhu 2021, 13 (5):  511-517.  doi: 10.3969/j.issn.1674-5671.2021.05.11 Abstract ( 529 )   PDF (2016KB) ( 259 )   Save Objective To construct a novel immune-related prognostic model of ovarian cancer and to preliminarily screen the prognostic biomarkers. Methods The ovarian cancer samples from the TCGA database were randomly divided into a training cohort and a testing cohort according to the ratio of 7∶3, with GSE26712 being external validate cohort. The immune-related differential expressed genes (IRDEGs) were analyzed by “limma” package and the prognostic IRDEGs were screened by univariable Cox regression. The signatures were constructed by robust LASSO and multivariable Cox regression. Additionally, the receiver operating characteristic (ROC) curves and C-index were employed to evaluate the signatures. A nomogram was established, and the prediction performance of the nomogram was evaluated by calibration curves and decision curves. Results The 11-gene signature (C5AR1, CX3CR1, CXCL11, CXCL13, IGF1, IL27RA, NFKBIB, PENK, PI3, PSMC1 and PSME3) was successfully constructed in the training cohort with C-index of 0.69, the area under curves (AUC) at 1-, 3- and 5-year were 0.67, 0.71 and 0.75, respectively. Multivariable Cox regression showed that the risk signature was an independent prognostic factor for ovarian cancer patients (HR=2.58, 95%CI=2.15-3.25). Based on the risk score, the nomogram signature was successfully constructed, agreeing well with calibration curves, and the decision curve showed that it had a positive net benefits in guiding clinical decision-making. Conclusions The novel immune-related prognosis signature constructed in this study has good efficacy in predicting the prognosis of ovarian cancer, and the related genes are the potential biomarkers for immunotherapy for ovarian cancer patients. Related Articles | Metrics

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Construction and verification of the prognosis evaluation model for patients in hepatocellular carcinoma with portal vein tumor thrombus after hepatectomy based on the nomogram ZHANG Lei, ZHAO Xiulei, KONG Deshuai, LI Jinchao, WANG Zhenyong, LIU Ruhai, CHAI Wei 2021, 13 (5):  518-523.  doi: 10.3969/j.issn.1674-5671.2021.05.12 Abstract ( 246 )   PDF (519KB) ( 118 )   Save Objective To analyze the factors affecting the prognosis of patients with hepatocellular carcinoma with portal vein tumor thrombosis (PVTT-HCC) after hepatectomy, and to construct and verify the prognostic evaluation model based on the nomogram model. Methods This retrospective cohort study selected patients with PVTT-HCC who underwent hepatectomy in Cangzhou Central Hospital from January 2008 to November 2017 as the research subjects, and the follow-up was as of January 2021. The main predicted outcome was the 1-, 3-, and 5-year overall survival rates. The patients were randomly divided into training cohort and validation cohort by a ratio of 7∶3. The Cox proportional hazard regression analysis was used to analyze the impact of prognosis in the training cohort, and a nomogram model was constructed based on the influencing factors. Meanwhile, C-index was used to evaluate the distinction of the model in both the training cohort and the validation cohort, and the consistency curve was used to evaluate the calibration of the model. Results A total of 231 patients met the inclusion and exclusion criteria, including 162 cases of the training cohort and 69 cases of the validation cohort. The Cox proportional hazard regression model showed that AFP≥400 μg/L, AST≥40 U/L, ALP≥80 U/L, number of tumors >1 and tumor envelope incompleteness were risk factors affecting the prognosis. The C-index of the nomogram model predicted that the 1-, 3-, and 5-year overall survival rates were 0.826 (95%CI: 0.791-0.861), 0.818 (95%CI: 0.782-0.854), and 0.781 (95%CI: 0.742-0.820), respectively, in the training cohort, and 0.814 (95%CI: 0.777-0.851), 0.798 (95%CI: 0.758-0.837), and 0.769 (95%CI: 0.728-0.810), respectively, in the validation cohort. The calibration curves showed that the nomogram model had a good calibration degree in both the training cohort and the validation cohort. Conclusions The nomogram model constructed in this study can accurately predict the prognosis of patients with PVTT-HCC. Related Articles | Metrics

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Construction and application of an early recurrence prediction model for pancreatic head cancer after radical pancreaticoduodenectomy ZHOU Yongxing, TAN Guanqiao, ZHOU Dawei 2021, 13 (5):  523-528.  doi: 10.3969/j.issn.1674-5671.2021.05.13 Abstract ( 205 )   PDF (515KB) ( 137 )   Save Objective To construct a nomogram model for predicting the early recurrence of pancreatic head cancer after radical pancreaticoduodenectomy and to evaluate its application value. Methods This retrospective cohort study selected patients who underwent radical pancreaticoduodenectomy for pancreatic head cancer in our hospital from June 2017 to July 2019 as the research objects. The outcome of the study was early postoperative recurrence. The influencing factors of early recurrence were analyzed by univariable and multivariable logistic regression, and a nomogram model was constructed based on the influencing factors. The discrimination of the nomogram model was evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC)  curve, the calibration was evaluated by the calibration curve and Hosmer-Lemeshow test, and the value of clinical application was evaluated by the decision curve. Results A total of 137 patients met the criteria were included in the final analysis. 58 patients (42.3%) had early recurrence after surgery. Multivariable logistic regression showed that tumor size ≥3 cm, preoperative CA19-9 level >37 U/mL, poorly differentiated tumor and the number of lymph node metastases >3 were risk factors affecting the early postoperative recurrence (all P<0.05). Based on these factors, a nomogram model was successfully constructed. The AUC was 0.807 (95%CI: 0.729-0.885). The Hosmer-Lemeshow test of the calibration curve showed that the model had a good calibration degree (P=0.569). The decision curve showed that the nomogram had good clinical application value, and intervention could be taken when the early recurrence probability reached 22%. Conclusions A nomogram model is successfully constructed for predicting the early recurrence of pancreatic head cancer after radical pancreaticoduodenectomy, and it is helpful in the early clinical screening and identification of patients at risk. Related Articles | Metrics

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Predictive value of preoperative inflammation indexes for the prognostis of hepatocellular carcinoma patients after hepatectomy FENG Qing, FANG Ji, CHEN Xuedan 2021, 13 (5):  529-534.  doi: 10.3969/j.issn.1674-5671.2021.05.14 Abstract ( 238 )   PDF (464KB) ( 123 )   Save Objective To investigate the value of preoperative inflammatory indexes, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and prognostic nutritional index (PNI), in predicting the prognosis of hepatocellular carcinoma (HCC) after hepatectomy. Methods This retrospective cohort study selected patients who underwent hepatectomy in the Third People's Hospital of Sichuan from June 2015 to March 2018 as the research subjects, and the follow-up was as of January 2021. The main outcome was overall survival (OS). The prognostic values of preoperative NLR, PLR and PNI were evaluated by restricted cubic spline, Cox proportional hazard regression model, time-dependent receiver operating characteristic (ROC) curve and nomogram. Results A total of 77 patients reached the standard analysis, including 59 males, with a median age of 51 years. The results of restricted cubic spline analysis showed that the death risk of HCC patients was linearly related to NLR, PLR, and PNI (non-linear P>0.05), and the Cox proportional hazard regression model showed that NLR, PLR, PNI, tumor differentiation degree and tumor envelope integrity were factors affecting OS. The AUC of 1-year and 3-year OS rates predicted by nomogram model constructed by NLR, PLR, PNI were greater than that of NLR, PLR, and PNI (all P<0.05). The AUC would be further improved after the combination of the degree of tumor differentiation and tumor envelope integrity (all P<0.05). Conclusions Preoperative inflammatory indexes NLR, PLR and PNI have good efficacy in predicting the prognosis of patients undergoing hepatectomy, and the combination of clinical factors can further improve the predictive performance. Related Articles | Metrics

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Long-term life quality of acute leukemia patients after allogeneic hematopoietic stem cell transplantation and its influencing factors PAN Zhaofang, ZHANG Xuan, FAN Jing 2021, 13 (5):  534-538.  doi: 10.3969/j.issn.1674-5671.2021.05.15 Abstract ( 244 )   PDF (518KB) ( 222 )   Save Objective To analyze the long-term life quality of patients with acute leukemia after allogeneic hematopoietic stem cell transplantation and its influencing factors. Methods The patients with acute leukemia who underwent allogeneic hematopoietic stem cell transplantation in the First Affiliated Hospital of Guangxi Medical University from January 2011 to December 2015 were prospectively recruited as the research subjects, and follow-up was up to June 2020. The case-control study was performed by one-to-one matching the patients with the control group chosen from the healthy population from June 2020 to July 2020 according to age (±2 years), gender, and marital status. The Chinese version of the SF-36 scale was used to evaluate the life quality of patients before transplantation, 1 year after transplantation, and 5 years after transplantation. Multiple linear regression analysis was used to analyze the factors affecting the patients' 5-year quality of life, and to compare with healthy people. Results A total of 104 patients were included in this study. The total score of life quality and all dimensions before transplantation were low, and decreased 1 year after transplantation, and gradually recovered 5 years after transplantation (all P<0.05). However, the life quality was still lower than that of the control group after 5 years (all dimensions P<0.05). Multiple linear regression analysis showed that the age of transplantation ≥32 years (β=-2.52, 95%CI: -3.61 to -1.21, P=0.041), graft versus-host disease (β=-3.25, 95%CI: -6.34 to -0.21, P=0.022) and transplant complications (β=-5.93, 95%CI: -9.71 to -1.24, P=0.037) were associated with poor 5-year life quality. Conclusions The life quality of patients with acute leukemia can be gradually improved after allogeneic hematopoietic stem cell transplantation. Actively taking measures to prevent and treat complications after transplantation will help patients return to the life quality level of healthy people. Related Articles | Metrics

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Analysis of factors influencing pregnancy after fertility sparing treatment for malignant ovarian germ cell tumors HU Mingmiao, CHEN Mengjie, LIANG Yuejuan, WANG He 2021, 13 (5):  539-543.  doi: 10.3969/j.issn.1674-5671.2021.05.16 Abstract ( 181 )   PDF (407KB) ( 196 )   Save Objective To investigate the pregnancy status of patients with malignant ovarian germ cell tumors (MOGCT) after fertility sparing treatment and its influencing factors. Methods A total of 72 MOGCT patients, who were admitted to the Guangxi Medical University Cancer Hospital and received fertility sparing treatment from December 2006 to March 2019, were selected as the research subjects. According to the pregnancy status after treatment, the patients were divided into pregnancy group and infertility group. The logistic regression was used to analyze the factors influencing pregnancy. Results  The pregnancy rate of 72 patients was 66.7%. The logistic regression results showed that lymph node removal, wedge removal of the contralateral ovary, and omentum removal were independent influence factors of pregnancy (all P<0.05). Conclusions The pregnancy rate of MOGCT patients with wedge removal of the contralateral ovary, lymph node removal and omentum removal was reduced after fertility sparing treatment, but the conclusion needs further confirmation. Related Articles | Metrics

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Effect of comprehensive insulation measures on rapid recovery of patients with Da Vinci robot-assisted radical esophageal cancer surgery XUE Juqin, DAI Li 2021, 13 (5):  543-547.  doi: 10.3969/j.issn.1674-5671.2021.05.17 Abstract ( 196 )   PDF (427KB) ( 151 )   Save Objective To investigate the effect of comprehensive insulation measures on the intraoperative/postoperative body temperature and postoperative recovery of patients. Methods A total of 60 patients who underwent Da Vinci robot-assisted radical resection of esophageal cancer in Shanghai Chest Hospital from July 2019 to February 2020 were selected as the research objects, and were randomly divided into the comprehensive insulation group (n=30) and the conventional insulation group (n=30). The two groups were compared based on the intraoperative body temperature, postoperative anesthesia recovery time, anesthesia extubation time, postoperative hospital stay and postoperative complications. Results The body temperature of the patients in the comprehensive insulation group was higher than that of the conventional insulation group at 1 h, 2 h and the end of surgery ［t1: (36.1±0.4) ℃ vs (36.7±0.3) ℃, t2: (35.6±0.4) ℃ vs (36.9±0.4) ℃, t3: (35.6±0.3) ℃ vs (37.1±0.3) ℃］. The anesthesia recovery time and anesthesia extubation time in the comprehensive insulation group were shorter than the conventional insulation group［(82.0±20.1) min vs (71.0±12.9) min; (49.9±17.5) min vs (41.2±9.2) min］, and the differences were statistically significant (all P<0.05). Conclusions Comprehensive insulation measures can reduce the incidence of hypothermia in patients with Da Vinci robot-assisted radical esophageal cancer surgery, shorten the recovery time, accelerate postoperative recovery, and play an active role in rapid rehabilitation and surgical treatment of esophageal cancer patients. Related Articles | Metrics

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Challenges and countermeasures of detecting ultra-low frequency mutations in tumors based on next-generation sequencing ZHANG Huanqin, LIU Yang, GUO Xu, XING Jinliang, QUAN Zhibo 2021, 13 (5):  553-558.  doi: 10.3969/j.issn.1674-5671.2021.05.18 Abstract ( 423 )   PDF (322KB) ( 553 )   Save Related Articles | Metrics

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Research progress of inflammatory factors and tumor-associated depression QIN Lei, YOU Xuemei 2021, 13 (5):  553-558.  doi: 10.3969/j.issn.1674-5671.2021.05.19 Abstract ( 150 )   PDF (355KB) ( 210 )   Save Related Articles | Metrics

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Research progress of neoadjuvant therapy for pathologic complete response of advanced gastric cancer WU Liucheng, CHENG Jiansi, QIN Yuzhou, HUANG Mingwei, JIN Qinwen 2021, 13 (5):  559-564.  doi: 10.3969/j.issn.1674-5671.2021.05.20 Abstract ( 284 )   PDF (386KB) ( 227 )   Save Related Articles | Metrics

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Research progress on clinical classification of nasopharyngeal carcinoma CHEN Sihao, ZHANG Shichuan, LI Churong, LYU Jianxia 2021, 13 (5):  564-568.  doi: 10.3969/j.issn.1674-5671.2021.05.21 Abstract ( 370 )   PDF (404KB) ( 347 )   Save Related Articles | Metrics