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Constructing a nomogram to predict overall survival of colon cancer based on computed tomography characteristics and clinicopathological factors
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作者 Zhe-Xing Hu Yin Li +6 位作者 Xuan Yang Yu-Xia Li Yao-Yao He Xiao-Hui Niu Ting-Ting Nie Xiao-Fang Guo Zi-Long Yuan 《World Journal of Gastrointestinal Oncology》 SCIE 2024年第10期4104-4114,共11页
BACKGROUND The colon cancer prognosis is influenced by multiple factors,including clinical,pathological,and non-biological factors.However,only a few studies have focused on computed tomography(CT)imaging features.The... BACKGROUND The colon cancer prognosis is influenced by multiple factors,including clinical,pathological,and non-biological factors.However,only a few studies have focused on computed tomography(CT)imaging features.Therefore,this study aims to predict the prognosis of patients with colon cancer by combining CT imaging features with clinical and pathological characteristics,and establishes a nomogram to provide critical guidance for the individualized treatment.AIM To establish and validate a nomogram to predict the overall survival(OS)of patients with colon cancer.METHODS A retrospective analysis was conducted on the survival data of 249 patients with colon cancer confirmed by surgical pathology between January 2017 and December 2021.The patients were randomly divided into training and testing groups at a 1:1 ratio.Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors associated with OS,and a nomogram model was constructed for the training group.Survival curves were calculated using the Kaplan–Meier method.The concordance index(C-index)and calibration curve were used to evaluate the nomogram model in the training and testing groups.RESULTS Multivariate logistic regression analysis revealed that lymph node metastasis on CT,perineural invasion,and tumor classification were independent prognostic factors.A nomogram incorporating these variables was constructed,and the C-index of the training and testing groups was 0.804 and 0.692,respectively.The calibration curves demonstrated good consistency between the actual values and predicted probabilities of OS.CONCLUSION A nomogram combining CT imaging characteristics and clinicopathological factors exhibited good discrimination and reliability.It can aid clinicians in risk stratification and postoperative monitoring and provide important guidance for the individualized treatment of patients with colon cancer. 展开更多
关键词 Colon cancer NOMOGRAM Prognosis overall survival Computed tomography CLINICOPATHOLOGY
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Risk stratification in gastric cancer lung metastasis: Utilizing an overall survival nomogram and comparing it with previous staging
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作者 Zhi-Ren Chen Mei-Fang Yang +4 位作者 Zhi-Yuan Xie Pei-An Wang Liang Zhang Ze-Hua Huang Yao Luo 《World Journal of Gastrointestinal Surgery》 SCIE 2024年第2期357-381,共25页
BACKGROUND Gastric cancer(GC)is prevalent and aggressive,especially when patients have distant lung metastases,which often places patients into advanced stages.By identifying prognostic variables for lung metastasis i... BACKGROUND Gastric cancer(GC)is prevalent and aggressive,especially when patients have distant lung metastases,which often places patients into advanced stages.By identifying prognostic variables for lung metastasis in GC patients,it may be po-ssible to construct a good prediction model for both overall survival(OS)and the cumulative incidence prediction(CIP)plot of the tumour.AIM To investigate the predictors of GC with lung metastasis(GCLM)to produce nomograms for OS and generate CIP by using cancer-specific survival(CSS)data.METHODS Data from January 2000 to December 2020 involving 1652 patients with GCLM were obtained from the Surveillance,epidemiology,and end results program database.The major observational endpoint was OS;hence,patients were se-parated into training and validation groups.Correlation analysis determined va-rious connections.Univariate and multivariate Cox analyses validated the independent predictive factors.Nomogram distinction and calibration were performed with the time-dependent area under the curve(AUC)and calibration curves.To evaluate the accuracy and clinical usefulness of the nomograms,decision curve analysis(DCA)was performed.The clinical utility of the novel prognostic model was compared to that of the 7th edition of the American Joint Committee on Cancer(AJCC)staging system by utilizing Net Reclassification Improvement(NRI)and Integrated Discrimination Improvement(IDI).Finally,the OS prognostic model and Cox-AJCC risk stratification model modified for the AJCC system were compared.RESULTS For the purpose of creating the OS nomogram,a CIP plot based on CSS was generated.Cox multivariate regression analysis identified eleven significant prognostic factors(P<0.05)related to liver metastasis,bone metastasis,primary site,surgery,regional surgery,treatment sequence,chemotherapy,radiotherapy,positive lymph node count,N staging,and time from diagnosis to treatment.It was clear from the DCA(net benefit>0),time-de-pendent ROC curve(training/validation set AUC>0.7),and calibration curve(reliability slope closer to 45 degrees)results that the OS nomogram demonstrated a high level of predictive efficiency.The OS prediction model(New Model AUC=0.83)also performed much better than the old Cox-AJCC model(AUC difference between the new model and the old model greater than 0)in terms of risk stratification(P<0.0001)and verification using the IDI and NRI.CONCLUSION The OS nomogram for GCLM successfully predicts 1-and 3-year OS.Moreover,this approach can help to ap-propriately classify patients into high-risk and low-risk groups,thereby guiding treatment. 展开更多
关键词 Gastric cancer Lung metastasis NOMOGRAMS SURVEILLANCE EPIDEMIOLOGY Surveillance epidemiology and end results program database overall survival Prognosis
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Fibrinogen-to-albumin ratio predicts overall survival of hepatocellular carcinoma 被引量:1
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作者 Hao Sun Jie Ma +6 位作者 Jian Lu Zhi-Hong Yao Hai-Liang Ran Hai Zhou Zhong-Qin Yuan Yun-Chao Huang Yuan-Yuan Xiao 《World Journal of Gastrointestinal Oncology》 SCIE 2023年第9期1662-1672,共11页
BACKGROUND Fibrinogen-to-albumin ratio(FAR)has been found to be of prognostic significance for several types of malignant tumors.However,less is known about the association between FAR and survival outcomes in hepatoc... BACKGROUND Fibrinogen-to-albumin ratio(FAR)has been found to be of prognostic significance for several types of malignant tumors.However,less is known about the association between FAR and survival outcomes in hepatocellular carcinoma(HCC)patients.AIM To explore the association between FAR and prognosis and survival in patients with HCC.METHODS A total of 366 histologically confirmed HCC patients diagnosed between 2013 and 2018 in a provincial cancer hospital in southwestern China were retrospectively selected.Relevant data were extracted from the hospital information system.The optimal cutoff for baseline serum FAR measured upon disease diagnosis was established using the receiver operating characteristic(ROC)curve.Univariate and multivariate Cox proportional hazards models were used to determine the crude and adjusted associations between FAR and the overall survival(OS)of the HCC patients while controlling for various covariates.The restricted cubic spline(RCS)was applied to estimate the dose-response trend in the FAR-OS association.RESULTS The optimal cutoff value for baseline FAR determined by the ROC was 0.081.Multivariate Cox proportional hazards model revealed that a lower baseline serum FAR level was associated with an adjusted hazard ratio of 2.43(95%confidence interval:1.87–3.15)in the OS of HCC patients,with identifiable dose-response trend in the RCS.Subgroup analysis showed that this FAR-OS association was more prominent in HCC patients with a lower baseline serum aspartate aminotransferase or carbohydrate antigen 125 level.CONCLUSION Serum FAR is a prominent prognostic indicator for HCC.Intervention measures aimed at reducing FAR might result in survival benefit for HCC patients. 展开更多
关键词 Fibrinogen-to-albumin ratio Hepatocellular carcinoma overall survival Survival analysis Cox proportional hazards model
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Nomogram based on clinical characteristics for predicting overall survival in gastric cancer patients with preoperative anemia 被引量:1
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作者 Yan Long Xiao-Lu Zhou +2 位作者 Cheng-Long Zhang Ya-Nan Wang Wen-Sheng Pan 《World Journal of Gastrointestinal Surgery》 SCIE 2023年第7期1375-1387,共13页
BACKGROUND Preoperative anemia is associated with increased postoperative morbidity and mortality and increased perioperative transfusion risk.For surgical patients,this affects physical and cognitive ability and qual... BACKGROUND Preoperative anemia is associated with increased postoperative morbidity and mortality and increased perioperative transfusion risk.For surgical patients,this affects physical and cognitive ability and quality of life,but it is an important and modifiable risk factor.AIM To determine the effect of preoperative anemia on the prognosis of gastric cancer(GC)patients and generate a prognostic nomogram to predict the postoperative overall survival(OS)of GC patients with preoperative anemia.METHODS Clinicopathological and follow-up data of GC patients treated at Zhejiang Provincial People's Hospital(China)from 2010 to 2015 were collected.Independent prognostic factors were screened by univariate and multivariate Cox regression analyses.Then,these factors were used to construct a nomogram to predict 1-,3-,and 5-year postoperative OS in preoperative anemic GC patients.The nomogram was assessed by calibration curves,receiver operating characteristic(ROC)curves,and decision curve analysis(DCA).RESULTS Nine hundred and sixty GC patients were divided into two groups(preoper atively anemic and nonanemic),and postoperative survival analysis was performed on both groups,yielding a shorter postoperative survival for preoperatively anemic patients than for nonanemic patients.A total of 347 GC patients with preoperative anemia were included.Age,preoperative alpha-fetoprotein level,monocyte count,lymphocyte count,clinicopathological stage,liver metastasis,and GC type were identified as independent prognostic factors for OS.The area under the ROC curve(AUC)of the nomogram for predicting 1-,3-,and 5-year OS was 0.831,0.845,and 0.840,respectively,for the training cohort,and the corresponding AUC values in the validation cohort were 0.827,0.829,and 0.812,respectively.Calibration curves and DCA indicated good performance of the nomogram.CONCLUSION In all,we have successfully produced and verified a useful nomogram for predicting OS in GC patients with preoperative anemia.This nomogram based on a variety of clinicopathological indices can provide an effective prognostic assessment and help clinicians choose an appropriate treatment strategy for GC patients with preoperative anemia. 展开更多
关键词 ANEMIA Gastric cancer NOMOGRAM overall survival
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Nomogram model predicting the overall survival for patients with primary gastric mucosa-associated lymphoid tissue lymphoma
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作者 Dan Wang Xin-Lin Shi +1 位作者 Wei Xu Rui-Hua Shi 《World Journal of Gastrointestinal Oncology》 SCIE 2023年第3期533-545,共13页
BACKGROUND Increasingly extranodal marginal B-cell lymphoma of mucosa-associated lymphoid tissue,known as mucosa-associated lymphoid tissue(MALT)lymphoma,is a type of non-Hodgkin’s lymphoma.The prognosis of primary g... BACKGROUND Increasingly extranodal marginal B-cell lymphoma of mucosa-associated lymphoid tissue,known as mucosa-associated lymphoid tissue(MALT)lymphoma,is a type of non-Hodgkin’s lymphoma.The prognosis of primary gastric MALT(GML)patients can be affected by many factors.Clinical risk factors,including age,type of therapy,sex,stage and family hematologic malignancy history,also have significant effects on the development of the disease.The available data are mainly focused on epidemiology;in contrast,few studies have investigated the prognostic variables for overall survival(OS)in patients with primary GML.Based on the realities above,we searched a large amount of data on patients diagnosed with primary GML in the Surveillance,Epidemiology and End Results(SEER)database.The aim was to develop and verify a survival nomogram model that can predict the overall survival prognosis of primary GML by com-bining prognostic and determinant variables.AIM To create an effective survival nomogram for patients with primary gastric GML.METHODS All data of patients with primary GML from 2004 to 2015 were collected from the SEER database.The primary endpoint was OS.Based on the LASSO and COX regression,we created and further verified the accuracy and effectiveness of the survival nomogram model by the concordance index(C-index),calibration curve and timedependent receiver operating characteristic(td-ROC)curves.RESULTS A total of 2604 patients diagnosed with primary GML were selected for this study.A total of 1823 and 781 people were randomly distributed into the training and testing sets at a ratio of 7:3.The median follow-up of all patients was 71 mo,and the 3-and 5-year OS rates were 87.2%and 79.8%,respectively.Age,sex,race,Ann Arbor stage and radiation were independent risk factors for OS of primary GML(all P<0.05).The C-index values of the nomogram were 0.751(95%CI:0.729-0.773)and 0.718(95%CI:0.680-0.757)in the training and testing cohorts,respectively,showing the good discrimination ability of the nomogram model.Td-ROC curves and calibration plots also indicated satisfactory predictive power and good agreement of the model.Overall,the nomogram shows favorable performance in discriminating and predicting the OS of patients with primary GML.CONCLUSION A nomogram was developed and validated to have good survival predictive performance based on five clinical independent risk factors for OS for patients with primary GML.Nomograms are a low-cost and convenient clinical tool in assessing individualized prognosis and treatment for patients with primary GML. 展开更多
关键词 Primary gastric mucosa-associated lymphoid tissue lymphoma NOMOGRAM PROGNOSIS overall survival SEER database
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GATIS score for predicting the prognosis of rectal neuroendocrine neoplasms:A Chinese multicenter study of 12-year experience 被引量:1
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作者 Xin-Yu Zeng Ming Zhong +13 位作者 Guo-Le Lin Cheng-Guo Li Wei-Zhong Jiang Wei Zhang Li-Jian Xia Mao-Jun Di Hong-Xue Wu Xiao-Feng Liao Yue-Ming Sun Min-Hao Yu Kai-Xiong Tao Yong Li Rui Zhang Peng Zhang 《World Journal of Gastroenterology》 SCIE CAS 2024年第28期3403-3417,共15页
BACKGROUND There is currently a shortage of accurate,efficient,and precise predictive instruments for rectal neuroendocrine neoplasms(NENs).AIM To develop a predictive model for individuals with rectal NENs(R-NENs)usi... BACKGROUND There is currently a shortage of accurate,efficient,and precise predictive instruments for rectal neuroendocrine neoplasms(NENs).AIM To develop a predictive model for individuals with rectal NENs(R-NENs)using data from a large cohort.METHODS Data from patients with primary R-NENs were retrospectively collected from 17 large-scale referral medical centers in China.Random forest and Cox proportional hazard models were used to identify the risk factors for overall survival and progression-free survival,and two nomograms were constructed.RESULTS A total of 1408 patients with R-NENs were included.Tumor grade,T stage,tumor size,age,and a prognostic nutritional index were important risk factors for prognosis.The GATIS score was calculated based on these five indicators.For overall survival prediction,the respective C-indexes in the training set were 0.915(95%confidence interval:0.866-0.964)for overall survival prediction and 0.908(95%confidence interval:0.872-0.944)for progression-free survival prediction.According to decision curve analysis,net benefit of the GATIS score was higher than that of a single factor.The time-dependent area under the receiver operating characteristic curve showed that the predictive power of the GATIS score was higher than that of the TNM stage and pathological grade at all time periods.CONCLUSION The GATIS score had a good predictive effect on the prognosis of patients with R-NENs,with efficacy superior to that of the World Health Organization grade and TNM stage. 展开更多
关键词 Rectal neuroendocrine neoplasm NOMOGRAM Random forest PROGNOSIS overall survival Progression-free survival
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Evaluating the influence of sarcopenia and myosteatosis on clinical outcomes in gastric cancer patients undergoing immune checkpoint inhibitor 被引量:1
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作者 Gui-Ming Deng Hai-Bin Song +3 位作者 Zhong-Ze Du Ying-Wei Xue Hong-Jiang Song Yuan-Zhou Li 《World Journal of Gastroenterology》 SCIE CAS 2024年第8期863-880,共18页
BACKGROUND The development and progression of gastric cancer(GC)are closely linked to the nutritional status of patients.Although immunotherapy has been demonstrated to be clinically effective,the relationships of sar... BACKGROUND The development and progression of gastric cancer(GC)are closely linked to the nutritional status of patients.Although immunotherapy has been demonstrated to be clinically effective,the relationships of sarcopenia and myosteatosis with the use of immune checkpoint inhibitors(ICIs)in patients with gastric cancer remain to be characterized.METHODS We performed a retrospective study of patients who were undergoing immuno-therapy for GC.For the evaluation of sarcopenia,the optimal cut-off value for the skeletal muscle index was established using receiver operating characteristic analysis of data obtained from pre-treatment computed tomography images at the L3 vertebral level.Myosteatosis was defined using the mean skeletal muscle density(SMD),with a threshold value of<41 Hounsfield units(HU)for patients with a body mass index(BMI)<25 kg/m^(2)and<33 HU for those with a BMI≥25 kg/m^(2).The log-rank test was used to compare progression-free survival(PFS)and overall survival(OS),and a Cox proportional hazard model was used to identify prognostic factors.Nomograms were developed to predict the PFS and OS of patients on the basis of the results of multivariate analyses.RESULTS We studied 115 patients who were undergoing ICI therapy for GC,of whom 27.4%had sarcopenia and 29.8%had myosteatosis.Patients with sarcopenia or myosteatosis had significantly shorter PFS and OS than those without these conditions.Furthermore,both sarcopenia and myosteatosis were found to be independent predictors of PFS and OS in patients with GC administering an ICI.The prediction models created for PFS and OS were associated with C-indexes of 0.758 and 0.781,respectively.CONCLUSION The presence of sarcopenia or myosteatosis is a reliable predictor of the clinical outcomes of patients with GC who are undergoing treatment with an ICI. 展开更多
关键词 Gastric cancer SARCOPENIA Myosteatosis Immune checkpoint inhibitor Prognostic factor overall survival Progression-free survival
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Identifying and validating MMP family members(MMP2,MMP9,MMP12,and MMP16)as therapeutic targets and biomarkers in kidney renal clear cell carcinoma(KIRC) 被引量:1
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作者 KUNLUN LI DANDAN LI +7 位作者 BARBOD HAFEZ MOUNIR M.SALEM BEKHIT YOUSEF A.BIN JARDAN FARS KAED ALANAZI EHAB I.TAHA SAYED H.AUDA FAIQAH RAMZAN MUHAMMAD JAMIL 《Oncology Research》 SCIE 2024年第4期737-752,共16页
Kidney Renal Clear Cell Carcinoma(KIRC)is a malignant tumor that carries a substantial risk of morbidity and mortality.The MMP family assumes a crucial role in tumor invasion and metastasis.This study aimed to uncover... Kidney Renal Clear Cell Carcinoma(KIRC)is a malignant tumor that carries a substantial risk of morbidity and mortality.The MMP family assumes a crucial role in tumor invasion and metastasis.This study aimed to uncover the mechanistic relevance of the MMP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma(KIRC)through a comprehensive approach encompassing both computational and molecular analyses.STRING,Cytoscape,UALCAN,GEPIA,OncoDB,HPA,cBioPortal,GSEA,TIMER,ENCORI,DrugBank,targeted bisulfite sequencing(bisulfite-seq),conventional PCR,Sanger sequencing,and RT-qPCR based analyses were used in the present study to analyze MMP gene family members to accurately determine a few hub genes that can be utilized as both therapeutic targets and diagnostic biomarkers for KIRC.By performing STRING and Cytohubba analyses of the 24 MMP gene family members,MMP2(matrix metallopeptidase 2),MMP9(matrix metallopeptidase 9),MMP12(matrix metallopeptidase 12),and MMP16(matrix metallopeptidase 16)genes were denoted as hub genes having highest degree scores.After analyzing MMP2,MMP9,MMP12,and MMP16 via various TCGA databases and RT-qPCR technique across clinical samples and KIRC cell lines,interestingly,all these hub genes were found significantly overexpressed at mRNA and protein levels in KIRC samples relative to controls.The notable effect of the up-regulated MMP2,MMP9,MMP12,and MMP16 was also documented on the overall survival(OS)of the KIRC patients.Moreover,targeted bisulfite-sequencing(bisulfite-seq)analysis revealed that promoter hypomethylation pattern was associated with up-regulation of hub genes(MMP2,MMP9,MMP12,and MMP16).In addition to this,hub genes were involved in various diverse oncogenic pathways.The MMP gene family members(MMP2,MMP9,MMP12,and MMP16)may serve as therapeutic targets and prognostic biomarkers in KIRC. 展开更多
关键词 KIRC MMP gene family CHEMOTHERAPY overall survival
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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis
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作者 Gui-Xiang Qian Zi-Ling Xu +4 位作者 Yong-Hai Li Jian-Lin Lu Xiang-Yi Bu Ming-Tong Wei Wei-Dong Jia 《World Journal of Gastroenterology》 SCIE CAS 2024年第15期2128-2142,共15页
BACKGROUND The prognosis for hepatocellular carcinoma(HCC)in the presence of cirrhosis is unfavourable,primarily attributable to the high incidence of recurrence.AIM To develop a machine learning model for predicting ... BACKGROUND The prognosis for hepatocellular carcinoma(HCC)in the presence of cirrhosis is unfavourable,primarily attributable to the high incidence of recurrence.AIM To develop a machine learning model for predicting early recurrence(ER)of posthepatectomy HCC in patients with cirrhosis and to stratify patients’overall survival(OS)based on the predicted risk of recurrence.METHODS In this retrospective study,214 HCC patients with cirrhosis who underwent curative hepatectomy were examined.Radiomics feature selection was conducted using the least absolute shrinkage and selection operator and recursive feature elimination methods.Clinical-radiologic features were selected through univariate and multivariate logistic regression analyses.Five machine learning methods were used for model comparison,aiming to identify the optimal model.The model’s performance was evaluated using the receiver operating characteristic curve[area under the curve(AUC)],calibration,and decision curve analysis.Additionally,the Kaplan-Meier(K-M)curve was used to evaluate the stratification effect of the model on patient OS.RESULTS Within this study,the most effective predictive performance for ER of post-hepatectomy HCC in the background of cirrhosis was demonstrated by a model that integrated radiomics features and clinical-radiologic features.In the training cohort,this model attained an AUC of 0.844,while in the validation cohort,it achieved a value of 0.790.The K-M curves illustrated that the combined model not only facilitated risk stratification but also exhibited significant discriminatory ability concerning patients’OS.CONCLUSION The combined model,integrating both radiomics and clinical-radiologic characteristics,exhibited excellent performance in HCC with cirrhosis.The K-M curves assessing OS revealed statistically significant differences. 展开更多
关键词 Machine learning Radiomics Hepatocellular carcinoma CIRRHOSIS Early recurrence overall survival Computed tomography Prognosis Risk factor Delta-radiomics
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Stability and variability of molecular subtypes:comparative analysis of primary and metastatic triple-negative breast cancer
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作者 Xiuzhi Zhu Xiaohan Ying +6 位作者 Yin Liu Yunyi Wang Li Chen Zhiming Shao Xi Jin Yizhou Jiang Zhonghua Wang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2024年第9期784-798,共15页
Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Method... Objective:Triple-negative breast cancer(TNBC)is a heterogeneous and aggressive cancer.Although our previous study classified primary TNBC into four subtypes,comprehensive longitudinal investigations are lacking.Methods:We assembled a large-scale,real-world cohort comprised of 880 TNBC patients[465 early-stage TNBC(eTNBC)and 415 metastatic TNBC(mTNBC)patients]who were treated at Fudan University Shanghai Cancer Center.The longitudinal dynamics of TNBC subtypes during disease progression were elucidated in this patient cohort.Comprehensive analysis was performed to compare primary and metastatic lesions within specific TNBC subtypes.Results:The recurrence and metastasis rates within 3 years after initial diagnosis in the eTNBC cohort were 10.1%(47/465).The median overall survival(OS)in the mTNBC cohort was 27.2 months[95%confidence interval(CI),24.4–30.2 months],which indicated a poor prognosis.The prognostic significance of the original molecular subtypes in both eTNBC and mTNBC patients was confirmed.Consistent molecular subtypes were maintained in 77.5%of the patients throughout disease progression with the mesenchymal-like(MES)subtype demonstrating a tendency for subtype transition and brain metastasis.Additionally,a precision treatment strategy based on the metastatic MES subtype of target lesions resulted in improved progression-free survival in the FUTURE trial.Conclusions:Our longitudinal study comprehensively revealed the clinical characteristics and survival of patients with the original TNBC subtypes and validated the consistency of most molecular subtypes throughout disease progression.However,we emphasize the major importance of repeat pathologic confirmation of the MES subtype. 展开更多
关键词 Triple-negative breast cancer molecular subtype METASTASIS primary tumor overall survival
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Treatment patterns and survival outcomes in patients with nonmetastatic early-onset pancreatic cancer
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作者 Le-Tian Zhang Ying Zhang +2 位作者 Bi-Yang Cao Chen-Chen Wu Jing Wang 《World Journal of Gastroenterology》 SCIE CAS 2024年第12期1739-1750,共12页
BACKGROUND The incidence of patients with early-onset pancreatic cancer(EOPC;age≤50 years at diagnosis)is on the rise,placing a heavy burden on individuals,families,and society.The role of combination therapy includi... BACKGROUND The incidence of patients with early-onset pancreatic cancer(EOPC;age≤50 years at diagnosis)is on the rise,placing a heavy burden on individuals,families,and society.The role of combination therapy including surgery,radiotherapy,and chemotherapy in non-metastatic EOPC is not well-defined.AIM To investigate the treatment patterns and survival outcomes in patients with non-metastatic EOPC.METHODS A total of 277 patients with non-metastatic EOPC who were treated at our institution between 2017 and 2021 were investigated retrospectively.Overall survival(OS),disease-free survival,and progression-free survival were estimated using the Kaplan-Meier method.Univariate and multivariate analyses with the Cox proportional hazards model were used to identify prognostic factors.RESULTS With a median follow-up time of 34.6 months,the 1-year,2-year,and 3-year OS rates for the entire cohort were 84.3%,51.5%,and 27.6%,respectively.The median OS of patients with localized disease who received surgery alone and adjuvant therapy(AT)were 21.2 months and 28.8 months,respectively(P=0.007).The median OS of patients with locally advanced disease who received radiotherapy-based combination therapy(RCT),surgery after neoadjuvant therapy(NAT),and chemotherapy were 28.5 months,25.6 months,and 14.0 months,respectively(P=0.002).The median OS after regional recurrence were 16.0 months,13.4 months,and 8.9 months in the RCT,chemotherapy,and supportive therapy groups,respectively(P=0.035).Multivariate analysis demonstrated that carbohydrate antigen 19-9 level,pathological grade,T-stage,N-stage,and resection were independent prognostic factors for non-metastatic EOPC.CONCLUSION AT improves postoperative survival in localized patients.Surgery after NAT and RCT are the preferred therapeutic options for patients with locally advanced EOPC. 展开更多
关键词 Pancreatic cancer EARLY-ONSET NON-METASTATIC Multimodal treatment RADIOTHERAPY overall survival
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Diagnosis and treatment of biliary mucinous cystic neoplasms: A single-center experience
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作者 Jun-Jun Jia Ya-Fen Cheng +5 位作者 Mei-Bao Feng Li Liu Ming-Qi Shuai Xiao-Dong Shen Xiao-Feng Tang Shu-Sen Zheng 《Hepatobiliary & Pancreatic Diseases International》 SCIE CAS CSCD 2024年第5期495-501,共7页
Background: Biliary mucinous cystic neoplasms(BMCNs) are rare hepatobiliary cystic tumors, which can be divided into noninvasive and invasive types. This study aimed to investigate the diagnosis, treatment, and progno... Background: Biliary mucinous cystic neoplasms(BMCNs) are rare hepatobiliary cystic tumors, which can be divided into noninvasive and invasive types. This study aimed to investigate the diagnosis, treatment, and prognosis of BMCNs in a large single center. Methods: We analyzed 49 patients with BMCNs confirmed by postoperative pathology at the First Afflliated Hospital, Zhejiang University School of Medicine between January 2007 and December 2021. Results: Among the 49 patients, 37 were female(75.5%), and the average age was 57.04 years. Common symptoms included abdominal discomfort, jaundice and fever, while 22 patients(44.9%) had no symptoms. Serum carbohydrate antigen(CA) 19-9 and CA125 concentrations were elevated in 34.8% and 19.6% of patients, respectively. Forty-eight patients had tumors in the intrahepatic bile ducts and only one had a tumor in the extrahepatic bile duct. Forty-eight patients with noninvasive intrahepatic BMCNs were further analyzed in terms of pathological features: 34(70.8%) had low-grade intraepithelial neoplasms(LGINs), and 14(29.2%) had high-grade intraepithelial neoplasms(HGINs). The potential immunohistochemical markers of BMCNs were cytokeratin(CK) 19, CK7, estrogen receptor and progesterone receptor. Follow-up data for 37 patients with intrahepatic BMCNs were obtained. The median overall survival(OS) of BMCNs was not reached. The longest survival time was 137 months.The 5-and 10-year OS rates were 100% and 85.4%, respectively. The 5-and 10-year recurrence-free survival(RFS) rates were 93.9% and 80.2%, respectively. Conclusions: BMCNs are rare cystic neoplasms that commonly occur in middle-aged females. BMCNs can only be diagnosed and classified by postoperative pathology, as there are no specific clinical presentations, serological indicators or imaging modalities for preoperative diagnosis. Complete surgical resection is necessary for BMCNs, and the postoperative prognosis is favorable. 展开更多
关键词 Biliary mucinous cystic neoplasms Low-grade intraepithelial neoplasms High-grade intraepithelial neoplasms overall survival Recurrence-free survival
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Comparison of clinical characteristics and prognostic factors in two site-specific categories of ampullary cancer
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作者 Jing-Zhao Zhang Zhi-Wei Zhang +5 位作者 Xin-Yi Guo Deng-Sheng Zhu Xiao-Rui Huang Ming Cai Tong Guo Ya-Hong Yu 《World Journal of Gastroenterology》 SCIE CAS 2024年第39期4281-4294,共14页
BACKGROUND Ampullary cancer is a relatively rare malignant tumor in the digestive system.Its incidence has increased in recent years.As for now,its biological characteristics have not been fully clarified.Recent studi... BACKGROUND Ampullary cancer is a relatively rare malignant tumor in the digestive system.Its incidence has increased in recent years.As for now,its biological characteristics have not been fully clarified.Recent studies have primarily focused on the histological classification and genetic changes,but there are fewer investigations into the differences among site-specific subgroups.The clinicopathological charac-teristics of ampullary cancer occurring in different positions have not been elucidated.Furthermore,the role of adjuvant therapy in the treatment of patients with ampullary cancer remains controversial.ampullary cancer and explore the factors affecting prognosis.METHODS A total of 356 patients who met the inclusion and exclusion criteria were enrolled.Patients were divided into ampulla of Vater cancer(AVC)and duodenal papilla cancer(DPC)based on the gross and microscopic findings.Baseline data,admission examination results,and perioperative outcomes were collected and analyzed.The Kaplan-Meier curve was used for survival analysis.Univariate and multivariate analysis was performed to explore the independent risk factors affecting the overall survival(OS)of both groups.RESULTS The preoperative total bilirubin level in patients with AVC was significantly higher than those with DPC(P=0.04).The OS for patients with DPC was 58.90±38.74 months,significantly longer than 44.31±35.90 months for patients with AVC(P<0.01).The independent risk factors affecting the OS of AVC included:Preoperative albumin level(P=0.009),total bilirubin level(P=0.017),and number of positive lymph nodes(P=0.005).For DPC,risk factors included:Age(P=0.004),tumor size(P=0.023),number of positive lymph nodes(P=0.010)and adjuvant treatment(P=0.020).Adjuvant therapy significantly improved the OS rate of patients with DPC,but not for those with AVC.CONCLUSION Patients with AVC had a shorter OS compared to those with DPC.The prognosis factors and the role of adjuvant therapy of two groups were different. 展开更多
关键词 Ampullary cancer PROGNOSIS Risk factors overall survival Adjuvant therapy
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Prognostic impact and reasons for variability by tumor location in gastric cancer
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作者 Yi-Xing Huang Han-Yi He +16 位作者 Ken Chen Hai-Dong Liu Dan Zu Chen Liang Qi-Mei Bao Yang-Chan Hu Guo-Xia Liu Yu-Ke Zhong Chun-Kai Zhang Ming-Cong Deng Yan-Hua He Ji Jing Yin Shi Sheng-Feng Xu Yao-Shu Teng Zu Ye Xiang-Dong Cheng 《World Journal of Gastroenterology》 SCIE CAS 2024年第44期4709-4724,共16页
BACKGROUND Gastric cancer(GC)is a highly prevalent gastrointestinal tract tumor.Several trials have demonstrated that the location of GC can affect patient prognosis.However,the factors determining tumor location rema... BACKGROUND Gastric cancer(GC)is a highly prevalent gastrointestinal tract tumor.Several trials have demonstrated that the location of GC can affect patient prognosis.However,the factors determining tumor location remain unclear.AIM To investigate the tumor location of patients,we went on to study the influencing factors that lead to changes in the location of GC.METHODS A retrospective evaluation was carried out on 3287 patients who underwent gastrectomy for GC in Zhejiang Cancer Hospital.The patients were followed up post-diagnosis and post-gastrectomy.The clinicopathological variables and overall survival of the patients were recorded.By analyzing the location of GC,the tumor location was divided into four categories:“Upper”,“middle”,“lower”,and“total”.Statistical software was utilized to analyze the relationship of each variable with the location of GC.RESULTS A total of 3287 patients were included in this study.The clinicopathological indices of gender,age,serum levels of carcinoembryonic antigen(CEA),carbohydrate antigen(CA19-9)and CA72-4 levels,were significantly associated with tumor location in patients with GC.In addition,there was a strong correlation between GC location and the prognosis of postoperative patients.Specifically,patients with“lower”and“middle”GC demonstrated a better prognosis than those with tumors in other categories.CONCLUSION The five clinicopathological indices of gender,age,CEA,CA19-9 and CA72-4 levels exhibit varying degrees of influence on the tumor location.The tumor location correlates with patient prognosis following surgery. 展开更多
关键词 Gastric cancer Clinicopathologic characteristics Tumor marker Tumor location overall survival
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Evaluation of the GATIS score for predicting prognosis in rectal neuroendocrine neoplasms
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作者 Yu-Ning Feng Li-Hong Liu Han-Wen Zhang 《World Journal of Gastroenterology》 SCIE CAS 2024年第42期4587-4590,共4页
The GATIS score,developed by Zeng et al,represents a significant advancement in predicting the prognosis of patients with rectal neuroendocrine neoplasms(RNENs).This study,which included 1408 patients from 17 major me... The GATIS score,developed by Zeng et al,represents a significant advancement in predicting the prognosis of patients with rectal neuroendocrine neoplasms(RNENs).This study,which included 1408 patients from 17 major medical centres in China over 12 years,introduces a novel prognostic model based on the tumour grade,T stage,tumour size,age,and the prognostic nutritional index.Compared with traditional methods such as the World Health Organization classification and TNM staging systems,the GATIS score has superior predictive power for overall survival and progression-free survival.With a C-index of 0.915 in the training set and 0.812 in the external validation set,the GATIS score’s robustness and reliability are evident.The study’s use of a large,multi-centre cohort and rigorous validation processes underscore its significance.The GATIS score offers clinicians a powerful tool to accurately predict patient outcomes,guide treatment decisions,and improve follow-up strategies.This development represents a crucial step forwards in the management of R-NENs,addressing the complexity and variability of these tumours and setting a new benchmark for future research and clinical practice. 展开更多
关键词 GATIS score Rectal neuroendocrine neoplasms Prognostic model overall survival Multicentre study
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Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma:Survival Outcomes and Development of a Machine Learning Prognostic Model
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作者 Qi-fan HE Yue XIONG +3 位作者 Yi-hui YU Xiang-chao MENG Tian-xu MA Zhong-hua CHEN 《Current Medical Science》 SCIE CAS 2024年第5期1006-1017,共12页
Background and Objective The effectiveness of radiofrequency ablation(RFA)in improving long-term survival outcomes for patients with a solitary hepatocellular carcinoma(HCC)measuring 5 cm or less remains uncertain.Thi... Background and Objective The effectiveness of radiofrequency ablation(RFA)in improving long-term survival outcomes for patients with a solitary hepatocellular carcinoma(HCC)measuring 5 cm or less remains uncertain.This study was designed to elucidate the impact of RFA therapy on the survival outcomes of these patients and to construct a prognostic model for patients following RFA.Methods This study was performed using the Surveillance,Epidemiology,and End Results(SEER)database from 2004 to 2017,focusing on patients diagnosed with a solitary HCC lesion≤5 cm in size.We compared the overall survival(OS)and cancer-specific survival(CSS)rates of these patients with those of patients who received hepatectomy,radiotherapy,or chemotherapy or who were part of a blank control group.To enhance the reliability of our findings,we employed stabilized inverse probability treatment weighting(sIPTW)and stratified analyses.Additionally,we conducted a Cox regression analysis to identify prognostic factors.XGBoost models were developed to predict 1-,3-,and 5-year CSS.The XGBoost models were evaluated via receiver operating characteristic(ROC)curves,calibration plots,decision curve analysis(DCA)curves and so on.Results Regardless of whether the data were unadjusted or adjusted for the use of sIPTWs,the 5-year OS(46.7%)and CSS(58.9%)rates were greater in the RFA group than in the radiotherapy(27.1%/35.8%),chemotherapy(32.9%/43.7%),and blank control(18.6%/30.7%)groups,but these rates were lower than those in the hepatectomy group(69.4%/78.9%).Stratified analysis based on age and cirrhosis status revealed that RFA and hepatectomy yielded similar OS and CSS outcomes for patients with cirrhosis aged over 65 years.Age,race,marital status,grade,cirrhosis status,tumor size,and AFP level were selected to construct the XGBoost models based on the training cohort.The areas under the curve(AUCs)for 1,3,and 5 years in the validation cohort were 0.88,0.81,and 0.79,respectively.Calibration plots further demonstrated the consistency between the predicted and actual values in both the training and validation cohorts.Conclusion RFA can improve the survival of patients diagnosed with a solitary HCC lesion≤5 cm.In certain clinical scenarios,RFA achieves survival outcomes comparable to those of hepatectomy.The XGBoost models developed in this study performed admirably in predicting the CSS of patients with solitary HCC tumors smaller than 5 cm following RFA. 展开更多
关键词 hepatocellular carcinoma radiofrequency ablation machine learning model overall survival cancer-specific survival
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Enhancing prognostic accuracy in predicting rectal neuroendocrine neoplasms
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作者 Renin Peter AA Raj Abdulqadir J Nashwan 《World Journal of Gastroenterology》 SCIE CAS 2024年第37期4087-4089,共3页
The recently published retrospective study introduces the GATIS score,a new predictive model for rectal neuroendocrine neoplasms.By analyzing data from a large Chinese multicenter cohort,the study shows that the GATIS... The recently published retrospective study introduces the GATIS score,a new predictive model for rectal neuroendocrine neoplasms.By analyzing data from a large Chinese multicenter cohort,the study shows that the GATIS score,incor-porating tumor grade,T stage,tumor size,age,and prognostic nutritional index,demonstrates superior predictive power for overall survival and progression-free survival compared to traditional World Health Organization grade and tumor,nodes and metastases staging systems.This editorial aims to discuss the impor-tance of the GATIS score,its potential impact on clinical practice,and the strengths and limitations of the study.Finally,it explores the significance,methodology,and clinical implications of these findings. 展开更多
关键词 Rectal neuroendocrine neoplasm NOMOGRAM Random forest PROGNOSIS overall survival Progression-free survival
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Incidence,Risk Factors,and Prognosis of Patients with Hepatocellular Carcinoma and Brain Metastases
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作者 Jin-cheng FENG Ying HE +3 位作者 Georgios Polychronidis Jian XIN Shen YOU Jun XIONG 《Current Medical Science》 SCIE CAS 2024年第1期180-186,共7页
Objective Brain metastases significantly impact the clinical course of patients with hepatocellular carcinoma(HCC).This study aimed to examine the age-related incidence,demographics,and survival of patients with HCC a... Objective Brain metastases significantly impact the clinical course of patients with hepatocellular carcinoma(HCC).This study aimed to examine the age-related incidence,demographics,and survival of patients with HCC and brain metastases.Methods Data of HCC patients from 2010 to 2015 in the Surveillance,Epidemiology,and End Results(SEER)Registry were screened for the presence of brain metastases.They were stratified by age and ethnicity.Multivariable logistic and Cox regression analyses were used to identify factors associated with brain metastases and those with overall survival(OS)and liver cancer-specific survival(CSS),respectively.Results A total of 141 HCC patients presenting with brain metastases were identified,accounting for 0.35% of all HCC patients and 2.37% of patients with metastatic disease.Among all HCC patients,the incidence rate was the highest among patients aged 30-49 years old(0.47%).Ethnicity was not associated with the presence of brain metastases at the time of HCC diagnosis.However,African-American patients presented with a significantly lower disease-specific survival[median time:1 month;interquartile range(IQR):0-3.0 months].Initial lung or bone metastasis was independently associated with an increased risk of the presence of brain metastases[odds ratio(OR):12.62,95% confidence interval(CI):8.40-18.97]but was not associated with a worse OS or CSS among those with brain metastases.Conclusion This study identified the age-related incidence and risk factors of brain metastases in HCC patients.These results may contribute to the consideration of brain screening among patients with initial metastatic HCC with lung or bone metastases,and influence the counseling of this patient population regarding their prognosis. 展开更多
关键词 brain metastases hepatocellular carcinoma age-related incidence cancer-specific survival overall survival
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Optimal sequential therapy using tyrosine kinase inhibitors as the first-line treatment in patients with metastatic renal cell carcinoma: A nationwide multicenter study
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作者 Jung Ki Jo Seong Il Seo +11 位作者 MinYong Kang Jinsoo Chung Cheol Kwak Sung-Hoo Hong Cheryn Song Jae Young Park Chang Wook Jeong Seok Hwan Choi Sung Han Kim Eu Chang Hwang Chan Ho Lee Hakmin Lee 《Asian Journal of Urology》 CSCD 2024年第3期450-459,共10页
Objective:The purpose of the study was to identify the best sequence of therapy beginning with a tyrosine kinase inhibitor(TKI)as the first-line therapy for patients with metastatic renal cell carcinoma(mRCC)in terms ... Objective:The purpose of the study was to identify the best sequence of therapy beginning with a tyrosine kinase inhibitor(TKI)as the first-line therapy for patients with metastatic renal cell carcinoma(mRCC)in terms of overall survival(OS),progression-free survival(PFS),and rates of discontinuation and adverse effects during the treatment period.Methods:This is a retrospective,nationwide multicenter study of patients with mRCC after diagnosis at 10 different tertiary medical centers in Korea from January 1992 to December 2017.We focused on patients at either“favorable”or“intermediate”risk according to the International mRCC Database Consortium criteria,and they were followed up(median 335 days).Finally,a total of 1409 patients were selected as the study population.We generated a Cox proportional hazard model adjusted for covariates,and the different therapy schemes were statistically tested in terms of OS as well as PFS.In addition,frequencies of discontinuation and adverse events were compared among the therapy schemes.Results:Of the primary patterns of treatment sequences(24 sequences),“sunitinib epazopanib”and“sunitinibeeverolimuseimmunotherapy”showed the most beneficial results in both OS and PFS with significantly lower hazards than“sunitinib”,which is the most commonly treated agent in Korea.Considering that the“TKIeTKI”structure showed relatively higher discontinuation rates with higher adverse effects,the overall beneficial sequence would be“sunitinibeeverolimuseimmunotherapy”.Conclusion:Among several sequential therapy starting with TKIs,“sunitinibeeverolimuse immunotherapy”was found to be the best scheme for mRCC patients with“favorable”or“intermediate”risks. 展开更多
关键词 Tyrosine kinase inhibitor Metastatic renal cell carcinoma overall survival Progression-free survival
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Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors
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作者 Hong-Wei Li Zi-Yu Zhu +4 位作者 Yu-Fei Sun Chao-Yu Yuan Mo-Han Wang Nan Wang Ying-Wei Xue 《World Journal of Gastroenterology》 SCIE CAS 2024年第40期4354-4366,共13页
BACKGROUND Although immune checkpoint inhibitors(ICIs)have demonstrated significant survival benefits in some patients diagnosed with gastric cancer(GC),existing prognostic markers are not universally applicable to al... BACKGROUND Although immune checkpoint inhibitors(ICIs)have demonstrated significant survival benefits in some patients diagnosed with gastric cancer(GC),existing prognostic markers are not universally applicable to all patients with advanced GC.AIM To investigate biomarkers that predict prognosis in GC patients treated with ICIs and develop accurate predictive models.METHODS Data from 273 patients diagnosed with GC and distant metastasis,who un-derwent≥1 cycle(s)of ICIs therapy were included in this study.Patients were randomly divided into training and test sets at a ratio of 7:3.Training set data were used to develop the machine learning models,and the test set was used to validate their predictive ability.Shapley additive explanations were used to provide insights into the best model.RESULTS Among the 273 patients with GC treated with ICIs in this study,112 died within 1 year,and 129 progressed within the same timeframe.Five features related to overall survival and 4 related to progression-free survival were identified and used to construct eXtreme Gradient Boosting(XGBoost),logistic regression,and decision tree.After comprehensive evaluation,XGBoost demonstrated good accuracy in predicting overall survival and progression-free survival.CONCLUSION The XGBoost model aided in identifying patients with GC who were more likely to benefit from ICIs therapy.Patient nutritional status may,to some extent,reflect prognosis. 展开更多
关键词 Gastric cancer Machine learning Immune checkpoint inhibitors Web-based calculator Progression-free survival overall survival
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