BACKGROUND Lugol chromoendoscopy(LCE)has served as a standard screening technique in high-risk patients with esophageal cancer.Nevertheless,LCE is not suitable for general population screening given its side effects.L...BACKGROUND Lugol chromoendoscopy(LCE)has served as a standard screening technique in high-risk patients with esophageal cancer.Nevertheless,LCE is not suitable for general population screening given its side effects.Linked color imaging(LCI)is a novel image-enhanced endoscopic technique that can distinguish subtle differences in mucosal color.AIM To compare the diagnostic performance of LCI with LCE in detecting esophageal squamous cell cancer and precancerous lesions and to evaluate whether LCE can be replaced by LCI in detecting esophageal neoplastic lesions.METHODS In this prospective study,we enrolled 543 patients who underwent white light imaging(WLI),LCI and LCE successively.We compared the sensitivity and specificity of LCI and LCE in the detection of esophageal neoplastic lesions.Clinicopathological features and color analysis of lesions were assessed.RESULTS In total,43 patients(45 neoplastic lesions)were analyzed.Among them,36 patients(38 neoplastic lesions)were diagnosed with LCI,and 39 patients(41 neoplastic lesions)were diagnosed with LCE.The sensitivity of LCI was similar to that of LCE(83.7%vs 90.7%,P=0.520),whereas the specificity of LCI was greater than that of LCE(92.4%vs 87.0%,P=0.007).The LCI procedure time in the esophageal examination was significantly shorter than that of LCE[42(34,50)s vs 160(130,189)s,P<0.001].The color difference between the lesion and surrounding mucosa in LCI was significantly greater than that observed with WLI.However,the color difference in LCI was similar in different pathological types of esophageal squamous cell cancer.CONCLUSION LCI offers greater specificity than LCE in the detection of esophageal squamous cell cancer and precancerous lesions,and LCI represents a promising screening strategy for general populations.展开更多
As survival rates improve and detection technologies advance,the occurrence of multiple primary cancers(MPCs)has been increasing.Approximately 16%of cancer survivors develop a subsequent malignancy,with lung cancer of...As survival rates improve and detection technologies advance,the occurrence of multiple primary cancers(MPCs)has been increasing.Approximately 16%of cancer survivors develop a subsequent malignancy,with lung cancer often developing after esophageal cancer due to potential“field cancerization”effects.Despite this observation,the genetic heterogeneity underlying MPCs remains understudied.However,the recent emergence of genetic testing has expanded the scope of investigations into MPCs to investigate signatures underlying cancer predisposition.This report reveals 3 unprecedented TP53 fusion mutations in a Chinese patient afflicted by MPCs,namely,AP1M2–TP53(A1;T11)fusion,TP53–ILF3(T10;I13)fusion,and SLC44A2–TP53(S5;T11)fusion.This patient exhibited an extended period of survival after diagnosis of extensive-stage small cell lung cancer,which occurred 6 years after the diagnosis of esophageal squamous cell cancer.This unique reportmay provide supplementary data that enhance our understanding of the genetic landscape ofMPCs.展开更多
Esophageal cancer poses diagnostic,therapeutic and economic burdens in highrisk regions.Artificial intelligence(AI)has been developed for diagnosis and outcome prediction using various features,including clinicopathol...Esophageal cancer poses diagnostic,therapeutic and economic burdens in highrisk regions.Artificial intelligence(AI)has been developed for diagnosis and outcome prediction using various features,including clinicopathologic,radiologic,and genetic variables,which can achieve inspiring results.One of the most recent tasks of AI is to use state-of-the-art deep learning technique to detect both early esophageal squamous cell carcinoma and esophageal adenocarcinoma in Barrett’s esophagus.In this review,we aim to provide a comprehensive overview of the ways in which AI may help physicians diagnose advanced cancer and make clinical decisions based on predicted outcomes,and combine the endoscopic images to detect precancerous lesions or early cancer.Pertinent studies conducted in recent two years have surged in numbers,with large datasets and external validation from multi-centers,and have partly achieved intriguing results of expert’s performance of AI in real time.Improved pre-trained computer-aided diagnosis algorithms in the future studies with larger training and external validation datasets,aiming at real-time video processing,are imperative to produce a diagnostic efficacy similar to or even superior to experienced endoscopists.Meanwhile,supervised randomized controlled trials in real clinical practice are highly essential for a solid conclusion,which meets patient-centered satisfaction.Notably,ethical and legal issues regarding the blackbox nature of computer algorithms should be addressed,for both clinicians and regulators.展开更多
AIM To determine the association of p53, carcinoembryonic antigen(CEA) and CA19-9 protein expression with esophageal carcinogenesis.METHODS An iodine staining endoscopic screening program of esophageal lesions was car...AIM To determine the association of p53, carcinoembryonic antigen(CEA) and CA19-9 protein expression with esophageal carcinogenesis.METHODS An iodine staining endoscopic screening program of esophageal lesions was carried out in the high-incidence area of Feicheng County, China. Seventy-seven patients with basal cell hyperplasia(BCH), 247 with low-grade dysplasia(LGD), 51 with high-grade dysplasia(HGD), 134 with invasive cancer, and 80 normal controls diagnosed by mucous membrane biopsy pathology were enrolled. Immunohistochemical detection of p53, CEA and CA19-9 proteins was performed. In the ROCcurve analysis, the expression of a single biomarker and the expression of a combination of biomarkers were used to predict the risk of these four esophageal lesions.RESULTS The positive rates of p53 protein expression in invasive cancer, HGD, LGD, BCH and the normal control groups were 53.0%, 52.9%, 35.6%, 27.3% and 20.0%, respectively; the positive rates of CA19-9 protein expression were 44.0%, 33.3%, 16.5%, 9.2% and 6.2%, respectively; the positive rates of CEA protein expression were 74.6%, 60.8%, 23.3%, 23.7% and 16.2%, respectively. The positive rates of the combined expression of the three biomarkers were 84.3%, 76.5%, 47.6%, 42.9% and 27.5%, respectively. In the receiver operating characteristic curves of the combination of the three biomarkers, the specificity was 88.8% for the normal controls, and the sensitivity was 58.2% for invasive cancer, 25.5% for HGD, 11.2% for LGD, and 6.5% for BCH.CONCLUSION p53, CEA and CA19-9 protein expression was correlated with esophageal carcinogenesis, and testing for the combination of these biomarkers is useful for identifying high-risk patients with precancerous lesions.展开更多
Objective:This study aimed to evaluate the prognostic value of preoperative radiomics and establish an integrated model for esophageal squamous cell cancer(ESCC).Methods:A total of 931 patients were retrospectively en...Objective:This study aimed to evaluate the prognostic value of preoperative radiomics and establish an integrated model for esophageal squamous cell cancer(ESCC).Methods:A total of 931 patients were retrospectively enrolled in this study(training cohort,n=624;validation cohort,n=307).Radiomics features were obtained by contrast-enhanced computed tomography(CT)before esophagectomy.A radiomics index was set based on features of tumor and reginal lymph nodes by using the least absolute shrinkage and selection operator(LASSO)Cox regression.Prognostic nomogram was built based on radiomics index and other independent risk factors.The prognostic value was assessed by using Harrell’s concordance index,time-dependent receiver operating characteristics and Kaplan-Meier curves.Results:Twelve radiomic features from tumor and lymph node regions were identified to build a radiomics index,which was significantly associated with overall survival(OS)in both training cohort and validation cohort.The radiomics index was highly correlated with clinical tumor-node-metastasis(cTNM)and pathologic TNM(pTNM)stages,but it demonstrated a better prognostic value compared with cTNM stage and was almost comparable with pTNM stage.Multivariable Cox regression showed that the radiomics index was an independent prognostic factor.An integrated model was constructed based on gender,preoperative serum sodium concentration,pTNM and the radiomics index for clinical usefulness.The integrated model demonstrated discriminatory ability better compared with the traditional clinical-pathologic model and pTNM alone,indicating incremental value for prognosis.Conclusions:CT-based radiomics for primary tumor and reginal lymph nodes was sufficient in predicting OS for patients with ESCC.The integrated model demonstrated incremental value for prognosis and was robust for clinical applications.展开更多
Objective: To study the expressions of (CSC), bladder transitional cell cancer metallothionein and the significances in cervical squamous cell cancer (BTC), esophageal squamous cell cancer (ESC), gastral tubula...Objective: To study the expressions of (CSC), bladder transitional cell cancer metallothionein and the significances in cervical squamous cell cancer (BTC), esophageal squamous cell cancer (ESC), gastral tubular adenocarcinoma (GC) and large intestinal tubular adenocarcinoma (LIC). Methods: lmmunohistochemical method was used to examine the expression rates of MT in five types of cancer tissue. Results: The expression rates of MT were 75.00% (24/32) in ESC, 52.27% (46/88) in GTC, 59.46% (44/74) in LIC, 64.86% (48/74) in BTC and 58.57% (41/70) in CSC respectively. The positive rates of MT expression were higher in low differentiation and deep muscular group than those in medium or high differentiation and superficial muscular invasion group (P〈0.05). Conclusion: The expression of MT is related to differentiation degree and invasion degree.展开更多
Ras-association(RA) domain family number 6(RASSF6) is a member of the Ras-association domain protein family.It is epigenetically inactive and negatively regulates the malignant progression of some tumors.However,its p...Ras-association(RA) domain family number 6(RASSF6) is a member of the Ras-association domain protein family.It is epigenetically inactive and negatively regulates the malignant progression of some tumors.However,its precise role in esophageal squamous cell carcinoma(ESCC) has not been reported.In this study,we performed immunohistochemistry(IHC) assay.The results show that RASSF6 is upregulated in ESCC and that the elevated expression level of RASSF6 is associated with lymph node metastasis and poor survival of ESCC patients.Consistent with the clinical obse rvations,the upregulation of RASSF6 greatly promotes ESCC cell proliferation,migration and invasion as well as the cell cycle transition to Gl/S phase in vitro.According to models in vivo,the downregulation of RASSF6 considerably inhibits ESCC tumor growth and lung metastasis.Mechanistically,RASSF6 negatively regulates the tumor suppressor tripartite-motif-containing protein 16(TRIM16) by promoting its ubiquitination-dependent degradation and eventually activates pathways associated with the cell cycle and epithelialmesenchymal transition(EMT).Together,these results indicate that the RASSF6-TRIM16 axis is a key effector in ESCC progression and that RASSF6 serves as a potential target for the treatment of ESCC.展开更多
基金Supported by the National Natural Science Foundation of China,No.81270564 and 82100697.
文摘BACKGROUND Lugol chromoendoscopy(LCE)has served as a standard screening technique in high-risk patients with esophageal cancer.Nevertheless,LCE is not suitable for general population screening given its side effects.Linked color imaging(LCI)is a novel image-enhanced endoscopic technique that can distinguish subtle differences in mucosal color.AIM To compare the diagnostic performance of LCI with LCE in detecting esophageal squamous cell cancer and precancerous lesions and to evaluate whether LCE can be replaced by LCI in detecting esophageal neoplastic lesions.METHODS In this prospective study,we enrolled 543 patients who underwent white light imaging(WLI),LCI and LCE successively.We compared the sensitivity and specificity of LCI and LCE in the detection of esophageal neoplastic lesions.Clinicopathological features and color analysis of lesions were assessed.RESULTS In total,43 patients(45 neoplastic lesions)were analyzed.Among them,36 patients(38 neoplastic lesions)were diagnosed with LCI,and 39 patients(41 neoplastic lesions)were diagnosed with LCE.The sensitivity of LCI was similar to that of LCE(83.7%vs 90.7%,P=0.520),whereas the specificity of LCI was greater than that of LCE(92.4%vs 87.0%,P=0.007).The LCI procedure time in the esophageal examination was significantly shorter than that of LCE[42(34,50)s vs 160(130,189)s,P<0.001].The color difference between the lesion and surrounding mucosa in LCI was significantly greater than that observed with WLI.However,the color difference in LCI was similar in different pathological types of esophageal squamous cell cancer.CONCLUSION LCI offers greater specificity than LCE in the detection of esophageal squamous cell cancer and precancerous lesions,and LCI represents a promising screening strategy for general populations.
基金supported by the National Natural Science Foun-dation of China(grant numbers 81974483 and 82072589)the ChineseSocietyofClinicalOncology-HengruiCancerResearch Fund(Y-HR2020QN-0946).
文摘As survival rates improve and detection technologies advance,the occurrence of multiple primary cancers(MPCs)has been increasing.Approximately 16%of cancer survivors develop a subsequent malignancy,with lung cancer often developing after esophageal cancer due to potential“field cancerization”effects.Despite this observation,the genetic heterogeneity underlying MPCs remains understudied.However,the recent emergence of genetic testing has expanded the scope of investigations into MPCs to investigate signatures underlying cancer predisposition.This report reveals 3 unprecedented TP53 fusion mutations in a Chinese patient afflicted by MPCs,namely,AP1M2–TP53(A1;T11)fusion,TP53–ILF3(T10;I13)fusion,and SLC44A2–TP53(S5;T11)fusion.This patient exhibited an extended period of survival after diagnosis of extensive-stage small cell lung cancer,which occurred 6 years after the diagnosis of esophageal squamous cell cancer.This unique reportmay provide supplementary data that enhance our understanding of the genetic landscape ofMPCs.
基金Supported by Sichuan Science and Technology Department Key R and D Projects,No.2019YFS0257and Chengdu Technological Innovation R and D Projects,No.2018-YFYF-00033-GX.
文摘Esophageal cancer poses diagnostic,therapeutic and economic burdens in highrisk regions.Artificial intelligence(AI)has been developed for diagnosis and outcome prediction using various features,including clinicopathologic,radiologic,and genetic variables,which can achieve inspiring results.One of the most recent tasks of AI is to use state-of-the-art deep learning technique to detect both early esophageal squamous cell carcinoma and esophageal adenocarcinoma in Barrett’s esophagus.In this review,we aim to provide a comprehensive overview of the ways in which AI may help physicians diagnose advanced cancer and make clinical decisions based on predicted outcomes,and combine the endoscopic images to detect precancerous lesions or early cancer.Pertinent studies conducted in recent two years have surged in numbers,with large datasets and external validation from multi-centers,and have partly achieved intriguing results of expert’s performance of AI in real time.Improved pre-trained computer-aided diagnosis algorithms in the future studies with larger training and external validation datasets,aiming at real-time video processing,are imperative to produce a diagnostic efficacy similar to or even superior to experienced endoscopists.Meanwhile,supervised randomized controlled trials in real clinical practice are highly essential for a solid conclusion,which meets patient-centered satisfaction.Notably,ethical and legal issues regarding the blackbox nature of computer algorithms should be addressed,for both clinicians and regulators.
基金Supported by the National Natural Science Foundation of China,No.30571601
文摘AIM To determine the association of p53, carcinoembryonic antigen(CEA) and CA19-9 protein expression with esophageal carcinogenesis.METHODS An iodine staining endoscopic screening program of esophageal lesions was carried out in the high-incidence area of Feicheng County, China. Seventy-seven patients with basal cell hyperplasia(BCH), 247 with low-grade dysplasia(LGD), 51 with high-grade dysplasia(HGD), 134 with invasive cancer, and 80 normal controls diagnosed by mucous membrane biopsy pathology were enrolled. Immunohistochemical detection of p53, CEA and CA19-9 proteins was performed. In the ROCcurve analysis, the expression of a single biomarker and the expression of a combination of biomarkers were used to predict the risk of these four esophageal lesions.RESULTS The positive rates of p53 protein expression in invasive cancer, HGD, LGD, BCH and the normal control groups were 53.0%, 52.9%, 35.6%, 27.3% and 20.0%, respectively; the positive rates of CA19-9 protein expression were 44.0%, 33.3%, 16.5%, 9.2% and 6.2%, respectively; the positive rates of CEA protein expression were 74.6%, 60.8%, 23.3%, 23.7% and 16.2%, respectively. The positive rates of the combined expression of the three biomarkers were 84.3%, 76.5%, 47.6%, 42.9% and 27.5%, respectively. In the receiver operating characteristic curves of the combination of the three biomarkers, the specificity was 88.8% for the normal controls, and the sensitivity was 58.2% for invasive cancer, 25.5% for HGD, 11.2% for LGD, and 6.5% for BCH.CONCLUSION p53, CEA and CA19-9 protein expression was correlated with esophageal carcinogenesis, and testing for the combination of these biomarkers is useful for identifying high-risk patients with precancerous lesions.
基金supported by Science and Technology Department of Sichuan Province(No.22NSFSC1483,2019YFS0378 and 2018JY0277)CSCO-Genecast Oncology Research Found(No.Y-2019Genecast-041)。
文摘Objective:This study aimed to evaluate the prognostic value of preoperative radiomics and establish an integrated model for esophageal squamous cell cancer(ESCC).Methods:A total of 931 patients were retrospectively enrolled in this study(training cohort,n=624;validation cohort,n=307).Radiomics features were obtained by contrast-enhanced computed tomography(CT)before esophagectomy.A radiomics index was set based on features of tumor and reginal lymph nodes by using the least absolute shrinkage and selection operator(LASSO)Cox regression.Prognostic nomogram was built based on radiomics index and other independent risk factors.The prognostic value was assessed by using Harrell’s concordance index,time-dependent receiver operating characteristics and Kaplan-Meier curves.Results:Twelve radiomic features from tumor and lymph node regions were identified to build a radiomics index,which was significantly associated with overall survival(OS)in both training cohort and validation cohort.The radiomics index was highly correlated with clinical tumor-node-metastasis(cTNM)and pathologic TNM(pTNM)stages,but it demonstrated a better prognostic value compared with cTNM stage and was almost comparable with pTNM stage.Multivariable Cox regression showed that the radiomics index was an independent prognostic factor.An integrated model was constructed based on gender,preoperative serum sodium concentration,pTNM and the radiomics index for clinical usefulness.The integrated model demonstrated discriminatory ability better compared with the traditional clinical-pathologic model and pTNM alone,indicating incremental value for prognosis.Conclusions:CT-based radiomics for primary tumor and reginal lymph nodes was sufficient in predicting OS for patients with ESCC.The integrated model demonstrated incremental value for prognosis and was robust for clinical applications.
文摘Objective: To study the expressions of (CSC), bladder transitional cell cancer metallothionein and the significances in cervical squamous cell cancer (BTC), esophageal squamous cell cancer (ESC), gastral tubular adenocarcinoma (GC) and large intestinal tubular adenocarcinoma (LIC). Methods: lmmunohistochemical method was used to examine the expression rates of MT in five types of cancer tissue. Results: The expression rates of MT were 75.00% (24/32) in ESC, 52.27% (46/88) in GTC, 59.46% (44/74) in LIC, 64.86% (48/74) in BTC and 58.57% (41/70) in CSC respectively. The positive rates of MT expression were higher in low differentiation and deep muscular group than those in medium or high differentiation and superficial muscular invasion group (P〈0.05). Conclusion: The expression of MT is related to differentiation degree and invasion degree.
基金supported by funding from the National Key Research and Development Program of China (No. 2016YFA0500303)the National Natural Science Foundation of China(No.81872398)+5 种基金CAMS Innovation Fund for Medical Sciences (CIFMSNo.2016-12M-1-001)a grant from Medical Epigenetics Research Center,Chinese Medical Sciences(2019PT310017)National Basic Research Program of China(No.2015CB553904)PUMC Youth Fund(No.3332018066)the National Key R&D Program of China(2018YFC1313101)
文摘Ras-association(RA) domain family number 6(RASSF6) is a member of the Ras-association domain protein family.It is epigenetically inactive and negatively regulates the malignant progression of some tumors.However,its precise role in esophageal squamous cell carcinoma(ESCC) has not been reported.In this study,we performed immunohistochemistry(IHC) assay.The results show that RASSF6 is upregulated in ESCC and that the elevated expression level of RASSF6 is associated with lymph node metastasis and poor survival of ESCC patients.Consistent with the clinical obse rvations,the upregulation of RASSF6 greatly promotes ESCC cell proliferation,migration and invasion as well as the cell cycle transition to Gl/S phase in vitro.According to models in vivo,the downregulation of RASSF6 considerably inhibits ESCC tumor growth and lung metastasis.Mechanistically,RASSF6 negatively regulates the tumor suppressor tripartite-motif-containing protein 16(TRIM16) by promoting its ubiquitination-dependent degradation and eventually activates pathways associated with the cell cycle and epithelialmesenchymal transition(EMT).Together,these results indicate that the RASSF6-TRIM16 axis is a key effector in ESCC progression and that RASSF6 serves as a potential target for the treatment of ESCC.