Study on Proteomics in Hepatic Metastasis of Colorectal neoplasms

Colorectal cancer is one of the most frequent cancers in the world. Hepatic metastasis is the most common site metastatic disease and dominant cause of death in colorectal cancer patients. In the large majority of cases, cell dysfunction in CRC results from multiple rather than single, gene interactions, so to be able to predict occurrence of disease and treatment outcome, more studies on comparative proteomics are needed both in sporadic and in hereditary colorectal cancer. This article is about the proteomic study on hepatic metastasis of colorectal cancer which helps to identify the specific proteins that play important roles in hepatic metastasis. The study of protein molecules with their expressions correlated to the metastatic process would help to understand the metastatic mechanisms and thus facilitate the development of strategies for the therapeutic interventions and clinical markagement of cancer.

Microbiota in colorectal cancer related to liver metastasis

The prevalence of colorectal cancer(CRC) is increasing annually and metastasis is the principal cause of death in patients with CRC, with the liver being the most frequently affected site. Many studies have shown a strong interplay between the gut flora, particularly Fusobacterium nucleatum(F. nucleatum), Escherichia coli, and Bacteroides fragilis, and the development of gut tumors. Some strains can induce gut inflammation and produce toxins that directly harm gut epithelial cells, ultimately accelerating the onset and progression of CRC. However,little clinical evidence exists on the specific interplay between the gut microflora and colorectal cancer liver metastasis(CRLM). Some research showed the existence of viable F. nucleatum in distant metastasis of CRC.Subsequently, gut microbiota products, such as lipopolysaccharides, sodium butyrate, and protein cathepsin K, were also found to affect the development of CRC. This article summarizes the mechanism and research status of the interplay between gut microflora and CRLM, discusses the importance of gut microflora in the treatment of CRLM, and proposes a new approach to understanding the mechanism of CRLM and potential treatments for the microbiome. It is anticipated that the gut microbiota will be a formidable therapeutic and prophylactic tool for treating and preventing CRLM.

Current landscape of preoperative neoadjuvant therapies for initial resectable colorectal cancer liver metastasis

Colorectal cancer liver metastasis(CRLM)presents a clinical challenge,and optimizing treatment strategies is crucial for improving patient outcomes.Surgical resection,a key element in achieving prolonged survival,is often linked to a heightened risk of recurrence.Acknowledging the potential benefits of preoperative neoadjuvant chemotherapy in managing resectable liver metastases,this approach has gained attention for its role in tumor downsizing,assessing biological behavior,and reducing the risk of postoperative recurrence.However,the use of neoadjuvant chemotherapy in initially resectable CRLM sparks ongoing debates.The balance between tumor reduction and the risk of hepatic injury,coupled with concerns about delaying surgery,necessitates a nuanced approach.This article explores recent research insights and draws upon the practical experiences at our center to address critical issues regarding considerations for initially resectable cases.Examining the criteria for patient selection and the judicious choice of neoadjuvant regimens are pivotal areas of discussion.Striking the right balance between maximizing treatment efficacy and minimizing adverse effects is imperative.The dynamic landscape of precision medicine is also reflected in the evolving role of gene testing,such as RAS/BRAF and PIK3CA,in tailoring neoadjuvant regimens.Furthermore,the review emphasizes the need for a multidisciplinary approach to navigate the comp-lexities of CRLM.Integrating technical expertise and biological insights is crucial in refining neoadjuvant strategies.The management of progression following neoadjuvant chemotherapy requires a tailored approach,acknowledging the diverse biological behaviors that may emerge.In conclusion,this review aims to provide a comprehensive perspective on the considerations,challenges,and advancements in the use of neoadjuvant chemotherapy for initially resectable CRLM.By combining evidencebased insights with practical experiences,we aspire to contribute to the ongoing discourse on refining treatment paradigms for improved outcomes in patients with CRLM.

Impact of preoperative inflammatory and nutritional markers on the prognosis of patients with peritoneal metastasis of colorectal cancer

BACKGROUND Identifying patients with peritoneal metastasis(PMs)of colorectal cancer(CRC)who will benefit from cytoreductive surgery and hyperthermic intraperitoneal chemotherapy is crucial before surgery.Inflammatory and nutritional indicators play essential roles in cancer development and metastasis.AIM To investigate the association of preoperative inflammatory and nutritional markers with prognosis in patients with CRC-PM.METHODS We included 133 patients diagnosed with CRC-PM between July 2012 and July 2018.Patients’demographics,overall survival(OS),and preoperative inflammatory and nutritional markers were evaluated.The Kaplan-Meier method and log-rank test were used to estimate differences.RESULTS Of the 133 patients,94(70.6%)had normal hemoglobin(Hb)and 54(40.6%)had a high neutrophil-to-lymphocyte ratio(NLR).The median OS(mOS)was significantly lower for patients with high NLR(7.9 months)than for those with low NLR(25.4 months;P=0.002).Similarly,patients with normal Hb had a longer mOS(18.5 months)than those with low Hb(6.3 months;P<0.001).Multivariate analysis identified age,carbohydrate antigen 199 levels,NLR,Hb,and peritoneal cancer index as independent predictors of OS.Based on these findings,a nomogram was constructed,which demonstrated a good capacity for prediction,with a C-index of 0.715(95%confidence interval:0.684-0.740).Furthermore,the 1-and 2-year survival calibration plots showed good agreement between predicted and actual OS rates.The areas under the curve for the 1-and 2-year survival predictions of the nomogram were 0.6238 and 0.6234,respectively.CONCLUSION High NLR and low Hb were identified as independent predictive risk factors for poor prognosis in patients with CRC-PM.The established nomogram demonstrated high accuracy in predicting OS for patients with CRC-PM,indicating its potential as a valuable prognostic tool for this patient population.

Research progress on the effect of pyroptosis on the occurrence,development,invasion and metastasis of colorectal cancer

Pyroptosis is a type of programmed cell death mediated by gasdermines(GSDMs).The N-terminal domain of GSDMs forms pores in the plasma membrane,causing cell membrane rupture and the release of cell contents,leading to an inflammatory response and mediating pyrodeath.Pyroptosis plays an important role in inflammatory diseases and malignant tumors.With the further study of pyroptosis,an increasing number of studies have shown that the pyroptosis pathway can regulate the tumor microenvironment and antitumor immunity of colorectal cancer and is closely related to the occurrence,development,treatment and prognosis of colorectal cancer.This review aimed to explore the molecular mechanism of pyroptosis and the role of pyroptosis in the occurrence,development,treatment and prognosis of colorectal cancer(CRC)and to provide ideas for the clinical diagnosis and treatment of CRC.

Correlation between TEX14 and ADAM17 expressions in colorectal cancer tissues of elderly patients and neoplasm staging,invasion,and metastasis

BACKGROUND Colorectal cancer(CRC)is one of the most frequently encountered malignant tumors in clinical settings.Proteins encoded by the testis-expressed gene 14(TEX14)are imperative for spermatogenesis,necessitating intercellular bridges between germ cells.Anomalous expression of TEX14 has also been associated with the proliferation and differentiation of certain tumor cells.Recombinant A disintegrin and metalloprotease 17(ADAM17)is known as a membrane-bound protease that regulates cellular activities and signal transduction by hydrolyzing various substrate proteins on the cell membrane.We hypothesize that TEX14 and ADAM17 may serve as potential biomarkers influencing the staging,invasion,and metastasis of CRC.AIM To probe the correlation between TEX17 and ADAM17 profiles in the CRC tissues of elderly patients and their association with CRC staging,invasion,and metastasis.METHODS We gathered data from 86 elderly patients diagnosed pathologically with CRC between April 2020 and December 2023.For each patient,one sample of cancer tissue and one sample of adjacent normal tissue were harvested.Real-time fluorescence quantitative PCR measured the mRNA profiles of TEX14 and ADAM17.Immunohistochemistry ascertained the positivity rates of TEX14 and ADAM17 expressions.Clinical pathological features of neoplasm staging,invasion,and metastasis were collected,and the association between TEX14 and ADAM17 expressions and clinical pathology was evaluated.RESULTS The mRNA and expression profiles of TEX14 and ADAM17 were significantly elevated in CRC tissues.The positivity rates of TEX14 and ADAM17 proteins in CRC tissues were 70.93%and 77.91%,respectively.There were no significant differences in age,sex,pathological type,and tumor diameter between TEX14 and ADAM17-positive and-negative patients.Patients with higher tumor differentiation degree,deeper infiltration and TNM stages ranging from III to IV exhibited higher positivity rates of TEX14 and ADAM17.Patients with lymph node metastasis and distant metastasis showed higher positivity rates of TEX14 and ADAM17 than those without.Positive expressions of TEX14 and ADAM17 were highly correlated with tumor staging,invasion,and metastasis.CONCLUSION TEX14 and ADAM17 profiles were significantly elevated in the CRC tissues of elderly patients,and their high expressions were associated with tumor staging,invasion,and metastasis.

Value of glucose transport protein 1 expression in detecting lymph node metastasis in patients with colorectal cancer

BACKGROUND There are limited data on the use of glucose transport protein 1(GLUT-1)expre-ssion as a biomarker for predicting lymph node metastasis in patients with colorectal cancer.GLUT-1 and GLUT-3,hexokinase(HK)-II,and hypoxia-induced factor(HIF)-1 expressions may be useful biomarkers for detecting primary tumors and lymph node metastasis when combined with fluorodeoxyglucose(FDG)uptake on positron emission tomography/computed tomography(PET/CT).AIM To evaluate GLUT-1,GLUT-3,HK-II,and HIF-1 expressions as biomarkers for detecting primary tumors and lymph node metastasis with 18F-FDG-PET/CT.METHODS This retrospective study included 169 patients with colorectal cancer who underwent colectomy and preoperative 18F-FDG-PET/CT at Chungbuk National University Hospital between January 2009 and May 2012.Two tissue cores from the central and peripheral areas of the tumors were obtained and were examined by a dedicated pathologist,and the expressions of GLUT-1,GLUT-3,HK-II,and HIF-1 were determined using immunohisto-chemical staining.We analyzed the correlations among their expressions,various clinicopathological factors,and the maximum standardized uptake value(SUVmax)of PET/CT.RESULTS GLUT-1 was found at the center or periphery of the tumors in 109(64.5%)of the 169 patients.GLUT-1 positivity was significantly correlated with the SUVmax of the primary tumor and lymph nodes,regardless of the biopsy site(tumor center,P<0.001 and P=0.012;tumor periphery,P=0.030 and P=0.010,respectively).GLUT-1 positivity and negativity were associated with higher and lower sensitivities of PET/CT,respectively,for the detection of lymph node metastasis,regardless of the biopsy site.GLUT3,HK-II,and HIF-1 expressions were not significantly correlated with the SUVmax of the primary tumor and lymph nodes.CONCLUSION GLUT-1 expression was significantly correlated with the SUVmax of 18F-FDG-PET/CT for primary tumors and lymph nodes.Clinicians should consider GLUT-1 expression in preoperative endoscopic biopsy in interpreting PET/CT findings.

Erythropoietin-induced hepatocyte receptor A2 regulates effect of pyroptosis on gastrointestinal colorectal cancer occurrence and metastasis resistance

Erythropoietin-induced hepatocyte receptor A2(EphA2)is a receptor tyrosine kinase that plays a key role in the development and progression of a variety of tumors.This article reviews the expression of EphA2 in gastrointestinal(GI)colorectal cancer(CRC)and its regulation of pyroptosis.Pyroptosis is a form of programmed cell death that plays an important role in tumor suppression.Studies have shown that EphA2 regulates pyrodeath through various signaling pathways,affecting the occurrence,development and metastasis of GI CRC.The overexpression of EphA2 is closely related to the aggressiveness and metastasis of GI CRC,and the inhibition of EphA2 can induce pyrodeath and improve the sensitivity of cancer cells to treatment.In addition,EphA2 regulates intercellular communication and the microenvironment through interactions with other cytokines and receptors,further influencing cancer progression.The role of EphA2 in GI CRC and its underlying mechanisms provide us with new perspectives and potential therapeutic targets,which have important implications for future cancer treatment.

Prediction and analysis of albumin-bilirubin score combined with liver function index and carcinoembryonic antigen on liver metastasis of colorectal cancer

BACKGROUND Colorectal cancer(CRC)is a common malignant tumor,and liver metastasis is one of the main recurrence and metastasis modes that seriously affect patients’survival rate and quality of life.Indicators such as albumin bilirubin(ALBI)score,liver function index,and carcinoembryonic antigen(CEA)have shown some potential in the prediction of liver metastasis but have not been fully explored.AIM To evaluate its predictive value for liver metastasis of CRC by conducting the combined analysis of ALBI,liver function index,and CEA,and to provide a more accurate liver metastasis risk assessment tool for clinical treatment guidance.METHODS This study retrospectively analyzed the clinical data of patients with CRC who received surgical treatment in our hospital from January 2018 to July 2023 and were followed up for 24 months.According to the follow-up results,the enrolled patients were divided into a liver metastasis group and a nonliver metastasis group and randomly divided into a modeling group and a verification group at a ratio of 2:1.The risk factors for liver metastasis in patients with CRC were analyzed,a prediction model was constructed by least absolute shrinkage and selection operator(LASSO)logistic regression,internal validation was performed by the bootstrap method,the reliability of the prediction model was evaluated by subject-work characteristic curves,calibration curves,and clinical decision curves,and a column graph was drawn to show the prediction results.RESULTS Of 130 patients were enrolled in the modeling group and 65 patients were enrolled in the verification group out of the 195 patients with CRC who fulfilled the inclusion and exclusion criteria.Through LASSO regression variable screening and logistic regression analysis.The ALBI score,alanine aminotransferase(ALT),and CEA were found to be independent predictors of liver metastases in CRC patients[odds ratio(OR)=8.062,95%confidence interval(CI):2.545-25.540],(OR=1.037,95%CI:1.004-1.071)and(OR=1.025,95%CI:1.008-1.043).The area under the receiver operating characteristic curve(AUC)for the combined prediction of CRLM in the modeling group was 0.921,with a sensitivity of 78.0%and a specificity of 95.0%.The H-index was 0.921,and the H-L fit curve hadχ^(2)=0.851,a P value of 0.654,and a slope of the calibration curve approaching 1.This indicates that the model is extremely accurate,and the clinical decision curve demonstrates that it can be applied effectively in the real world.We conducted internal verification of one thousand resamplings of the modeling group data using the bootstrap method.The AUC was 0.913,while the accuracy was 0.869 and the kappa consistency was 0.709.The combination prediction of liver metastasis in patients with CRC in the verification group had an AUC of 0.918,sensitivity of 85.0%,specificity of 95.6%,C-index of 0.918,and an H-L fitting curve withχ^(2)=0.586,P=0.746.CONCLUSION The ALBI score,ALT level,and CEA level have a certain value in predicting liver metastasis in patients with CRC.These three criteria exhibit a high level of efficacy in forecasting liver metastases in patients diagnosed with CRC.The risk prediction model developed in this work shows great potential for practical application.

GLI1 and PTTG1 expression in colorectal carcinoma patients undergoing radical surgery and their correlation with lymph node metastasis

BACKGROUND Few studies have investigated the expression of GLI1 and PTTG1 in patients undergoing radical surgery for colorectal carcinoma(CRC)and their association with lymph node metastasis(LNM).Therefore,more relevant studies and analyses need to be conducted.AIM To explore GLI1 and PTTG1 expression in patients undergoing radical surgery for CRC and their correlation with LNM.METHODS This study selected 103 patients with CRC admitted to our hospital between April 2020 and April 2023.Sample specimens of CRC and adjacent tissues were collected to determine the positive rates and expression levels of GLI1 and PTTG1.The correlation of the two genes with patients’clinicopathological data(e.g.,LNM)was explored,and differences in GLI1 and PTTG1 expression between patients with LNM and those without were analyzed.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive potential of the two genes for LNM in patients with CRC.RESULTS Significantly higher positive rates and expression levels of GLI1 and PTTG1 wereobserved in CRC tissue samples compared with adjacent tissues.GLI1 and PTTG1 were strongly linked to LNM in patients undergoing radical surgery for CRC,with higher GLI1 and PTTG1 levels found in patients with LNM than in those without.The areas under the ROC curve of GLI1 and PTTG1 in assessing LNM in patients with CRC were 0.824 and 0.811,respectively.CONCLUSION GLI1 and PTTG1 expression was upregulated in patients undergoing radical surgery for CRC and are significantly related to LNM in these patients.Moreover,high GLI1 and PTTG1 expression can indicate LNM in patients with CRC undergoing radical surgery.The expression of both genes has certain diagnostic and therapeutic significance.

Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer

BACKGROUND Synchronous liver metastasis(SLM)is a significant contributor to morbidity in colorectal cancer(CRC).There are no effective predictive device integration algorithms to predict adverse SLM events during the diagnosis of CRC.AIM To explore the risk factors for SLM in CRC and construct a visual prediction model based on gray-level co-occurrence matrix(GLCM)features collected from magnetic resonance imaging(MRI).METHODS Our study retrospectively enrolled 392 patients with CRC from Yichang Central People’s Hospital from January 2015 to May 2023.Patients were randomly divided into a training and validation group(3:7).The clinical parameters and GLCM features extracted from MRI were included as candidate variables.The prediction model was constructed using a generalized linear regression model,random forest model(RFM),and artificial neural network model.Receiver operating characteristic curves and decision curves were used to evaluate the prediction model.RESULTS Among the 392 patients,48 had SLM(12.24%).We obtained fourteen GLCM imaging data for variable screening of SLM prediction models.Inverse difference,mean sum,sum entropy,sum variance,sum of squares,energy,and difference variance were listed as candidate variables,and the prediction efficiency(area under the curve)of the subsequent RFM in the training set and internal validation set was 0.917[95%confidence interval(95%CI):0.866-0.968]and 0.09(95%CI:0.858-0.960),respectively.CONCLUSION A predictive model combining GLCM image features with machine learning can predict SLM in CRC.This model can assist clinicians in making timely and personalized clinical decisions.

Colonoscopy plays an important role in detecting colorectal neoplasms in patients with gastric neoplasms

BACKGROUND Gastric cancer(GC)and colorectal cancer(CRC)are the fifth and third most common cancer worldwide,respectively.Nowadays,GC is reported to have a potential predictive value for CRC,especially for advanced CRC.AIM To evaluate the necessity of colonoscopy for gastric neoplasm(GN)patients.METHODS Four databases,including PubMed,EMBASE,the Cochrane Library,and Ovid,were used to perform the search strategy on May 2,2023.The prevalence of colorectal neoplasms(CRN)and baseline characteristics were compared between the neoplasm group and the control group.Continuous variables are expressed as the mean difference and standard deviation.Relationships of categorical variables in the two groups are expressed as odds ratios(OR)and 95%confidence intervals(95%CIs).Subgroup analysis according to different kinds of GNs was conducted for more in-depth analysis.The results of this study are represented by forest plots.Publication bias was evaluated by a funnel plot.All data analyses were performed by STATA SE 16.0 software.RESULTS A total of 3018 patients with GNs and 3905 healthy controls(age and sex matched)were enrolled for analysis.After comparing the prevalence of CRNs between the two groups,CRNs were detected significantly more frequently in GN patients than in controls(OR=1.69,95%CI=1.28 to 2.23,I^(2)=85.12%,P=0.00),especially in patients with GC(OR=1.80,95%CI=1.49 to 2.18,I^(2)=25.55%,P<0.1).Moreover,other risk factors including age(OR=1.08,95%CI=1.00 to 1.17,I^(2)=90.13%,P=0.00)and male sex(OR=2.31,95%CI=1.26 to 4.22,I^(2)=87.35%,P=0.00),were related to the prevalence of CRNs.For patients in the GN group,body mass index(BMI,OR=0.88,95%CI=0.80 to 0.98,I^(2)=0.00%,P=0.92)and smoking(OR=1.03,95%CI=1.01 to 1.05,I^(2)=0.00%,P=0.57)were protective and risk factors for CRNs,respectively.CONCLUSION Patients are recommended to undergo colonoscopy when diagnosed with GNs,especially GC patients with a low BMI and a history of smoking.

Exosomes in metastasis of colorectal cancers: Friends or foes?

Colorectal cancer(CRC),the third most common type of cancer worldwide,threaten human health and quality of life.With multidisciplinary,including surgery,chemotherapy and/or radiotherapy,patients with an early diagnosis of CRC can have a good prognosis.However,metastasis in CRC patients is the main risk factor causing cancer-related death.To elucidate the underlying molecular mechanisms of CRC metastasis is the difficult and research focus on the investigation of the CRC mechanism.On the other hand,the tumor microenvironment(TME)has been confirmed as having an essential role in the tumorigenesis and metastasis of malignancies,including CRCs.Among the different factors in the TME,exosomes as extracellular vesicles,function as bridges in the communication between cancer cells and different components of the TME to promote the progression and metastasis of CRC.MicroRNAs packaged in exosomes can be derived from different sources and transported into the TME to perform oncogenic or tumor-suppressor roles accordingly.This article focuses on CRC exosomes and illustrates their role in regulating the metastasis of CRC,especially through the packaging of miRNAs,to evoke exosomes as novel biomarkers for their impact on the metastasis of CRC progression.

Wingless/It/β-catenin signaling in liver metastasis from colorectal cancer:A focus on biological mechanisms and therapeutic opportunities

The liver is the most common site of metastases in patients with colorectal cancer.Colorectal liver metastases(CRLMs)are the result of molecular mechanisms that involve different cells of the liver microenvironment.The aberrant activation of Wingless/It(Wnt)/β-catenin signals downstream of Wnt ligands initially drives the oncogenic transformation of the colon epithelium,but also the progression of metastatization through the epithelial-mesenchymal transition/mesenchymalepithelial transition interactions.In liver microenvironment,metastatic cells can also survive and adapt through dormancy,which makes them less susceptible to pro-apoptotic signals and therapies.Treatment of CRLMs is challenging due to its variability and heterogeneity.Advances in surgery and oncology have been made in the last decade and a pivotal role for Wnt/β-catenin pathway has been recognized in chemoresistance.At the state of art,there is a lack of clear understanding of why and how this occurs and thus where exactly the opportunities for developing anti-CRLMs therapies may lie.In this review,current knowledge on the involvement of Wnt signaling in the development of CRLMs was considered.In addition,an overview of useful biomarkers with a revision of surgical and non-surgical therapies currently accepted in the clinical practice for colorectal liver metastasis patients were provided.

Macrophage-derived SHP-2 inhibits the metastasis of colorectal cancer via Tie2-PI3K signals

This research aimed to explore the influence of Src homology-2 containing protein tyrosine phosphatase(SHP-2)on the functions of tyrosine kinase receptors with immunoglobulin and EGF homology domains 2(Tie2)-expressing monocyte/macrophages(TEMs)and the influence of the angiopoietin(Ang)/Tie2-phosphatidylinositol-3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR)(Ang/Tie2-PI3K/Akt/mTOR)signaling pathway on the tumor microvascular remodeling in an immunosuppressive microenvironment.In vivo,SHP-2-deficient mice were used to construct colorectal cancer(CRC)liver metastasis models.SHP-2-deficient mice had significantly more metastatic cancer and inhibited nodules on the liver surface than wild-type mice,and the high-level expression of p-Tie2 was found in the liver tissue of the macrophages’specific SHP-2-deficient mice(SHP-2MACKO)+planted tumor mice.Compared with the SHP-2 wild type mice(SHP-2WT)+planted tumor group,the SHP-2MAC-KO+planted tumor group experienced increased expression of p-Tie2,p-PI3K,p-Akt,p-mTOR,vascular endothelial growth factor(VEGF),cyclooxygenase-2(COX-2),matrix metalloproteinase 2(MMP2),and MMP9 in the liver tissue.TEMs selected by in vitro experiments were co-cultured with remodeling endothelial cells and tumor cells as carriers.It was found that when Angpt1/2 was used for stimulation,the SHP-2MAC-KO+Angpt1/2 group displayed evident increases in the expression of the Ang/Tie2-PI3K/Akt/mTOR pathway.The number of cells passing through the lower chamber and the basement membrane and the number of blood vessels formed by cells compared with the SHP-2WT+Angpt1/2 group,while these indexes were subjected to no changes under the simultaneous stimulation of Angpt1/2+Neamine.To sum up,the conditional knockout of SHP-2 can activate the Ang/Tie2-PI3K/Akt/mTOR pathway in TEMs,thereby strengthening tumor micro angiogenesis in the microenvironment and facilitating CRC liver metastasis.

Value and prognostic factors of repeat hepatectomy for recurrent colorectal liver metastasis

Background:More than 50%of patients with colorectal cancer develop liver metastases.Hepatectomy is the preferred treatment for resectable liver metastases.This review provides a perspective on the utility and relevant prognostic factors of repeat hepatectomy in recurrent colorectal liver metastasis(CRLM).Data sources:The keywords“recurrent colorectal liver metastases”,“recurrent hepatic metastases from colorectal cancer”,“liver metastases of colorectal cancer”,“repeat hepatectomy”,“repeat hepatic resec-tion”,“second hepatic resection”,and“prognostic factors”were used to retrieve articles published in the PubMed database up to August 2020.Additional articles were identified by a manual search of references from key articles.Results:Despite improvements in surgical methods and perioperative chemotherapy,recurrence remains common in 37%-68%of patients.Standards or guidelines for the treatment of recurrent liver metastases are lacking.Repeat hepatectomy appears to be the best option for patients with resectable metastases.The commonly reported prognostic factors after repeat hepatectomy were R0 resection,carcinoembryonic antigen level,the presence of extrahepatic disease,a short disease-free interval between initial and repeat hepatectomy,the number(>1)and size(≥5 cm)of hepatic lesions,requiring blood transfusion,and no adjuvant chemotherapy after initial hepatectomy.The median overall survival after repeat hepatectomy ranged from 19.3 to 62 months,and the 5-year overall survival ranged from 21%to 73%.Chemotherapy can act as a test for the biological behavior of tumors with the goal of avoiding unnecessary surgery,and a multimodal approach involving aggressive chemotherapy and repeat hepatectomy might be the treatment of choice for patients with early recurrent CRLM.Conclusions:Repeat hepatectomy is a relatively safe and effective treatment for resectable recurrent CRLM.The presence or absence of prognostic factors might facilitate patient selection to improve short-and long-term outcomes.

Development and validation of a nomogram for predicting metachronous peritoneal metastasis in colorectal cancer:A retrospective study

BACKGROUND Peritoneal metastasis(PM)after primary surgery for colorectal cancer(CRC)has the worst prognosis.Prediction and early detection of metachronous PM(m-PM)have an important role in improving postoperative prognosis of CRC.However,commonly used imaging methods have limited sensitivity to detect PM early.We aimed to establish a nomogram model to evaluate the individual probability of m-PM to facilitate early interventions for high-risk patients.AIM To establish and validate a nomogram model for predicting the occurrence of m-PM in CRC within 3 years after surgery.METHODS We used the clinical data of 878 patients at the Second Hospital of Jilin University,between January 1,2014 and January 31,2019.The patients were randomly divided into training and validation cohorts at a ratio of 2:1.The least absolute shrinkage and selection operator(LASSO)regression was performed to identify the variables with nonzero coefficients to predict the risk of m-PM.Multivariate logistic regression was used to verify the selected variables and to develop the predictive nomogram model.Harrell’s concordance index,receiver operating characteristic curve,Brier score,and decision curve analysis(DCA)were used to evaluate discrimination,distinctiveness,validity,and clinical utility of this nomogram model.The model was verified internally using bootstrapping method and verified externally using validation cohort.RESULTS LASSO regression analysis identified six potential risk factors with nonzero coefficients.Multivariate logistic regression confirmed the risk factors to be independent.Based on the results of two regression analyses,a nomogram model was established.The nomogram included six predictors:Tumor site,histological type,pathological T stage,carbohydrate antigen 125,v-raf murine sarcoma viral oncogene homolog B mutation and microsatellite instability status.The model achieved good predictive accuracy on both the training and validation datasets.The C-index,area under the curve,and Brier scores were 0.796,0.796[95%confidence interval(CI)0.735-0.856],and 0.081 for the training cohort and 0.782,0.782(95%CI 0.690-0.874),and 0.089 for the validation cohort,respectively.DCA showed that when the threshold probability was between 0.01 and 0.90,using this model to predict m-PM achieved a net clinical benefit.CONCLUSION We have established and validated a nomogram model to predict m-PM in patients undergoing curative surgery,which shows good discrimination and high accuracy.

Prognostic role of serum carcinoembryonic antigen in patients receiving liver resection for colorectal cancer liver metastasis:A meta-analysis

BACKGROUND Carcinoembryonic antigen(CEA)is a broad-spectrum tumor marker for differential diagnosis,monitoring,and response assessment of a variety of malignancies.AIM To evaluate whether serum CEA could predict the prognosis in patients with colorectal cancer liver metastasis(CRCLM)before and after liver resection(LR).METHODS PubMed,Embase,Cochrane,and Web of Science were systematically searched to retrieve literature,with a search cut-off date of February 27,2023.Articles were strictly screened for inclusion according to pre-specified inclusion and exclusion criteria.Data were pooled and analyzed using Stata 16.0.RESULTS This meta-analysis included 36 studies involving a total of 11143 CRCLM patients.The results showed that a high pre-LR serum CEA level was correlated with poor overall survival(OS)[hazard ratio(HR)=1.61,95%confidence interval(CI):1.49-1.75,P<0.001]and recurrence-free survival(HR=1.27,95%CI:1.11-1.45,P<0.001)in CRCLM patients.A high post-LR serum CEA level predicted poor OS(HR=2.66,95%CI:2.10-3.38,P<0.001).A comparison by treatment modality,analysis modality,patient source,and cutoff-value showed that overall,high preoperative and postoperative serum CEA levels remained correlated with a poor prognosis.CONCLUSION This study concluded that high pre-LR and post-LR serum CEA levels were significantly correlated with a poor prognosis in CRCLM patients.

Predicting lymph node metastasis in colorectal cancer:An analysis of influencing factors to develop a risk model

BACKGROUND Colorectal cancer(CRC)is a significant global health issue,and lymph node metastasis(LNM)is a crucial prognostic factor.Accurate prediction of LNM is essential for developing individualized treatment strategies for patients with CRC.However,the prediction of LNM is challenging and depends on various factors such as tumor histology,clinicopathological features,and molecular characteristics.The most reliable method to detect LNM is the histopathological examination of surgically resected specimens;however,this method is invasive,time-consuming,and subject to sampling errors and interobserver variability.AIM To analyze influencing factors and develop and validate a risk prediction model for LNM in CRC based on a large patient queue.METHODS This study retrospectively analyzed 300 patients who underwent CRC surgery at two Peking University Shenzhen hospitals between January and December 2021.A deep learning approach was used to extract features potentially associated with LNM from primary tumor histological images while a logistic regression model was employed to predict LNM in CRC using machine-learning-derived features and clinicopathological variables as predictors.RESULTS The prediction model constructed for LNM in CRC was based on a logistic regression framework that incorporated machine learning-extracted features and clinicopathological variables.The model achieved high accuracy(0.86),sensitivity(0.81),specificity(0.87),positive predictive value(0.66),negative predictive value(0.94),area under the curve for the receiver operating characteristic(0.91),and a low Brier score(0.10).The model showed good agreement between the observed and predicted probabilities of LNM across a range of risk thresholds,indicating good calibration and clinical utility.CONCLUSION The present study successfully developed and validated a potent and effective risk-prediction model for LNM in patients with CRC.This model utilizes machine-learning-derived features extracted from primary tumor histology and clinicopathological variables,demonstrating superior performance and clinical applicability compared to existing models.The study provides new insights into the potential of deep learning to extract valuable information from tumor histology,in turn,improving the prediction of LNM in CRC and facilitate risk stratification and decision-making in clinical practice.

Gastric metastasis of small cell lung carcinoma:Three case reports and review of literature

BACKGROUND Small cell lung carcinoma(SCLC)is highly susceptible to metastasis in the early stages of the disease.However,the stomach is an uncommon site of metastasis in SCLC,and only a few cases of this type of metastasis have been reported.Therefore,SCLC gastric metastases have not been systematically characterized and are easily missed and misdiagnosed.CASE SUMMARY We report three cases of gastric metastasis from SCLC in this article.The first patient presented primarily with cough,hemoptysis,and epigastric fullness.The other two patients presented primarily with abdominal discomfort,epigastric distension,and pain.All patients underwent gastroscopy and imaging examinations.Meanwhile,the immunohistochemical results of the lesions in three patients were suggestive of small cell carcinoma.Finally,the three patients were diagnosed with gastric metastasis of SCLC through a comprehensive analysis.The three patients did not receive appropriate treatment and died within a short time.CONCLUSION Here,we focused on summarizing the characteristics of gastric metastasis of SCLC to enhance clinicians'understanding of this disease.