Follow-up of colorectal cancer and patterns of recurrence

hnRNPA2B1 drives colorectal cancer progression via the circCDYL/EIF4A3/PHF8 axis

The RNA-binding protein hnRNPA2B1 acts as an m6A reader and plays a role in tumor development. This study investigates the potential mechanism of hnRNPA2B1 in colorectal cancer (CRC) progression. The expression profiles of hnRNPA2B1, circCDYL, and PHF8 in CRC cell lines were analyzed. Following si-hnRNPA2B1 transfection, CRC cell proliferation, invasion, and migration were evaluated by CCK-8 and Transwell. CDYL expression was detected after actinomycin D and RNase R treatment. RIP was conducted to assess the enrichment of hnRNPA2B1 and m6A on circCDYL. RIP and RNA pull-down assays established the interaction between circCDYL and EIF4A3/PHF8. EIF4A3 expression was evaluated using RT-qPCR and Western blot techniques. hnRNPA2B1 and PHF8 displayed high expression levels, whereas circCDYL showed low expression levels in colorectal cancer cells. Inhibition of hnRNPA2B1 reduced CRC cell proliferation, migration, and invasion. hnRNPA2B1 mechanistically elevated the m6A level of circCDYL while decreasing its expression, which in turn reduced the binding of circCDYL to EIF4A3 and enhanced PHF8 expression. In summary, hnRNPA2B1-mediated m6A modification decreases circCDYL expression, which inhibits the interaction of circCDYL with EIF4A3, enhances PHF8 expression, and ultimately facilitates CRC progression.

Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines

Introduction

Colorectal cancer (CRC) is characterized by an extremely high mortality rate, mainly caused by the high metastatic potential of this type of cancer. To date, chemotherapy remains the backbone of the treatment of metastatic colorectal cancer. Three main chemotherapeutic drugs used for the treatment of metastatic colorectal cancer are 5-fluorouracil, oxaliplatin and irinotecan which is metabolized to an active compound SN-38. The main goal of this study was to find the genes connected to the resistance to the aforementioned drugs and to construct a predictive gene expression-based classifier to separate responders and non-responders.

Methods

In this study, we analyzed gene expression profiles of seven patient-derived CRC organoids and performed correlation analyses between gene expression and IC50 values for the three standard-of-care chemotherapeutic drugs. We also included in the study publicly available datasets of colorectal cancer cell lines, thus combining two different in vitro models relevant to cancer research. Logistic regression was used to build gene expression-based classifiers for metastatic Stage IV and non-metastatic Stage II/III CRC patients. Prognostic performance was evaluated through Kaplan-Meier survival analysis and log-rank tests, while independent prognostic significance was assessed using multivariate Cox proportional hazards modeling.

Results

A small set of genes showed consistent correlation with resistance to chemotherapy across different datasets. While some genes were previously implicated in cancer prognosis and drug response, several were linked to drug resistance for the first time. The resulting gene expression signatures successfully stratified Stage II/III and Stage IV CRC patients, with potential clinical utility for improving treatment outcomes after further validation.

Discussion

This study highlights the advantages of integrating diverse experimental models, such as organoids and cell lines, to identify novel prognostic biomarkers and enhance the understanding of chemotherapy resistance in CRC.

Role of different examination methods in colorectal cancer screening: Insights and future directions

Colorectal cancer is a malignant tumor with the third and second highest incidence and mortality rates worldwide, and its mortality rate is increasing annually. Colorectal cancer evolves gradually over a long period of time. The evolving process from colorectal adenoma to colorectal cancer takes approximately 10-15 years, providing a sufficiently long "window period" for early screening and diagnosis of colorectal cancer. The recurrence and mortality rates can be controlled at a low level with an early intervention. Metaxas et al sum-marized existing screening methods and their applicable scope in a recent publication. Moreover, they provide suggestions on how to improve adherence. This editorial provides a commentary on their article and discuss the roles of different screening methods in the early screening of colorectal cancer.

The prognostic and therapeutic potential of vimentin in colorectal cancer

Several cells and molecules in the tumor microenvironment have been introduced as effective factors in the prognosis and progression of colorectal cancer. As a key element of the intermediate filament family, vimentin is expressed by mesenchymal cells in a ubiquitous manner and contributes significantly to cellular integrity and stress resistance in colorectal cancer. Recent studies have shown that alterations in the expression patterns of intermediate filaments are significantly related to cancer progression, especially in phenotypes associated with cellular migration and invasion. In addition to its multiple biological roles, vimentin also has a substantial function in mediating the epithelial-mesenchymal transition. Therefore, evaluating vimentin as an effective factor involved in the prognosis of colorectal cancer and targeting it as a novel approach to cancer therapy have become one of the main goals of many researchers worldwide. In this article, we will review the various biological functions of vimentin, as well as its relationship with colorectal cancer with the aim of providing novel insights into its clinical importance in the prognosis and treatment of colorectal cancer.

Deep learning CT reconstruction improves liver metastases detection

OBJECTIVES

Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations. Deep learning image reconstructions (DLIR) use deep neural networks to achieve a significant noise reduction compared to iterative reconstructions. While reports have demonstrated improvements in image quality, their impact on liver metastases detection remains unclear. Our main objective was to determine whether DLIR affects the number of detected liver metastasis. Our secondary objective was to compare metastases conspicuity between the two reconstruction methods.

METHODS

CT images of 121 patients with liver metastases were reconstructed using a 50% adaptive statistical iterative reconstruction (50%-ASiR-V), and three levels of DLIR (DLIR-low, DLIR-medium, and DLIR-high). For each reconstruction, two double-blinded radiologists counted up to a maximum of ten metastases. Visibility and contour definitions were also assessed. Comparisons between methods for continuous parameters were performed using mixed models.

RESULTS

A higher number of metastases was detected by one reader with DLIR-high: 7 (2-10) (median (Q₁-Q₃); total 733) versus 5 (2-10), respectively for DLIR-medium, DLIR-low, and ASiR-V (p < 0.001). Ten patents were detected with more metastases with DLIR-high simultaneously by both readers and a third reader for confirmation. Metastases visibility and contour definition were better with DLIR than ASiR-V.

CONCLUSION

DLIR-high enhanced the detection and visibility of liver metastases compared to ASiR-V, and also increased the number of liver metastases detected.

CRITICAL RELEVANCE STATEMENT

Deep learning-based reconstruction at high strength allowed an increase in liver metastases detection compared to hybrid iterative reconstruction and can be used in clinical oncology imaging to help overcome the limitations of CT.

KEY POINTS

Detection of liver metastases is crucial but limited with standard CT reconstructions. More liver metastases were detected with deep-learning CT reconstruction compared to iterative reconstruction. Deep learning reconstructions are suitable for hepatic metastases staging and follow-up.

Identification and validation of a novel 17 coagulation-related genes signature for predicting prognostic risk in colorectal cancer

Background

Patients with colorectal cancer commonly experience disturbances in coagulation homeostasis. Activation of the coagulation system contributes to cancer-associated thrombosis as the second risk factor for death in cancer patients. This study intended to discover coagulation-related genes and construct a risk model for colorectal cancer patients' prognosis.

Methods

Coagulation-related genes were identified by searching coagulation-related pathways in the Molecular Signatures Database. Transcriptomic data and clinical data were downloaded from the Cancer Genome Atlas and Gene Expression Omnibus datasets. Univariate Cox and backward stepwise regression were utilized to identify prognosis-related genes and construct a predictive risk model for the training cohort. Next, survival analysis determines the risk model's predictive power, correlation with clinicopathological characteristics, and nomogram. Additionally, we characterized the variances in immune cell infiltration, somatic mutations, immune checkpoint molecules, biological functions, and drug sensitivity between the high- and low-score patients.

Result

Eight hundred forty-five genes were obtained by searching the theme term "coagulation" after de-duplication. After univariate regression analysis, 69 genes correlated with prognosis were obtained from the Cancer Genome Atlas dataset. A signature consisting of 17 coagulation-related genes was established through backward stepwise regression. The Kaplan-Meier curve indicated a worse prognosis for high-score patients. Time-dependent receiver operating characteristic curve analysis demonstrated high accuracy in predicting overall survival. Further, the results were validated by two independent datasets (GSE39582 and GSE17536). Combined with clinicopathological characteristics, the risk model was proven to be an independent prognostic factor to predict poor pathological status and worse prognosis. Furthermore, high-score patients had significantly higher stromal cell infiltration. Low-score patients were associated with high infiltration of resting memory CD4+ T cells, activated CD4+ T cells, and T follicular helper cells. The low-score patients exhibited increased expression of immune checkpoint genes, and this might be relevant to their better prognosis. High-score patients exhibited lower IC50 values of Paclitaxel, Rapamycin, Temozolomide, Cyclophosphamide, etc. The differential signaling pathways mainly involve the calcium signaling pathway and the neuroactive ligand-receptor interaction. Lastly, a nomogram was constructed and showed a good prediction.

Conclusion

The prognostic signature of 17 coagulation-related genes had significant prognostic value for colorectal cancer patients. We expect to improve treatment modalities and benefit more patients through research on molecular features.

Machine learning for predicting colon cancer recurrence

INTRODUCTION

Colorectal cancer (CRC) is a global public health concern, ranking among the most commonly diagnosed malignancies worldwide. Despite advancements in treatment modalities, the specter of CRC recurrence remains a significant challenge, demanding innovative solutions for early detection and intervention. The integration of machine learning into oncology offers a promising avenue to address this issue, providing data-driven insights and personalized care.

METHODS

This retrospective study analyzed data from 396 patients who underwent surgical procedures for colon cancer (CC) between 2010 and 2021. Machine learning algorithms were employed to predict CC recurrence, with a focus on demographic, clinicopathological, and laboratory characteristics. A range of evaluation metrics, including AUC (Area Under the Receiver Operating Characteristic), accuracy, recall, precision, and F1 scores, assessed the performance of machine learning algorithms.

RESULTS

Significant risk factors for CC recurrence were identified, including sex, carcinoembryonic antigen (CEA) levels, tumor location, depth, lymphatic and venous invasion, and lymph node involvement. The CatBoost Classifier demonstrated exceptional performance, achieving an AUC of 0.92 and an accuracy of 88 % on the test dataset. Feature importance analysis highlighted the significance of CEA levels, albumin levels, N stage, weight, platelet count, height, neutrophil count, lymphocyte count, and gender in determining recurrence risk.

DISCUSSION

The integration of machine learning into healthcare, exemplified by this study's findings, offers a pathway to personalized patient risk stratification and enhanced clinical decision-making. Early identification of individuals at risk of CC recurrence holds the potential for more effective therapeutic interventions and improved patient outcomes.

CONCLUSION

Machine learning has the potential to revolutionize our approach to CC recurrence prediction, emphasizing the synergy between medical expertise and cutting-edge technology in the fight against cancer. This study represents a vital step toward precision medicine in CC management, showcasing the transformative power of data-driven insights in oncology.

Adjuvant oxaliplatin-based chemotherapy comparing observation alone after radical resection of metachronous metastases of colorectal cancer: interim analysis

Introduction. Despite the registered standard treatment option for patients who underwent radical resection for metachronous metastases of colorectal cancer (CRC), the feasibility of adjuvant chemotherapy (ACT) for all patients seems controversial. Due to studies demonstrating improved disease-free survival rates with postoperative chemotherapy vs observation, it would seem that there is reasonable expectation of improved overall survival (OS) rates, which, however, were not statistically different between groups. This article presents the interim results of our own study.

Aim. To analyse the efficacy of ACT vs dynamic observation in patients who underwent surgery for metachronous metastases of colorectal cancer.

Materials and methods. It was a prospective-retrospective, non-randomized, non-inferiority study. A total of 120 patients were recruited between June 2008 and September 2022. The ACT group included 71 patients. All patients received only oxaliplatin-based chemotherapy regimens; the dynamic observation group included 49 patients.

Results. The interim analysis showed that the median disease-free survival (mDFS) in the ACT group (n = 71) was 20.9 months (13.7–28.3) vs 24.4 months in the dynamic observation group (n = 49) (11.1–37.7), HR: 0.76 (95% CI: 0.45–1.29), p = 0.29. Two-year disease-free survival (DFS) rates were 46.6% in the post-surgery chemotherapy (CT) group (n = 50) and 55.5% in the experimental group (n = 31), HR: 0.69 (95% CI: 0.39–1.2), p = 0.21.

Conclusion. ACT has not improved the long-term treatment outcomes in patients who underwent radical resection for metachronous metastases of CRC.

Tumor abnormal protein as a promising biomarker for screening solid malignancies and monitoring recurrence and metastasis

Background

Tumor abnormal protein (TAP), the sugar chain protein released by tumor cells during metabolism, allows the development of a technique that exploits aggregated tumor-associated abnormal sugar chain signals in diagnosing malignancies. Clinically, we have found that TAP detection can well predict some malignancies, but several physicians have not paid attention, and related studies have been minimal.

Methods

We evaluated TAP's ability to distinguish between malignancies and benign diseases by receiver operating characteristic (ROC) curve analysis and studied the possibility of monitoring malignancy progression by evaluating TAP levels in follow-up. We used Kaplan-Meier survival curves and Cox proportional hazard regression models to investigate the relationship between TAP and prognosis.

Results

TAP levels were higher in whole solid malignancies and every type of solid malignancy than in benign patients. ROC curve analysis showed that TAP levels aid in distinguishing between malignancies and benign diseases. TAP levels decreased in patients with complete remission (CR) after treatment and increased in patients with relapse from CR. Patients with metastases had higher TAP levels than non-CR patients without metastases. There was no difference in overall survival among patients with different TAP levels, and multivariate analysis suggested that TAP was not an independent risk factor for solid malignancies.

Conclusion

TAP is an effective screening biomarker for many solid malignancies that can be used to monitor the progression of malignancies but not to prognosticate.

Tumor cell-derived exosomes mediating hsa_circ_0001739/lncRNA AC159540.1 facilitate liver metastasis in colorectal cancer

BACKGROUND

The current study probed into how tumor cell-derived exosomes (Exos) mediated hsa_circ_0001739/lncRNA AC159540.1 to manipulate microRNA (miR)-218-5p/FTO-N6-methyladenosine (m6A)/MYC signal axis in liver metastasis in colorectal cancer (CRC).

METHODS

hsa_circ_0001739 and lncRNA AC159540.1 were identified as the upstream regulator of miR-218-5p using ENCORI and LncBase databases. Expression patterns of miR-218-5p, hsa_circ_0001739, lncRNA AC159540.1, FTO, and MYC were detected, accompanied by loss-and-gain-of function assays to examine their effects on CRC cell biological functions. SW480 cells-derived Exos were purified, followed by in vitro studies to uncover the effect of hsa_circ_0001739/lncRNA AC159540.

RESULTS

miR-218-5p was downregulated while hsa_circ_0001739/lncRNA AC159540.1 was upregulated in CRC tissues and cells. Silencing of hsa_circ_0001739/lncRNA AC159540.1 restrained the malignant phenotypes of CRC cells. Exos-mediated hsa_circ_0001739/lncRNA AC159540.1 competitively inhibited miR-218-5p to elevate FTO and MYC. The inducing role of Exos-mediated hsa_circ_0001739/lncRNA AC159540.1 in CRC was also validated in vivo.

CONCLUSION

Conclusively, Exos-mediated circ_0001739/lncRNA AC159540.1 regulatory network is critical for CRC, offering a theoretical basis for CRC treatment.

Effect of serum lactate dehydrogenase-to-albumin ratio (LAR) on the short-term outcomes and long-term prognosis of colorectal cancer after radical surgery

BACKGROUND

Whether serum lactate dehydrogenase-to-albumin ratio (LAR) influenced the outcomes of colorectal cancer (CRC) patients after radical surgery remained unclear. Therefore, this study sought to examine how LAR influences the short-term and long-term outcomes of CRC patients who have undergone radical surgery.

METHODS

This study retrospectively included CRC patients who underwent radical resection between January 2011 and January 2020. We compared short-term outcomes, as well as overall survival (OS) and disease-free survival (DFS), among various groups. Both univariate and multivariate logistic regression analyses were utilized to pinpoint independent risk factors associated with overall complications and major complications. Moreover, Cox regression analysis were conducted for OS and DFS. Odds ratio (OR) and Hazard ratio (HR) were adjusted.

RESULTS

This study encompassed a cohort of 3868 patients. 3440 patients were in the low LAR group and 428 patients constituted the high LAR group. In the high LAR group, patients experienced significantly longer operative times (p < 0.01), larger intraoperative blood loss (p < 0.01), and extended postoperative hospital stays (p < 0.01). Additionally, the incidence of both overall complications (p < 0.01) and major complications (p < 0.01) was higher in the high LAR group compared to the low LAR group. Furthermore, LAR was emerged as an independent prognostic factor for overall complications [OR/95% CI: (1.555/1.237 to 1.954), p < 0.01] and major complications [OR/95% CI: (2.178/1.279 to 3.707), p < 0.01]. As for long-term survival, the high LAR group had worse OS in stage II (p < 0.01) and stage III (p < 0.01). In both stage II (p < 0.01) and stage III (p < 0.01), the high LAR group exhibited poorer DFS. Additionally, according to Cox regression analysis, LAR was identified as an independent predictor for both OS [HR/95% CI: (1.930/1.554 to 2.398), p < 0.01] and DFS [HR/95% CI: (1.750/1.427 to 2.146), p < 0.01].

CONCLUSION

LAR emerged as an independent predictor not only for overall complications and major complications but also for both OS and DFS, highlighting its significance and deserving the attention of surgeons.

P300 increases CSNK2A1 expression which accelerates colorectal cancer progression through activation of the PI3K-AKT-mTOR axis

Casein kinase 2 alpha 1 (CSNK2A1) is a known oncogene, but its role in the progression of colorectal cancer (CRC) remain undefined. Here, we investigated the effects of CSNK2A1 during CRC development. In the current study, CSNK2A1 expression in the colorectal cancer cell lines (HCT116, SW480, HT29, SW620 and Lovo) vs. normal colorectal cell line (CCD841 CoN) were compared via RT-qPCR and western blotting. The role of CSNK2A1 on CRC growth and metastases were investigated through Transwell assay. Immunofluorescence analysis was used to investigate the expression of EMT-related proteins. The association between P300/H3K27ac and CSNK2A1 were analyzed using UCSC bioinformatics and Chromatin-immunoprecipitation (Ch-IP) assays. Results revealed that both the mRNA and protein levels of CSNK2A1 in HCT116, SW480, HT29, SW620 and Lovo cells were upregulated. Additionally, P300-mediated H3K27ac activation at the CSNK2A1 promoter was found to drive the increase in CSNK2A1 expression. Transwell assay showed that CSNK2A1 overexpression increased the migration and invasion of HCT116 and SW480 cells, which decreased following CSNK2A1 silencing. CSNK2A1 was also found to facilitate EMT in HCT116 cells, evidenced by the increases of N-cadherin, Snail and Vimentin expression, and loss of E-cadherin. Importantly, the levels of p-AKT-S473/AKT, p-AKT-T308/AKT, and p-mTOR/mTOR in cells overexpressing CSNK2A1 were high, but significantly decreased following CSNK2A silencing. The PI3K inhibitor BAY-806946 could reverse the increase in p-AKT-S473/AKT, p-AKT-T308/AKT, p-mTOR/mTOR induced by CSNK2A1 overexpression and suppress CRC cell migration and invasion. In conclusion, we report a positive feedback mechanism through which P300 enhances CSNK2A1 expression and accelerates CRC progression through the activation of the PI3K-AKT-mTOR axis.

Shikonin potentiates therapeutic efficacy of oxaliplatin through reactive oxygen species-mediated intrinsic apoptosis and endoplasmic reticulum stress in oxaliplatin-resistant colorectal cancer cells

Oxaliplatin (OXA) has been recognized as a third-generation platinum-based chemotherapeutic agent with stellar therapeutic efficacy in managing colorectal cancer (CRC). Nevertheless, resistance to OXA in CRC patients hinders its effectiveness. Shikonin (SHI), a natural naphthoquinone derived from Arnebia euchroma (Royle) Johnst., features a broad pharmacological profile and minimal toxicities. To assess the synergism of SHI and OXA towards OXA-resistant CRC cells (HCT116^R ), we employed in vitro and in vivo pharmacological assays. Our experiments provided evidence that SHI, either alone or in combination with OXA, considerably reduced cell proliferation, triggered apoptosis, and induced the generation of reactive oxygen species (ROS) in HCT116^R cells. Furthermore, the combination of SHI and OXA dramatically curbed the extent of HCT116^R -initiated xenograft growth in mouse models. Bioinformatics, western blot, and ROS assays highlighted that the mechanisms of SHI against OXA-resistant CRC cells may involve the induction of cellular responses to chemical stress, intrinsic apoptosis, as well as endoplasmic reticulum stress pathways mediated by ROS. Notably, the synergism of SHI+OXA was partially abrogated by an ROS inhibitor N-acetyl cysteine. Our findings imply the potential of SHI to boost the sensitivity of OXA to CRC, offering promising benefits for clinical strategies to combat OXA resistance.

High incidence combination of multiple primary malignant tumors of the digestive system

BACKGROUND

Clinical reports of multiple primary malignant tumors (MPMTs) in the digestive system are increasing. In China, although the survival rate of patients with MPMTs is increasing, the quality of life is very low. Many patients have reached the advanced stage when the second primary tumor is found, resulting in no early intervention and treatment. This is due to the misunderstanding of MPMTs by clinicians, who treat such tumors as metastases. Therefore, before a patient has a second primary tumor, doctors should understand some common combinations of digestive system MPMTs to provide clinical guidance to the patient.

AIM

To explore the high incidence combination of digestive system MPMTs under heterochronism and synchronization.

METHODS

A total of 1902 patients with MPMTs at Peking Union Medical College Hospital were analyzed retrospectively. They were divided into metachronous MPMT and synchronous MPMT groups, and then the high incidence combinations of the first primary cancer and the second primary cancer in metachronous cancer and synchronous cancer were sorted. Sex and age differences between metachronous and synchronous tumors were tested by the chi square test and t test, respectively. A P value < 0.05 was considered as statistically significant, and SPSS version 26.0 (SPSS Inc., Chicago, Illinois, United States) was used for statistical analysis.

RESULTS

Among the 1902 patients with MPMTs confirmed by pathology, 1811 (95.2%) cases were secondary primary cancers, 89 (4.7%) cases were tertiary primary cancers, and 2 (0.1%) cases were quaternary primary cancers. Most (88.2%) of the secondary primary cancers were identified as metachronous multiple primary cancers six months after diagnosis of the first primary cancer. The top ten most common MPMTs in the first primary cancer group ranged from high to low as follows: Breast cancer, thyroid cancer, nonuterine cancer, lung cancer, colon cancer, kidney cancer, uterine cancer, bladder cancer, rectal cancer, and gastric cancer. The highest incidence rate of the first primary cancer in male metachronous cancer was lung cancer (11.6%), the highest incidence rate of the second primary cancer was still lung cancer (24.9%), the highest incidence rate of the first primary cancer in female metachronous cancer was breast cancer (32.7%), and the highest incidence rate of the second primary cancer was lung cancer (20.8%). Among them, breast cancer, nonuterine cancer and uterine cancer were female-specific malignant tumor types, and thyroid cancer also accounted for 79.6% of female patients. The top five metachronous cancer combinations, independent of female-specific malignant tumor types and thyroid cancer, were colon cancer and lung cancer (26 cases), kidney cancer and lung cancer (25 cases), rectal cancer and lung cancer (20 cases), gastric cancer and lung cancer (17 cases), and bladder cancer and lung cancer (17 cases). The most common synchronous cancer combination was colon cancer and rectal cancer (15 cases).

CONCLUSION

Screening for lung cancer should be performed six months after the detection of colon cancer while rectal cancer screening should be performed within six months.

Cost-effectiveness analysis of colonoscopy and fecal immunochemical testing for colorectal cancer screening in China

Objective

This study aimed to evaluate the cost-effectiveness of the colorectal cancer screening in China, and that when the screening was implemented in a specific region.

Methods

A 13-state Markov model was established to compare four screening protocols, including annual fecal immunochemical testing (FIT1), biennial fecal immunochemical testing (FIT2), electronic colonoscopy every 10 years (e-CSPY10), and electronic colonoscopy every 5 years (e-CSPY5), with no screening from the perspective of Chinese healthcare system. The model simulated the health states of a cohort of 100,000 average-risk individuals aging from 50 to 75. Additionally, scenarios including the implementation in a specific region, starting from 40, and incompletely successful treatment of cancer were also analyzed.

Results

Annual and biennial FIT could save 8.13USD (US Dollar) and 44.96USD per person, and increase 0.0705QALYs (Quality-Adjusted Life Years) and 0.2341 QALYs compared with no screening, respectively. Annual FIT could decrease costs by 36.81USD per person and increase 0.1637 QALYs in comparison to biennial FIT. The results showed that both annual and biennial FIT for screening were dominant over no screening, and annual FIT was dominant over biennial FIT. The ICER (Incremental Cost-Effectiveness Ratio) for e-CSPY10 were 1183.51USD/QALY and 536.66USD/QALY compared with FIT1 and FIT2. The ICER for e-CSPY5 were 1158.16USD/QALY and 770.85USD/QALY compared with FIT1 and FIT2. And the ICER for e-CSPY5 relative to e-CSPY10 was 358.71USD/QALY. All the ICER values were lower than the economic threshold of 2021 Chinese GDP (Gross Domestic Product) per capita in 2021(12554.42USD).

Conclusions

It is worthwhile to popularize CRC screening in mainland China, as FIT always saving costs and colonoscopy is cost-effective. Regions with high income can take electronic colonoscopy every 10 years, or even every 5 years into consideration when determining the specific strategies.

Inhibition of Colon Cancer Recurrence via Exogenous TRAIL Delivery Using Gel-like Coacervate Microdroplets

Colon cancer (CC) belongs to the three major malignancies with a high recurrence rate. Therefore, a novel drug delivery system that can prevent CC recurrence while minimizing side effects is needed. Tumor-necrosis-factor-related apoptosis-inducing ligand (TRAIL) has recently been spotlighted as a protein drug that can induce apoptosis of cancer cells specifically. However, its short in vivo half-life is still a challenge to overcome. Hence, in this study, a gel-like mPEGylated coacervate (mPEG-Coa) delivery platform was developed through electrostatic interaction of mPEG-poly(ethylene arginylaspartate diglyceride) (mPEG-PEAD) and heparin for effective protection of cargo TRAIL, subsequently preserving its bioactivity. mPEG-Coa could protect cargo TRAIL against protease. Sustained release was observed for a long-term (14 days). In addition, recurrence of HCT-116 cells was suppressed when cells were treated with TRAIL-loaded mPEG-Coa for 7 days through long-term continuous supply of active TRAIL, whereas re-proliferation occurred in the bolus TRAIL-treated group. Taken together, these results suggest that our gel-like mPEG-Coa could be utilized as a functional delivery platform to suppress CC recurrence by exogenously supplying TRAIL for a long time with a single administration.