The Next Frontier for Colorectal Cancer Screening: Blood-Based Tests.

Colorectal cancer is associated with substantial morbidity and mortality worldwide. Detection of early colorectal cancer is possible through approved screening tests but overall adherence is quite low. Implementation of effective noninvasive options could increase screening uptake and prevent a significant number of deaths. Noninvasive early cancer detection can potentially be achieved using a liquid biopsy. In this issue of Cancer Research, Cao and colleagues report on a novel multidimensional fragmentomics assay, named FRAGTECT, for colorectal cancer detection in circulating cell-free DNA with promising results. See related article by Cao et al., p. 3286.

Evaluation of blood MSI burden dynamics to trace immune checkpoint inhibitor therapy efficacy through the course of treatment.

Analysis of serial liquid biopsy (LB) samples has been found to be a promising approach for the monitoring of tumor dynamics in the course of therapy for patients with colorectal cancer (CRC). Currently, somatic mutations are used for tracing the dynamics of the tumor via LB. However, the analysis of the dynamic changes in the molecular signatures such as microsatellite instability (MSI) is not currently used. We hypothesized that changes in blood MSI burden (bMSI) could be registered using serial LB sampling in the course of immune checkpoint inhibitors (ICI), and that its changes could potentially correlate with treatment outcomes. We report the preliminary findings of the observational trial launched to study (NCT06414304) the dynamics of bMSI in 9 MSI-positive CRC patients receiving ICI. NGS-based MSI testing was performed on both pre-treatment FFPE and serial LB samples. For patients who had detectable bMSI burden in any of the LB samples (n = 8, 89%), median bMSI was 1.4% (range, 0.01-40%). Among patients with detectable MSI in available FFPE samples, median MSI burden was 29.3% (range, 10-40%). bMSI detected in baseline LB and FFPE samples were positively correlated (Pearson's R 0.47). Maximal variant allele frequencies of driver mutations observed in LB were also positively correlated with bMSI burden (Pearson's R 0.7). Patients who had clinical benefit had undetectable bMSI burden at follow-up. Our results provide the rationale for further validation of bMSI as a predictive biomarker of ICI in MSI-positive patients.

Associations between pre-operative cholesterol levels with long-term survival after colorectal cancer surgery: a nationwide propensity score-matched cohort study.

PURPOSE: Altered lipid metabolism frequently occurs in patients with solid cancers and dyslipidemia has been associated with poorer outcomes in patients with colorectal cancer. This study sought to investigate whether cholesterol levels are associated with clinical outcomes and can serve as survival predictors. METHODS: We conducted a retrospective cohort study with Danish patients diagnosed with colorectal cancer who had surgery with curative intent for UICC stages I to III between 2015 and 2020. Using propensity score adjustment, we matched patients in a 1:1 ratio to examine the impact of total cholesterol (TC) > 4 mmol/L vs. ≤ 4 mmol/L within 365 days prior to surgery on overall survival (OS) and disease-free survival (DFS). RESULTS: A total of 3443 patients were included in the study. Median follow-up time was 3.8 years. Following propensity score matching, 1572 patients were included in the main analysis. There was no statistically significant difference in OS or DFS between patients with TC > 4 mmol/L compared with TC ≤ 4 mmol/L (HR: 0.82, 95% CI, 0.65-1.03, HR: 0.87, 95% CI, 0.68-1.12, respectively.). A subgroup analysis investigating TC > 4 mmol/L as well as low-density lipoprotein (LDL) > 3 mmol/L found a significant correlation with OS (HR: 0.74, 95% CI, 0.54-0.99). CONCLUSION: TC levels alone were not associated with OS or DFS in patients with colorectal cancer. Interestingly, higher TC and LDL levels were linked to better overall survival, suggesting the need for further exploration of cholesterol's role in colorectal cancer. TRIAL REGISTRATION: Not applicable.

The prognostic role of circulating tumour DNA detected prior to clinical diagnosis of colorectal cancer in the HUNT study.

BACKGROUND: Today, the prognostic tools available at the time of diagnosis in colorectal cancer (CRC) are limited. Better prognostic tools are a prerequisite for personalised treatment. This study aimed to investigate whether circulating tumour DNA (ctDNA) markers found in plasma before clinical diagnosis of CRC could contribute to the prediction of poor prognosis. METHODS: This observational cohort study included patients diagnosed with CRC stage I-III within 24 months following participation in the Trøndelag Health Study (n = 85). Known methylated ctDNA biomarkers of CRC were analysed by PCR in plasma. Outcomes were overall survival (OS), recurrence-free survival (RFS) and poor prognosis (PP). Candidate clinical and methylated ctDNA predictors of the outcomes were identified by Cox regression analyses. RESULTS: Methylated GRIA4 (HR 1.96 (1.06-3.63)), RARB (HR 9.48 (3.00-30.00)), SLC8A1 (HR 1.97 (1.03-3.77)), VIM (HR 2.95 (1.22-7.14)) and WNT5A (HR 5.83 (2.33-14.56)) were independent predictors of OS, methylated RARB (HR 9.67 (2.54-36.81)), SDC2 (HR 3.38 (1.07-10.66)), SLC8A1 (HR 2.93 (1.01-8.51)) and WNT5A (HR 6.95 (1.81-26.68)) were independent predictors of RFS and methylated RARB (HR 6.11 (1.69-22.18)), SDC2 (HR 2.79 (1.20-6.49)) and WNT5A (HR 5.57 (3.04-15.26)) were independent predictors of PP (p < 0.05). CONCLUSIONS: Prediagnostic ctDNA markers are promising contributors to predicting poor prognosis in CRC, potentially becoming one of the tools guiding more personalised treatment.

Clinical Value of Routine Biomarkers for Colorectal Patients: a Retrospective Study.

BACKGROUND: Colorectal cancer (CRC) has always been one of the most common malignant tumors in the world. Whether the factors related to the diagnosis and risk of CRC can be found from the existing peripheral blood routine indicators. METHODS: The relevant data of patients with colorectal diseases in our hospital of about ten years were collected, the differences among the biomarkers in serum were analyzed, the risk factors were analyzed by logistic regression, the ROC was drawn, and the diagnostic efficacy was evaluated. RESULTS: Colorectal malignancies and benign diseases in AST, GGT, LDH, D-BIL, ALB, ALP, AchE, CR, TP, PA, RDW, LMR, NMR, TC, TG, HDL-C, CA19-9, CEA, Cyfra21-1, and Fer have statistical differences (p < 0.05). ALB, PLR, CEA, Fer, NLR, TP, GGT, and Cyfra21-1 in different malignant tumor types have statistical differences (p < 0.05). When CEA increased by 1, the risk of colorectal cancer increased by 45.7%. When AchE and HDL-C increased by 1, the risk of colorectal cancer decreased by 32% and 66.8%. Compared with other blood groups, blood group AB colorectal cancer patients had a shallower tumor invasion (p = 0.047). HDL-C were significantly weakly-correlated with tumor size (p < 0.05, |r| < 0.4). CEA, AchE, and HDL-C were combined diagnosed; the sensitivity, PPV, and accuracy were 94.35%, 95.43%, 90.77%, respectively. CONCLUSIONS: The occurrence and development of colorectal cancer is the result of multi-factors, and the combined detection of multi-indicators has positive significance for the diagnosis, pathological stage, and prevention of CRC.

[Peripheral blood cell count composite score as a prognostic factor in patients with colorectal cancer].

Objective: To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system. Methods: This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis. Results: The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×109/L, 1.41×109/L, and 355×109/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS (P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival (P<0.05), but not progression-free survival (P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%-75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion: This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Diagnostic performance of serum metabolites biomarker associated with colorectal adenoma: a systematic review.

Evidence on serum biomarkers as a non-invasive tool to detect colorectal adenoma (CRA) in the general population is quite promising. However, the sensitivity and specificity of these serum biomarkers in detecting disease are still questionable. This study aimed to systematically review the evidence on the diagnostic performance of serum biomarkers associated with CRA. Database searches on PubMed, Scopus, and WoS from January 2014 to December 2023 using PRISMA guidelines resulted in 4,380 citations, nine of which met inclusion criteria. The quality of these studies was assessed using the QUADOMICS tool. These studies reported on 77 individual/panel biomarkers which were further analysed to find associated altered pathways using MetaboAnlyst 5.0. Diagnostic accuracy analysis of these biomarkers was conducted by constructing a receiver operating characteristic (ROC) curve using their reported sensitivity and specificity. This review identified six potential serum metabolite biomarkers with 0.7

piRNA in Machine-Learning-Based Diagnostics of Colorectal Cancer.

Objective biomarkers are crucial for early diagnosis to promote treatment and raise survival rates for diseases. With the smallest non-coding RNAs-piwi-RNAs (piRNAs)-and their transcripts, we sought to identify if these piRNAs could be used as biomarkers for colorectal cancer (CRC). Using previously published data from serum samples of patients with CRC, 13 differently expressed piRNAs were selected as potential biomarkers. With this data, we developed a machine learning (ML) algorithm and created 1020 different piRNA sequence descriptors. With the Naïve Bayes Multinomial classifier, we were able to isolate the 27 most influential sequence descriptors and achieve an accuracy of 96.4%. To test the validity of our model, we used data from piRBase with known associations with CRC that we did not use to train the ML model. We were able to achieve an accuracy of 85.7% with these new independent data. To further validate our model, we also tested data from unrelated diseases, including piRNAs with a correlation to breast cancer and no proven correlation to CRC. The model scored 44.4% on these piRNAs, showing that it can identify a difference between biomarkers of CRC and biomarkers of other diseases. The final results show that our model is an effective tool for diagnosing colorectal cancer. We believe that in the future, this model will prove useful for colorectal cancer and other diseases diagnostics.

The value of SDC2 and Septin9 combined with serum tumor markers in early diagnosis of colorectal cancer.

OBJECTIVE: The aim of this study is to evaluate the significance of combined detection of Septin9 and syndecan-2 (SDC2) methylation markers and serum tumor markers for the early diagnosis of colorectal cancer. METHODS: A total of 116 patients diagnosed with colorectal cancer between December 2022 and February 2024 were designated as the colorectal cancer group. Additionally, 31 patients with colorectal adenoma were assigned to the adenoma group, while 44 individuals undergoing routine physical examinations were included in the control group. Concentrations of Septin9, SDC2, fecal occult blood (FOB), and four tumor markers-carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), carbohydrate antigen 125 (CA125), and carbohydrate antigen 724 (CA724)-were measured. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves for Septin9, SDC2, the four tumor markers, FOB, the combination of Septin9 and SDC2, and the combined use of all seven indicators (CEA, CA19-9, CA125, CA72-4, FOB, Septin9, and SDC2). RESULTS: The colorectal cancer group exhibited the highest positive rates for Septin9, SDC2, the four tumor markers, the combined detection of Septin9 and SDC2, and the combined detection of all seven indicators, compared to both the adenoma and control groups (P < 0.05). The adenoma group also showed higher positive rates than the control group (P < 0.05). For patients with stage I-III colorectal cancer, the positive rates for the combined detection of Septin9 and SDC2 were 81.3%, 78.9%, and 90.2%, respectively, surpassing those for the combined detection of the four tumor markers (43.8%, 55.3%, and 61.0%). Additionally, the positive rates for the two-gene combination in stage III colorectal cancer were higher than those for FOB (P < 0.05). The sensitivity and area under the curve (AUC) for SDC2 were 73.3% and 0.855, respectively, exceeding the sensitivity and AUC for the combined four tumor markers, which were 60.3% and 0.734 (P < 0.05). The combined detection of the two methylated genes demonstrated a sensitivity of 86.2% and an AUC of 0.908, outperforming both FOB and the combined detection of the four tumor markers (P < 0.05). CONCLUSION: The detection of SDC2 exhibits high sensitivity for colorectal cancer, and when combined with Septin9, it significantly enhances the diagnostic accuracy for early-stage colorectal cancer, offering substantial clinical value.

Screening value of methylated Septin9 and lymphocyte-to-monocyte ratio in colorectal cancer.

The lymphocyte-to-monocyte ratio (LMR) is an indicator of inflammation in blood routine tests; however, little is known about its screening value in patients with colorectal cancer (CRC). The aim of this study was to explore the screening value of LMR and methylated Septin9 (mSEPT9) in CRC patients. The clinical data of 420 patients with CRC, 61 with adenomatous polyps, and 175 healthy individuals from 2018 to 2022 were retrospectively analyzed, and corresponding predictive nomograms were established. The results showed that the levels of LMR and mSEPT9 in the CRC group were significantly lower than those in the control group (P < .05). Meanwhile, the levels of LMR and mSEPT9 in right-sided CRC were significantly lower than those in left-sided CRC (P < .05). With the progression of CRC from stage I to IV, the levels of LMR and mSEPT9 also decreased gradually, and the levels of mSEPT9 in stages III and IV were significantly lower than those in stages I and II (P < .05). Receiver operating curve (ROC) results showed that mSEPT9 had the highest single diagnostic value for CRC, with an area under curve (AUC) of 0.810. The LMR with mSEPT9 combination showed the best combined diagnostic value for CRC, with AUC of 0.885. When the cutoff values of mSEPT9 and LMR were taken as 43.835 and 3.365, the sensitivity and specificity of this combination reached 82.3% and 84.6%, respectively. Our findings suggest that LMR and mSEPT9 differ in non-tumor group and CRC groups with different subtypes and stages, LMR with mSEPT9 combination can further improve sensitivity, and the novel predictive nomogram for CRC based on LMR and mSEPT9 can be further promoted.

Investigation of pre and postoperative Th1/Th2 cytokine balance and novel cytokines in colorectal cancer patients.

Colorectal cancer (CRC) is a major health problem worldwide and is usually detected in advanced stages, although it is highly treatable with early detection. The aim of this study was to examine the serum levels of various cytokines involved in the pathogenesis of CRC. The study included 29 patients and 30 healthy volunteers. Blood samples were collected twice from the patient group, before and after surgery, and these samples were evaluated for interleukin (IL) 4, 10, 23r, 37, 38, 40 and interferon (IFN) gamma levels. The results showed that IL-4 and IL-38 levels were significantly lower in the preoperative serum samples of the patient group compared to the control group (p < 0.001 and p = 0.01, respectively), while IL-4, IL-10, IL-38 and IL-40 levels increased significantly in the postoperative period (p = 0.004, p = 0.02, p = 0.03 and p = 0.004, respectively). These findings may contribute to the development of immunotherapy agents in the treatment of CRC. However, comprehensive studies on larger patient groups are needed to fully understand the role of cytokines in CRC pathogenesis.

Evaluation of peripheral blood inflammation indexes as prognostic markers for colorectal cancer metastasis.

The aim of this study was to evaluate the prognostic value of peripheral blood inflammation indexes in patients with metastatic Colorectal Cancer (CRC) and to establish a predictive scoring system. A total of 324 CRC patients diagnosed through pathological examination from January 2017 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were included. The prognosis of patients with metastatic CRC was examined, and the correlation between IL-10 expression in pathological tissues and IL-10 expression in serum was analyzed. The results showed that the prognosis of CRC was poorer when metastasis occurred (P < 0.001). Additionally, IL-10 was highly expressed in the metastatic CRC group (P = 0.018), and the expression of IL-10 in pathological tissues of patients with metastatic CRC was positively correlated with the expression of IL-10 in serum (P = 0.037). The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-white blood cell ratio (LWR), aggregate index of systemic inflammation (AISI), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI), and interleukin-10 (IL-10) were calculated and determined by ROC curve. The critical values were 2.135, 3.735, 353.745, 0.265, 1.025, 52.975, 353.635, and 11.25, respectively. Inflammatory indexes with an AUC of more than 0.6 were selected, and each colorectal cancer patient with any of these risk factors was assigned a score of one. The 324 patients were then divided into two groups: 0-4 for the low-risk group and 4-8 for the high-risk group. The occurrence of distant metastases in the two groups was statistically analyzed. The results showed that the OS and PFS of the low-risk group were significantly superior to those of the high-risk group (P < 0.05). These findings indicate that NLR, LWR, AISI, MLR, SIRI, PNI, ALI, and IL-10 are risk factors for distant metastasis in CRC patients. Therefore, the prediction scores of these indexes can be used to effectively evaluate the prognosis of patients with metastatic CRC.

Arginine on immune function and post-operative obstructions in colorectal cancer patients: a meta-analysis.

BACKGROUND: The aim of this study is to investigate the impact of arginine on immune function and postoperative complications in colorectal cancer (CRC) patients. METHODS: We conducted a comprehensive search to identify eligible RCTs in various databases, such as PubMed, Cochrane Library, EMBASE, Web of Science, MEDLINE, China National Knowledge Infrastructure (CNKI), Wanfang, VIP Medicine Information System (VIP), and Chinese Biomedical Database (CBM). This study aimed to examine IgA, IgG, and IgM levels as well as CD4+ and CD8+ counts as well as the CD4+/CD8+ ratio. Anastomotic leaking, length of stay (LOS), and surgical site infection (SSI) were included as secondary outcomes. Stata (StataCorp, version 14.0) was utilized for data analysis. To ensure the results were reliable, we used meta-regression, sensitivity analysis, and publication bias analysis. RESULTS: A total of 24 publications (including 1883 patients) out of 681 that were retrieved fulfilled the inclusion criteria. The arginine group showed notable improvements in humoral immunity, with gains in IgA (SMD=0.45, 95% CI: 0.30-0.60), IgG (SMD=0.80, 95% CI: 0.64-0.96), and IgM (SMD=0.66, 95% CI: 0.39-0.93). With regards to cellular immunity, the arginine group exhibited a substantial increase in the CD4+ T cell count (SMD = 1.03, 95% CI: 0.67-1.38) compared to the control group. However, the CD4+/CD8+ ratio decreased significantly (SMD=1.37, 95% CI: 0.88-1.86) in the same arginine group, indicating a change in the balance between these two cell types. Additionally, the CD8+ T cell count showed a notable decrease (SMD=-0.70, 95% CI: -1.09 to -0.32) in the arginine group when compared to the control group. Anastomotic leakage was also considerably lower in the arginine group (SMD=-0.05, 95% CI: -0.08 to -0.02), the rate of SSIs was lower (RR = -0.02, 95% CI: -0.05-0), and the length of time patients spent in the hospital was shorter (SMD=-0.15, 95% CI: -0.38 to -0.08). CONCLUSIONS: After radiation treatment for CRC, arginine improves immune function and decreases the risk of infection problems. TRIAL REGISTRATION: Registration with PROSPERO for this meta-analysis is number CRD42024520509.

A Systematic Review of Diagnostic Performance of Circulating MicroRNAs in Colorectal Cancer Detection with a Focus on Early-Onset Colorectal Cancer.

The rising incidence and mortality of early-onset colorectal cancer (EOCRC) emphasize the urgent need for effective non-invasive screening. Circulating microRNAs (miRNAs) have emerged as promising biomarkers for cancer detection. This systematic review aims to evaluate the diagnostic performance of circulating miRNAs in detecting colorectal cancer (CRC). A literature search was conducted in PubMed and Scopus. Studies that report sensitivity, specificity, or area under the curve (AUC) for CRC detection by miRNA were included. The miRNA miR-21 was the most frequently studied biomarker, with a varying range of AUC from 0.55 to 0.973 attributed to differences in study populations and methodologies. The miRNAs miR-210 and miR-1246 showed potential diagnostic capacity with miR-1246 achieving an AUC of 0.924, 100% sensitivity, and 80% specificity. The miRNA panels offer improved diagnostic performance compared to individual miRNA. The best performing panel for CRC patients below 50 is miR-211 + miR-25 + TGF-ß1 with AUC 0.99 and 100 specificity and 97 sensitivity. Circulating miRNAs hold significant promise as non-invasive biomarkers for CRC screening. However, the variability in diagnostic performance highlights the need for a standardized method and robust validation studies. Future research should focus on large-scale, ethnically diverse cohorts to establish clinically relevant miRNA biomarkers for CRC, particularly in younger populations.

Gamma-glutamyl transferase to aspartate aminotransferase ratio (GSR) predicts prognoses in patients with colorectal cancer with liver metastasis after microwave ablation.

BACKGROUND: Microwave ablation (MWA) is widely used to eliminate colorectal liver metastases (CRLM). However, the risk of tumor recurrence is difficult to predict due to lack of reliable clinical and biological markers. Elevation of gamma-glutamyl transferase (GGT) and aspartate transaminase (AST) provides signals for liver inflammation and cancer progression. The present study evaluated the association between pre-ablation GGT to AST ratio index (GSR) and hepatic recurrence in patients with CRLM after MWA. METHODS: A retrospectively analyzed 192 CRLM patients who underwent MWA from January 2013 to December 2017. Pre-ablation GSR was classified into high (≤ 2.34) or low (> 2.34) using the upper quartile value. The prognostic value of GSR and other risk factors for liver progression-free survival (LPFS) and cancer-specific survival (CSS) were evaluated by univariate and multivariate analyses. RESULTS: High GSR was significantly associated with males (P = 0.041), the presence of cholelithiasis (P = 0.012), but not pre-ablation chemotherapy (P = 0.355), which caused significantly increased levels of GGT (P = 0.015) and AST (P = 0.008). GSR showed a significant association with LPFS and CSS through univariate analysis (P = 0.002 and 0.006) and multivariate analysis (P = 0.043 and 0.037). The subgroup analysis demonstrated no interaction between GSR and all variables except for distribution in the sub-analysis of LPFS. CONCLUSIONS: Our findings suggest that the pre-ablation GSR can be considered as a promising prognostic indicator for poor prognosis of patients with CRLM underwent MWA. TRIAL REGISTRATION: Not applicable.

Detection of circulating tumor DNA by tumor-informed whole-genome sequencing enables prediction of recurrence in stage III colorectal cancer patients.

INTRODUCTION: Circulating tumor (ctDNA) can be used to detect residual disease after cancer treatment. Detecting low-level ctDNA is challenging, due to the limited number of recoverable ctDNA fragments at any target loci. In response, we applied tumor-informed whole-genome sequencing (WGS), leveraging thousands of mutations for ctDNA detection. METHODS: Performance was evaluated in serial plasma samples (n = 1283) from 144 stage III colorectal cancer patients. Tumor/normal WGS was used to establish a patient-specific mutational fingerprint, which was searched for in 20x WGS plasma profiles. For reproducibility, paired aliquots of 172 plasma samples were analyzed in two independent laboratories. De novo variant calling was performed for serial plasma samples with a ctDNA level > 10 % (n = 17) to explore genomic evolution. RESULTS: WGS-based ctDNA detection was prognostic of recurrence: post-operation (Hazard ratio [HR] 6.75, 95 %CI 3.18-14.3, p < 0.001), post-adjuvant chemotherapy (HR 28.9, 95 %CI 10.1-82.8; p < 0.001), and during surveillance (HR 22.8, 95 %CI 13.7-37.9, p < 0.0001). The 3-year cumulative incidence of ctDNA detection in recurrence patients was 95 %. ctDNA was detected a median of 8.7 months before radiological recurrence. The independently analyzed plasma aliquots showed excellent agreement (Cohens Kappa=0.9, r = 0.99). Genomic characterization of serial plasma revealed significant evolution in mutations and copy number alterations, and the timing of mutational processes, such as 5-fluorouracil-induced mutations. CONCLUSION: Our study supports the use of WGS for sensitive ctDNA detection and demonstrates that post-treatment ctDNA detection is highly prognostic of recurrence. Furthermore, plasma WGS can identify genomic differences distinguishing the primary tumor and relapsing metastasis, and monitor treatment-induced genomic changes.

A novel approach for in vivo DNA footprinting using short double-stranded cell-free DNA from plasma.

Here, we present a method for enrichment of double-stranded cfDNA with an average length of ∼40 bp from cfDNA for high-throughput DNA sequencing. This class of cfDNA is enriched at gene promoters and binding sites of transcription factors or structural DNA-binding proteins, so that a genome-wide DNA footprint is directly captured from liquid biopsies. In short double-stranded cfDNA from healthy individuals, we find significant enrichment of 203 transcription factor motifs. Additionally, short double-stranded cfDNA signals at specific genomic regions correlate negatively with DNA methylation, positively with H3K4me3 histone modifications and gene transcription. The diagnostic potential of short double-stranded cell-free DNA (cfDNA) in blood plasma has not yet been recognized. When comparing short double-stranded cfDNA from patient samples of pancreatic ductal adenocarcinoma with colorectal carcinoma or septic with postoperative controls, we identify 136 and 241 differentially enriched loci, respectively. Using these differentially enriched loci, the disease types can be clearly distinguished by principal component analysis, demonstrating the diagnostic potential of short double-stranded cfDNA signals as a new class of biomarkers for liquid biopsies.

The Value of Systemic Inflammatory Indices for Predicting Early Postoperative Complications in Colorectal Cancer.

Background and Objectives: Systemic inflammatory indices have been largely investigated for their potential predictive value in multiple inflammatory, infectious, and oncological diseases; however, their value in colorectal cancer is still a subject of research. This study investigates the dynamics of pre- and postoperative values of NLR, PLR, SII, and MLR in patients with colorectal cancer and their predictive value for early postoperative outcomes. Materials and Methods: A 2-year retrospective cohort study was performed on 200 patients operated for colorectal adenocarcinoma. Systemic inflammatory indices were calculated based on complete blood count preoperatively and on the first and sixth postoperative days. The patients were divided into two groups based on their emergency or elective presentation. The pre- and postoperative values of serum inflammatory biomarkers and their correlations with postoperative outcomes were separately analyzed for the two study subgroups. Results: There were no significant differences in sex distribution, addressability, associated comorbidities, or types of surgery between the two groups. Patients in the emergency group presented higher preoperative and postoperative values of WBC, neutrophils, NLR, and SII compared to elective patients. The postsurgery hospital stays correlated well with pre- and postoperative day one and day six values of NLR (p = 0.001; 0.02; and <0.001), PLR (p < 0.001), SII (p = 0.037; <0.001; <0.001), and MLR (p = 0.002; p = 0.002; <0.001). In a multivariate analysis, reintervention risk was higher for emergency presentation and anemia, and lower in right colon cancer. In the emergency group, a multivariate model including age, MLR PO1, and pTNM stage was predictive for severe postoperative complications (AUC ROC 0.818). First-day postoperative inflammatory indices correlated well with sepsis, with the best predictive value being observed for the first postoperative day NLR (AUC 0.836; sensibility 88.8%; specificity 66.7%) and SII (AUC 0.796; sensitivity 66.6%; specificity 90%). For elective patients, the first postoperative day PLR and anemia were included in a multivariate model to predict Clavien-Dindo complications graded 3 or more (AUC ROC 0.818) and reintervention (AUC ROC 0.796). Conclusions: Easy-to-calculate and inexpensive systemic inflammatory biomarkers could be useful in predicting early postoperative outcomes in colorectal cancer for both elective and emergency surgery.

Proteome of plasma extracellular vesicles as a source of colorectal cancer biomarkers.

The search for minimally invasive methods for diagnostics of colorectal cancer (CRC) is the most important task for early diagnostics of the disease and subsequent successful treatment. Human plasma represents the main type of biological material used in the clinical practice; however, the complex dynamic range of substances circulating in it complicates determination of CRC protein markers by the mass spectrometric (MS) method. Studying the proteome of extracellular vesicles (EVs) isolated from human plasma represents an attractive approach for the discovery of tissue-secreted CRC markers. We performed shotgun mass spectrometry analysis of EV samples obtained from plasma of CRC patients and healthy volunteers. This MS analysis resulted in identification of 370 proteins (which were registered by at least two peptides). Stable isotope-free relative quantitation identified 55 proteins with altered abundance in EV samples obtained from plasma samples of CRC patients as compared to healthy controls. Among the EV proteins isolated from blood plasma we found components involved in cell adhesion and the VEGFA-VEGFR2 signaling pathway (TLN1, HSPA8, VCL, MYH9, and others), as well as proteins expressed predominantly by gastrointestinal tissues (polymeric immunoglobulin receptor, PIGR). The data obtained using the shotgun proteomic profiling may be added to the panel for targeted MS analysis of EV-associated protein markers, previously developed using CRC cell models.