Quantification method of ctDNA using cell-free DNA methylation profile for noninvasive screening and monitoring of colon cancer.

BACKGROUND: Colon cancer ranks as the second most lethal form of cancer globally. In recent years, there has been active investigation into using the methylation profile of circulating tumor DNA (ctDNA), derived from blood, as a promising indicator for diagnosing and monitoring colon cancer. RESULTS: We propose a liquid biopsy-based epigenetic method developed by utilizing 49 patients and 260 healthy controls methylation profile data to screen and monitor colon cancer. Our method initially identified 901 colon cancer-specific hypermethylated (CaSH) regions in the tissues of the 49 cancer patients. We then used these CaSH regions to accurately quantify the amount of circulating tumor DNA (ctDNA) in the blood samples of these same patients, utilizing cell-free DNA methylation profiles. Notably, the methylation profiles of ctDNA in the blood exhibited high sensitivity (82%) and specificity (93%) in distinguishing patients with colon cancer from the control group, with an area under the curve of 0.903. Furthermore, we confirm that our method for ctDNA quantification is effective for monitoring cancer patients and can serve as a valuable tool for postoperative prognosis. CONCLUSIONS: This study demonstrated a successful application of the quantification of ctDNA among cfDNA using the original cancer tissue-derived CaSH region for screening and monitoring colon cancer.

A comparative study on the short-term clinical outcomes of Da Vinci SP versus Da Vinci Xi for rectal cancer surgery.

PURPOSE: The Da Vinci SP robot system was recently introduced, but its safety and feasibility for rectal cancer compared with the currently used robot system have not been reported. METHODS: This was a single-centre retrospective study. Data from patients who underwent abdominal total mesorectal excision (TME) from October 2015 to October 2022 were analysed. After propensity score matching, the short-term outcomes were compared. RESULTS: A total of 56 patient data were analysed. Intersphincteric resection was more common in the SP group (7 cases (25%) vs. 0 case (0%), p = 0.001). The operation time was significantly shorter in SP (184 vs. 227.5 min, p < 0.0001), but the docking time was similar. The postoperative complications were similar. There were no differences in the postoperative pain score and length of hospital stay. CONCLUSION: The SP robotic system for abdominal TME has acceptable short-term and is safe and technically feasible.

Characteristics of Patients With Traumatic Brain Injury in a Regional Trauma Center: A Single-Center Study.

Objective: The regional trauma center (RTC) in our hospital was established in November 2015. The Korean Trauma Data Bank (KTDB) was established in 2013 and maintains a prospective database. In this study, based on KTDB data, we investigated the characteristics of traumatic brain injury (TBI) in patients who visited our RTC. Methods: Between 2017 and 2021, we analyzed the data of 1,939 patients with TBI. Demographic characteristics of patients were recorded, and variables such as transfer information, mechanism of injury, severity, occupational relevance, multiple trauma, and surgery were analyzed. Hospital length of stay (LOS), fatality, and Glasgow outcome scale (GOS) were analyzed to confirm treatment outcomes. Results: This study enrolled 1,939 patients with a median age of 58 years and male predominance (75.5%). The transfer time decreased (from 1.95 hours to 1.1 hours) following an increase in the frequency of direct transfers to our hospital each year. Motor vehicle-related accidents (48.4%) were implicated as the most common cause, and the severity of TBI showed an increasing trend each year. The outcomes confirmed that the fatality rate and GOS scores deteriorated. The mean LOS in the hospital was 26.92 days, with a fatality rate of 23.6% (458 patients). Conclusion: In this study, we investigated characteristics and treatment outcomes associated with TBI. Our research confirms that patients with TBI are currently well triaged at the accident site and rapidly transferred to our RTC. Follow-up studies are necessary to establish strategies for improved treatment outcomes.

Humoral Immune Response of Heterologous ChAdOx1 nCoV-19 and mRNA-1273 Prime-Boost Vaccination against SARS-CoV-2 Variants in Korea.

The immunogenicity of a heterologous vaccination regimen consisting of ChAdOx1 nCoV-19 (a chimpanzee adenovirus-vectored vaccine) followed by mRNA-1273 (a lipid-nanoparticle-encapsulated mRNA-based vaccine) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), specifically the omicron variant (B.1.1.529), is poorly studied. The aim of this study was to evaluate the neutralizing antibody activity and immunogenicity of heterologous ChAdOx1 nCoV-19 and mRNA-1273 prime-boost vaccination against wild-type (BetaCoV/Korea/KCDC03/2020), alpha, beta, gamma, delta, and omicron variants of SARS-CoV-2 in Korea. A 50% neutralizing dilution (ND50) titer was determined in serum samples using the plaque reduction neutralization test. Antibody titer decreased significantly at 3 months compared with that at 2 weeks after the 2nd dose. On comparing the ND50 titers for the above-mentioned variants of concerns, it was observed that the ND50 titer for the omicron variant was the lowest. This study provides insights into cross-vaccination effects and can be useful for further vaccination strategies in Korea.

Estimation of an Image Biomarker for Distant Recurrence Prediction in NSCLC Using Proliferation-Related Genes.

This study aimed to identify a distant-recurrence image biomarker in NSCLC by investigating correlations between heterogeneity functional gene expression and fluorine-18-2-fluoro-2-deoxy-D-glucose positron emission tomography (18F-FDG PET) image features of NSCLC patients. RNA-sequencing data and 18F-FDG PET images of 53 patients with NSCLC (19 with distant recurrence and 34 without recurrence) from The Cancer Imaging Archive and The Cancer Genome Atlas Program databases were used in a combined analysis. Weighted correlation network analysis was performed to identify gene groups related to distant recurrence. Genes were selected for functions related to distant recurrence. In total, 47 image features were extracted from PET images as radiomics. The relationship between gene expression and image features was estimated using a hypergeometric distribution test with the Pearson correlation method. The distant recurrence prediction model was validated by a random forest (RF) algorithm using image texture features and related gene expression. In total, 37 gene modules were identified by gene-expression pattern with weighted gene co-expression network analysis. The gene modules with the highest significance were selected (p-value < 0.05). Nine genes with high protein-protein interaction and area under the curve (AUC) were identified as hub genes involved in the proliferation function, which plays an important role in distant recurrence of cancer. Four image features (GLRLM_SRHGE, GLRLM_HGRE, SUVmean, and GLZLM_GLNU) and six genes were identified to be correlated (p-value < 0.1). AUCs (accuracy: 0.59, AUC: 0.729) from the 47 image texture features and AUCs (accuracy: 0.767, AUC: 0.808) from hub genes were calculated using the RF algorithm. AUCs (accuracy: 0.783, AUC: 0.912) from the four image texture features and six correlated genes and AUCs (accuracy: 0.738, AUC: 0.779) from only the four image texture features were calculated using the RF algorithm. The four image texture features validated by heterogeneity group gene expression were found to be related to cancer heterogeneity. The identification of these image texture features demonstrated that advanced prediction of NSCLC distant recurrence is possible using the image biomarker.

Automatic Separation and Collection of Cancer-Related Substances from Clinical Samples.

Recently, liquid biopsies have been used to diagnose various diseases, including cancer. Body fluids contain many substances, including cells, proteins, and nucleic acids originating from normal tissues, but some of these substances also originate from the diseased area. The investigation and analysis of these substances in the body fluids play a pivotal role in the diagnosis of various diseases. Therefore, it is important to accurately separate the required substances, and several techniques are developed to be used for this purpose. We have developed a lab-on-a-disc type of device and platform named CD-PRIME. This device is automated and has good results for sample contamination and sample stability. Moreover, it has advantages of a good acquisition yield, a short operation time, and high reproducibility. In addition, depending on the type of disc to be mounted, plasma containing cell-free DNA, circulating tumor cells, peripheral blood mononuclear cells, or buffy coats can be separated. Thus, the acquisition of a variety of materials present in the body fluids can be done for a variety of downstream applications, including the study of omics.

A method for early diagnosis of lung cancer from tumor originated DNA fragments using plasma cfDNA methylome and fragmentome profiles.

Early detection is critical for minimizing mortality from cancer. Plasma cell-free DNA (cfDNA) contains the signatures of tumor DNA, allowing us to quantify the signature and diagnose early-stage tumors. Here, we report a novel tumor fragment quantification method, TOF (Tumor Originated Fragment) for the diagnosis of lung cancer by quantifying and analyzing both the plasma cfDNA methylation patterns and fragmentomic signatures. TOF utilizes the amount of ctDNA predicted from the methylation density information of each cfDNA read mapped on 6243 lung-tumor-specific CpG markers. The 6243 tumor-specific markers were derived from lung tumor tissues by comparing them with corresponding normal tissues and healthy blood from public methylation data. TOF also utilizes two cfDNA fragmentomic signatures: 1) the short fragment ratio, and 2) the 5' end-motif profile. We used 298 plasma samples to analyze cfDNA signatures using enzymatic methyl-sequencing data from 201 lung cancer patients and 97 healthy controls. The TOF score showed 0.98 of the area under the curve in correctly classifying lung cancer from normal samples. The TOF score resolution was high enough to clearly differentiate even the early-stage non-small cell lung cancer patients from the healthy controls. The same was true for small cell lung cancer patients.

Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center 18F-FDG PET Images.

We compared the accuracy of prediction of the response to neoadjuvant chemotherapy (NAC) in osteosarcoma patients between machine learning approaches of whole tumor utilizing fluorine-18fluorodeoxyglucose (18F-FDG) uptake heterogeneity features and a convolutional neural network of the intratumor image region. In 105 patients with osteosarcoma, 18F-FDG positron emission tomography/computed tomography (PET/CT) images were acquired before (baseline PET0) and after NAC (PET1). Patients were divided into responders and non-responders about neoadjuvant chemotherapy. Quantitative 18F-FDG heterogeneity features were calculated using LIFEX version 4.0. Receiver operating characteristic (ROC) curve analysis of 18F-FDG uptake heterogeneity features was used to predict the response to NAC. Machine learning algorithms and 2-dimensional convolutional neural network (2D CNN) deep learning networks were estimated for predicting NAC response with the baseline PET0 images of the 105 patients. ML was performed using the entire tumor image. The accuracy of the 2D CNN prediction model was evaluated using total tumor slices, the center 20 slices, the center 10 slices, and center slice. A total number of 80 patients was used for k-fold validation by five groups with 16 patients. The CNN network test accuracy estimation was performed using 25 patients. The areas under the ROC curves (AUCs) for baseline PET maximum standardized uptake value (SUVmax), total lesion glycolysis (TLG), metabolic tumor volume (MTV), and gray level size zone matrix (GLSZM) were 0.532, 0.507, 0.510, and 0.626, respectively. The texture features test accuracy of machine learning by random forest and support vector machine were 0.55 and 0. 54, respectively. The k-fold validation accuracy and validation accuracy were 0.968 ± 0.01 and 0.610 ± 0.04, respectively. The test accuracy of total tumor slices, the center 20 slices, center 10 slices, and center slices were 0.625, 0.616, 0.628, and 0.760, respectively. The prediction model for NAC response with baseline PET0 texture features machine learning estimated a poor outcome, but the 2D CNN network using 18F-FDG baseline PET0 images could predict the treatment response before prior chemotherapy in osteosarcoma. Additionally, using the 2D CNN prediction model using a tumor center slice of 18F-FDG PET images before NAC can help decide whether to perform NAC to treat osteosarcoma patients.

Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation.

Motion estimation and compensation are necessary for improvement of tumor quantification analysis in positron emission tomography (PET) images. The aim of this study was to propose adaptive PET imaging with internal motion estimation and correction using regional artificial evaluation of tumors injected with low-dose and high-dose radiopharmaceuticals. In order to assess internal motion, molecular sieves imitating tumors were loaded with 18F and inserted into the lung and liver regions in rats. All models were classified into two groups, based on the injected radiopharmaceutical activity, to compare the effect of tumor intensity. The PET study was performed with injection of F-18 fluorodeoxyglucose (18F-FDG). Respiratory gating was carried out by external trigger device. Count, signal to noise ratio (SNR), contrast and full width at half maximum (FWHM) were measured in artificial tumors in gated images. Motion correction was executed by affine transformation with estimated internal motion data. Monitoring data were different from estimated motion. Contrast in the low-activity group was 3.57, 4.08 and 6.19, while in the high-activity group it was 10.01, 8.36 and 6.97 for static, 4 bin and 8 bin images, respectively. The results of the lung target in 4 bin and the liver target in 8 bin showed improvement in FWHM and contrast with sufficient SNR. After motion correction, FWHM was improved in both regions (lung: 24.56%, liver: 10.77%). Moreover, with the low dose of radiopharmaceuticals the PET image visualized specific accumulated radiopharmaceutical areas in the liver. Therefore, low activity in PET images should undergo motion correction before quantification analysis using PET data. We could improve quantitative tumor evaluation by considering organ region and tumor intensity.

Preliminary Radiogenomic Evidence for the Prediction of Metastasis and Chemotherapy Response in Pediatric Patients with Osteosarcoma Using 18F-FDF PET/CT, EZRIN and KI67.

Chemotherapy response and metastasis prediction play important roles in the treatment of pediatric osteosarcoma, which is prone to metastasis and has a high mortality rate. This study aimed to estimate the prediction model using gene expression and image texture features. 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) images of 52 pediatric osteosarcoma patients were used to estimate the machine learning algorithm. An appropriate algorithm was selected by estimating the machine learning accuracy. 18F-FDG PET/CT images of 21 patients were selected for prediction model development based on simultaneous KI67 and EZRIN expression. The prediction model for chemotherapy response and metastasis was estimated using area under the curve (AUC) maximum image texture features (AUC_max) and gene expression. The machine learning algorithm with the highest test accuracy in chemotherapy response and metastasis was selected using the random forest algorithm. The chemotherapy response and metastasis test accuracy with image texture features was 0.83 and 0.76, respectively. The highest test accuracy and AUC of chemotherapy response with AUC_max, KI67, and EZRIN were estimated to be 0.85 and 0.89, respectively. The highest test accuracy and AUC of metastasis with AUC_max, KI67, and EZRIN were estimated to be 0.85 and 0.8, respectively. The metastasis prediction accuracy increased by 10% using radiogenomics data.

Polygenic risk score validation using Korean genomes of 265 early-onset acute myocardial infarction patients and 636 healthy controls.

BACKGROUND: The polygenic risk score (PRS) developed for coronary artery disease (CAD) is known to be effective for classifying patients with CAD and predicting subsequent events. However, the PRS was developed mainly based on the analysis of Caucasian genomes and has not been validated for East Asians. We aimed to evaluate the PRS in the genomes of Korean early-onset AMI patients (n = 265, age ≤50 years) following PCI and controls (n = 636) to examine whether the PRS improves risk prediction beyond conventional risk factors. RESULTS: The odds ratio of the PRS was 1.83 (95% confidence interval [CI]: 1.69-1.99) for early-onset AMI patients compared with the controls. For the classification of patients, the area under the curve (AUC) for the combined model with the six conventional risk factors (diabetes mellitus, family history of CAD, hypertension, body mass index, hypercholesterolemia, and current smoking) and PRS was 0.92 (95% CI: 0.90-0.94) while that for the six conventional risk factors was 0.91 (95% CI: 0.85-0.93). Although the AUC for PRS alone was 0.65 (95% CI: 0.61-0.69), adding the PRS to the six conventional risk factors significantly improved the accuracy of the prediction model (P = 0.015). Patients with the upper 50% of PRS showed a higher frequency of repeat revascularization (hazard ratio = 2.19, 95% CI: 1.47-3.26) than the others. CONCLUSIONS: The PRS using 265 early-onset AMI genomes showed improvement in the identification of patients in the Korean population and showed potential for genomic screening in early life to complement conventional risk prediction.

Endoscopic Characteristics of Rugal Hyperplasia and Related Acid Condition in Helicobacter pylori-Infected Stomach.

BACKGROUND/AIMS: Rugal hyperplastic gastritis (RHG) is associated with Lauren's diffuse-type gastric cancer (GC) and the accompanying active inflammation is linked to gastric hypoacidity. We tried to establish the steps for identifying high-risk GC patients. METHODS: We included 196 patients with confirmed Helicobacter pylori infection by rapid urease test during screening endoscopy for health check-up from January 2016 to September 2016; all patients underwent blood tests for pepsinogen I and II and fasting serum gastrin. We compared RHG findings with various other endoscopic mucosal images. We also evaluated the relationships between RHG and other mucosal aspects for a given acid status based on serological markers. RESULTS: Hypoacid and ultra-low-acid (67%) statuses were dominant, with only 18% hyperacid patients. RHG with high acid was related to a less atrophic body type (p=0.001), and RHG with ultra-low acid was associated with body xanthoma (p=0.029) and increased serum gastrin level (p=0.038). However, RHG's influence on gastric acidity was only seen in closed-type endoscopic atrophic border (EAB), not in open type (p=0.001). CONCLUSION: The majority of RHG patients had hypoacid status. RHG frequency showed no difference between closed and opentype EAB, but gastric acidity was influenced by RHG only in closed-type EAB.

Korean Genome Project: 1094 Korean personal genomes with clinical information.

We present the initial phase of the Korean Genome Project (Korea1K), including 1094 whole genomes (sequenced at an average depth of 31×), along with data of 79 quantitative clinical traits. We identified 39 million single-nucleotide variants and indels of which half were singleton or doubleton and detected Korean-specific patterns based on several types of genomic variations. A genome-wide association study illustrated the power of whole-genome sequences for analyzing clinical traits, identifying nine more significant candidate alleles than previously reported from the same linkage disequilibrium blocks. Also, Korea1K, as a reference, showed better imputation accuracy for Koreans than the 1KGP panel. As proof of utility, germline variants in cancer samples could be filtered out more effectively when the Korea1K variome was used as a panel of normals compared to non-Korean variome sets. Overall, this study shows that Korea1K can be a useful genotypic and phenotypic resource for clinical and ethnogenetic studies.

Efficient mutation screening for cervical cancers from circulating tumor DNA in blood.

BACKGROUND: Early diagnosis and continuous monitoring are necessary for an efficient management of cervical cancers (CC). Liquid biopsy, such as detecting circulating tumor DNA (ctDNA) from blood, is a simple, non-invasive method for testing and monitoring cancer markers. However, tumor-specific alterations in ctDNA have not been extensively investigated or compared to other circulating biomarkers in the diagnosis and monitoring of the CC. Therfore, Next-generation sequencing (NGS) analysis with blood samples can be a new approach for highly accurate diagnosis and monitoring of the CC. METHOD: Using a bioinformatics approach, we designed a panel of 24 genes associated with CC to detect and characterize patterns of somatic single-nucleotide variations, indels, and copy number variations. Our NGS CC panel covers most of the genes in The Cancer Genome Atlas (TCGA) as well as additional cancer driver and tumor suppressor genes. We profiled the variants in ctDNA from 24 CC patients who were being treated with systemic chemotherapy and local radiotherapy at the Jeonbuk National University Hospital, Korea. RESULT: Eighteen out of 24 genes in our NGS CC panel had mutations across the 24 CC patients, including somatic alterations of mutated genes (ZFHX3-83%, KMT2C-79%, KMT2D-79%, NSD1-67%, ATM-38% and RNF213-27%). We demonstrated that the RNF213 mutation could be used potentially used as a monitoring marker for response to chemo- and radiotherapy. CONCLUSION: We developed our NGS CC panel and demostrated that our NGS panel can be useful for the diagnosis and monitoring of the CC, since the panel detected the common somatic variations in CC patients and we observed how these genetic variations change according to the treatment pattern of the patient.

Detection of association between periodontitis and polymorphisms of IL-1ß + 3954 and TNF-α -863 in the Korean population after controlling for confounding risk factors.

BACKGROUND AND OBJECTIVE: Interleukin (IL)-1 and tumor necrosis factor (TNF)-α are inflammatory cytokines that play an important role in periodontitis, and their genetic variations have been suggested to be associated with increased risk of periodontitis. Focusing on three single nucleotide polymorphisms (SNPs) of IL-1α + 4845, IL-1ß + 3954, and TNF-α -863, we aimed to investigate the relationship between periodontitis risk and the polymorphisms of IL-1 α/ß and TNF-α in Koreans. MATERIAL AND METHODS: Mouthwash samples from 548 subjects (135 controls without periodontitis, 387 generalized chronic periodontitis patients, and 26 generalized aggressive periodontitis patients) were collected for isolation of genomic DNA. Genotyping of selected SNPs was performed using real-time PCR. Univariable associations between the polymorphisms and periodontitis were assessed by chi-squared test or Fisher's exact test. To evaluate the association after controlling for confounding effects of various risk factors, we stratified the subjects according to the presence or absence of self-reported diseases and employed multiple logistic regression model to adjust for age, smoking status, and oral hygiene indices and behaviors. RESULTS: Significant association of IL-1ß + 3954 and TNF-α -863 polymorphisms with periodontitis was observed after adjusting for the confounding risk factors, but not in univariable association analysis. The significant association between genotype CT of IL-1ß + 3954 and increased risk of advanced periodontitis was consistently detected regardless of the status of self-reported diseases. In the polymorphism of TNF-α -863, the genotype with minor allele (CA + AA) was significantly associated with periodontitis susceptibility, which was observed only in the subjects with self-reported diseases. CONCLUSION: The results suggest that genetic variations of IL-1ß + 3954 and TNF-α -863 are associated with increased risk of periodontitis in Koreans. In addition, our findings underscore the importance of controlling for confounding risk factors to detect significant association between genetic factors and risk of periodontitis. A further well-designed large-scale study is needed to warrant our results.

Circulating Tumor Cell Number Is Associated with Primary Tumor Volume in Patients with Lung Adenocarcinoma.

BACKGROUND: Circulating tumor cells (CTCs) are frequently detected in patients with advanced-stage malignant tumors and could act as a predictor of poor prognosis. However, there is a paucity of data on the relationship between CTC number and primary tumor volume in patients with lung cancer. Therefore, our study aimed to evaluate the relationship between CTC number and primary tumor volume in patients with lung adenocarcinoma. METHODS: We collected blood samples from 21 patients with treatment-naive lung adenocarcinoma and 73 healthy individuals. To count CTCs, we used a CTC enrichment method based on fluid-assisted separation technology. We compared CTC numbers between lung adenocarcinoma patients and healthy individuals using propensity score matching, and performed linear regression analysis to analyze the relationship between CTC number and primary tumor volume in lung adenocarcinoma patients. RESULTS: CTC positivity was significantly more common in lung adenocarcinoma patients than in healthy individuals (p<0.001). The median primary tumor volume in CTC-negative and CTC-positive patients was 10.0 cm³ and 64.8 cm³, respectively. Multiple linear regression analysis showed that the number of CTCs correlated with primary tumor volume in lung adenocarcinoma patients (ß=0.903, p=0.002). Further subgroup analysis showed a correlation between CTC number and primary tumor volume in patients with distant (p=0.024) and extra-thoracic (p=0.033) metastasis (not in patients with distant metastasis). CONCLUSION: Our study showed that CTC numbers may be associated with primary tumor volume in lung adenocarcinomas patients, especially in those with distant metastasis.

Synthesis of 64Cu-Radiolabeled Folate-Conjugated Iron Oxide Nanoparticles for Cancer Diagnosis.

We report the synthesis of 64Cu-labeled folate-conjugated magnetic nanoparticles for positron emission tomography (PET)/magnetic resonance imaging (MRI)-based diagnosis of cancer. The citrate/hydrazine-stabilized Fe3O4 nanoparticles measuring ~50 nm were utilized for target synthesis. Radio-thin-layer chromatography (TLC) analysis shows the formation of 64Cu-labeled nanomaterial with a radiochemical purity of 82.17% and a stability of ~90% in buffer solution and human serum for 24 h. Moreover, the sample exhibited good cellular uptake in breast (SKBR3), oral (KB) and lung (A549) cancer cell lines.

Is ascites CEA a risk factor for peritoneal carcinomatosis in colorectal cancer?: a long-term follow-up study.

PURPOSE: Our previous study reported that carcinoembryonic antigen (CEA) levels in peritoneal fluid were significantly correlated with the prevalence of peritoneal carcinomatosis (PC) in colorectal cancer (CRC). The purpose of this study was a long-term follow up of the author's previous study, as well as the identification of correlations with the known risk factors of PC and the comparison of the predictive power of PC in CRC. METHODS: A total of 495 patients without PC who underwent CRC operations at St. Mary's Hospital, The Catholic University of Korea, from January 2006 to November 2014 were included in this study. Tumor markers of peritoneal fluid sampled at the beginning of each operation were prospectively analyzed and compared with the known risk factors for PC in CRC. RESULTS: Multivariate analysis of PC revealed that T4 cancer (OR 5.143, 95% CI 1.400-18.897, p = 0.014), T3 mucinous cancer (OR 17.480, 95% CI 1.577-193.714, p = 0.020), obstructed tumors (OR 6.030, 95% CI 1.627-22.343, p = 0.007), and peritoneal fluid CEA above 5 ng/dl (OR 4.073, 95% CI 1.315-12.615, p = 0.015) were significant risk factors. T4 cancer, obstructed tumors, and peritoneal fluid CEA above 5 ng/dl showed correlations with cancer-free survival. Generally, higher CEA levels in peritoneal fluid were correlated with previously known risk factors for PC in CRC. CONCLUSION: Peritoneal fluid CEA has predictive value for PC and prognostic value in CRC. Therefore, we recommend routinely performing ascites CEA analysis in colorectal cancer surgery.

Combinatory Analysis of Cell-free and Circulating Tumor Cell DNAs Provides More Variants for Cancer Treatment.

BACKGROUND/AIM: Non-invasive biomarker detection using DNA from cell-free circulating DNA (cfDNA) and circulating tumor cells (ctcDNA) are emerging as they can be used for early diagnosis, prognosis and therapeutic target selection for cancer. However, cfDNA and ctcDNA from the same patient have not yet been compared extensively on how different the genetic characteristics of the two are in terms of the overlap between them. MATERIALS AND METHODS: The performance of a customized NGS panel was used to compare the variants found in the 20 pairs of cfDNA and ctcDNA from gynecological cancer patients. RESULTS: A genetic variant analysis revealed that there were only nine common overlapping variants out of 63 between the cfDNA and ctcDNA pairs, while 31 and 22 were unique to cfDNA and ctcDNA, respectively. CONCLUSION: A combinatory analysis of both cfDNA and CTCs from cancer patients can improve the sensitivity of liquid biopsies. These results are expected to provide better genetic target information for guiding clinical strategies for cancer.

Brca2 abrogation engages with the alternative lengthening of telomeres via break-induced replication.

A subset of cancer cells maintains their telomeres without telomerase through the recombination-based alternative lengthening of telomeres (ALT) pathway. Currently, it is not yet clear in what context ALT is induced and how the pathway choice is made. Here, we show that abrogation of Brca2 reinforces break-induced replication (BIR) and engages with ALT pathway. Brca2 depletion in telomerase-null mouse cells alleviated the growth defect, accompanied by telomere elongation, suggesting the induction of ALT. We also found that Brca2-depleted telomerase-null cells exhibited dynamic clustering of telomeres from G2 phase in Promyelocytic Nuclear (PML) bodies. For Brca2-deficient ALT induction, Rad51 was dispensable but Mre11 and Rad52 were required. Congruently, conservative telomeric DNA synthesis was apparent in mitosis, indicating that the absence of Brca2 directed towards Rad52-mediated BIR. Collectively, we propose that Brca2 abrogation can instigate ALT tumourigenesis through the induction of BIR. This study implies that inhibitors of BIR may be useful for BRCA2-associated ALT-type cancers. Assessing ALT features may be considered for the tailored therapy of BRCA2-associated cancers.