CA125 Antigen Research Articles

B-309 Evaluation of the Analytical Performance of Breast and Ovarian Cancer Antigen Assays on the Atellica CI Analyzer

Abstract Background The Atellica® CI Analyzer is an automated, high-throughput integrated chemistry and immunoassay analyzer utilizing both Atellica® CH and Atellica® IM Assays. This study evaluated the analytical performance of the Atellica IM breast cancer antigen CA 15-3™ (CA 15-3) and the ovarian cancer antigen CA 125II™ (CA 125II) Assays on the Atellica CI Analyzer. Methods Precision studies were performed according to CLSI EP05-A3 using native and contrived human serum samples as well as contrived horse serum samples for CA 15-3. One aliquot of each sample pool was tested in duplicate in two runs per day ≥2 hours apart on each analyzer for ≥20 days. Precision studies were evaluated with one reagent lot on two systems. Method comparison studies were performed using three reagent lots according to CLSI EP09c. Individual native and contrived human serum samples were analyzed using the Atellica IM CA 15-3 and CA 125II Assays on the Atellica IM Analyzer and the Atellica CI Analyzer. LoB, LoD, and LoQ were determined as described in CLSI EP17-A2. Results Representative precision and method comparison results for each assay are listed in the table. For the two assays tested, repeatability and within-lab %CVs were <2.4% and <6.9%, respectively. Slopes determined by the weighted Deming linear regression model were approximately 1. Detection capability for the Atellica IM CA 15-3 Assay on the Atellica CI Analyzer was estimated to be 1.0 U/mL, 2.0 U/mL and 3.0 U/mL for LoB, LoD, and LoQ, respectively. When using the Atellica IM CA 125II Assay, detection capability was estimated to be 2.0 U/mL, 3.0 U/mL and 3.0 U/mL for LoB, LoD, and LoQ, respectively. Conclusions Evaluation of the Atellica IM CA 15-3 and CA 125II Assays using the Atellica CI Analyzer demonstrated good precision and equivalent performance compared to the same assays on the Atellica IM Analyzer.

Detection of Tumor-Associated Autoantibodies in the Sera of Pancreatic Cancer Patients Using Engineered MUC1 Glycopeptide Nanoparticle Probes.

Pancreatic cancer is one of the deadliest cancers worldwide, mainly due to late diagnosis. Therefore, there is an urgent need for novel diagnostic approaches to identify the disease as early as possible. We have developed a diagnostic assay for pancreatic cancer based on the detection of naturally occurring tumor associated autoantibodies against Mucin-1 (MUC1) using engineered glycopeptides on nanoparticle probes. We used a structure-guided approach to develop unnatural glycopeptides as model antigens for tumor-associated MUC1. We designed a collection of 13 glycopeptides to bind either SM3 or 5E5, two monoclonal antibodies with distinct epitopes known to recognize tumor associated MUC1. Glycopeptide binding to SM3 or 5E5 was confirmed by surface plasmon resonance and rationalized by molecular dynamics simulations. These model antigens were conjugated to gold nanoparticles and used in a dot-blot assay to detect autoantibodies in serum samples from pancreatic cancer patients and healthy volunteers. Nanoparticle probes with glycopeptides displaying the SM3 epitope did not have diagnostic potential. Instead, nanoparticle probes displaying glycopeptides with high affinity for 5E5 could discriminate between cancer patients and healthy controls. Remarkably, the best-discriminating probes show significantly better true and false positive rates than the current clinical biomarkers CA19-9 and carcinoembryonic antigen (CEA).

Specific antitumor activity of anti-CA125 CAR-T lymphocytes against CA125-positive and CA125-negative cells

Aim. To evaluate the antitumor efficacy of our developed drug based on cytotoxic T lymphocytes genetically modified with a chimeric antigen receptor (CAR) specific to the CA125 antigen in relation to both CA125-positive and CA125negative cell cultures.Materials and methods. We performed an in vitro study on CA125-positive human ovarian cancer cells (OVCAR-3, OVKATE) and CA125 negative cells (breast cancer MCF 7, embryonic kidney HEK293). Cytotoxic effects on tumor cells were evaluated after 0, 4, 8 and 24 hours using the 3’-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) and Lactate Dehydrogenase (LDH) tests. We also studied the changes in the number of cells “in real time” when exposed to transfected lymphocytes using the RTCA iCELLIgence device (ACEA Biosciences, USA). Lymphokineactivated killer (LAK) cells were used as a specificity control.Results. The study demonstrated that anti-CA125 CAR-T lymphocytes exhibited a pronounced cytotoxic effect on OVCAR-3 and OVKATE cell cultures, exceeding the effect of LAK by 1.3 times. The cell population in the experimental samples decreased by 70 ± 4%, which exceeded the LAK effect by 9 ± 8.2%. With regard to the MCF-7 cell line, the cytotoxic effect of anti-CA125 CAR-T lymphocytes was minimal as evidenced by a 25.8% decrease in the relative number of live cells in comparison to the LAK cytotoxicity of 68%. Real-time monitoring of cell proliferation and viability proved a high specific cytotoxic effect of anti-CA125 CAR-T lymphocytes against tumor cultures expressing CA-125, while inferior to LAK in cultures not expressing CA125 (MCF-7, HEK293).Conclusions. The use of anti-CA125 CAR-T lymphocytes against CA125-positive tumor cell lines OVCAR-3 and OVKATE demonstrated a pronounced specific cytotoxic effect exceeding the cytotoxic effect of LAK, which was not achieved against CA125-negative MCF-7 and HEK293 cells.

Extremely high levels of CA199 antigen in borderline mucinous ovarian cystadenoma.

SynopsisA case report on a patient with a mucinous borderline ovarian cystadenoma with extremely elevated CA199 levels.

Electrochemical sensor for rapid diagnosis and early-stage detection of pancreatic cancer using Er-GQDs decorated MoS2 nanoflowers

In this study, for the first time, the erbium-doped graphene quantum dots (Er-GQDs) were decorated onto a three-dimensional MoS2 nanoflower (EGM) for electrochemically sensitive and selective detection of carbohydrate antigen, CA 19-9, in phosphate buffer saline (PBS) and biological fluids. The MoS2 nanoflowers (MoS2 NF) were hydrothermally prepared at 200 °C for 24 h, and then 2–8 nm of Er-GQDs were uniformly deposited onto 200 nm MoS2 NF. The MoS2 NF has a high electric conductivity for electrochemical performance, whereas Er-GQDs act as an effective anchor with anti-CA19-9 antibodies (CA19-9 Ab) for ultra-selectivity to CA19-9 antigen. The SPE||EGM/Ab immunosensor has substantial benefits by providing a long-lasting, ultra-sensitive, and highly selective platform for CA19-9 antigen detection. The dynamic ranges in PBS, human serum, and saliva are 5 × 10−5–250, 5 × 10−4–250, and 3 × 10−4–250 U mL−1, respectively, with limits of detection (LODs) of (0.18–2.95) × 10−4 U mL−1. Furthermore, the SPE||EGM/Ab immunosensor can detect CA19-9 in human serum with a recovery of 97–108 %. The non-invasive detection of CA19-9 in saliva is stably sensitive before and after 1 h of breakfast. Moreover, the SPE||EGM/Ab immunosensor has excellent selectivity toward CA19-9 over the other 17 interferences. Results elaborate that the SPE||EGM/Ab immunosensor is a promising electrochemical biosensing probe for detecting CA19-9 in human serum and saliva for clinical diagnosis and prognosis of pancreatic cancer in the early stage.

Immunosensing of carbohydrate antigen 19–9 based on covalent organic framework loaded Prussian blue as signal amplification platform

Immunosensing of carbohydrate antigen 19–9 (CA 19–9) by using covalent organic framework (COF) loaded Prussian blue (PB) as signal amplification platform was developed. Firstly, two-dimensional (2D) vinyl-rich COFTAGH-Dva (TAGH, triaminoguanidine hydrochloride; Dva, 1,4-benzenedicarboxaldehyd) was prepared to load PB, and further the Ab2 was assembled through the “click” reaction between –SH of Ab2 and vinyl of COFTAGH-Dva to construct the beacon complex of PB/COFTAGH-Dva/Ab2. Another 2D COFTp-BD (Tp, 2,4,6-trihydroxybenzene-1,3,5-tricarbaldehyde; BD, benzidine) rich in –NH- groups was combined with AuNPs to form AuNPs/COFTp-BD by in-situ reduction method, and then Ab1 was assembled through Au-S bond. In the process of electrochemical immunosensing, AuNPs/COFTp-BD was first assembled on glassy carbon electrode (GCE) to form AuNPs/COFTp-BD/GCE, which then adsorbed Ab1 by Au-S bond, and specifically and quantitatively captured CA 19–9 and the beacon complex of PB/COFTAGH-Dva/Ab2. With the increase of antigen CA 19–9, the redox peak signal of Fe2+/Fe3+ derived from PB in the beacon complex of PB/COFTAGH-Dva/Ab2 gradually increased. The linear range of the electrochemical immunosensor was 0.01–150 U/mL (U/mL represents the concentration of CA 19–9, which is the number of units of CA 19–9 per 1 mL volume) and the detection limit was 0.003 U/mL. This work provides a reference for constructing high-performance electrochemical immunosensor probes by using good biocompatibility and electroactive materials loaded on non electroactive COFs.

Evaluations of the combined use of blood- and tissue-based protein biomarkers for pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a low 5-year survival rate. Biomarkers may be of value for the early diagnosis of pancreatic cancer. This study assessed blood- and tumour tissue-based biomarkers associated with pancreatic cancer. We studied 61 patients who underwent pancreatic resection. Of these 61 patients, 46 patients had PDAC, and 15 patients had inflammatory tumours. Blood and tumour tissue levels of VEGF, hypoxia-inducible factor 1α (HIF-1α) and glucose transporter 1 (GLUT1) were measured. Blood concentrations of VEGF (p < 0.000001) and HIF-1α (p = 0.000002) were significantly higher in the PDAC group than in the inflammatory tumour group. Tumour tissue concentrations of VEGF (p < 0.000001), HIF-1α (p = 0.000005) and GLUT1 (0.000002) were also significantly higher in the PDAC group. Univariate analyses revealed that age, BMI, and blood levels of CA19-9, VEGF, and HIF-1α were potential predictors of PDAC. Potential predictors of PDAC in tumour tissue were VEGF, HIF-1α and GLUT1. Multivariate analyses found that VEGF was the most powerful independent predictor of PDAC in blood (OR = 1.016; 95% CI: 1.007-1.025; 0.001) and tumour tissue (OR = 1.02; 95% CI: 1.008-1.032, p = 0.001). The cut-off point for blood VEGF was 134.56 pg/ml, with a sensitivity of 97.8%, specificity of 86.7%, PPV of 95.7%, and NPV of 92.9%. The cut-off point for tissue tumour VEGF in PDAC was 208.59 pg/mg, with a sensitivity, specificity, PPV and NPV of 97.7%, 92.9%, 97.7%, and 92.9%, respectively. There are significant differences in blood-based biomarkers for differentiating between PDAC and inflammatory tumours of the pancreas. VEGF was an independent predictor of PDAC independent of its addition to the routinely used tumour marker CA19-9 antigen.

Spectrally separated dual-label upconversion luminescence lateral flow assay for cancer-specific STn-glycosylation in CA125 and CA15-3

Multiplexed lateral flow assays (LFAs) offer efficient on-site testing by simultaneously detecting multiple biomarkers from a single sample, reducing costs. In cancer diagnostics, where biomarkers can lack specificity, multiparameter detection provides more information at the point-of-care. Our research focuses on epithelial ovarian cancer (EOC), where STn-glycosylated forms of CA125 and CA15-3 antigens can better discriminate cancer from benign conditions. We have developed a dual-label LFA that detects both CA125-STn and CA15-3-STn within a single anti-STn antibody test line. This utilizes spectral separation of green (540 nm) and blue (450 nm) emitting erbium (NaYF4:Yb3+, Er3+)- and thulium (NaYF4: Yb3+, Tm3+)-doped upconverting nanoparticle (UCNP) reporters conjugated with antibodies against the protein epitopes in CA125 or CA15-3. This technology allows the simultaneous detection of different antigen variants from a single test line. The developed proof-of-concept dual-label LFA was able to distinguish between the ascites fluid samples from diagnosed ovarian cancer patients (n = 10) and liver cirrhosis ascites fluid samples (n = 3) used as a negative control. The analytical sensitivity of CA125-STn for the dual-label LFA was 1.8 U/ml in buffer and 3.6 U/ml in ascites fluid matrix. Here we demonstrate a novel approach of spectrally separated measurement of STn-glycosylated forms of two different cancer-associated protein biomarkers by using UCNP reporter technology.Graphical

Abstract 7289: PancreaAlert: Intelligent nanoengineered biosensor for pancreatic cancer

Abstract Introduction: Pancreatic cancer accounts for 3% of cancer cases and 7% of cancer deaths in the United States. It is currently in the third position with respect to cancer-related deaths, and it is expected to move to second place as of 2040. This is mainly due to its diagnosis in the later stage. If detected in the first or second stage surgery can be performed thus increasing the patient’s survival rate. The current methods of diagnosis cannot do early stage or asymptomatic detection. So, detecting cancer-specific biomarkers can aid in the prognosis. Serum protein-based biomarkers carbohydrate antigen CA242, CA19-9, and carcinoembryonic antigen CEA are specific to pancreatic cancer. Thus, in this preliminary study, we aim to develop a nanoengineered electrochemical biosensor combined with machine learning to detect pancreatic cancer-specific biomarkers CA242, CA19-9, and CEA. Methodology: Nanoengineering the biosensor: The gold working electrode of the gold- biosensor (DRP-250AT) was coated with graphene oxide nano colloidal solution and kept in UV overnight for the graphene oxide nanosheet to crosslink with the working electrode. Detection of biomarkers using an electrochemical biosensor: First, a Crosslinker (DSP) was added to ethanol cleaned biosensor to bind the analytes. Following that antibody specific to each biomarker were added to the biosensors. The addition of TBS superblock prevented non-specific binding. Then different concentrations of biomarkers were added, and the corresponding sensor was subjected to various electrochemical analyses such as electrochemical impedance spectroscopy and voltammetry. SEM-EDAX analysis: The antigen-antibody binding on the biosensor's surface was confirmed. Automation and machine learning: Python code was developed to automate the analysis process and machine learning models (support vector machine and neural network) were used to classify the concentrations into various risk levels. The sensitivity of the developed tool was high when compared with conventional methods like ELISA and confocal microscopy. Results: From the electrochemical studies we found that with increasing concentration of biomarkers, there was a trend in output parameters: capacitance, resistance, impedance and area under the curve. By analyzing this trend, the concentrations of biomarkers can be detected. Using this data as input the machine learning model (accuracy greater than 80%) classified the concentrations into risk levels (normal, low risk, and high risk). Significance: Nanoengineering with graphene oxide nanosheets enhances the sensitivity of electrochemical biosensors. Automation and machine learning models help in the analysis of large datasets produced by this sensor. Overall, this device aids in the prognosis of pancreatic cancer. Our preliminary results are encouraging but more thorough research is required to make this diagnostic tool a working application. Citation Format: Meenal Karunanidhi, Hemalatha Kanniyappan, Edith Zhan, Ruth Mathew, Yani Sun, Junyi Wu, Yan Yan, Gnanasekar Munirathinum, Mathew T. Mathew. PancreaAlert: Intelligent nanoengineered biosensor for pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7289.

EVA1A, a novel and promising prognostic biomarker in colorectal cancer.

The purpose of this study was to investigate the potential of EVA1A as a prognostic biomarker for Colorectal cancer (CRC). The study utilized public databases to analyze the difference in Evala mRNA expression between CRC tumor tissues and adjacent normal tissues. Additionallymunohistochemical staining was performed on 90 paired tissue samples to detect EVA1A expression. The relationship between EVA1A and clinicopathological features was examined, and a Kaplan-Meier survival analysis was conducted. Univariate and multivariate Cox analyses were employed to identify prognostic factors affecting the overall survival (OS) of CRC patients. The analysis revealed a significant increase in Evala mRNA expression in CRC tumor cells compared to normal controls from public databases (P< 0.05). Immunohistochemical staining further confirmed a significant upregulation of EVA1A expression in CRC tissues (P< 0.05). High EVA1A expression was associated with age, pathological M stage, total tumor stage, and Carbohydrate antigen CA19-9 (CA19-9). Kaplan-Meier analysis demonstrated a significant association between high EVA1A expression and poor OS. Univariate and multivariate analysis identified EVA1A as an independent risk factor for CRC prognosis. The study suggests that EVA1A is increased in CRC tumor tissues and may serve as a potential biomarker for poor prognosis in CRC.

Serum tumor markers expression (CA199, CA242, and CEA) and its clinical implications in type 2 diabetes mellitus.

Glucose and lipid metabolic disorder in patients with type 2 diabetes mellitus (T2DM) is associated with the levels of serum tumor markers of the digestive tract, such as cancer antigen (CA)199. Therefore, tumor markers in T2DM are important. To evaluate the expression of serum tumor markers [CA199, CA242, and car-cinoembryonic antigen (CEA)] and the clinical implications of the expression in T2DM. For this observational study conducted at Hefei BOE Hospital, China, we enrolled 82 patients with first-onset T2DM and 51 controls between April 2019 and December 2020. Levels of fasting blood glucose (FBG), tumor markers (CA199, CEA, and CA242), glycosylated hemoglobin (HbA1c), etc. were measured and group index levels were compared. Moreover, FBG and HbA1c levels were correlated with tumor marker levels. Tumor markers were tested for diagnostic accuracy in patients with > 9% HbA1c using the receiver operating curve (ROC) curve. The T2DM group had high serum FBG, HbA1c, CA199, and CEA levels (P < 0.05). A comparative analysis of the two groups based on HbA1c levels (Group A: HbA1c ≤ 9%; Group B: HbA1c > 9%) revealed significant differences in CEA and CA199 levels (P < 0.05). The areas under the ROC curve for CEA and CA199 were 0.853 and 0.809, respectively. CA199, CEA, and CA242 levels positively correlated with HbA1c (r = 0.308, 0.426, and 0.551, respectively) and FBG levels (r = 0.236, 0.231, and 0.298, respectively). As compared to controls, serum CEA and CA199 levels were higher in patients with T2DM. HbA1c and FBG levels correlated with CA199, CEA, and CA242 levels. Patients with poorly controlled blood sugar must be screened for tumor markers.

AMPLIFY-7P: Phase 1 and randomized phase 2 study of amphiphile immunotherapy ELI-002 7P as adjuvant treatment for subjects with G12D, G12R, G12V, G12C, G12A, G12S and G13D Kirsten rat sarcoma (KRAS)-mutated pancreatic ductal adenocarcinoma.

TPS720 Background: KRAS mutations occur in 25% of human tumors, frequently in pancreatic where over 85% relapse after locoregional treatment. ELI-002 7P is a lymph node targeted immunotherapy comprised of Amphiphile (Amph)-modified G12D, G12R, G12V, G12C, G12A, G12S and G13D mutant KRAS peptides together with an Amph-modified CpG oligonucleotide adjuvant. In the first in human AMPLIFY-201 study, a two peptide G12D/G12R formulation increased KRAS-specific T cells in 87% of patients, and T cell responses 13-fold or higher over baseline correlated with outcomes including reduction in risk of relapse or death. The AMPLIFY-7P study hypothesizes that adjuvant administration of ELI-002 7P will be safe and will delay relapse compared to observation in patients with KRAS mutated pancreatic cancers who have completed curative intent locoregional treatment. Methods: This open-label, phase 1 and randomized phase 2 study is evaluating ELI-002 7P in patients with KRAS mutated pancreatic adenocarcinoma following standard of care chemotherapy and surgery. In phase 2, patients are randomized 2:1 to ELI-002 7P versus observation with crossover of the observation arm permitted at the time of confirmed radiographic relapse via iRECIST. Eligible patients must be within 6 months of completion of locoregional treatment for up-front resectable pathologically confirmed pancreatic cancer (Stage I-III) with radiographic NED (no evidence of disease). Phase 2 patients are included regardless of biomarker evidence of recurrent disease, however, those who have not recovered absolute lymphocytes to the normal range following cytotoxic therapy are excluded. The primary phase 2 objective is to compare the efficacy of ELI-002 7P versus observation, with primary endpoint disease-free survival per investigator. Secondary objectives compare biomarker response (reduction or clearance of ctDNA or if ctDNA was not detectable, serum tumor antigen CA19-9) in the subset with positive baseline values, OS, safety, and iRECIST response rate in the crossover subset. Exploratory endpoints include immunogenicity, the association of immunogenicity with high resolution HLA typing, and evaluation of tumor-infiltrating T cells and the tumor microenvironment in the event biopsy tissue is available. An Independent Data Monitoring Committee reviewed phase 1 data and recommended opening phase 2. Subsequent patients will receive up to 10 doses of Amph-peptides 7P 700 mcg each (4.9 mg total), together with Amph-CpG-7909 (10.0 mg) administered over a five-month treatment period. In Phase 2, approximately 135 patients will be enrolled in the United States. An interim analysis is planned using group sequential design for control of overall alpha 0.10. Clinical trial information: NCT05726864 .

Ultrasensitive Quantification of MUC16 Antigen/Amine-Terminated Aptamer Interaction by Surface Plasmon Resonance: Kinetic and Thermodynamic Studies.

MUC16 is a commonly employed biomarker to identify and predict ovarian cancer (OC). Precise measurement of MUC16 levels is essential for the accurate diagnosis, prediction, and management of OC. This research seeks to introduce a new surface plasmon resonance (SPR) biosensor design that utilizes aptamer-based technology to enable the sensitive and real-time detection of MUC16. In this study, the sensor chip was immobilized with an anti-MUC16 aptamer (Ap) by utilizing 11-mercaptoundecanoic acid (MUA) as a linker to attach the amine-terminated Ap to the chip using EDC/NHS chemistry. The results indicated that the newly created aptasensor had a detection limit of 0.03 U/mL for MUC16 concentration, with a linear range of 0.09 to 0.27 U/mL. The findings demonstrate good precision and accuracy (<15%) for each MUC16 concentration, with recoveries ranging from 93% to 96%. Additionally, the aptasensor exhibited high selectivity, good repeatability, stability, and applicability in real human serum samples, indicating its potential as a valuable tool for the diagnosis and treatment of OC. According to the outcomes, the designed aptasensor exhibited acceptable specificity to detect the CA125 antigen and could be utilized for the serum detection of target antigen by SPR method.

Association of neutrophils, monocytes, and lymphocytes with CA15-3 as a predictor of breast cancer in female patients

Infiltrated leukocytes, such as neutrophils, monocytes and lymphocytes can be involved in a variety of tumor development. The present study was aimed to investigate the linkage of neutrophils, monocytes and lymphocytes into breast cancer. The study included 166 patients (58 patients before chemotherapy and 58 patients after chemotherapy. CA15-3 antigen levels were measured and grading of breast cancer were identified. In addition, neutrophils, monocytes and lymphocytes percentage and their correlation into CA15-3 antigen were determined. The results observed a significant increase (P&lt;0.05) in the CA15-3 antigen levels. Moreover, the study also showed that CA15-3 antigen levels have a great correlation into grades of breast cancer particularly in grade 3 before treatment. The results also found that neutrophils and monocytes percentage were significantly increased in patients (P&lt;0.05) before treatment. However, lymphocytes percentage decreased before treatment and greatly increased after treatment. Additionally, the results showed a positive correlation between neutrophil and monocytes percentage with CA15-3 antigen levels before and after treatment. However, the correlation was negative between lymphocytes percentage and CA15-3 antigen levels. The present findings observed that neutrophils and monocytes have a great association with CA-15-3 antigen levels, a marker of breast cancer, therefore, targeting these cells could protect against breast cancer development. However, targeting these cells can negatively affect the patient immune response, thus further studies are needed to study that exact mechanism by which neutrophils and monocytes could enhance breast cancer development. Additionally, increased lymphocytes after treatment might be a good strategy to treat breast cancer.

Role of serum cancer antigen CA-125 in the First Trimester Threatened Miscarriage

Role of serum cancer antigen CA-125 in the First Trimester Threatened Miscarriage

Tumor Markers in Dogs with Mammary Gland Tumors

Abstract The aim of this study was to determine and compare values of carcinoembryonic antigen (CEA) and cancer antigen (CA 15-3) in 50 bitches with mammary tumors and 150 clinically healthy dogs. A modified procedure was used to determine the CEA and CA 15-3 markers with the human kits using the radioimmunoassay method (RIA). Samples collected from extirpated tumors of mammary glands were histologically processed and classified as per WHO guidelines. The mean values of the carcinoembryonic antigen markers ± SD were as follows: control group 0.89 ± 0.79, group with mammary gland tumor 1.53 ± 1.15. The values of cancer antigen markers CA 15-3 ± SD were: 1.52 ± 0.66 and 2.87 ± 1.11, respectively. The statistical significance for the carcinoembryonic antigen marker between groups was P &lt; 0.0001. The cancer antigen CA 15-3 values between groups were also statistically significant with P &lt; 0.0001. The results of the present study show that there are significant differences in both antigens between the control group and groups with mammary gland tumor in dogs.

Analysis of the clinical efficacy of laparoscopic middle pancreatectomy in the treatment of benign or low-grade malignant tumors of the pancreas.

The aim of this study was to investigate the clinical efficacy of laparoscopic middle pancreatectomy in the treatment of benign and junctional tumors of the pancreas. Retrospective analysis of basic data, tumor diameter, statistical analysis, and evaluation of efficacy-related indicators such as operative time, intraoperative bleeding, pathological findings, postoperative hospital stay, postoperative pancreatic fistula incidence, and pancreatic endocrine function was carried out on 17 patients diagnosed with benign or low-grade malignant tumors of the pancreas and laparoscopic middle pancreatic resection from January 2018 to January 2023 at the First Affiliated Hospital of Hunan Normal University. A total of 17 patients were screened. There were eight males and nine females; mean age was 42.8 ± 17.4 years (range: 15-69 years); BMI was 22.6 ± 2.5 kg/m2 (range: 18.4-27.5 kg/m2), and the tumor size was 3.4 ± 1.2cm (range: 1.5-5.5 cm). Preoperative glycan antigen CA19-9 was negative and CA125 was negative. Surgical time was 393.2 ± 57.9min; intraoperative bleeding was 211.7 ± 113.9ml; tumor diameter size was 3.4 ± 1.2cm; postoperative admission time was 19.4 ± 7.6 days; postoperative pancreatic fistula (POPF) grading was 17 cases, including nine cases of A-grade fistula, three cases of B-grade fistula, and none of C-grade fistula; postoperative pathology results were five cases of plasmacytoma, three cases of mucinous cystadenoma, four cases of SPN (solid pseudopapillary neoplasm), one case of Intraductal Papillary Mucinous Neoplasm (IPMN), three cases of pancreatic Neuroendocrine Neoplasm (pNEN), one case of inflammatory myofibroblastic osteoblastoma. All cases did not develop pancreatic origin diabetes or exacerbation of previous diabetes, and no cases presented symptoms of exocrine insufficiency such as dyspepsia and diarrhea. Laparoscopic middle pancreatectomy is safe and feasible in the treatment of benign or low-grade malignant tumors in the body of the pancreatic neck and is not accompanied by increased risk of intraoperative and postoperative complications and endocrine dysfunction of the pancreas.

CORRELATION OF CA 15.3 LEVELS WITH METASTASIS IN BREAST CANCER

Objectives: The objective is to measure the serum levels of Cancer Antigen CA 15.3 in breast cancer patients with metastasis and without metastasis and compare the mean values between them. The study investigated the correlation between CA 15.3 levels and metastasis in breast cancer. Methods: The study was conducted with 45 female patients in a tertiary care center in India, and metastatic evaluation was done using positron emission tomography–computed tomography. Results: The results indicated that CA 15.3 levels were significantly higher in the metastatic group compared to the non-metastatic group. Conclusion: CA 15.3 has the potential as a diagnostic tool for early detection of metastases in breast cancer patients.

Gamma-glutamyltransferase-associated glycoprotein patterns in human seminal plasma of normozoospermic men: a new aspect of biomarker heterogeneity.

Gamma-glutamyltransferase (GGT) is a well-known laboratory biomarker. In spite of high concentration and the possible biomedical importance of estimating GGT in human seminal plasma (hSP), it has not been widely explored in reproductive physiology. This study aimed to complement existing data on its diversity, previously obtained on seminal extracellular vesicles, by analyzing matched soluble fraction of hSP. The GGT-associated patterns of selected glycoproteins were analyzed in order to establish an adjunct referent parameter for differentiation between known high molecular mass forms of GGT. Getting insight into distinct GGT-associated glycoprotein patterns should contribute to define them together as possible multimarkers. GGT forms in soluble, membrane-free-fraction isolated form hSP of normozoospermic men were analyzed using gel filtration and lectin blotting using WGA (wheat germ agglutinin) and Con A (concanavalin A). Widely distributed GGT (with two to three partially resolved peaks), which may correspond to high molecular mass aggregates, were detected. GGT-associated patterns of selected glycoproteins (at position of big, medium, and small-GGT) all comprised high molecular mass WGA-reactive smears, but differed in the presence of Con A-reactive glycans, as well as mucin-associated antigens CA19-9 and CA125. GGT contributes to several molecular patterns that differ between the soluble and extracellular vesicle fractions of hSP. Their glycobiochemical heterogeneity is due to difference in the presence of distinct sialylated and mannosylated glycans. Moreover, GGT-associated glycoprotein patterns differentiate between high molecular mass forms of GGT in the soluble fraction of hSP. They hold promise as possible targets for increasing biomarker potential of GGT.

Prognostic Significance of Preoperative NLR, MLR, and PLR Values in Predicting the Outcome of Primary Cytoreductive Surgery in Serous Epithelial Ovarian Cancer

(1) The degree of cytoreduction achieved during primary debulking surgery (PDS) is an important prognostic factor for the survival of patients with epithelial ovarian cancer (EOC). Our aim was to investigate the prognostic value of preoperative laboratory parameters for the outcome of PDS. (2) We analyzed the preoperative laboratory parameters of 150 serous EOC patients who underwent PDS between 2006 and 2013. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values of the variables for predicting the PDS outcome. We used binary logistic regression to examine the independent predictive value of the factors for incomplete cytoreduction. (3) Among the parameters, we established optimal cut-off values for cancer antigen (Ca)-125, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) to predict the outcome of PDS. The results of binary logistic regression showed that stage (FIGO III-IV), MLR (&gt;0.305), and Ca-125 (&gt;169.15 kU/L) were independent significant predictors of the degree of tumor reduction achieved during PDS. (4) In the future, MLR, especially in combination with other parameters, may be useful in determining prognosis and selecting the best treatment option (PDS or neoadjuvant chemotherapy + interval debulking surgery) for ovarian cancer patients.