The utility of serum tumor markers CEA and CA 15-3 for breast cancer prognosis and their association with clinicopathological parameters

Revenge unraveling the fortress: Exploring anticancer drug resistance mechanisms in BC for enhanced therapeutic strategies

Breast cancer (BC) is the most prevalent form of cancer in women worldwide and the main cause of cancer-related fatalities in females. BC can be classified into various types based on where cancer has begun to grow or spread, specific characteristics that influence how cancer behaves, and treatment choices. BC is multifaceted, and due to its diverse nature, the mechanisms involved are complex and have not yet been understood. Overexpression and expression of various factors involved in the functioning of mechanisms lead to abnormal changes, providing an environment supporting cancer cell growth. Understanding BC risk factors and early diagnosis through screening techniques like mammography and diagnostic techniques such as imaging and biopsies has advanced significantly. A wide range of treatment options, including surgery, radiation, chemotherapy, targeted treatments, and hormonal therapies, are now available. Daily advancements are being made in the clinical treatment of BC. Still, BC drug resistance cases remain highly prevalent and are currently one of the biggest problems faced by medical science. To increase response rates and possibly lengthen survival, there is a critical requirement for novel medicines with minimal sensitivity to overcome drug resistance. This review classifies different mechanisms that are involved in the development of BC and workable pharmacological targets and explains how they relate to the development of BC drug resistance. By concentrating on the mechanisms covered in this review, we can have a deep understanding of different mechanisms and learn innovative ways to develop novel therapeutics for the disease to combat medication resistance.

Carcinoembryonic Antigen (CEA): Origin, Role in Oncology, and Concentrations in Serum and Peritoneal Fluid

CEA (carcinoembryonic antigen), which belongs to the acidic glycoproteins, is primarily produced during the fetal period. Following this stage, low levels of CEA are considered physiological, while elevated concentrations are associated with a range of both benign and malignant pathologies. The liver plays a key role in CEA metabolism. The most common material used to determine CEA concentrations by various techniques is blood, and measuring CEA in peritoneal fluid holds clinical value. CEA has been found to contribute to carcinogenesis, metastasis, and treatment resistance. Therefore, its serum concentration is widely used in oncology for prognosis, disease monitoring, and recurrence detection, despite its limited sensitivity and specificity, which prevent it from serving as a standalone diagnostic tool. Elevated serum CEA levels are linked to worse outcomes in lung, liver, breast, colorectal, and pancreatic cancers. Imaging and multi-marker panels that include CEA enhance diagnostic accuracy, but its role remains context-dependent and varies by cancer type. CEA levels in peritoneal fluid have been explored as a potential marker for detecting malignancy and predicting recurrence, particularly in gastric, gynecological, and colorectal cancers. Peritoneal fluid CEA has also been proven useful in differentiating the etiology of ascites. While cytology remains the standard for the detection of tumor cells in body fluids, its limited sensitivity provides a strong rationale for incorporating peritoneal fluid CEA measurements as a complementary diagnostic tool, potentially alongside other markers. Additionally, the lack of standardized measurement techniques and cut-off values underlines the methodological challenges that still need to be addressed in future research for both serum and peritoneal CEA levels.

Apo10 and TKTL1 in blood macrophages as potential biomarkers for early diagnosis of operable breast cancer

OBJECTIVE

Blood macrophage Apo10 and TKTL1 detection is a novel, noninvasive cancer screening approach, but its relevance in breast cancer remains uncertain. We compared the potential diagnostic value of Apo10 and TKTL1 with commonly used tumor markers in differentiating breast cancer patients.

METHODS

Physical examination and blood sample data from breast cancer patients who did not receive surgery or chemotherapy (retrospective; breast cancer group) and those with benign breast nodules and completely healthy subjects (prospective; control group) were collected from October 2020 to July 2022 at Sun Yat-sen University. Descriptive statistics and receiver operating characteristic (ROC) curves were generated. The area under the ROC curve (AUROC) was calculated to compare the diagnostic efficiency of Apo10 and TKTL1 with conventional biomarkers (carcinoembryonic antigen [CEA], cancer antigens [CA-125, CA-199, CA-153]) in differentiating breast cancer from healthy breasts and benign breast nodules.

RESULTS

From October 2020 to July 2022, 153 breast cancer patients (primarily early-stage disease: n = 113 (73.9%) stage I/II) and 153 control participants (benign breast nodules, n = 56; healthy, n = 97) were included in this study. The breast cancer subtypes were mainly invasive ductal carcinoma (92.8%), with a few cases of DCIS (5.9%), infiltrating lobular carcinoma (0.7%), and mucinous carcinoma (0.7%). Notably, Apo10, TKTL1, and Apo10 + TKTL1 (APT) levels were significantly greater in the cancer group than in the control group (P < 0.001), demonstrating high diagnostic value (AUC = 0.901, 0.871, 0.938) that surpassed CA-125, CA-199, CA-153, and CEA. In a subgroup analysis excluding stage III patients, APT-based breast cancer screening was minimally affected, with the AUROC (0.933-0.938) varying by ≤ 1%.

CONCLUSION

Compared with conventional biomarkers, Apo10, TKTL1, and APT showed superior early-stage breast cancer screening efficacy, potentially emerging as a promising marker for discriminating breast cancer from healthy breasts and nontumoral lesions.

A dual-mode homogeneous electrochemical-colorimetric biosensing sensor for carcinoembryonic antigen detection based on a microfluidic paper-based analysis device

Dual-mode-based sensors have drawn a lot of interest due to their high accuracy and sensitivity compared to single-response systems. A simple electrochemical and colorimetric dual-mode sensor based on enzyme-linked immunosorbent assay (ELISA), without complex electrode surface modification, was developed for accurate and sensitive detection of carcinoembryonic antigen (CEA). The target CEA is recognized by an antibody coupled to horseradish peroxidase (HRP), which then oxidizes the substrate 3,3',5,5'-tetramethylbenzidine (TMB) to generate both a colorimetric and an electrochemical signal. A paper-based analysis device (μPAD) with dual-mode homogeneous sensing microfluidic was created; three paper-based detection areas for colorimetric testing, and a two-electrode embedded detection area for electrochemical testing. When applying colorimetric analysis technology, the linear range of CEA detection is 0.6-40 ng mL-1, and the limit of detection (LOD) is 0.2 ng mL-1. The linear range is 0.1-40 ng mL-1 and the LOD is 0.03 ng mL-1 by applying electrochemical analysis. The visibility and intuitiveness of colorimetry provide a reference for higher sensitivity and quick response of the electrochemical method. A smartphone application (APP) was also developed to realize the dual extraction of colorimetric signals. The colorimetric detection system based on ELISA can provide a new path for the development of electrochemical sensing and makes it have inherent self-verification and self-correction functions and is expected to provide more reliable and accurate detection results.

Recent advances in surface plasmon resonance for the detection of ovarian cancer biomarkers: a thorough review

Early detection of ovarian cancer (OC) is crucial for effective management and treatment, as well as reducing mortality rates. However, the current diagnostic methods for OC are time-consuming and have low accuracy. Surface plasmon resonance (SPR) biosensors offer a promising alternative to conventional techniques, as they enable rapid and less invasive screening of various circulating indicators. These biosensors are widely used for biomolecular interaction analysis and detecting tumor markers, and they are currently being investigated as a rapid diagnostic tool for early-stage cancer detection. Our main focus is on the fundamental concepts and performance characteristics of SPR biosensors. We also discuss the latest advancements in SPR biosensors that enhance their sensitivity and enable high-throughput quantification of OC biomarkers, including CA125, HE4, CEA, and CA19-9. Finally, we address the future challenges that need to be overcome to advance SPR biosensors from research to clinical applications. The ultimate goal is to facilitate the translation of SPR biosensors into routine clinical practice for the early detection and management of OC.

Improving the Prognostic and Predictive Value of Circulating Tumor Cell Enumeration: Is Longitudinal Monitoring the Answer?

Circulating tumor cell (CTC) numbers in the blood of cancer patients can indicate the progression and invasiveness of tumors, and their prognostic and predictive value has been repeatedly demonstrated. However, the standard baseline CTC count at the beginning of treatment, while informative, is not completely reliable and may not adequately reflect the state of the disease. A growing number of studies indicate that the long-term monitoring of CTC numbers in the same patient provides more comprehensive prognostic data and should be incorporated into clinical practice, as a factor that contributes to therapeutic decisions. This review describes the current status of CTC enumeration as a prognostic and predictive factor, highlights the shortcomings of current solutions, and advocates for longitudinal CTC analysis as a more effective method of the evaluation of developing disease, treatment efficacy, and the long term-monitoring of the minimal residual disease. As evidenced by the described reports, the longitudinal monitoring of CTCs should provide a better and more sensitive prediction of the course of the disease, and its incorporation in clinical practice should be beneficial.

Association Between CA 15-3 and 18F-FDG PET/CT Findings in Recurrent Breast Cancer Patients at a Tertiary Referral Hospital in Kenya

The tumor marker cancer antigen 15-3 (CA 15-3) is that most commonly used to monitor metastatic breast cancer during active therapy and surveillance for disease recurrence after treatment. The association of CA 15-3 and 18F-FDG PET/CT findings can be considered complementary, since any significant rise may indicate the presence of disease and imaging is able to map the tumor sites. Although current guidelines do not recommend the routine performance of CA 15-3 in asymptomatic patients being followed up after definitive breast cancer treatment, most oncologists perform serial assessment of the tumor markers as part of routine follow-up of patients. The aim of this study was to evaluate the correlation between CA 15-3 levels and 18F-FDG PET/CT scan findings in patients with recurrent breast cancer. Methods: This was a cross-sectional study with data collected retrospectively. Patients being evaluated for breast cancer recurrence with 18F-FDG PET/CT imaging and CA 15-3 level were included. Evaluation of the association between CA 15-3 levels and 18F-FDG PET/CT scan findings was then done. Results: In total, 154 cases were included in this study; 62 patients had recurrence (positive) on the 18F-FDG PET/CT scans, whereas 92 patients had normal (negative) findings on follow-up 18F-FDG PET/CT scans. There was an association between CA 15-3 levels and the presence or absence of recurrence on 18F-FDG PET/CT scans, with 84.4% (27/32) of patients who had elevated CA 15-3 levels having disease recurrence on 18F-FDG PET/CT and 84.4% (27/32) of patients who had elevated CA 15-3 levels having disease recurrence on 18F-FDG PET/CT as well as a correlation with the burden of metastases. Most patients with disease recurrence on 18F-FDG PET/CT, however, had normal CA 15-3 levels. Conclusion: Higher CA 15-3 levels correlate with breast cancer recurrence on 18F-FDG PET/CT as well as with burden of metastasis. Notably, CA 15-3 levels within the reference range do not exclude breast cancer disease recurrence since more than half of patients with recurrence had normal CA 15-3 levels. 18F-FDG PET/CT should therefore be considered in patients with suspected breast cancer recurrence but normal CA 15-3 levels.

Identification of circulating tumor DNA as a biomarker for diagnosis and response to therapies in cancer patients

The sampling of circulating biomarkers provides an opportunity for non-invasive evaluation and monitoring of cancer activity. In modern day practice, this has typically been in the form of circulating tumor DNA (ctDNA) detected in plasma. The field of ctDNA has been a burgeoning technology, with prominent applications for blood-based cancer screening and in disease status assessment, especially after curative-intent surgery to evaluate for minimal residual disease (MRD). Clinical applications for the latter show an incredibly high sensitivity in certain cancer types with a need for additional studies to determine how much clinical decision-making should be adapted based on ctDNA results and which cancer types, stages, and treatments are best informed by ctDNA results. This chapter provides an overview of ctDNA detection as tool for cancer screening, detecting MRD, and/or molecularly characterizing a cancer, highlighting the rapidly amassing research as a prognostic biomarker and emerging data on ctDNA as a predictive biomarker.

Diagnostic Accuracy of Cancer Antigen 15-3 as a Seromarker Among Recurrent Breast Carcinoma in Bangladesh

BACKGROUND

The diagnosis of recurrent breast carcinoma is crucial for patient treatment. The present study aimed to assess the diagnostic accuracy of cancer antigen 15-3 (CA 15-3) as a sero-marker among recurrent breast carcinoma patients.

METHODS

This prospective observational study evaluated the serum CA 15-3 among women (age ≥18 years) with recurrent breast carcinoma. The CA 15-3 was measured by the enzyme-linked immunosorbent assay (ELISA), and concentrations were stratified using a cut-off value of 30 U/mL. The receiver operating characteristic (ROC) curve observed that the sensitivity and specificity of the CA 15-3 cut-off value and the area under the AUROC curve demonstrate the goodness-of-fit of the prediction model.

RESULTS

A total of 50 patients were recruited, with a mean age of 48.4 ±9.7years. The majority (n=28, 56.0%) of patients were 41 to 50 years old. Further, a total of 42 (84%) patients had high serum levels of CA 15-3, with a mean value of 72.7±9.5 U/mL. At the cut-off level of 30 U/mL, the ROC curve demonstrated sensitivity, specificity, positive predictive value, and negative predictive value of 95.7%, 69.4%, 84.1%, and 72.8%, respectively, to diagnose recurrent breast carcinoma. Nonetheless, the area under the ROC (AUROC) curve was 0.712, indicating a satisfactory fit for the prediction model.

CONCLUSION

We found that CA 15-3 level ≥30 U/mL is highly sensitive and specific as a seromarker for detecting recurrent breast cancer among the Bangladeshi population. We recommend routinely monitoring breast cancer survivors using CA 15-3 biomarkers.

Circulating tumor DNA in Egyptian women with breast Cancer: A marker for detection of primary cases and early prediction of recurrence

Worldwide, female breast cancer (BC) has surpassed lung cancer as the most commonly diagnosed cancer. Early diagnosis of cancer recurrence can provide substantial benefits for BC patients who are at high risk of relapse. We aimed to investigate the role of ALU 247, ALU 115, cfDNA integrity index, CA15-3 and CEA as potential diagnostic markers in BC patients and as markers for early prediction of recurrence. Fifty BC patients (10 patients showed recurrence), 26 BBD patients and 22 healthy controls were included. Real-time q-PCR was used to measure the concentration of ALU 247 and ALU 115 in plasma then cfDNA integrity index was calculated. "ECLIA" was used to measure the concentration of CA15-3 and CEA in serum. Our results showed significant higher levels of ALU 247, ALU 115, CA15-3 and CEA in BC patients in comparison to healthy controls (P=0.02, 0.008, <0.001 and < 0.001 respectively). Also, cfDNA integrity index was higher in BC patients in comparison to healthy controls but statistically insignificance (p = 0.46). In recurrent BC patients; ALU 247, ALU 115, cfDNA integrity index, CA15-3 and CEA levels were higher compared to non-recurrent BC patients but with no statistic significant (p = 0.46, 0.59, 0.09, 0.85 and 0.84 respectively). This may result from the short period of follow up (1-2 years) and the relatively small sample size due to exclusion of patients with chronic diseases or inflammation as well as those who received therapy or post-surgery. By using the ROC curve, the sensitivity of ALU 247, ALU 115, CA15-3 and CEA for discriminating BC patients from BBD patients and healthy controls was 79 %, 79.2 %, 76.0 % and 88.0 % respectively. This study suggested that ALU 247, ALU 115, CA15-3 and CEA could be promising non-invasive markers of BC for diagnosis and early prediction of recurrence after validation in large-scale future studies.

Molecular Residual Disease in Breast Cancer: Detection and Therapeutic Interception

Breast cancer remains a leading cause of cancer-related death in women despite screening and therapeutic advances. Early detection allows for resection of local disease; however, patients can develop metastatic recurrences years after curative treatment. There is no reliable blood-based monitoring after curative therapy, and radiographic evaluation for metastatic disease is performed only in response to symptoms. Advances in circulating tumor DNA (ctDNA) assays have allowed for a potential option for blood-based monitoring. The detection of ctDNA in the absence of overt metastasis or recurrent disease indicates molecular evidence of cancer, defined as molecular residual disease (MRD). Multiple studies have shown that MRD detection is strongly associated with disease recurrence, with a lead time prior to clinical evidence of recurrence of many months. Importantly, it is still unclear whether treatment changes in response to ctDNA detection will improve outcomes. There are currently ongoing trials evaluating the efficacy of therapy escalation in the setting of MRD, and these studies are being conducted in all major breast cancer subtypes. Additional therapies under study include CDK4/6 inhibitors, PARP inhibitors, HER2-targeted therapies, and immunotherapy. This review will summarize the underlying scientific principles of various MRD assays, their known prognostic roles in early breast cancer, and the ongoing clinical trials assessing the efficacy of therapy escalation in the setting of MRD.

Pretreatment carcinoembryonic antigen combined with cancer antigen-125 for predicting lymph node metastasis in endometrial carcinoma: a retrospective cohort study

PURPOSE

To investigate whether the cost-effective, pretreatment tumor markers carcinoembryonic antigen (CEA) and carbohydrate antigen-125 (CA-125) can be used to predict lymph node metastasis (LNM) in endometrioid-type endometrial cancer (EC) and to develop a predictive model.

METHODS

This was a single-center retrospective study of patients with endometrioid-type EC who underwent complete staging surgery between January 2015 and June 2022. We identified the optimal cut-off values of CEA and CA-125 for predicting LNM using receiver operating characteristic (ROC) curves. Stepwise multivariate logistic regression analysis was used to identify independent predictors. A nomogram for predicting LNM was constructed and validated by bootstrap resampling.

RESULTS

The optimal cut-off values of CEA and CA-125 were 1.4 ng/mL (area under the ROC curve (AUC) 0.62) and 40 U/mL (AUC 0.75), respectively. Multivariate analysis showed that CEA (odds ratio (OR) 1.94; 95% confidence interval (CI) 1.01-3.74) and CA-125 (OR 8.75; 95% CI 4.42-17.31) were independent predictors of LNM. Our nomogram showed adequate discrimination with a concordance index of 0.78. Calibration curves for the probability of LNM showed optimal agreement between the predicted and actual probabilities. The risk of LNM for markers below the cut-offs was 3.6%. The negative predictive value and negative likelihood ratio were 96.6% and 0.26, respectively, with moderate ability to rule out the possibility of LNM.

CONCLUSION

We report a cost-effective method of using pretreatment CEA and CA-125 levels to identify patients with endometrioid-type EC who are at a low risk for LNM, which may guide decision-making regarding aborting lymphadenectomy.

Predictive value of controlling nutritional status score in postoperative recurrence and metastasis of breast cancer patients with HER2-low expression

Background

To investigate the predictive value of controlling nutritional status (CONUT) score in Postoperative Recurrence and Metastasis of Breast Cancer Patients with HER2-Low Expression.

Methods

The clinicopathological data of 697 female breast cancer patients who pathology confirmed invasive ductal carcinoma and surgery in Harbin Medical University Tumor Hospital from January 2014 to January 2017 were retrospectively analyzed. The relationship between CONUT score and various clinicopathological factors as well as prognosis was evaluated.

Results

Based on the cut-off point of ROC curve, compared with the low CONUT score group, the high CONUT score group had worse 5-year RFS. In subgroup analysis, compared with the low CONUT group, the high CONUT group had worse prognosis at different TNM stages. Univariate and multivariate results showed that the low CONUT score group had better overall survival and recurrence-free survival than the high CONUT group.

Conclusion

CONUT score is an independent predictor of postoperative recurrence and metastasis in HER2-low breast cancer patients. It is may be used as an effective tool to predict the recurrence and metastasis of HER2-low breast cancer.

Surface Plasmon Resonance (SPR) Sensor for Cancer Biomarker Detection

A biomarker is a physiological observable marker that acts as a stand-in and, in the best-case scenario, forecasts a clinically significant outcome. Diagnostic biomarkers are more convenient and cost-effective than directly measuring the ultimate clinical outcome. Cancer is among the most prominent global health problems and a major cause of morbidity and death globally. Therefore, cancer biomarker assays that are trustworthy, consistent, precise, and verified are desperately needed. Biomarker-based tumor detection holds a lot of promise for improving disease knowledge at the molecular scale and early detection and surveillance. In contrast to conventional approaches, surface plasmon resonance (SPR) allows for the quick and less invasive screening of a variety of circulating indicators, such as circulating tumor DNA (ctDNA), microRNA (miRNA), circulating tumor cells (CTCs), lipids, and proteins. With several advantages, the SPR technique is a particularly beneficial choice for the point-of-care identification of biomarkers. As a result, it enables the timely detection of tumor markers, which could be used to track cancer development and suppress the relapse of malignant tumors. This review emphasizes advancements in SPR biosensing technologies for cancer detection.

Serum Raman spectroscopy: Prognostic applications in oral cancers

BACKGROUND

Loco-regional recurrences attributable to field cancerization and minimal residual cancer, remain prime causes of mortality in oral cancer (OC) subjects. The current study evaluates potential of serum Raman spectroscopy (SRS) to identify recurrence-prone OC subjects.

METHODS

Raman spectra of serum from eight healthy subjects (H) and 57 OC subjects (with-recurrence [R], without-recurrence [NR], and with suspicious-lesions [S]), before (BS) and after (AS) surgical excision of tumor were recorded. OC subjects were followed-up for 7-years.

RESULTS

DNA and protein alterations were observed in AS sera of all groups. 4-, 3-, and 2-model multivariate analyses were used to stratify BS and AS groups. H spectra were 100% distinguishable from all other groups. AS, R and NR were distinguished with high accuracy (84%) in all models. No stratification (~50%) was observed BS.

CONCLUSION

SRS shows potential to identify recurrence prone subjects, post-surgery, using serum collected as early as 1 week after surgery.

Detection of IL-1β, VEGF and IL-4 with their novel genetic variations in breast cancer patients

Interleukin-1β (IL-1β), vascular endothelial growth factor (VEGF), and IL-4 serum levels and new genetic mutations in breast cancer (BC) patients were assessed in the current study. The serum levels of the examined cytokines in 40 BC patients and 40 control subjects were assessed using the ELISA technique. In order to identify genotype variants of the IL-1β, IL-4, and VEGF genes in 40 Formalin Fixed Paraffin Embedded (FFPE) samples with BC and 10 FFPE samples from healthy women's breast tissue, Sanger sequencing was used. According to this study, BC patients had significantly lower serum concentrations of IL-4 and significantly higher quantities of the tumor markers, CA15-3, IL-1β, and VEGF. In terms of genotype alterations, a total of 21 mutations in three trialed genes (eight in IL-1β, 10 in IL-4, and three in VEGF) were found in BC patients. The results of the current investigation suggested that angiogenesis and the development of BC may be significantly influenced by the genetic differences and higher levels of the examined cytokines.

An ultrasensitive electrochemical immunosensor for carcinoembryonic antigen detection based on two-dimensional PtPd/Cu-TCPP(Fe) nanocomposites

Establishing an effective signal amplification strategy is the key to achieving sensitive detection of analytes by electrochemical immunoassay. In this work, a novel sandwich-type electrochemical immunosensor with dual-signal amplification was successfully constructed using PtPd/Cu-TCPP(Fe) as the sensing platform and mesoporous silicon dioxide as the signal amplifier. Firstly, two-dimensional wrinkled Cu-TCPP(Fe) nanomaterials loaded with PtPd nanoparticles have strong affinity for the immobilization of capture antibodies and can generate excellent electrochemical signals. Meanwhile, the mesoporous silicon dioxide with large steric hindrance was used as signal label to further improve the sensitivity of the immunosensor by increasing the difference of the current response signal. Under optimal experimental conditions, the electrochemical immunosensor exhibited a wide linear detection range from 0.1 pg/mL to 1.0 μg/mL, with a detection limit as low as 0.166 fg/mL. The experimental results showed that the constructed immunosensor has a great application prospect in clinical biomarker detection.

The prognostic importance of glucose-to-lymphocyte ratio and uric acid in metastatic breast cancer patients treated with Cdk 4/6 inhibitors

Aim: To demonstrate the prognostic importance of glucose-to-lymphocyte ratio (GLR) and uric acid (UA) in patients with metastatic breast cancer (MBC) receiving Cdk 4/6 inhibitors. Materials & methods: Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, GLR, UA and CA15-3 were analyzed to assess their prognostic value using Kaplan-Meier curves and Cox regression analysis in 101 patients with MBC, retrospectively. Results: Importantly, both progression-free survival and overall survival were shorter in the group with high neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), GLR and UA. In the multivariate analysis, GLR and UA levels were independent prognostic factors for both progression-free survival and overall survival. Conclusion: In patients with MBC, GLR and UA are independent factors that predict survival times.

Prognostic Value of Salivary Biochemical Indicators in Primary Resectable Breast Cancer

Despite the fact that breast cancer was detected in the early stages, the prognosis was not always favorable. In this paper, we examined the impact of clinical and pathological characteristics of patients and the composition of saliva before treatment on overall survival and the risk of recurrence of primary resectable breast cancer. The study included 355 patients of the Omsk Clinical Oncology Center with a diagnosis of primary resectable breast cancer (T1-3N0-1M0). Saliva was analyzed for 42 biochemical indicators before the start of treatment. We have identified two biochemical indicators of saliva that can act as prognostic markers: alkaline phosphatase (ALP) and diene conjugates (DC). Favorable prognostic factors were ALP activity above 71.7 U/L and DC level above 3.93 c.u. Additional accounting for aspartate aminotransferase (AST) activity allows for forming a group with a favorable prognosis, for which the relative risk is reduced by more than 11 times (HR = 11.49, 95% CI 1.43-88.99, p = 0.01591). Salivary AST activity has no independent prognostic value. Multivariate analysis showed that tumor size, lymph nodes metastasis status, malignancy grade, tumor HER2 status, and salivary ALP activity were independent predictors. It was shown that the risk of recurrence decreased with menopause and increased with an increase in the size of the primary tumor and lymph node involvement. Significant risk factors for recurrence were salivary ALP activity below 71.7 U/L and DC levels below 3.93 c.u. before treatment. Thus, the assessment of biochemical indicators of saliva before treatment can provide prognostic information comparable in importance to the clinicopathological characteristics of the tumor and can be used to identify a risk group for recurrence in primary resectable breast cancer.

Metabolic Features of Saliva in Breast Cancer Patients

The aim of the work was to study the metabolic characteristics of saliva in breast cancer and the subsequent assessment of the potential information content of its individual biochemical indicators. The study included 487 patients of the Omsk Clinical Oncology Center with morphologically verified breast cancer and 298 volunteers without breast pathologies. Saliva samples were obtained from all patients before the start of treatment, and the values of 34 biochemical indicators were determined. It has been shown that concentration of total protein, urea, uric acid (UA), the total content of α-amino acids and lipid peroxidation products, and the activity of metabolic and antioxidant enzymes (in particular catalase—CAT) of saliva changed significantly in breast cancer. Biochemical indicators characterizing early breast cancer have been identified, which can be used for timely diagnosis in addition to existing methods. The coefficients UA/Urea and UA·CAT/Urea are proposed, for which the maximum deviation from the norm was observed in the early stages of the disease. It was shown that for ductal breast cancer, changes in the activity of metabolic enzymes of saliva were more pronounced, while, for lobular breast cancer, the indicators of enzymatic and non-enzymatic components of antioxidant protection changed. The results confirmed the potential importance of saliva in the diagnosis of breast cancer.

Which Clinicopathologic Parameters Suggest Primary Resistance to Palbociclib in Combination With Letrozole as the First-Line Treatment for Hormone Receptor-Positive, HER2-Negative Advanced Breast Cancer?

In this study, we evaluated clinical parameters to predict the primary resistance of palbociclib in combination with endocrine therapy as the first-line treatment in patients with hormone receptor (HR)+, human epidermal growth factor receptor 2 (HER2)- metastatic breast cancer (MBC). We performed a data analysis of patients diagnosed with HR+, HER2-MBC who received palbociclib plus letrozole as the first-line treatment in the metastatic setting from the clinical data warehouse in Samsung Medical Center. In this study, 305 patients were included in the final data analysis. The median follow-up duration was 31 months, and we observed 123 cases of disease progression. The median progression-free survival (PFS) was 28.7 months, and 38 patients (12.5%) had less than a 6-month PFS. The multivariate analysis suggested that primary resistance to adjuvant endocrine therapy (ET) (hazard ratio: 1.91), presence of liver metastasis (hazard ratio: 2.17), initial elevation of serum CA-15-3 (hazard ratio: 1.99), weak positivity of estrogen receptor (ER) (hazard ratio: 2.28), Ki-67 3+ or 4+ (hazard ratios: 2.58 and 10.28), and presence of mutation (hazard ratio: 9.59) were associated with a short PFS duration. A further prediction model was developed with data from 256 patients and 33 cases of disease progression in 6 months. This model included five factors-primary resistance to adjuvant ET (odds ratio, OR: 1.14), liver metastasis (OR: 1.56), initial CA-15-3 elevation (OR: 1.51), weak ER expression (OR: 2.22), and BRCA2 mutation (OR: 2.85)-and the area under the receiver operating characteristic curve was 0.842 (95% CI: 0.775, 0.909; p < 0.001). Finally, we divided them into four risk groups according to the prediction model with the five risk factors. These four groups had different PFS (p < 0.001) and primary resistance of palbociclib with letrozole [OR of group 2 vs. group 1 (ref): 2.18 (p = 0.002), OR of group 3: 3.91 (p < 0.001), and OR of group 4: 4.25 (p < 0.001)]. We developed a prediction model of primary resistance to palbociclib with letrozole as the first-line treatment for HR+, HER2-MBC. Our prediction model might be helpful for considering the first-line treatment strategies. Further well-designed clinical trials would be warranted to validate our prediction model.

Serum Circ-FAF1/Circ-ELP3: A novel potential biomarker for breast cancer diagnosis

Background

Recently, measurement of serum circular RNAs (circRNAs) as a non‐invasive tumor marker has been considered more. We designed the present study to investigate the diagnostic efficiency of serum Circ‐ELP3 and Circ‐FAF1, separately and simultaneously, for diagnosis of patients with breast cancer.

Methods

Seventy‐eight female patients diagnosed as primary breast cancer participated in this study. We measured the level of circRNAs in serum specimens of the studied subjects. A receiver operating characteristic (ROC) curve was plotted and the diagnostic efficiency for both circRNAs was determined.

Results

Compared to non‐cancerous controls, Circ‐ELP3 was upregulated in breast cancer patients (p‐value = 0.004). On the other hand, serum Circ‐FAF1 was seen to be decreased in breast cancer patients than controls (p‐value = 0.001). According to ROC curve results, the area under the curve (AUC) for Circ‐ELP3 and Circ‐FAF1 was 0.733 and 0.787, respectively. Furthermore, the calculated sensitivity and specificity for Circ‐ELP3 and Circ‐FAF1 were 65, 64% and 77, 74%, respectively. Merging both circRNAs increased the diagnostic efficiency, with a better AUC, sensitivity and specificity values of 0.891, 96 and 62%, respectively.

Conclusion

Briefly, our results revealed the high diagnostic value for combined circRNAs panel, including Circ‐ELP3 and Circ‐FAF1 as a non‐invasive marker, in detection of breast carcinomas.