Predictive Significance of Combined Plasmatic Detection of BRAF Mutations and S100B Tumor Marker in Early-Stage Malignant Melanoma.

BACKGROUND: Melanoma is the most aggressive skin cancer with ability to recur also after early-stage tumor surgery. The aim was to identify early-stage melanoma patients at high risk of recurrence using liquid biopsy, estimating of mutated BRAF ctDNA and the level of tumor marker S100B in plasma. METHODS: Eighty patients were enrolled in the study. BRAF V600E mutation was determined in FFPE tissue and plasma samples using ultrasensitive ddPCR with pre-amplification. The level of S100B was determined in plasma by immunoassay chemiluminescent method. RESULTS: The best prediction of melanoma recurrence after surgery was observed in patients with combined high level of S100B (S100Bhigh) and ctDNA BRAFV600E (BRAFmut) in preoperative (57.1% vs. 12.5%, p = 0.025) as well as postoperative blood samples (83.3% vs. 14.3%, resp., p = 0.001) in comparison with low S100B and BRAF wild-type. Similarly, patients with preoperative and postoperative S100Bhigh and BRAFmut experienced worse prognosis (DFI p = 0.05, OS p = 0.131 and DFI p = 0.001, OS = 0.001, resp.). CONCLUSION: We observed the benefit of the estimation of combination of S100B and ctDNA BRAFmut in peripheral blood for identification of patients at high risk of recurrence and unfavorable prognosis. SIGNIFICANCE: There is still no general consensus on molecular markers for deciding the appropriateness of adjuvant treatment of early-stage melanoma. We have shown for the first time that the combined determination of the ctDNA BRAFmut oncogene (liquid biopsy) and the high level of tumor marker S100B in pre- and postoperative plasma samples can identify patients with the worst prognosis and the highest risk of tumor recurrence. Therefore, modern adjuvant therapy would be appropriate for these patients with resectable melanoma, regardless of disease stage.

Prognostic Value of Tumor Tissue Up-regulated microRNAs in Clear Cell Renal Cell Carcinoma (ccRCC).

BACKGROUND/AIM: The management of patients with clear cell renal cell carcinoma (ccRCC) includes prognosis assessment based on TNM classification and biochemical markers. This approach stratifies patients with advanced ccRCC into groups of favorable, intermediate, and poor prognosis. The aim of the study was to improve prognosis estimation using microRNAs involved in the pathogenesis of ccRCC. PATIENTS AND METHODS: The study was based on a histologically-verified set of matched ccRCC FFPE tissue samples (normal renal tissue, primary tumor, metastasis, n=20+20+20). The expression of 2,549 microRNAs was analyzed using the SurePrint G3 Human miRNA microarray kit (Agilent Technologies). Prognostic value of significantly deregulated microRNAs was further evaluated on microRNA expression and clinical data of 475 patients obtained from TCGA Kidney Clear Cell Carcinoma (KIRC) database. RESULTS: There were 13 up-regulated and 6 down-regulated microRNAs in tumor tissues compared to control tissues. Among them, survival analysis revealed those with prognostic significance. Patients with high expression of miR-21, miR-27a, miR-34a, miR-106b, miR-210, and miR-342 showed significantly unfavorable outcome. The opposite was observed for miR-30e, patients with low expression had significantly shorter survival. CONCLUSION: The inclusion of these microRNAs in a prognostic panel holds the potential to enhance stratification scoring systems, on which the treatment of ccRCC patients is based.

Evaluation of Serum Cytokeratines, Thymidine Kinase, and Growth Factors as Cancer Biomarkers in Colorectal Cancer.

BACKGROUND/AIM: Classical serum cancer biomarkers, such as carcinoembryonic antigen (CEA) and cancer antigen 19-9 (CA 19-9), remain important tools in colorectal cancer (CRC) management for disease follow up. However, their sensitivity and specificity are low for diagnostic and prognostic evaluation. The aim of this study was to evaluate the potential of biomarkers reflecting biological activity of tumors - tissue polypeptide specific antigen (TPS), cytokeratin fragment 19 (CYFRA 21-1), thymidine kinase (TK), insulin-like growth factor 1 (IGF-1) and insulin-like growth factor binding protein 3 (IGF-BP3) - together with the CEA and CA 19-9 in CRC diagnosis and prognosis. PATIENTS AND METHODS: This is a retrospective study including 148 CRC patients and 68 age-matched healthy subjects. Serum biomarkers were measured in pre-operative serum samples using immunoanalytical methods. The end-point for the diagnostic evaluation was the area under the receiving operating characteristic curve (AUC ROC) of the biomarkers. The end-point for the prognostic evaluation was overall survival. RESULTS: Serum levels of CEA, CA 19-9, TPS, and TK were significantly increased in CRC early-stage patients compared with healthy controls. Each of the studied biomarkers had AUC between 0.6 and 0.7. Analysis of survival demonstrated that the patients with CEA, CA 19-9, cytokeratin, and TK above optimal cut offs had significantly shorter survival. A multivariate analysis performed on all the study biomarkers resulted in the selection of CYFRA 21-1 as the best performing biomarker with hazard ratio 10.413. CONCLUSION: The combination of cytokeratins and thymidine kinase with classical cancer biomarkers enables the prediction of tumor aggressiveness and long-term prognosis.

Preanalytical stability of molecular forms of prostate-specific antigen in serum samples (PSA, free PSA, [-2]proPSA) and their impact on fPSA/tPSA ratio and PHI.

BACKGROUND: Prostate cancer is a common cancer in men. Detection methods include the measurement of biomarkers: prostate-specific antigen (PSA), free PSA, [-2]proPSA, and the calculated indices: fPSA/tPSA ratio and Prostate Health Index (PHI). Proper preanalytical conditions are crucial for precise measurement and failure to adhere to protocols or regulations can influence the diagnostic algorithm. We assessed the stability of the above-mentioned biomarkers, fPSA/tPSA ratio and PHI, under various pre-analytical conditions. METHODS: Serum samples from 45 males were collected and stored under specific conditions before tPSA, fPSA, and [-2]proPSA were measured. Subsequently, the fPSA/tPSA and PHI were calculated. RESULTS: tPSA, fPSA, and [-2]proPSA remained stable during the two freeze-thaw cycles. Storage at 4°C and 22°C resulted in stable tPSA concentrations. However, fPSA levels decreased and [-2]proPSA levels increased over time. The fPSA/tPSA ratio remained stable for 72 h, at which point a decrease was observed in the samples kept at 4°C and 22°C. A gradual increase in PHI was observed in the samples kept at 4°C and 22°C. CONCLUSIONS: All biomarkers remained stable during two freeze-thaw cycles. tPSA was the most stable analyte when stored at 4°C, as well as at RT. A gradual increase of [-2]proPSA and a slight decrease in fPSA were observed during the storage test. This led to a decrease in the fPSA/tPSA ratio and an elevation in the PHI. We therefore recommend measuring prostate biomarkers promptly following blood collection. IMPACT: Understanding the pre-analytical stability of prostate biomarkers helps prevent false positive results and improve the accuracy of diagnostics for prostate cancer.

Concomitant antihypertensive medication and outcome of patients with metastatic castration-resistant prostate cancer receiving enzalutamide or abiraterone acetate.

BACKGROUND: The introduction of novel hormonal therapies represented by enzalutamide (ENZ) and abiraterone acetate (ABI) has reached a great progress in the treatment of metastatic castration-resistant prostate cancer (mCRPC). The majority of mCRPC patients are elderly suffering from chronic co-morbidities requiring use of various concomitant medications. In the present study, we focused on impact of concomitant antihypertensive medication on the outcomes of mCRPC patients treated with ENZ or ABI. METHODS: In total, 300 patients were included and their clinical data were retrospectively analyzed. RESULTS: Angiotensin-converting enzyme inhibitors (ACEIs) represented the only concomitant medication significantly associated with survival. The median radiographic progression-free survival (rPFS) and overall survival (OS) for patients using ACEIs were 15.5 and 32.3 months compared to 10.7 and 24.0 months for those not using ACEIs (p = 0.0053 and p = 0.0238, respectively). Cox multivariable analysis revealed the use of ACEIs a significant predictive factor for both rPFS (HR = 0.704, p = 0.0364) and OS (HR = 0.592, p = 0.0185). CONCLUSION: The findings of this study suggest an association between the concomitant use of ACEIs and longer survival of mCRPC patients receiving ENZ or ABI therapy.

Predicting Chronic Hyperplastic Candidiasis Retro-Angular Mucosa Using Machine Learning.

Chronic hyperplastic candidiasis (CHC) presents a distinctive and relatively rare form of oral candidal infection characterized by the presence of white or white-red patches on the oral mucosa. Often mistaken for leukoplakia or erythroleukoplakia due to their appearance, these lesions display nonhomogeneous textures featuring combinations of white and red hyperplastic or nodular surfaces. Predominant locations for such lesions include the tongue, retro-angular mucosa, and buccal mucosa. This paper aims to investigate the potential influence of specific anatomical locations, retro-angular mucosa, on the development and occurrence of CHC. By examining the relationship between risk factors, we present an approach based on machine learning (ML) to predict the location of CHC occurrence. In this way, we employ Gradient Boosting Regression (GBR) to classify CHC lesion locations based on important risk factors. This estimator can serve both research and diagnostic purposes effectively. The findings underscore that the proposed ML technique can be used to predict the occurrence of CHC in retro-angular mucosa compared to other locations. The results also show a high rate of accuracy in predicting lesion locations. Performance assessment relies on Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R-squared (R2), and Mean Absolute Error (MAE), consistently revealing favorable results that underscore the robustness and dependability of our classification method. Our research contributes valuable insights to the field, enhancing diagnostic accuracy and informing treatment strategies.

Enzalutamide or Abiraterone Acetate With Prednisone in the Treatment of Metastatic Castration-resistant Prostate Cancer in Real-life Clinical Practice: A Long-term Single Institution Experience.

BACKGROUND/AIM: Enzalutamide (ENZ) and abiraterone acetate with prednisone (AAP) represent novel hormonal therapies used in the treatment of metastatic castration-resistant prostate cancer (mCRPC). The aim of the study was to assess the long-term outcome of mCRPC patients treated with ENZ or AAP in real-life clinical practice. PATIENTS AND METHODS: The outcomes of 337 mCRPC patients treated with ENZ or AAP were retrospectively analysed. RESULTS: Median radiographic progression-free (rPFS) and overall survival (OS) of patients treated in the first line (pre-chemotherapy) was 13.89 (95% CI=12.40-16.80) and 31.02 (95% CI=24.27-37.44) months vs. 10.97 (95% CI=8.97-14.82) and 26.57 (95% CI=15.97-33.92) months for those treated in the second line (post-chemotherapy). We found inferior survival for patients with synchronous metastases, high Gleason score (GS) and visceral metastases. CONCLUSION: The efficacy of both ENZ and AAP in mCRPC patients is herein confirmed. Synchronous metastases, high GS and visceral metastases were identified as significant adverse prognostic factors.

Assessment of Prostate Carcinoma Aggressiveness: Relation to 68Ga-PSMA-11-PET/MRI and Gleason Score.

BACKGROUND/AIM: To test the correlation of 68Ga-PSMA-11 uptake and the expression of PSMA (prostatic specific membrane antigen) with the Gleason score, apparent diffusion coefficient (ADC) and pharmacokinetic parameters obtained from dynamic contrast agent-enhanced MRI/PET. PATIENTS AND METHODS: Forty newly diagnosed, therapy naïve patients with prostatic carcinoma (PC) (mean age of 56.7, range=34-79), who were referred for 68Ga-PSMA-11-PET/MRI for primary staging and had undergone radical prostatectomy (RAPE) were included in this prospective study. Their blood samples were tested for serum levels of prostate-specific antigen (PSA) and proPSA. The patients' prostates were evaluated using whole-mount sections, which helped determine the extent and grade of the tumor; tests were performed to determine immunohistochemical PSMA expression. RESULTS: A correlation between PSMA expression and the accumulation of 68Ga-PSMA-11 was found using the Spearman correlation coefficient (p=0.0011). A stronger correlation was found between Gleason patterns 3 or 4 and PSMA expression (p=0.06). Furthermore, the correlation of Gleason score with the overall 68Ga-PSMA-11 accumulation within the tumor or non-tumor tissue was found to be significant (p=0.0157). A significant relation was found only with the Kep elimination rate constant, which was stronger in Gleason pattern 4 than in Gleason pattern 3. A weaker correlation was found between the accumulation of 68Ga-PSMA-11 and Ktrans in Gleason pattern 4: the most significant relation being between ADCmin and Gleason pattern 3 and 4 (p=0.0074). The total size of the tumor correlated with levels of proPSA (p<0.0001), and its extra prostatic extension correlated with levels of proPSA (p<0.0001). CONCLUSION: 68Ga-PSMA-11 correlates well with the expression of PSMA. Gleason pattern 3 and 4 had a higher correlation with 68Ga-PSMA-11 levels than did Gleason pattern 5. Either no correlation, or a weak correlation, was established with pharmacokinetics.

Oncogenic Fusions in Gliomas: An Institutional Experience.

BACKGROUND/AIM: Gliomas are primary malignancies of the central nervous system (CNS). High-grade gliomas are associated with poor prognosis and modest survival rates despite intensive multimodal treatment strategies. Targeting gene fusions is an emerging therapeutic approach for gliomas that allows application of personalized medicine principles. The aim of this study was to identify detectable fusion oncogenes that could serve as predictors of currently available or newly developed targeted therapeutics in cross-sectional samples from glioma patients using next-generation sequencing (NGS). PATIENTS AND METHODS: A total of 637 patients with glial and glioneuronal tumours of the CNS who underwent tumour resection between 2017 and 2020 were enrolled. Detection of fusion transcripts in FFPE tumour tissue was performed by a TruSight Tumour 170 assay and two FusionPlex kits, Solid Tumour and Comprehensive Thyroid and Lung. RESULTS: Oncogene fusions were identified in 33 patients. The most common fusion was the KIAA1549-BRAF fusion, detected in 13 patients, followed by FGFR fusions (FGFR1-TACC1, FGFR2-CTNNA3, FGFR3-TACC3, FGFR3-CKAP5, FGFR3-AMBRA1), identified in 10 patients. Other oncogene fusions were also infrequently diagnosed, including MET fusions (SRPK2-MET and PTPRZ1-MET) in 2 patients, C11orf95-RELA fusions in 2 patients, EGFR-SEPT14 fusion in 2 patients, and individual cases of SRGAP3-BRAF, RAF1-TRIM2, EWSR1-PALGL1 and TERT-ALK fusions. CONCLUSION: The introduction of NGS techniques provides additional information about tumour molecular alterations that can aid the multimodal management of glioma patients. Patients with gliomas positive for particular targetable gene fusions may benefit from experimental therapeutics, enhancing their quality of life and prolonging survival rates.

The Role of Serum Tumor Markers in Follow-up After Surgical Treatment of Malignant Lung Tumors.

AIM: The aim of this study was to evaluate the utility of selected tumor markers for the detection of lung cancer recurrence during follow-up. PATIENTS AND METHODS: The study group consisted of 109 patients and 109 healthy controls. The following biomarkers were selected: Carcinoembryonic antigen; cytokeratin fragment 19; neuron-specific enolase; tissue polypeptide-specific antigen; cytokeratin fragments 8, 18 and 19; insulin-like growth factor 1; pro-gastrin-releasing peptide; and 25-hydroxyvitamin D. The biomarkers were assessed individually or using a multivariate analysis. RESULTS: Carcinoembryonic antigen [area under the receiver operating characteristics curve (AUC)=0.6857, p<0.0001] and cytokeratin fragment 19 (AUC=0.6882, p<0.0001) proved best in detecting relapse. The multivariate model indicated insulin-like growth factor 1 (p=0.0006, AUC=0.6225) as the third most useful biomarker. The multivariate model using these three markers achieved the best AUC value of 0.7730 (p=0.0050). CONCLUSION: We demonstrated that carcinoembryonic antigen and cytokeratin fragment 19 play a key role in the detection of lung cancer recurrence. A multivariate approach can increase the effectiveness of detection.

BAI1 as a Prognostic Marker of Clear Cell Renal Cell Carcinoma (ccRCC).

BACKGROUND/AIM: The treatment of advanced clear cell renal cell carcinoma (ccRCC) is based on stratification of patients according to prognosis (favorable, intermediate, and poor). The aim of the study was to improve prognostication by biomarkers involved in angiogenesis. PATIENTS AND METHODS: The study group consisted of 20 patients who underwent surgery for ccRCC. Gene expression analysis was peformed on a set of matched (primary tumor, metastasis, n=20+20) FFPE tissue samples. An additional analysis was done on expression data of 606 patients obtained from the TCGA Kidney Clear Cell Carcinoma (KIRC) database. Quantitative estimation of mRNA of selected genes (TaqMan human Angiogenesis Array, 97 genes) was performed by a real-time RT-PCR method with TaqMan® arrays. RESULTS: Using the Cox regression model, 4 genes (PDGFB, FGF4, EPHB2 and BAI1) were identified whose expression was related to progression-free interval (PFI). Further analysis using the Kaplan Meier method conclusively revealed the relationship of BAI1 expression to prognosis (both datasets). Patients with higher BAI1 expression had significantly shorter PFI and overall survival. CONCLUSION: We showed that tumor tissue BAI1 expression level is a prognostic marker in ccRCC. Therefore, this gene might be involved in a prognostic panel to improve scoring systems on which the management of metastatic ccRCC patients is based.

The Use of CT Pattern in Differentiating Non-invasive, Minimally Invasive and Invasive Variants of Lung Adenocarcinoma.

BACKGROUND/AIM: This study determined whether computed tomography (CT) is an appropriate means by which to differentiate non-invasive and minimally invasive forms of pulmonary adenocarcinoma from the invasive variant. PATIENTS AND METHODS: A total of 64 patients (38 men and 26 women, aged 42-76, mean age 64), who underwent surgery for pulmonary adenocarcinoma and a chest CT no less than 1 month before surgery, were included in the study. Lesions exhibiting ground glass opacity or ground glass opacity with a solid component of 5 mm or smaller, were defined as minimally invasive or non-invasive adenocarcinomas. CT findings were correlated with histopathological examination. RESULTS: Distinguishing minimally invasive and non-invasive adenocarcinoma from invasive adenocarcinoma using CT was achieved with a sensitivity of 77.7%, a specificity of 97.8%, a positive predictive value of 93.3%, and a negative predictive value of 91.8%. CONCLUSION: CT can be useful in assessing the degree of invasiveness of pulmonary adenocarcinoma and is a potential tool for the individualization of treatment.

Prostate Cancer Diagnostic Algorithm as a "Road Map" from the First Stratification of the Patient to the Final Treatment Decision.

The diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a "road map": from initial patient stratification to the final decision regarding treatment. The algorithm is based on a review of the current literature combined with our own experience. Diagnostic algorithms are a feature of an advanced healthcare system in which all steps are consciously coordinated and optimized to ensure the proper individualization of the treatment process. The prostate cancer diagnostic algorithm was created using the prostate specific antigen and in particular the Prostate Health Index in the first line of patient stratification. It then continued on the diagnostic pathway via imaging techniques, biopsy, or active surveillance, and then on to the treatment decision itself. In conclusion, the prostate cancer diagnostic algorithm presented here is a functional tool for initial patient stratification, comprehensive staging, and aggressiveness assessment. Above all, emphasis is placed on the use of the Prostate Health Index (PHI) in the first stratification of the patients as a predictor of aggressiveness and clinical stage of prostrate cancer (PCa). The inclusion of PHI in the algorithm significantly increases the accuracy and speed of the diagnostic procedure and allows to choose the optimal pathway just from the beginning. The use of advanced diagnostic techniques allows us to move towards to a more advanced level of cancer care. This diagnostics algorithm has become a standard of care in our hospital. The algorithm is continuously validated and modified based on our results.

Prognostic Role for CYFRA 21-1 in Patients With Advanced-stage NSCLC Treated With Bevacizumab Plus Chemotherapy.

AIM: To investigate potential associations between selected oncomarkers [carcinoembryonic antigen (CEA), C-terminus of cytokeratin 19 (CYFRA 21-1, CYFRA), and squamous cell carcinoma antigen (SCC)] and outcomes in patients with NSCLC treated with bevacizumab plus chemotherapy. PATIENTS AND METHODS: We retrospectively analysed 105 patients with NSCLC from the Czech TULUNG registry treated at University Hospital in Pilsen with bevacizumab plus chemotherapy. Response to therapy was tested by Fisher's exact test. Survival statistics were evaluated using the Kaplan-Meier method and Cox analysis. RESULTS: Only normal values of CYFRA (not CEA or SCC) were associated with significantly better overall and progression-free survival in univariate analysis. We also observed a trend for a better disease control rate in patients with normal levels of CYFRA. In a multivariate Cox model, only CYFRA was associated with significantly better overall but not progression-free survival. CONCLUSION: In our retrospective study, we point out the possibility of using CYFRA as a prognostic marker in patients with NSCLC treated with chemotherapy plus bevacizumab.

Prognostic Factors After Surgical Treatment of Liver Metastases from Breast Cancer - 19 Years of Experience.

BACKGROUND/AIM: The aim of this study was to determine the importance of surgical treatment, utility of hormone receptor status and selected biomarkers in the prognosis of patients with liver metastases from breast cancer (BCLM). PATIENTS AND METHODS: Thirty female underwent surgery for BCLM between 1/2000 and 1/2019. RESULTS: The type of surgery (resection/radiofrequency ablation) had no impact on overall survival (OS) - (p=0.894). Having more than one BCLM (p=0.003), expression of human epidermal receptor 2 in metastases (p=0.034), as well as an elevated presurgical level of carbohydrate antigen 19-9 (p=0.017) and postsurgical thymidine kinase (p=0.034) were negative prognostics factor for recurrence-free survival. The factors affecting OS included the number of liver procedures (p=0.021), the degree of proliferative activity (p=0.008) and elevated postsurgical carcinoembryonic antigen level (p=0.038). CONCLUSION: The type of surgery had no impact on OS. Markers and hormonal status of liver metastases are important factors affecting prognosis.

Prognostic Significance of Lymph Node Examination by the OSNA Method in Lung Cancer Patients-Comparison with the Standard Histopathological Procedure.

The aim of the study was to compare the prognostic significance of lymph node status of patients with lung cancer analyzed by three different methods: hematoxylin and eosin (H&E), immunohistochemistry of cytokeratin 19 (IHC CK19), and One-Step Nucleic Acid Amplification (OSNA). The clinical relevance of the results was evaluated based on relation to prognosis; the disease-free interval (DFI) and overall survival (OS) were analyzed. During radical surgical treatment, a total of 1426 lymph nodes were obtained from 100 patients, creating 472 groups of nodes (4-5 groups per patient) and examined by H&E, IHC CK19 and OSNA. The median follow-up was 44 months. Concordant results on the lymph node status of the H&E, IHC CK19 and OSNA examinations were reported in 78% of patients. We recorded shorter OS in patients with positive results provided by both OSNA and H&E. The study demonstrated a higher percentage of detected micrometastases in lymph nodes by the OSNA method. However, the higher sensitivity of the OSNA, with the cut-off value 250 copies of mRNA of CK19/µL, resulted in a lower association of OSNA positivity with progress of the disease compared to H&E. Increasing the cut-off to 615 copies resulted in an increase in concordance between the OSNA and H&E, which means that the higher cut-off is more relevant in the case of lung tumors.

Outcomes and Prognostic Factors Following Surgical Treatment of Pulmonary Metastases from Colorectal Carcinoma.

BACKGROUND/AIM: The lungs are the second most common site of cancer dissemination. The aim of this study was to analyze a cohort of patients operated for pulmonary metastases from colorectal carcinoma over a period of 18 years. PATIENTS AND METHODS: In a group of 104 patients, relations were sought between overall survival or disease-free survival and preoperative levels of selected biomarkers, number of metastases and the condition of the intrathoracic lymphatic nodes. Median observation period was 63 months. RESULTS: The 5-year survival rate was 54.3%. Risk of disease progression and risk of death increases in case of occurrence of 2 or more metastases, affection of intrathoracic lymph nodes and levels of CA 19-9, TPS or CEA above cut-off value. CONCLUSION: Prognostic factors that determine overall survival as well as disease-free survival are the number of metastases, the condition of intrathoracic lymphatic nodes and the preoperative levels of biomarkers.

The Level of Preoperative Plasma KRAS Mutations and CEA Predict Survival of Patients Undergoing Surgery for Colorectal Cancer Liver Metastases.

Colorectal cancer (CRC) belongs to the most common cancers. The liver is a predominant site of CRC dissemination. Novel biomarkers for predicting the survival of CRC patients with liver metastases (CLM) undergoing metastasectomy are needed. We examined KRAS mutated circulating cell-free tumor DNA (ctDNA) in CLM patients as a prognostic biomarker, independently or in combination with carcinoembryonic antigen (CEA). Thereby, a total of 71 CLM were retrospectively analyzed. Seven KRAS G12/G13 mutations was analyzed by a ddPCR™ KRAS G12/G13 Screening Kit on QX200 Droplet Digital PCR System (Bio-Rad Laboratories, Hercules, CA, USA) in liver metastasis tissue and preoperative and postoperative plasma samples. CEA were determined by an ACCESS CEA assay with the UniCel DxI 800 Instrument (Beckman Coulter, Brea, CA, USA). Tissue KRAS positive liver metastases was detected in 33 of 69 patients (47.8%). Preoperative plasma samples were available in 30 patients and 11 (36.7%) were KRAS positive. The agreement between plasma- and tissue-based KRAS mutation status was 75.9% (22 in 29; kappa 0.529). Patients with high compared to low levels of preoperative plasma KRAS fractional abundance (cut-off 3.33%) experienced shorter overall survival (OS 647 vs. 1392 days, p = 0.003). The combination of high preoperative KRAS fractional abundance and high CEA (cut-off 3.33% and 4.9 µg/L, resp.) best predicted shorter OS (HR 13.638, 95%CI 1.567-118.725) in multivariate analysis also (OS HR 44.877, 95%CI 1.59-1266.479; covariates: extend of liver resection, biological treatment). KRAS mutations are detectable and quantifiable in preoperative plasma cell-free DNA, incompletely overlapping with tissue biopsy. KRAS mutated ctDNA is a prognostic factor for CLM patients undergoing liver metastasectomy. The best prognostic value can be reached by a combination of ctDNA and tumor marker CEA.

Biobanks in the era of big data: objectives, challenges, perspectives, and innovations for predictive, preventive, and personalised medicine.

Biobanking is entering the new era-era of big data. New technologies, techniques, and knowledge opened the potential of the whole domain of biobanking. Biobanks collect, analyse, store, and share the samples and associated data. Both samples and especially associated data are growing enormously, and new innovative approaches are required to handle samples and to utilize the potential of biobanking data. The data reached the quantity and quality of big data, and the scientists are facing the questions how to use them more efficiently, both retrospectively and prospectively with the aim to discover new preventive methods, optimize treatment, and follow up and to optimize healthcare processes. Biobanking in the era of big data contribute to the development of predictive, preventive, and personalised medicine, for every patient providing the right treatment at the right time. Biobanking in the era of big data contributes to the paradigm shift towards personalising of healthcare.

Association of miR-125b, miR-17 and let-7c Dysregulations With Response to Anti-epidermal Growth Factor Receptor Monoclonal Antibodies in Patients With Metastatic Colorectal Cancer.

BACKGROUND/AIM: MicroRNAs (miRs) play an important role in the regulation of cancer-related processes and are promising candidates for cancer biomarkers. The aim of the study was to evaluate the association of response to anti-EGFR monoclonal antibodies (mAbs) with selected miR expression profiles, including miR-125b, let-7c, miR-99a, miR-17, miR-143 and miR-145 in metastatic colorectal cancer (mCRC) patients. PATIENTS AND METHODS: This retrospective study included 46 patients with mCRC harbouring wild-type RAS gene treated with cetuximab or panitumumab combined with chemotherapy in first- or second-line therapy. The miR expression was assessed using qRT-PCR. RESULTS: Down-regulation of miR-125b and let-7c and up-regulation of miR-17 were found in the tumour tissue (p=0.0226, p=0.0040, p<0.0001). Objective response rate (ORR) was associated with up-regulation of miR-125b (p=0.0005). Disease control rate (DCR) was associated with up-regulation of miR-125b and let-7c (p=0.0383 and p=0.0255) and down-regulation of miR-17 (p=0.0464). MiR-125b showed correlation with progression-free and overall survival (p=0.055 and p=0.006). CONCLUSION: The results show that up-regulation of miR-125b is associated with higher ORR and DCR and longer survival; let-7c up-regulation and miR-17 down-regulation are associated with higher DCR in mCRC patients treated with anti-EGFR mAbs.