Search Results (316)

Background/Objectives: Appropriate biomarkers are necessary for early diagnosis and multidisciplinary treatment of pancreatic ductal adenocarcinoma (PDAC). In recent years, the clinical utility of circulating tumor cells (CTC) as biomarkers for various can-cers has been reported; however, their detection rate in PDAC remains low, and clinical evidence is not yet established. CTC detection methods with high reliability and per-formance are essential for clarifying the importance of CTC in patients with PDAC. Methods: A total of 5 mL peripheral blood samples were collected from 38 patients newly diagnosed with PDAC and 17 healthy controls. Negatively enriched cells were immunofluorescently stained with EpCAM-phycoerythrin and cell surface vi-mentin-fluorescein isothiocyanate (CSV). Images were automatically captured using an all-in-one fluorescence microscope. Cellular regions were detected from these images, and the average luminance of the cellular regions was calculated. A total of 9086 and 1071 cell images were obtained from patients with PDAC and healthy controls, respec-tively. Results: In the EpCAM assay, a threshold that included 95% of healthy individuals was optimal for distinguishing patients with PDAC from healthy controls, with a sensi-tivity, specificity, and area under the curve of 0.74, 0.76, and 0.84, respectively. At this threshold, the CTC-positivity rate in patients with PDAC was 76.3%. Conversely, the CSV assay failed to demonstrate a valid threshold to distinguish patients with PDAC from healthy controls. No significant differences were found between CTC and clini-copathological features among patients with PDAC. Conclusions: The method using high-resolution image scanning has the potential to identify CTC with greater objectiv-ity by quantifying cell luminance values. Full article

Background/Objectives: To elucidate the differential transcriptional and intercellular signaling features of tumor components across various cancers, we conducted a comparative analysis using single-cell RNA sequencing (scRNA-seq). This technology enables detailed characterization of tumor ecosystems and may explain variations in tumor behavior among distinct cancer types. Methods: We analyzed publicly available scRNA-seq datasets (GEO) from seven cancer types—pancreatic ductal adenocarcinoma (PDAC), hepatocellular carcinoma (HCC), esophageal squamous cell carcinoma (ESCC), breast cancer (BC), thyroid cancer (TC), gastric cancer (GC), and colorectal cancer (CRC)—to define their unique molecular characteristics and intercellular interactions. Results: PDAC displayed a distinct tumor microenvironment (TME) dominated by myeloid cells (~42%), including abundant CXCR1/CXCR2-expressing tumor-associated neutrophils (TANs) that preferentially interacted with immune rather than cancer cells. The competitive receptor ACKR1 was minimally expressed on endothelial cells, consistent with PDAC hypo-vascularity. In HCC, tumor cells lacked EPCAM and expressed complement and stem cell markers; cancer-associated fibroblasts (CAFs) were scarce, and stellate cells expressed the pericyte marker RGS5. CAFs were abundant in ESCC and BC, with IGF1/2 expression, while in GC, these markers were uniquely found in plasma cells. Since BC and GC subtypes exhibit distinct TME patterns, it is necessary to perform subtype-specific analyses for these cancers. TC showed high expression of tumor-suppressor genes, including HOPX, in tumor cells. Differential interactions and the presence of “dominant signaling cell populations “ with dominant outgoing signals may underlie the heterogeneity in tumor aggressiveness across these cancers. Conclusions: Comparative scRNA-seq analysis of multiple cancers reveals distinct tumor phenotypes and cell–cell communication patterns, offering insights into the molecular architecture of human solid tumors. Full article

Background/Objectives: Cervical Pap smears are routinely used to detect cellular abnormalities as a cervical cancer screening tool and to assess the presence of HPV for risk stratification of the disease. Here, we aimed to extend the applications of this sampling procedure by combining it with multicolor flow cytometry to characterize cell populations across cervical cancer disease stages. Methods: Cervical Pap smears from 30 patients with various disease stages ranging from normal to intraepithelial neoplasia up to treated cancers were analyzed as biofluids using multicolor flow cytometry. Individual samples were evaluated, and statistical analyses were performed over all sample stages. Cancer cell lines (CaSki, SiHa, HeLa, A549, U2OS) were examined as tumor cell controls. Results: Cervical biofluids were subdivided into cell populations according to their scattering properties and the expression of specific biomarkers: EpCAM and cytokeratin 8 for epithelial cells from tumors as well as healthy ectocervical and endocervical regions, and CD45 for immune cells. Discrimination of tumor cells was facilitated with cancer cell lines. Statistical analysis revealed that the composition of cell populations differs among disease stages, whereas treated cancer samples were consistently associated with a reduction in squamous epithelial cells and an increase in immune cells compared to normal samples. Conclusions: Herein, we identified the major cell populations in cervical biofluid samples and demonstrated that this method can detect changes in the cellular composition across different disease stages. This approach could be further exploited in cancer research and potentially serve as a companion diagnostic tool in tumor development, progression and during treatment. Full article

Background: The detection of circulating tumor cells (CTCs) holds significant promise for the diagnosis and monitoring of lung cancer (LC). However, the clinical utility of CTCs is limited by the heterogeneity of their phenotypes and the shortcomings of existing detection methods, which often rely on epithelial markers like EpCAM. DNA aptamers offer a promising alternative due to their high affinity, stability, and ability to recognize diverse cancer-specific biomarkers. Methods: This study utilized DNA aptamers LC-17 and LC-18, previously selected against primary lung tumor tissue, to isolate and detect CTCs in the peripheral blood of 43 non-small cell lung cancer (NSCLC) patients. Mass spectrometry (LC-MS/MS) was employed to identify the target proteins of aptamer LC-17. CTCs from patients’ blood and healthy donors were isolated via filtration after erythrocyte and lymphocyte lysis and stained with FAM-labeled LC-17 and LC-18 aptamers for detection using fluorescence and light microscopy. Results: Mass spectrometry identified neutrophil defensin 1 (DEFA1) and peroxiredoxin-2 (PRDX2) as the primary protein targets of aptamer LC-17 in CTCs, both of which were absent in healthy donor samples. CTC enumeration revealed statistically significant correlations between elevated CTC counts (>3 cells/4 mL blood) and advanced primary tumor size (T4 vs. T1–T3, p = 0.012), extensive regional lymph node metastasis (N3 vs. N1–N2, p = 0.014), and shorter overall survival (median 24 vs. 32 months, p < 0.05). Conclusions: The developed aptamer-based liquid biopsy method effectively captures heterogeneous CTC populations independent of EpCAM expression. The strong correlation of CTC counts with disease progression and survival underscores their clinical relevance as a prognostic biomarker in NSCLC. This approach presents a viable, non-invasive tool for disease monitoring and stratification of NSCLC patients, with potential for integration into clinical practice. Full article

High-grade serous ovarian cancer (HGSOC) is an aggressive malignancy which is often treated with platinum-based chemotherapy and PARP inhibitors (PARPi). However, PARPi resistance remains a major clinical challenge, necessitating alternative therapeutic strategies. In this study, we establish the first known patient-derived organoid models directly from PARPi-resistant HGSOC and demonstrate that they preserve the original tumor architecture and key biomarkers (EpCAM, CA125, PAX8, HER2, MEK1/2, Cyclin E1), thus providing unique preclinical models for drug testing. These organoids were used to evaluate lurbinectedin in comparison with standard carboplatin and paclitaxel. While lurbinectedin showed comparable apoptotic effects to paclitaxel and superior activity to carboplatin, it induced chromosomal breaks to different extents in different cell lines, suggesting a distinct mechanism of action. Importantly, this work does not advocate for lurbinectedin as a superior therapy but, rather, demonstrates the utility of organoid models in uncovering drug-specific genomic effects. Our findings underscore the critical need for expanded testing using clinically relevant models to identify more effective strategies against PARPi-resistant disease. Full article

Background and Objectives: Colorectal cancer (CRC) is the third most diagnosed tumor type and the second leading cause of cancer-related mortality. Despite recent improvements in the clinical management of CRC patients both before and after surgery, disease recurrence remains common, with an incidence of about 20–30% within 5 years. Current tissue biopsy techniques are invasive and inadequate for assessing tumor heterogeneity or capturing real-time disease dynamics. In contrast, liquid biopsy offers a promising, minimally invasive alternative. This study aimed to evaluate extracellular vesicle (EV)-associated protein markers, detected through super-resolution microscopy, as potential indicators of recurrence in CRC patients. Methods: We employed a novel liquid biopsy approach based on the super-resolution imaging (dSTORM) of specific protein markers carried by EVs isolated from the plasma of CRC patients. We analyzed combinations of both surface and intravesicular proteins, including EpCAM, PD-L1, CD81, IL-6, and Cyclin D1. Results: Specific combinations of EV-associated markers were able to distinguish patients with recurrence from those without residual disease. Additionally, we observed correlations between some marker profiles and tumor stage or lymph node involvement. No association was found with mismatch repair system status. Conclusions: To our knowledge, this is the first study to propose the use of EV-bound proteins for recurrence detection in CRC using super-resolution microscopy within a liquid biopsy framework. These findings support the potential of this approach as a non-invasive tool for CRC monitoring. Full article

Multiple markers exist for breast cancer stem cells (CSCs), which are believed to represent the phenotypes of various CSC types and/or states. The relationship between each CSC subpopulation/state and the primary hallmarks of cancer has not been sufficiently clarified. In this study, six CSC markers (CD44^hi/CD24^lo, CD24, Ep-CAM, ALDH1, CD10, and BMI1) were assessed in a surgical cohort of 73 breast cancer patients. The expression of a single or multiple CSC markers was correlated with clinicopathological parameters, including markers of immune evasion, proliferation, epithelial–mesenchymal transition (EMT), and survival. All CSC phenotypes, except for CD10, correlated with markers indicative of higher proliferation. The CD44^hi/CD24^lo phenotype correlated with markers of EMT and PD-L1 expression, unlike ALDH1^hi. Both Ep-CAM^hi and CD24^hi breast cancer were associated with indicators of immune evasion, including PD-L1 expression, and the infiltration of FOXP3+ and PD-1+ tumor-infiltrating lymphocytes (TIL). While the CD44^hi/CD24^lo, Ep-CAM^hi, and ALDH1^hi phenotypes correlated with shorter overall survival (OS), CD24^hi correlated with reduced disease-free survival (DFS). Interestingly, among all tested CSC markers, the CD44^hi/CD24^lo-ALDH1^hi combination phenotype correlated with the worst DFS (HR 2.8, p = 0.014 in univariate/multivariate analysis) and OS (p < 0.001, HR 6.4 in univariate and 5.4 in multivariate analysis). A side-by-side comparison of multiple CSC markers demonstrated the differential linkage of CSC phenotype/state with distinct features of breast cancer. This comparison demonstrates the advantage of the CD44^hi/CD24^lo-ALDH1^hi combination marker for prognostication, especially after neoadjuvant chemotherapy. In the future, distinct markers of CSCs can hopefully be leveraged to trace/monitor different disease characteristics or treatment outcomes. Full article

Background/Objectives: Breast cancer is the most commonly diagnosed cancer worldwide, with high rates of distant metastasis. While circulating tumor cells (CTCs) are the disseminatory units of metastasis and are indicative of a poor prognosis, CTC heterogeneity within individual patients, among breast cancer subtypes, and between primary and metastatic tumors within a patient obscures the relationship between CTCs and disease progression. EpCAM, its homolog Trop2, and a pan-Cytokeratin marker were evaluated to determine their contributions to CTC presence and clustering over the study period. We conducted a systematic longitudinal analysis of 51 breast cancer patients during the course of their treatment to deepen our understanding of CTC contributions to breast cancer progression. Methods: 272 total blood samples from 51 metastatic breast cancer (mBC) patients were included in the study. Patients received diverse treatment schedules based on discretion of the practicing oncologist. Patients were monitored from July 2020 to March 2023, with blood samples collected at scheduled care appointments. Nucleated cells were isolated, imaged, and analyzed using Rarecyte^® technology, and statistical analysis was performed in R using the lmerTest and lme4 packages, as well as in Graphpad Prism version 10.4.1. Results: Both classical CTCs (DAPI+, EpCAM+, CK+, CD45– cells) and Trop2+ CTCs were detected in the blood of breast cancer patients. A high degree of correlation was found between CTC biomarkers, and CTC expression of EpCAM, Trop2, and the presence of CD45+ cells, all predicted cluster size, while Pan-CK did not. Furthermore, while analyses of biomarkers by receptor status revealed no significant differences among HR+, HER2+, and TNBC patients, longitudinal analysis found evidence for discrete trajectories of EpCAM, Trop2, and clustering between HR+ and HER2+ cancers after diagnosis of metastasis. Conclusions: Correlation and longitudinal analysis revealed that EpCAM+, Trop2+, and CD45+ cells were predictive of CTC cluster presence and size, and highlighted distinct trajectories of biomarker change over time between HR+ and HER2+ cancers following metastatic diagnosis. Full article

Implantation studies are extremely important to solve reproductive problems since about 60% of abortions occur around this period. The 3D in vitro models emerge as closest to the in vivo structures and processes. Here, we constructed trophoblast Sw71-spheroids as implanting human blastocyst–like surrogates (BLS). The model is well-characterized, standardized, validated tool to study extravillous trophoblast (EVT) invasion/migration during implantation. A limitation is that it is a short-living 3D-culture that must be generated de novo. This study aimed to create and embed Sw71-spheroids in paraffin for permanent histological preparations. The main challenges were the micro-size and the preservation of the intact structure. The standardly generated compact and stable Sw71-spheroids were intact, with blastocyst-like morphology. Histological analysis showed preserved cell morphology, shape, and intact periphery of the embedded Sw71-spheroids. These were usable for immunohistochemistry(IHC) and expressed common EVT markers: EpCAM, HLA-C and and HLA-G. Our protocol for spheroid paraffin embedding is suitable for simultaneous histological analyses of several Sw71-spheroids. It might be further optimized to embed migrating/invading Sw71-BLS as snapshots of trophoblast implantation steps in permanent histological preparations for in depth IHC studies. Full article

Triple-negative breast cancer (TNBC) is a clinically and molecularly heterogeneous subtype defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression. In this study, tumor specimens from 104 TNBC patients were analyzed to characterize molecular and clinicopathological features and to assess the expression and therapeutic potential of four key surface markers: epidermal growth factor receptor (EGFR), epithelial cell adhesion molecule (EpCAM), tissue factor (TF), and trophoblast cell surface antigen (TROP2). Multiplex immunofluorescence (mIF) demonstrated elevated EGFR and TROP2 expression in the majority of samples. Significant positive correlations were observed between EGFR and TF, as well as between TROP2 and both TF and EpCAM. Expression analyses revealed increased EGFR and TF levels with advancing tumor stage, whereas EpCAM expression declined in advanced-stage tumors. TROP2 and TF expression were significantly elevated in higher-grade tumors. Additionally, EGFR and EpCAM levels were significantly higher in patients with elevated Ki-67 indices. Binding specificity assays using single-chain variable fragment (scFv-SNAP) fusion proteins confirmed robust targeting efficacy, particularly for EGFR and TROP2. These findings underscore the therapeutic relevance of EGFR and TROP2 as potential biomarkers and targets in TNBC. Full article

Background/Objective: Cancer stem cells (CSCs) are a self-renewing subpopulation within tumors that contribute to heterogeneity and resistance to conventional cancer therapies, including chemotherapy and radiotherapy. Despite growing interest in CSCs as therapeutic targets, effective compounds against these cells remain limited. This systematic review aims to assess the potential of metal-based coordination complexes as anti-CSC agents in preclinical models. Methods: A systematic literature search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Twenty-seven original in vitro studies were included, all evaluating the cytotoxic effects of metal-based compounds on cancer cell lines enriched with CSC subpopulations. To ensure methodological rigor, all articles underwent a critical appraisal by independent reviewers who resolved discrepancies through consensus, and only studies meeting predefined quality criteria were included. Results: Several metal complexes, particularly copper-based compounds, demonstrated significant cytotoxicity toward CSCs, mainly through the induction of apoptosis. Breast cancer was the most frequently studied tumor type. Many studies reported modulation of CSC-related markers, including EPCAM, CD44, CD133, CD24, SOX2, KLF4, Oct4, NOTCH1, ALDH1, CXCR4, and HES1, suggesting effects on CSC maintenance pathways. Most studies were conducted in the United Kingdom and relied on in vitro models. Conclusions: Metal coordination complexes, especially those containing copper, show promise as therapeutic agents targeting CSCs. However, further in vivo studies and mechanistic investigations are essential to advance their translational potential. Full article

Background: Lynch syndrome (LS) is an autosomal dominant disease caused by germline pathogenic variants in one of the DNA mismatch repair (MMR) genes (MLH1, MSH2, MSH6, and PMS2) or the EPCAM gene. LS patients harboring genetic variants in one of the MMR genes display a heterogeneous phenotype in terms of cancer penetrance (lifetime cancer risk) and expressivity (malignancies in gastrointestinal or other specific organs). Methods: DNA samples from the index cases of Family 1 and Family 2 were analyzed using a next-generation sequencing (NGS) multigene panel comprising 25 genes involved in major hereditary cancer predisposition syndromes. This NGS analysis revealed a variant of uncertain significance (VUS) in the PMS2 gene (NM_000535.7: c.184G>A; p.Gly62Arg) of both index cases, which was validated by Sanger sequencing. The structural and functional impact of this VUS was evaluated in silico using twelve different prediction tools and by immunohistochemical analysis of MMR proteins. Results: Based on the personal and family history of the two families, tumor pathology, and protein in silico analysis, the novel PMS2 gene variant described in this study may be associated with hereditary LS. Considering the low penetrance of PMS2 gene variants in LS-associated tumors and the intrafamilial variability of the associated clinical phenotypes, the multidisciplinary approach proposed in this study could significantly support the evaluation of suspected LS cases carrying PMS2 variants. Full article

Background: Rectal cancer (RC) patients with a clinical complete response (cCR) after neoadjuvant chemoradiotherapy (nCRT) may qualify for a watch-and-wait (W&W) approach. However, a 20–30% local tumor regrowth rate highlights challenges in identifying true responders. This study explores markers for future near-infrared fluorescence tumor imaging by endoscopy to differentiate responders and the effect of nCRT on their expression. Methods: RC samples (n = 51) were collected from both pre-treatment biopsies and corresponding post-treatment surgical specimens. Samples were categorized by treatment response and determined using tumor regression grade (TRG) scoring. Immunohistochemistry assessed the expression of CEA, EpCAM, EGFR, and c-MET in tumors and adjacent normal tissues. Expression levels were quantified using H-scores (0–3), combining the percentage and intensity of stained cells. Pre- and post-treatment H-scores were compared to evaluate the impact of nCRT. Results: CEA, EpCAM, and c-MET were overexpressed in tumor tissue as compared to adjacent healthy mucosa in 100% (51/51), 98.4% (50/51), and 92% (47/51) of tumor biopsies, respectively, while EGFR showed no overexpression. A tumor-to-normal (T/N) ratio ≥ 2 was considered sufficient for differentiation in molecular fluorescence imaging. In pre-treatment biopsy samples, c-MET showed the highest T/N expression ratio (53% of the samples ≥ 2), followed by CEA (26.3%) and EpCAM (16%). Following nCRT treatment, CEA and c-MET maintained a ≥ 2 differential expression in 45% of all samples, whereas EpCAM exhibited this difference in only 9.2% of cases. Neoadjuvant therapy even significantly improved the T/N expression ratio for CEA and c-MET (p < 0.01) and EpCAM (p < 0.05), while EGFR expression remained lower than adjacent normal tissue. Significant increases in all marker expressions were observed in minimal responders (TRG4/5, p < 0.01–0.001), while near-complete responders (TRG2) exhibited non-significant changes in CEA, c-MET, and EGFR expression. Conclusions: c-MET and CEA emerged as optimal tumor imaging targets, showing sustained differential expression after nCRT. In vivo fluorescence-guided endoscopy using probes against these markers could play a role in future clinical decision-making. Full article

Isthmin1 (ISM1) is a constitutively secreted cytokine produced by barrier tissues and different immune cell types. Importantly, ISM1 is also expressed by cells with a hematopoietic stem cell phenotype in the lung and plays a role during hematopoiesis. Under inflammatory conditions, ISM1 levels are also altered. Given that the intestine is one of the tissues with the highest ISM1 gene expression, in this work, we characterized the immunophenotype of ISM1-producing cells in the small intestine of uninfected or Salmonella Typhimurium-infected mice. We found a variety of ISM1+-expressing cells, including CD45+ cells, EpCAM+ cells, and, importantly, we also found different subsets of cells carrying hematopoietic stem cell markers (LSKs) expressing ISM1, and their frequency was perturbed during infection. Finally, we also found that isthmin1 is secreted into the intestinal lumen, and its concentration was increased during S. Typhimurium infection. Our findings suggest that increased luminal ISM1 secretion during mucosal infection may serve as a potential novel biomarker of pathogen-mediated inflammation. Full article

Designed ankyrin repeat protein (DARPin) Ec1, a small scaffold protein (18 kDa), binds with high affinity the epithelial cell adhesion molecule (EpCAM) that is overexpressed in several carcinomas. To enhance the targeted delivery of cytotoxic drugs using Ec1, we investigated the potential of fusing Ec1 with an albumin-binding domain (ABD) to improve its circulation time and decrease renal uptake. Two fusion proteins were created, Ec1-ABD, with the ABD at the C-terminus, and ABD-Ec1, with the ABD at the N-terminus. Both variants were labeled with ¹¹¹In. ABD-fused variants bound specifically to EpCAM-expressing cells with picomolar affinity. Adding human albumin reduced the affinity. This effect was more pronounced for Ec1-ABD; however, the affinity remained in the subnanomolar range. The position of the ABD did not influence the internalization rate of both variants by human cancer cells. In mouse models with human cancer xenografts, both variants demonstrated over 10-fold lower renal uptake compared to the Ec1. Tumor uptake of the ABD-fused variants was higher than the uptake of Ec1. ABD-Ec1 provided two-fold higher tumor uptake, indicating fusion with an ABD as a promising way to modulate the targeting properties of an Ec1-based construct. However, the effect of fusion depends on the order of the domains. Full article