Blood Samples Of Cancer Patients Research Articles

Hydrogen Sulfide-Induced Activatable Photodynamic Therapy Adjunct to Disruption of Subcellular Glycolysis in Cancer Cells by a Fluorescence-SERS Bimodal Iridium Metal-Organic Hybrid.

The practical application of photodynamic therapy (PDT) demands targeted and activatable photosensitizers to mitigate off-target phototoxicity common in "always on" photosensitizers during light exposure. Herein, a cyclometalated iridium complex-based activatable photodynamic molecular hybrid, Cy-Ir-7-nitrobenzofurazan (NBD), is demonstrated as a biomedicine for molecular precision. This design integrates a hydrogen sulfide (H2S)-responsive NBD unit with a hydroxy-appended iridium complex, Cy-Ir-OH. In normal physiological conditions, the electron-rich Ir metal center exerts electron transfer to the NBD unit, quenches the excited state dynamics, and establishes a PDT-off state. Upon exposure to H2S, Cy-Ir-NBD activates into the potent photosensitizer Cy-Ir-OH through nucleophilic substitution. This mechanism ensures exceptional specificity, enabling targeted phototherapy in H2S-rich cancer cells. Additionally, we observed that Cy-Ir-NBD-induced H2S depletion disrupts S-sulfhydration of the glyceraldehyde-3-phosphate dehydrogenase enzyme, impairing glycolysis and ATP production in the cellular milieu. This sequential therapeutic process of Cy-Ir-NBD is governed by the positively charged central iridium ion that ensures mitochondria-mediated apoptosis in cancer cells. Dual-modality SERS and fluorescence imaging validate apoptotic events, highlighting Cy-Ir-NBD as an advanced theranostic molecular entity for activatable PDT. Finally, as a proof of concept, clinical assessment is evaluated with the blood samples of breast cancer patients and healthy volunteers, based on their H2S overexpression capability through SERS and fluorescence, revealing Cy-Ir-NBD to be a promising predictor for PDT activation in advanced cancer phototherapy.

Isthmin-1 promotes growth and progression of colorectal cancer through the interaction with EGFR and YBX-1

While previous studies have indicated the involvement of Isthmin 1 (ISM1), a secreted protein, in cancer development, the precise mechanisms have remained elusive. In this study, we unveiled that ISM1 is significantly overexpressed in both the blood and tissue samples of colorectal cancer (CRC) patients, correlating with their poor prognosis. Functional experiments demonstrated that enforced ISM1 expression significantly enhances CRC proliferation, migration, invasion and tumor growth. Notably, our investigation reveals an interaction of ISM1 with epidermal growth factor receptor (EGFR), a member of the receptor tyrosine kinase (RTK) family of CRC cells. The binding of ISM1 triggered EGFR activation and initiate downstream signaling pathways. Meanwhile, intracellular ISM1 interacted with Y-box binding protein 1 (YBX1), enhancing its transcriptional regulation on EGFR. Furthermore, our research uncovered the regulation of ISM1 expression by the hypoxia-inducible transcription factor HIF-1α in CRC cells. Mechanistically, we identified HIF-1α as a direct regulator of ISM1, binding to a hypoxia response element on its promoter. This novel mechanism illuminated potential therapeutic targets, offering insights into restraining HIF-1α/ISM1/EGFR-driven CRC progression and metastasis.

Involvement of Total Antioxidant Activity and eNOS Gene rs1799983/ rs2070744 Polymorphisms in Breast Carcinogenesis

Globally, breast cancer is the common malignancy affecting women and understanding its associated molecular events could help in disease prevention and management strategies. The present study was set to investigate an association between total antioxidant capacity (TAC) and endothelial nitric oxide synthase (eNOS) polymorphisms with breast cancer. For this purpose, 100 subjects were participated in this work, including 50 female patients diagnosed with breast cancer recruited from Oncology hospital, Baghdad - Iraq and 50 healthy women as a control group. The concentration of antioxidants was measured in the serums collected from blood samples of breast cancer patients and healthy controls. While eNOS SNPs (rs1799983, G894T and rs2070744, T 786C) were assessed using TaqMan SNP genotyping and utilising genomic DNA extracted from the participants. The results showed that the antioxidants levels were significantly (P˂0.0001) reduced in blood samples of breast cancer patients in comparison to that of that healthy controls (0.144± 0.097 and 0.587±0.239 respectively). Additionally, the homozygous GG genotype G894T (rs1799983) could retain beneficial impact for the protection from breast cancer potential. While SNP genotyping results showed that both of the homozygous CC and heterozygous TC genotypes (rs2070744 T >C SNP) seem to contribute to the susceptibility of breast cancer development in the investigated set of patients. Overall, the present study findings suggest an association between reduced antioxidant capacity and eNOS gene polymorphisms in breast carcinogenesis.

Abstract 3749: The evaluation of expression level of Cxcl12 gene in peripheral blood samples of breast cancer patients

Abstract Breast cancer, like many other cancer types, is linked to the activation and overexpression of CXCR4. The overexpression of CXCR4 is associated with factors such as tumor growth, angiogenesis, increased metastasis, and therapeutic resistance. Similarly, CXCL12, a specific ligand for CXCR4, plays a significant role in tumorigenesis processes, including survival, migration, and microenvironmental interactions. The CXCL12/CXCR4 signaling pathway has been found to impact the development and progression of breast cancer, regulating proliferation, motility, and metastasis. Hence, molecules within the CXCL12/CXCR4 signaling pathway hold promise for determining breast cancer prognosis, treatment monitoring, and serving as therapeutic agents. The study, conducted at the Istanbul University Institute of Oncology, obtained ethical approval from the Istanbul Faculty of Medicine Ethics Committee. Genetic materials from 300 breast cancer patients and 150 control subjects underwent standard testing, matched based on crucial parameters. Real-time PCR with the MIC qPCR Cycler was statistically analyzed using GraphPad Prism (p < 0.05). Descriptive statistics were presented for categorical and quantitative variables, while the Kolmogorov-Smirnov test assessed the normal distribution of quantitative variables. Statistical comparisons between groups were performed using the Mann-Whitney U test and the Kruskal-Wallis test. was used for calculations. Notably, among the three genes—LASP1, CXCL12, and CXCR4—LASP1 exhibited the highest mean expression level at 11.64 with a considerable standard deviation of 11.80. In contrast, CXCL12 had a much lower mean expression level at 2.96 and a tighter distribution, and CXCR4 displayed the lowest mean expression level at 0.37 with a standard deviation of 0.74. The analysis of diagnostic groups indicated no significant differences in mean LASP1 and CXCL12 levels, but a significant variance in mean CXCR4 levels (p<0.001). Specifically, CXCR4 expression in group Breast and ovarian cancer was notably lower compared to Breast cancer, Bilateral Breast cancer, and Breast and Other cancer, while group Breast cancer exhibited significantly lower CXCR4 expression compared to groups Bilateral Breast cancer and Breast and Other cancer. However, there was no significant difference in CXCR4 expression between groups of Bilateral Breast cancer and Breast and Other cancer. These findings reveal distinct expression patterns of CXCR4 across diagnostic groups, suggesting potential implications for diagnostic categorization and underlying molecular pathways in breast cancer. Understanding these expression disparities could be crucial in deciphering the molecular intricacies influencing disease progression and treatment responses. Citation Format: Arash Adamnejad Ghafour, Seref Bugra Tuncer. The evaluation of expression level of Cxcl12 gene in peripheral blood samples of breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3749.

Abstract 5165: Development and validation of an assay for the characterization of SSTR2 expression on CTCs from liquid biopsies

Abstract Background: Expression of Somatostatin Receptor subtype 2 (SSTR2) is observed in multiple cancers, including breast and colorectal cancer. Its role as a prognostic or predictive marker is cancer-type dependent. Recently, there has been renewed interest in assessing this biomarker since it plays a critical role as a target for radiotherapeutics (peptide receptor radionuclide therapy - PRRT) in patients with neuroendocrine tumors (NETs). Blood-based liquid biopsies are a non-invasive tool with proven effectiveness in characterizing cancer biomarker expression in patients. In this study, we describe the development and validation of a novel assay to analyze circulating tumor cells (CTCs) for expression of SSTR2 using the RareCyte platform. Experimental Procedures: Using AccuCyte®, an unbiased density-based method for collecting nucleated cells from whole blood, we transferred nucleated cells to slides and stained for SSTR2, CD45, and CK/EpCAM to identify CTCs (CK+/EpCAM+, CD45-), and evaluate SSTR2 expression. Slides were imaged with CyteFinder®, an automated multiparameter immunofluorescent (IF) microscopy system that applies machine learning algorithms for rare cell identification. Both clinical and spike-in samples were used for assay validation. Single-cell SSTR2 mean fluorescence intensities (MFI) were analyzed to determine protein expression levels. Colorectal cancer with neuroendocrine features and Merkel cell cancer (neuroendocrine tumor of the skin) patient samples were evaluated for CTC enumeration and SSTR2 expression. Results: The assay’s performance metrics for SSTR2 expression were 90+% accuracy, 85% sensitivity, 100% specificity with repeatability and intermediate precision CVs of 14.4% and 16.4%, respectively. A small cohort of colorectal cancer (1) and Merkel cell cancer (2) patient blood samples were tested using the assay. All 3 patients had high CTC levels (300+ per 7.5 mL). The percentage of SSTR2-positive CTCs ranged from 20-60%, reflective of tumor heterogeneity. Conclusions: SSTR2 is an important target now in the advent of theranostics - PRRT. Prognostic and therapeutic implications of SSTR2 expression is an area of active clinical research. SSTR2 targeted therapeutics like 177Lu-dotatate illustrate the possible utility of SSTR2 as a predictive biomarker of treatment response. To date, most of the work has been focused on assessing SSTR2 on tissue. Herein, we show how a CTC platform can be adapted to assess a clinically relevant cell surface protein biomarker. This is now included as an important correlative in a clinical trial for Merkel Cell Cancer patients called iPRRT that is actively accruing (NCT05583708). Citation Format: Erin G. Bayer, Rachel N. Ponting, Ciara M. Kelly, Areeb Lutfi, Maaz K. Afghan, Arturo B. Ramirez, Pashtoon M. Kasi. Development and validation of an assay for the characterization of SSTR2 expression on CTCs from liquid biopsies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5165.

Abstract 7486: Development and analytic validation of an ARv7/PSMA dual biomarker circulating tumor cell assay

Abstract Background Prostate cancer drug targets and biomarkers may be investigated non-invasively on circulating tumor cells (CTCs) obtained via liquid biopsies. PSMA is an important drug target in prostate cancer, and ARv7 is a splice variant that confers resistance to second-generation androgen receptor inhibitors. In this study, we describe the development and analytic validation of a novel assay to quantify ARv7 and PSMA protein expression on CTCs. The assay was validated with blood samples from patients with Stage IV prostate cancer to demonstrate clinical feasibility. To our knowledge, a PSMA/ARv7 dual protein assay for CTCs has not previously been reported. Methods LNCaP (PSMA positive), PC3 (PSMA negative), 22Rv1 (ARv7 positive), and BT474 (ARv7 negative) cells were spiked into healthy donor blood to generate model CTCs. Nucleated cells were collected from these spike-in samples using the AccuCyte® sample preparation kit and spread onto microscope slides. Slides were fixed and stained with antibodies to cytokeratin, EpCAM, and CD45 to detect CTCs and exclude white blood cells (WBCs), and with PSMA and ARv7 to evaluate protein expression on identified CTCs. The slides were imaged with the CyteFinder® automated immunofluorescence scanning microscope that identifies CTCs for confirmation by trained reviewers based on machine learning algorithms and quantitatively measures biomarker signal mean fluorescence intensity (MFI). Results For ARv7/PSMA expression classification of the model CTCs, the dual biomarker assay showed analytic sensitivity of 83%/97% and specificity 98%/99%, yielding accuracy of 90.2%/97.9%, respectively. The dynamic range of MFI for both biomarkers was approximately three orders of magnitude. Inter-run reproducibility CV was 13.6% (ARv7) and 6.9% (PSMA). Slide repeatability mean CV was 11.1% (ARv7) and 12.0% (PSMA). Clinical feasibility of the assay was investigated in 9 progressing Stage IV prostate cancer patient blood samples. CTCs were identified in all clinical samples (median 4, range 1 - 384). Thresholds for biomarker positivity were established based on MFI measurements of positive and negative control cell lines. ARv7 positivity in clinical samples ranged from 33% to 100%, and PSMA positivity ranged from 0% to 75%. Conclusions We have developed a dual ARv7/PSMA assay that simultaneously measures protein expression of both biomarkers on individual CTCs. The assay is accurate and reproducible for the assessment of ARv7 and PSMA expression by liquid biopsy in clinical studies. Citation Format: Jon Ladd, Erin Bayer, Brock Bartels, Eric Kaldjian, Arturo Ramirez. Development and analytic validation of an ARv7/PSMA dual biomarker circulating tumor cell assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7486.

Abstract 6562: Comprehensive liquid biopsy: Multi-analyte evaluation of cellular and plasma components of blood in prostate cancer from a single blood collection tube

Abstract Background Liquid biopsy samples offer a non-invasive method for investigating drug targets and biomarkers in solid tumors. In this study, we describe a comprehensive liquid biopsy analysis of whole blood to identify circulating tumor cells (CTCs), large extracellular vesicles and CTC fragments, and CTC-white blood cell hybrids; quantify protein biomarker expression on CTCs; perform targeted mutation profiling on CTCs and cell-free DNA (cfDNA) from plasma; and analyze protein expression on white blood cells (WBCs) from a single 7.5 mL blood sample. This array of tests was applied to blood samples from patients with Stage IV prostate cancer to demonstrate clinical feasibility. Methods A novel dual biomarker CTC assay was developed to measure protein expression of PSMA and ARv7 on CTCs from stage IV prostate cancer patients. Nucleated cells from clinical samples were processed to microscope slides using AccuCyte®, an unbiased, density-based separation method that also allows for plasma collection for downstream analysis. Slides were fixed and stained with antibodies to cytokeratin, EpCAM, and CD45 to detect CTCs and exclude WBCs, and with PSMA and ARv7 to evaluate protein biomarker expression on identified CTCs. The slides were imaged with the CyteFinder® automated immunofluorescence scanning microscope that identifies CTCs for confirmation by trained reviewers and quantitatively measures protein mean fluorescence intensity (MFI) on any cells detected on the slides (CTCs, CTC-WBC hybrids, large extracellular vesicles and CTC fragments and WBCs). Individual CTCs and control pools of WBCs from clinical samples with at least 4 CTCs were picked using CytePicker®, a needle-based system used to isolate single cells. cfDNA was isolated from plasma removed during the AccuCyte® process using a QIAamp MinElute ccfDNA kit. Picked CTCs, WBC pools, and isolated ctDNA were sequenced using the OncoZoom Cancer HotSpot panel from Paragon Genomics. Results Nine progressing Stage IV prostate cancer patient blood samples were stained with a novel PSMA/ARv7 dual biomarker assay. CTCs were identified in all clinical samples (median 4, range 1 - 384). PSMA positivity in clinical samples ranged from 0% to 75%, and ARv7 positivity ranged from 33% to 100%, and. Additional analysis using QuPath was performed to determine PSMA/ARv7 protein expression on WBCs and CTC fragments. ctDNA analysis from 5 individual samples was compared to sequencing results from individual CTCs from the same samples. Conclusions Using a single 7.5 mL blood liquid biopsy, we can measure protein expression on enumerated CTCs and quantify these same protein biomarkers on WBCs and CTC fragments/oncosomes, determine the genetic makeup of the tumor through the sequencing of cfDNA, and monitor genetic mutations in intact CTCs in circulation. Citation Format: Jon Ladd, Erin Bayer, Brock Bartels, Arista Tischner, Rachel Ponting, Eric Kaldjian, Arturo Ramirez. Comprehensive liquid biopsy: Multi-analyte evaluation of cellular and plasma components of blood in prostate cancer from a single blood collection tube [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6562.

Impaired monocyte-derived dendritic cell phenotype in prostate cancer patients: A phenotypic comparison with healthy donors.

Dendritic cells (DCs) play a crucial role in immunity. Research on monocyte-derived DCs (Mo-DCs) cancer vaccines is in progress despite limited success in clinical trials. This study focuses on Mo-DCs generated from prostate cancer (PCA) patients, comparing them with DCs from healthy donors (HD-DCs). Mo-DCs were isolated from PCA patient samples, and their phenotype was compared to HD-DCs. Key parameters included monocyte count, CD14 expression, and the levels of maturation markers (HLA-DR, CD80, CD86) were assessed. PCA samples exhibited a significantly lower monocyte count and reduced CD14 expression compared to healthy samples (p ⟨ 0.0001). Additionally, PCA-DCs expressed significantly lower levels of maturation markers, including HLA-DR, CD80, and CD86, when compared to HD-DCs (p = 0.123, p = 0.884, and p = 0.309, respectively). The limited success of DC vaccines could be attributed to impaired phenotypic characteristics. These observations suggest that suboptimal characteristics of Mo-DCs generated from cancer patient blood samples might contribute to the limited success of DC vaccines. Consequently, this study underscores the need for alternative strategies to enhance the features of Mo-DCs for more effective cancer immunotherapies.

A novel early cancer detection approach for pancreatic cancer.

613 Background: Pancreatic adenocarcinoma (PDAC) is commonly diagnosed at advanced stages, leading to high mortality rates. Earlier detection of PDAC is associated with improved long-term survival, but effective population-level screening is not available. There is therefore an urgent need to improve early detection of PDAC. Wholomics has developed a PDAC-specific proprietary early detection test, using cancer-specific molecular signatures in peripheral blood. Methods: We conducted a retrospective analysis of serum samples from the Amsterdam UMC Liquid Biopsy Center. Three cohorts were included in this study: 1) A cohort of healthy control subjects, 2) patients with a histopathologically confirmed diagnosis of PDAC spanning stages I through IV, and 3) patients with a confirmed diagnosis of chronic pancreatitis. Peripheral blood samples of cancer patients were taken before treatment or surgery. Wholomics used its proprietary technology to quantitatively analyse all serum specimens. Disease-specific molecular signatures were identified and used to develop computational biomarkers specific to both pancreatic pathologies (chronic pancreatitis and pancreatic cancer) and to pancreatic cancer individually. A comparative analysis was conducted employing multiple machine learning algorithms, which were subjected to a 10-fold cross-validation procedure. The accuracy, specificity and sensitivity of the best-performing algorithm is reported. Results: This retrospective study included 50 healthy controls, 12 patients with chronic pancreatitis, and 42 patients with pancreatic cancer (12 stage I, 15 stage II, 9 stage III, 6 stage IV). Applying Wholomics´ technology, an accuracy of 99.1% in differentiating the chronic pancreatitis and pancreatic cancer patients from the healthy controls was achieved. A specificity of 98.0% and a sensitivity of 100.0% were reached. Furthermore, pancreatic cancer patients and chronic pancreatitis patients were differentiated with 95.2% accuracy. Wholomics was also capable of differentiating between early stage (stages I and II) and late-stage (stages III and IV) pancreatic cancer with an accuracy of 100%. Conclusions: Taken together, this study demonstrates that disease-specific molecular signatures in peripheral blood can distinguish patients with PDAC from healthy individuals and patients with pancreatitis with very high accuracy. If validated in additional cohorts, this method could be evaluated as a screening test for PDAC to allow for early detection and improve patient outcomes.

Advancing canine mammary tumor diagnostics: Unraveling the diagnostic potential of Cytokeratin 19 through droplet digital PCR analysis

Cytokeratin 19 (CK19) is a complex intracytoplasmic cytoskeletal protein primarily localized in the ducts of the mammary gland and skin epithelial cells. In humans, the expression of CK19 gene within circulating tumor cells (CTCs) extracted from blood samples of breast cancer patients reflects tumor cell activity, offering valuable insights for predicting early metastatic relapse or monitoring treatment effectiveness. However, knowledge of serum tumor markers is limited in veterinary oncology. Recently, droplet digital PCR (ddPCR), has been employed to explore rare target genes due to its heightened sensitivity and accuracy as a novel molecular diagnostic tool. The objectives of this study were to investigate the expression of the CK19 mRNA in CTCs, non-neoplastic mammary tissues, and both benign and malignant canine mammary tumors (CMTs) through ddPCR analysis. In Study I, we optimized the discard volume for blood samples to reduce CK19 contamination from skin epithelial cells post-venipuncture. The results revealed that discarding the initial 3 mL of blood was adequate and effective in eliminating CK19 mRNA contamination. In Study II, after the removal of the initial 3 mL of blood, we investigated CK19 mRNA-positive CTCs in the peripheral blood of normal healthy dogs, including those with benign and malignant CMTs. Intriguingly, CK19 mRNA was undetectable in all blood samples. The expression of CK19 mRNA in mammary tissues was investigated in Study III. The copy number (CN) ratios of the CK19 gene in non-neoplastic mammary tissues (14.77 ± 14.65) were significantly higher (P < 0.05) than those in benign (4.23 ± 3.35) and malignant groups (6.56 ± 5.64). Notably, no difference was observed between the benign and malignant groups. In conclusion, CK19 mRNA appeared unlikely to be a suitable candidate as a biomarker in the peripheral blood of CMTs, while the CN ratio in mammary tissues could serve as a potential discriminator between non-neoplastic and CMT groups, complementing the gold standard of histopathological examination.

Detection of Multiple HPV Types in Liquid Biopsies of Cervical Neoplasia.

More than 95% of cervical cancers and their precancerous lesions are caused by human papillomavirus (HPV). Cell-free (cf) HPV DNA detection in blood samples may serve as a monitoring tool for cervical cancer. In our methodological study, an HPV panel for simultaneous detection of 24 types using mass spectrometry-based analysis was developed for liquid biopsy approaches and tested on HPV positive cell lines, plasmid controls, and cervical high-grade squamous intraepithelial lesions (HSIL) in positive smear samples (n = 52). It was validated in cfDNA blood samples (n = 40) of cervical cancer patients. The HPV panel showed proficient results in cell lines and viral plasmids with a limit of detection of 1 IU (international units)/µL for HPV16/18 and 10GE/µL for HPV11/31/33/39/45/51/52/58/59 and a specificity of 100% for the tested HPV types. In cervical smear samples, HPV DNA was detected with a sensitivity of 98.14%. The overall agreement between the new HPV panel and clinical records was 97.2% (κ = 0.84). In cervical cancer cfDNA, 26/40 (65.0%) tested positive for any HPV type, with most infections due to hrHPV (24/26). HPV positive samples were found in all FIGO stages, with the highest positivity ratio in FIGO III and IV. Even the lowest stage, FIGO I, had 12/23 (52.2%) patients with a positive HPV plasma status. This proof-of-concept paper shows that the described assay produces reliable results for detecting HPV types in a multiplex mass spectrometry-based assay in cervical smear and cfDNA with high specificity and sensitivity in both cohorts. The assay shows potential for liquid biopsy-based applications in monitoring cervical cancer progression.

A Bio-Inspired Free-Standing Film with Versatility: From Heterogeneous CTCs Programed Isolating to Breast Cancer Molecular Typing.

Developing a robust strategy for profiling heterogeneous circular tumor cells specifically, distinguishing the phenotypes of which in blood sample of cancer patient precisely, and releasing them sequentially, is significant for cancer management by liquid biopsy. Herein, a bio-inspired free-standing and flexible film composed of TiO2 nanotube and silk fibroin, fabricated with multiply dynamic bioactive surface (TSF/MDBS) by a simple and eco-friendly way including using polydopamine chemistry and dual dynamic covalent chemistry, is reported. The as-prepared TSF/MDBS binds specific peptides toward cells with epithelial biomarker and human epithelial growth factor receptor 2 (HER2) biomarker, and antifouling agents bovine serum albumin for obviating platelets and proteins adhering of blood, can capture heterogeneous CTCs with enhanced capability due to the cytocompatible soft film and exquisite surface design, and further release the captured cells as program, by specifically breaking down the covalent bonds in sequence via the action of adding biocompatible molecules fructose and glutathione. By applying the TSF/MDBS, it can be tailored into desired pieces for identifying CTCs with different phenotypes (HER2-high and HER2-low) from the unprocessed blood samples of breast cancer patients, and finally profiling these heterogeneous CTCs, to discriminate HER2 positive or negative of breast cancer patients in clinical applications.

DNA bridged polycrystalline Cu2+-NMOFs for electrochemical detection of mesenchymal circulating tumor cells

The analysis of mesenchymal circulating tumor cells (CTCs) with enhanced migratory is important in the diagnosis and metastasis prediction of cancer. In this work, an efficient electrochemical biosensor has been proposed for the sensitive analysis of mesenchymal CTCs. In our design, the capture antibody modified on the electrode surface can specifically recognize cell-surface vimentin, which is a specific biomarker of mesenchymal CTCs. In the meantime, polycrystalline Cu2+-NMOFs with excellent mimic peroxidase property assembled by functional nucleic acids are used as the signal probes. After capturing the mesenchymal CTCs with the capture antibody, the cholesterol-labeled functional nucleic acids modified on the Cu2+-NMOFs polycrystalline structures can serve as an anchor to insert into the cell membrane while bringing the polycrystalline Cu2+-NMOFs to the surface of the electrode. Consequently, an obvious enhanced signal is generated for sensitive quantitative of mesenchymal CTCs ranging from 2 × 101 to 104 cell mL−1 with a detection limit of 5 cell mL−1. Moreover, the biosensor can be applied to quantitative analysis of mesenchymal CTCs in blood samples of clinical bladder cancer patients with high selectivity and anti-interference ability, showing the great prospect for clinical cancer diagnosis.

Immune checkpoint status and exhaustion-related phenotypes of CD8+ T cells from the tumor-draining regional lymph nodes in breast cancer.

Functional status of T cells determines the responsiveness of cancer patients to immunotherapeutic interventions. Even though T cell-mediated immunity is inaugurated in the tumor-adjacent lymph nodes, peripheral blood has been routinely sampled for testing the immunological assays. The purpose of this study is to determine the immune checkpoint molecule expression and the exhaustion-related phenotype of cytotoxic T cells in the regional lymph nodes from breast cancer patients. Multicolor immunophenotyping was used to determine the expression of PD-1, TIM-3, LAG3, CTLA-4, CCR7, CD45RO, CD127, CD25, CXCR5, and ICOS molecules on CD3+ CD4- CD56- CD8+ cytotoxic T cells freshly obtained from the lymph nodes and the peripheral blood samples of the breast cancer patients. The results were assessed together with the clinical data. A population of cytotoxic T cells was noted with high PD-1 and CXCR5 expression in the lymph nodes of the breast cancer patients. Co-expression of PD-1, CXCR5, TIM-3, and ICOS indicated a follicular helper T cell (Tfh)-like, exhaustion-related immunophenotype in these cytotoxic T cells. Only a minor population with CTLA-4 and LAG3 expression was noted. The PD-1+ CXCR5+ cytotoxic T cells largely displayed CD45RO+ CCR7+ central memory markers. The amount of CXCR5-expressing PD-1- cytotoxic T cells was elevated in the lymph nodes of the patients. The regional lymph nodes of breast cancer patients harbor Tfh-like exhausted cytotoxic T lymphocytes with high PD-1 and TIM-3 checkpoint molecule expression. The immunological conditions in the regional lymph nodes should be implicated for immune checkpoint immunotherapy (ICI) of cancer.

Novel conditionally replicating adenovirus-mediated efficient detection of circulating tumor cells in lung cancer patients.

Circulating tumor cells (CTCs) are present in the blood of cancer patients from the early stage of cancer development, and their presence has been correlated with patient prognosis and treatment responses. Accordingly, CTCs have been attracting attention as a novel biomarker for early detection of cancer and monitoring of treatment responses. However, since patients typically have only a few CTCs per milliliter of blood, development of an accurate and highly sensitive CTC detection method is crucial. We previously developed a CTC detection method using a novel conditionally replicating adenovirus (Ad) that expresses green fluorescence protein (GFP) in a tumor cell-specific manner by expressing the E1 gene using a tumor-specific human telomerase reverse transcriptase (hTERT) promoter (rAdF35-142T-GFP). CTCs were efficiently detected using rAdF35-142T-GFP, but GFP expression levels in the CTCs and production efficiencies of rAdF35-142T-GFP were relatively low. In this study, in order to overcome these problems, we developed four types of novel GFP-expressing conditionally replicating Ads and examined their ability to visualize CTCs in the blood samples of lung cancer patients. Among the four types of novel recombinant Ads, the novel conditionally replicating Ad containing the 2A peptide and the GFP gene downstream of the E1A gene and the adenovirus death protein (ADP) gene in the E3 region (rAdF35-E1-2A-GFP-ADP) mediated the highest number of GFP-positive cells in the human cultured tumor cell lines. Titers of rAdF35-E1-2A-GFP-ADP were significantly higher (about 4-fold) than those of rAdF35-142T-GFP. rAdF35-E1-2A-GFP-ADP and rAdF35-142T-GFP efficiently detected CTCs in the blood of lung cancer patients at similar levels. GFP+/CD45- cells (CTCs) were found in 10 of 17 patients (58.8%) for both types of recombinant Ads.

Preliminary study on miRNA in prostate cancer

ObjectiveTo screen for miRNAs differentially expressed in prostate cancer and prostate hyperplasia tissues and to validate their association with prostate cancer.MethodsPatients diagnosed by pathology in the Department of Urology of the First Affiliated Hospital of Xinjiang Medical University from October 2021 to June 2022 were selected, and their general clinical information, blood samples, and prostate tissue samples were collected. miRNA microarray technology was performed to obtain differentially expressed miRNAs in prostate cancer and hyperplasia tissues, and miRNAs to be studied were screened by microarray results and review of relevant literature. The detection of miRNA expression in the patients’ blood and prostate tissue samples was measured. The miRNA-222-mimics were transfected into PC3 cells, and cell biology experiments such as CCK8, scratch, Transwell, and flow cytometry were performed to detect the effects of overexpressed miRNA-222 on the growth and proliferation, invasive ability, apoptotic ability, and metastatic ability of prostate cancer cells.ResultsThe results of the miRNA microarray showed that there were many differentially expressed miRNAs in prostate cancer and hyperplasia tissues, and four miRNAs, miRNA-144, miRNA-222, miRNA-1248, and miRNA-3651 were finally selected as the subjects by reviewing relevant literature. The results showed that the expression of miRNA-222 in prostate cancer tissues was lower than that in prostate hyperplasia tissues (P < 0.05). The expression of miRNA-222, miRNA-1248, and miRNA-3651 in blood samples of prostate cancer patients was lower than that in prostate hyperplasia patients (P < 0.05). The analysis results indicated that the f/t ratio and the relative expression of miRNA-222 and miRNA-1248 were independent influences of prostate cancer (P < 0.05), in which overexpression of miRNA-222 decreased the proliferative, invasive, and metastatic abilities of PC3 cells and enhanced the level of apoptosis of cancer cells.ConclusionsAlthough there was no significant change in the overall incidence of prostate cancer in this study, significant changes occurred in the incidence of prostate cancer with different characteristics. In addition, the nomogram prediction model of prostate cancer-specific survival rate constructed based on four factors has a high reference value, which helps physicians to correctly assess the patient-specific survival rate and provides a reference basis for patient diagnosis and prognosis evaluation.

Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy

Response to immunotherapy widely varies among cancer patients and identification of parameters associating with favourable outcome is of great interest. Here we show longitudinal monitoring of peripheral blood samples of non-small cell lung cancer (NSCLC) patients undergoing anti-PD1 therapy by high-dimensional cytometry by time of flight (CyTOF) and Meso Scale Discovery (MSD) multi-cytokines measurements. We find that higher proportions of circulating CD8+ and of CD8+CD101hiTIM3+ (CCT T) subsets significantly correlate with poor clinical response to immune therapy. Consistently, CD8+ T cells and CCT T cell frequencies remain low in most responders during the entire multi-cycle treatment regimen; and higher killer cell lectin-like receptor subfamily G, member 1 (KLRG1) expression in CCT T cells at baseline associates with prolonged progression free survival. Upon in vitro stimulation, CCT T cells of responders produce significantly higher levels of cytokines, including IL-1β, IL-2, IL-8, IL-22 and MCP-1, than of non-responders. Overall, our results provide insights into the longitudinal immunological landscape underpinning favourable response to immune checkpoint blockade therapy in lung cancer patients.

The Relationship Between Lymphocyte Subtypes with Clinicopathological Features and Prognosis of Prostate Cancer in Patients Undergoing Radical Prostatectomy.

The immune system has an essential role in the development of cancer by showing both anti-tumor and pro-tumor activities. Understanding the immune func- tion of patients with malignancy is of clinical importance for the evaluation, treatment, and prognosis of the disease. We aimed to evaluate lymphocyte subtypes in peripheral blood samples of prostate cancer patients and their relationship with clinicopathologi- cal features and prognosis. One hundred thirty-seven patients who underwent open radical prosta- tectomy were included in our study. The percentages of CD3+T lymphocyte, CD19+ B lymphocyte, CD16/56 natural killer cells, CD4+ helper T lymphocyte, CD8+ cytotoxic T lymphocyte, and CD45 total lymphocyte were evaluated for each patient using the blood sample taken into a hemogram tube before surgery. The pathological stage was T2 for 64 of the cases and T3 for 73. The mean follow-up period of the patients was 12.81 ± 6.20 months. The CD3+/CD4+ counts of the patients with pathological stage T2 were found to be statistically significantly higher than stage T3. There was a statistically significant negative correlation between the prostate-specific antigen levels and CD3+/CD4+ percentages of the patients. There was no statistical significance between the percentages of lymphocyte subtypes and the presence of surgical margin, biochemical recurrence, adjuvant therapy, and cancer upgrade. We consider that the increase in the pathological stage and prostate-spe- cific antigen value and the decrease in the number of CD4+ T lymphocyte subtypes may be prognostic markers in prostate cancer patients.

MicroRNA-Based Discovery of Biomarkers, Therapeutic Targets, and Repositioning Drugs for Breast Cancer.

Breast cancer treatment can be improved with biomarkers for early detection and individualized therapy. A set of 86 microRNAs (miRNAs) were identified to separate breast cancer tumors from normal breast tissues (n = 52) with an overall accuracy of 90.4%. Six miRNAs had concordant expression in both tumors and breast cancer patient blood samples compared with the normal control samples. Twelve miRNAs showed concordant expression in tumors vs. normal breast tissues and patient survival (n = 1093), with seven as potential tumor suppressors and five as potential oncomiRs. From experimentally validated target genes of these 86 miRNAs, pan-sensitive and pan-resistant genes with concordant mRNA and protein expression associated with in-vitro drug response to 19 NCCN-recommended breast cancer drugs were selected. Combined with in-vitro proliferation assays using CRISPR-Cas9/RNAi and patient survival analysis, MEK inhibitors PD19830 and BRD-K12244279, pilocarpine, and tremorine were discovered as potential new drug options for treating breast cancer. Multi-omics biomarkers of response to the discovered drugs were identified using human breast cancer cell lines. This study presented an artificial intelligence pipeline of miRNA-based discovery of biomarkers, therapeutic targets, and repositioning drugs that can be applied to many cancer types.

Establishment and Evaluation of Exosomes-Related Gene Risk Model in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a challenging disease to evaluate in terms of prognosis, requiring close attention to the prognosis of HCC patients. Exosomes have been shown to play an important role in HCC development and have significant potential in managing HCC patient prognosis, as they are detectable in patients' blood. By using small extracellular vesicular RNA, liquid biopsies can reflect the underlying physiological and pathological status of the originating cells, providing a valuable assessment of human health. No study has explored the diagnostic value of mRNA expression changes in exosomes for liver cancer. The present study investigated establishing a risk prognosis model based on mRNA expression levels in exosomes from blood samples of liver cancer patients and evaluated its diagnostic and prognostic value, providing new targets for liver cancer detection. We obtained mRNA data from HCC patients and normal controls from the TCGA and exoRBase 2.0 databases and established a risk prognostic assessment model using exosomes-related risk genes selected through prognostic analysis and Lasso Cox analysis. The patients were divided into high-risk and low-risk groups based on median risk score values to validate the independence and evaluability of the risk score. The clinical value of the model was further analyzed using a nomograph model, and the efficacy of immunotherapy and cell-origin types of prognostic risk genes were further assessed in the high- and low-risk groups by immune checkpoint and single-cell sequencing. A total of 44 genes were found to be significantly associated with the prognosis of HCC patients. From this group, we selected six genes (CLEC3B, CYP2C9, GNA14, NQO1, NT5DC2, and S100A9) as exosomal risk genes and used them as a basis for the risk prognosis model. The clinical information of HCC patients from the TCGA and ICGC databases demonstrated that the risk prognostic score of the model established in this study was an independent prognostic factor with good robustness. When pathological stage and risk prognostic score were incorporated into the model to predict clinical outcomes, the nomograph model had the best clinical benefit. Furthermore, immune checkpoint assays and single-cell sequencing analysis suggested that exosomal risk genes were derived from different cell types and that immunotherapy in the high-risk groups could be beneficial. Our study demonstrated that the prognostic scoring model based on exosomal mRNA was highly effective. The six genes selected using the scoring model have been previously reported to be associated with the occurrence and development of liver cancer. However, this study is the first to confirm that these related genes existed in the blood exosomes, which could be used for liquid biopsy of patients with liver cancer, thereby avoiding the need for puncture diagnosis. This approach has a high value in clinical application. Through single-cell sequencing, we found that the six genes in the risk model originate from multiple cell types. This finding suggests that the exosomal characteristic molecules secreted by different types of cells in the microenvironment of liver cancer may serve as diagnostic markers.