Biomarkers Of Treatment Response Research Articles

Omega-3 fatty acids for inflamed depression – A match/mismatch study

Despite decades of research on the pathophysiology of depression, the development of new therapeutic interventions has been slow, and no biomarkers of treatment response have been clinically implemented. Several lines of evidence suggest that the clinical and biological heterogeneity among patients with major depressive disorder (MDD) has hampered progress in this field. MDD with low-grade inflammation – “inflamed depression” – is a subtype of depression that may be associated with a superior antidepressant treatment response to anti-inflammatory compounds. Omega-3 fatty acid eicosapentaenoic acid (EPA) has anti-inflammatory properties, and preliminary data suggest that it may be particularly efficacious in inflamed depression. In this study we tested the hypothesis that add-on EPA has greater antidepressant efficacy in MDD patients with high baseline high-sensitivity C-reactive protein (hs-CRP) compared to MDD patients with low hs-CRP. All subjects received 2.2 g EPA, 400 mg docosahexaenoic acid and 800 mg of other fatty acids daily for 8 weeks, added to stable ongoing antidepressant treatment. The primary outcome was change in the 17-item Hamilton Depression Rating Scale (HAMD-17). Patients and raters were blind to baseline hs-CRP status. In an intention-to-treat analysis including all subjects with at least one post baseline visit (n = 101), ahs-CRPcut-off of ≥1 mg/L, but not ≥3 mg/L, was associated with a greater improvement in HAMD-17 total score. In addition to a general antidepressant effect among patients with hs-CRP ≥ 1 mg/L, adjuvant EPA treatment improved symptoms putatively related to inflamed depression such as fatigue and sleep difficulties. This adds to the mounting evidence that delineation of MDD subgroups based on inflammation may be clinically relevant to predict treatment response to anti-inflammatory interventions.

Prognostic implication of UBE2C + CD8 + T cell in neoadjuvant immune checkpoint blockade plus chemotherapy for locally advanced esophageal cancer

BackgroundImmune checkpoint blockers (ICBs) plus chemotherapy as neoadjuvant therapy for patients with esophageal cancer (EC) has gained substantial attention. This study aimed to investigate the early and mid-term outcome of neoadjuvant ICBs plus chemotherapy and discover immune-associated predictors of major pathological response (MPR) for locally advanced EC. MethodPatients with locally advanced EC who received neoadjuvant ICBs plus chemotherapy were retrospectively included between June 2019 to December 2021. Conjoint analysis of Bulk-RNA seq (GSE165252) and scRNA seq (GSE188900) were used to investigate potential prognostic factors and immunological mechanisms, then multiplexed immunofluorescence was applied to validate. Results76 patients were included. A total of 21 (27.6 %) patients achieved MPR, with 13 (17.1 %) attaining a pathological complete response. Over a median follow-up of 1.8 years, 6 (7.9 %) patients died and 21 (27.6 %) experienced disease recurrence within 0.6 to 2.1 years after surgery. The overall survival rate and recurrence-free survival rate were 93.3 + 2.9 % and 84.8 + 4.2 % at 12 months, 90.8 + 3.7 % and 67.1 + 6.4 % at 24 months, and 90.8 + 3.7 % and 62.9 + 7.2 % at 36 months, respectively. Patients achieving MPR had a significantly lower risk of recurrence compared to non-responders (9.5 % vs 34.5 %, P = 0.017). Analysis of bulk-RNA seq and scRNA-seq revealed that UBE2C and UBE2C + CD8 + T cells were adverse prognostic factors. Immunohistochemistry demonstrated that the non-MPR group had a higher infiltration of UBE2C + immune cells than MPR group after neoadjuvant treatment. Multiplexed immunofluorescence confirmed that infiltrating UBE2C + CD8 + T cells in MPR group were significantly fewer than non-MPR group after neoadjuvant treatment, indicating their poor prognostic role for EC. ConclusionsNeoadjuvant ICBs plus chemotherapy shows promising efficacy in locally advanced EC, with MPR being a significant predictor of lower recurrence risk. Immunological analyses identified UBE2C + CD8 + T cells as adverse prognostic factors, suggesting their potential as biomarkers for patient stratification and treatment response.

Metabolomic characterization of human glioblastomas and patient plasma: a pilot study

Background Glioblastoma (GBM) is a clinically challenging primary brain tumor with poor survival outcome despite surgical resection and intensive chemoradiation. The metabolic heterogeneity of GBM can become biomarkers for treatment response, resistance, and outcome prediction. The aim of the study is to investigate metabolic distinctions between primary and recurrent GBM tissue and patient plasma to establish feasibility for metabolic profiling. Methods A single-center cohort study analyzed tissue and blood samples from 15 patients with GBM using untargeted metabolomic/lipidomic assays. Metabolomic, lipidomic, and biogenic amine analyses were conducted on GBM tissue and patient plasma at diagnosis and recurrence using untargeted mass spectrometry. The study utilized a small but longitudinally collected cohort to evaluate alteration in metabolites, lipids, and biogenic amines between specimens at diagnosis and recurrence. Results Exploratory analysis revealed significant alteration in metabolites, lipids, and biogenic amines between diagnostic and recurrent states in both tumor and plasma specimens. Notable metabolites differed at recurrence, including N-alpha-methylhistamine, glycerol-3-phosphate, phosphocholine, and succinic acid in tissue, and indole-3-acetate, and urea in plasma. Principal component analysis revealed distinct metabolomic profiles between tumor tissue and patient plasma. Distinct metabolic profiles were observed in GBM tissue and patient plasma at recurrence, demonstrating the feasibility of using metabolomic methodologies for longitudinal studies. One patient exhibited a unique tumor resistance signature at diagnosis, possibly indicating a high-risk metabolomic phenotype. Conclusions In this small cohort, the findings suggest the potential of metabolomic signatures of GBM tissue and patient plasma for risk stratification, outcome prediction, and the development of novel adjuvant metabolic-targeting therapies. The findings suggest metabolic discrepancies at diagnosis and recurrence in tissue and plasma, highlighting potential implications for evaluation of clinical response. The identification of significant changes in metabolite abundance emphasizes the need for larger studies using targeted metabolomics to validate and further explore these profiles.

Evaluation of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration (EBUS-TBNA) Samples from Advanced Non-Small Cell Lung Cancer for Whole Genome, Whole Exome and Comprehensive Panel Sequencing.

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is often the only source of tumor tissue from patients with advanced, inoperable lung cancer. EBUS-TBNA aspirates are used for the diagnosis, staging, and genomic testing to inform therapy options. Here we extracted DNA and RNA from 220 EBUS-TBNA aspirates to evaluate their suitability for whole genome (WGS), whole exome (WES), and comprehensive panel sequencing. For a subset of 40 cases, the same nucleic acid extraction was sequenced using WGS, WES, and the TruSight Oncology 500 assay. Genomic features were compared between sequencing platforms and compared with those reported by clinical testing. A total of 204 aspirates (92.7%) had sufficient DNA (100 ng) for comprehensive panel sequencing, and 109 aspirates (49.5%) had sufficient material for WGS. Comprehensive sequencing platforms detected all seven clinically reported tier 1 actionable mutations, an additional three (7%) tier 1 mutations, six (15%) tier 2-3 mutations, and biomarkers of potential immunotherapy benefit (tumor mutation burden and microsatellite instability). As expected, WGS was more suited for the detection and discovery of emerging novel biomarkers of treatment response. WGS could be performed in half of all EBUS-TBNA aspirates, which points to the enormous potential of EBUS-TBNA as source material for large, well-curated discovery-based studies for novel and more effective predictors of treatment response. Comprehensive panel sequencing is possible in the vast majority of fresh EBUS-TBNA aspirates and enhances the detection of actionable mutations over current clinical testing.

Quantiferon Monitor Testing Sheds Light on Immune System Disparities between Multiple Sclerosis Patients and Healthy Individuals.

The aim of this study was to conduct QuantiFERON Monitor (QFM) testing in patients with multiple sclerosis (MS), which is used to monitor the state of the immune system through the non-specific stimulation of leukocytes followed by determining the level of interferon-gamma (IFN-γ) released from activated cells. Additionally, we tested the level of selected cytokines (IFN-α, IFN-γ, IL-1α, IL-1β, IL-1ra, IL-2, IL-3, IL-4, IL-6, IL-7, IL-10, IL-15, IL-33, VEGF) from stimulated blood samples to further understand the immune response. This study builds upon a previously published study, utilizing activated serum samples that were initially used for IFN-γ determination. However, our current focus shifts from IFN-γ to exploring other cytokines that could provide further insights into the immune response. A screening was conducted using Luminex technology, which yielded promising results. These results were then further elaborated upon using ELISA to provide a more detailed understanding of the cytokine profiles involved. This study, conducted from August 2019 to June 2023, included 280 participants: 98 RRMS patients treated with fingolimod (fMS), 96 untreated patients with progressive MS (pMS), and 86 healthy controls (HC). Our results include Violin plots showing elevated IL-1α in pMS and fMS. Statistical analysis indicated significant differences in the interleukin levels between groups, with IL-1ra and age as key predictors in differentiating HC from pMS and IL-1ra, IL-1α, age, and EDSS in distinguishing pMS from fMS. These findings suggest cytokines' potential as biomarkers in MS progression and treatment response.

The Efficacy of Immune Checkpoint Inhibitors in Microsatellite Stable Colorectal Cancer: A Systematic Review.

The use of immune checkpoint inhibitors (ICIs) has revolutionized cancer care, particularly in immune-inflamed tumors and tumors with a high mutational burden, like microsatellite instable colorectal cancer (CRC). However, their effectiveness in microsatellite stable (MSS) CRC is limited. This systematic review aims to evaluate the efficacy of ICIs in MSS CRC and explore promising combination strategies. A comprehensive search from the Web of Science, Medline, and Embase databases, for studies published until 14 November 2022, identified 53 clinical trials included in the review. ICI monotherapy or ICI-ICI combinations demonstrated limited clinical activity for patients with MSS CRC, with overall response rates below (ORR) 10% in most studies. The ICI and tyrosine kinase inhibitor (TKI) garnered ORRs ranging from 10% to 40% and indicated a higher benefit for patients, particularly those without active liver metastases. The combination of ICIs with anti-VEGF agents showed modest ORRs, especially in the earlier treatment lines and in combination with chemotherapy. While these combinations could lead to modest improvements, well-defined biomarkers for long-term benefit are yet to be delineated. Combinations involving BRAF inhibitors with ICIs were studied, showing promising responses with combination approaches in molecularly defined subgroups. In conclusion, while ICI monotherapy has limited efficacy in MSS CRC, combination strategies hold promise to enhance survival outcomes. Further research is necessary to identify optimal combination approaches, predictive biomarkers for treatment response, as well as enrollment according to tumor molecular characteristics.

BioMEL: a translational research biobank of melanocytic lesions and melanoma

IntroductionDiagnosing invasive cutaneous melanoma (CM) can be challenging due to subjectivity in distinguishing equivocal nevi, melanoma in situ and thin CMs. The underlying molecular mechanisms of progression from nevus to...

Single-cell profiling reveals kidney CD163+ dendritic cell participation in human lupus nephritis

ObjectivesThe current work aimed to provide a comprehensive single-cell landscape of lupus nephritis (LN) kidneys, including immune and non-immune cells, identify disease-associated cell populations and unravel their participation within the...

The anti-tumor effects of AZD4547 on ovarian cancer cells: differential responses based on c-Met and FGF19/FGFR4 expression

BackgroundThe FGF/FGFR signaling pathway plays a critical role in human cancers. We analyzed the anti-tumor effect of AZD4547, an inhibitor targeting the FGF/FGFR pathway, in epithelial ovarian cancer (EOC) and strategies on overcoming AZD4547 resistance.MethodsThe effect of AZD4547 on cell viability/migration was evaluated and in vivo experiments in intraperitoneal xenografts using EOC cells and a patient-derived xenograft (PDX) model were performed. The effect of the combination of AZD4547 with SU11274, a c-Met-specific inhibitor, FGF19-specific siRNA, or an FGFR4 inhibitor was evaluated by MTT assay.ResultsAZD4547 significantly decreased cell survival and migration in drug-sensitive EOC cells but not drug-resistant cells. AZD4547 significantly decreased tumor weight in xenograft models of drug-sensitive A2780 and SKOV3ip1 cells and in a PDX with drug sensitivity but not in models with drug-resistant A2780-CP20 and SKOV3-TR cells. Furthermore, c-Met expression was high in SKOV3-TR and HeyA8-MDR cells, and co-administration of SU11274 and AZD4547 synergistically induced cell death. In addition, expressions of FGF19 and FGFR4 were high in A2780-CP20 cells. Combining AZD4547 with FGF19 siRNA or with a selective FGFR4 inhibitor led to significantly reduced cell proliferation in A2780-CP20 cells.ConclusionsThis study showed that AZD4547 has significant anti-cancer effects in drug-sensitive cells and PDX models but not in drug-resistant EOC cells. In drug-resistant cells, the expression level of c-Met or FGF19/FGFR4 may be a predictive biomarker for AZD4547 treatment response, and a combination strategy of drugs targeting c-Met or FGF19/FGFR4 together with AZD4547 may be an effective therapeutic strategy for EOC.

P021 Higher TNFα and IL-6 mucosal levels in ulcerative colitis patients with more severe endoscopic activity

Abstract Background Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterised by colonic mucosa inflammation. Its clinical course is marked by alternating periods of relapse and remission that impair patients' quality of life. In the last decades, novel therapies have shown to be effective for UC resulting in lower rates of colectomy. However, there is still a significant proportion of non-responding patients that change from one treatment to another, being exposed to its potential adverse events. Thus, predictive factors of response to available drugs are needed to tailor the best treatment strategy for each patient. The aim of our study was to measure TNFα and IL-6 levels in colonic biopsies from patients with UC with moderate to severe endoscopic activity. Methods A prospective, observational single-centre study was designed and it is currently on going. Adult UC patients with moderate to severe endoscopic activity (Mayo Endoscopic Score (MES) > 1) in a routine colonoscopy were included. Biopsies from inflamed (MES>1) and non-inflamed (MES=0) colon of each patient were homogenised and processed by using RIPA buffer and ultrasounds to obtain cell lysates. Human Luminex Discovery Assay (2 plex) was used for the simultaneous detection and quantitation of IL-6 and TNFα. Data are shown as percentage, median, interquartile range (IQR) and mean ± standard deviation (SD) as appropriate. Results So far, 21 patients were consecutively included (mean age 53.8 years (SD 17.0), 52.4% female). About 43% of patients had left-sided UC, 28.5% extensive UC and 28.5% proctitis. Regarding endoscopic activity, 61.9% of patients showed MES=2 and 38.1% were MES=3. Fourteen patients (66.6%) were bio-naïve and 7 (33.3%) had been exposed to anti-TNFα. IL-6 was detected in biopsies from colon with MES ≥ 2 of 18 (85.7%) patients, of which 10 (55.6%) patients also TNFα was found. Neither IL-6 nor TNFα were detected in biopsies from non-inflamed colon (p=0.00). Median IL-6 in inflamed colonic samples from patients with MES-2 was 25.6pg/ml (IQR 0.2-74.3) and 92.2pg/ml (IQR 16.9-314.3) in those with MES-3 (p=0.09). Median TNFα in inflamed colonic biopsies from patients with MES-2 was 0.0pg/ml (IQR 0.0-20.0) and 22.2pg/ml (IQR 0.0-34.3) in patients with MES-3 (p=0.12) (Figure 1). No differences were found in TNFα levels between anti-TNFα naïve patients and those patients previously exposed to anti-TNFα (p=0.96). Conclusion IL-6 and TNFα are elevated in inflamed colonic mucosa, particularly in those patients with more severe endoscopic activity, while they are not found in non-inflamed colonic mucosa. The correlation between cytokine levels and endoscopic severity suggests their potential as biomarkers for treatment response.

The association between neuroendocrine/glucose metabolism and clinical outcomes and disease course in different clinical states of bipolar disorders.

The treatment of bipolar disorder (BD) remains challenging. The study evaluated the impact of the hypothalamic-pituitary-adrenal (HPA) axis/hypothalamic-pituitary-thyroid (HPT) axis and glucose metabolism on the clinical outcomes in patients with bipolar depression (BD-D) and manic bipolar (BD-M) disorders. The research design involved a longitudinal prospective study. A total of 500 BD patients aged between 18 and 65 years treated in 15 hospitals located in Western China were enrolled in the study. The Young Mania Rating Scale (YMRS) and Montgomery and Asberg Depression Rating Scale (MADRS) were used to assess the BD symptoms. An effective treatment response was defined as a reduction in the symptom score of more than 25% after 12 weeks of treatment. The score of symptoms was correlated with the homeostatic model assessment of insulin resistance (HOMA-IR) index, the HPA axis hormone levels (adrenocorticotropic hormone (ACTH) and cortisol), and the HPT axis hormone levels (thyroid stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), free triiodothyronine (fT3), and free thyroxine (fT4)). In the BD-M group, the YMRS was positively correlated with baseline T4 (r = 0.349, p = 0.010) and fT4 (r = 0.335, p = 0.013) and negatively correlated with fasting insulin (r = -0.289, p = 0.013). The pre-treatment HOMA-IR was significantly correlated with adverse course (p = 0.045, OR = 0.728). In the BD-D group, the baseline MADRS was significantly positively correlated with baseline fT3 (r = 0.223, p = 0.032) and fT4 (r = 0.315, p = 0.002), while baseline T3 (p = 0.032, OR = 5.071) was significantly positively related to treatment response. The HPT axis and glucose metabolism were closely associated with clinical outcomes at 12 weeks in both BD-D and BD-M groups. If confirmed in further longitudinal studies, monitoring T3 in BD-D patients and HOMA-IR for BD-M could be used as potential treatment response biomarkers.

Prospective Evaluation of Circulating Tumor DNA using Next Generation Sequencing as a Biomarker during Neoadjuvant Chemotherapy in Localized Pancreatic Cancer.

In this prospective study, we aim to characterize the prognostic value of circulating tumor DNA (ctDNA) by next-generation-sequencing (NGS) in patients undergoing neoadjuvant chemotherapy (NAC) for pancreatic ductal adenocarcinoma (PDAC). Circulating tumor DNA is a promising blood-based biomarker that is prognostic in several malignancies. Detection of ctDNA by NGS may provide insights regarding the mutational profiles in PDAC to help guide clinical decisions for patients in a potentially curative setting. However, the utility of ctDNA as a biomarker in localized PDAC remains unclear. Patients with localized PDAC were enrolled in a prospective study at Northwestern Medicine between October 2020 and October 2022. Blood samples were collected to perform targeted tumor agnostic NGS utilizing the Tempus x|F 105 gene panel at three timepoints: pre-therapy (at diagnosis), post-NAC, and after local therapy, including surgery. The relationship between ctDNA detection and CA19-9, and the prognostic significance of ctDNA detection were analyzed. 56 patients were included in the analysis. ctDNA was detectable in 48% at diagnosis, 33% post-NAC, and 41% after local therapy. After completion of NAC, patients with detectable ctDNA had higher CA19-9 levels versus those without (78.4 vs. 30.0, P=0.02). The presence of baseline ctDNA was associated with a CA19-9 response; those without ctDNA had a significant CA19-9 response following NAC (109.0U/mL vs. 31.5U/mL; P=0.01), while those with ctDNA present at diagnosis did not (198.1U/mL vs. 113.8U/mL; P=0.77). In patients treated with NAC, the presence of KRAS ctDNA at diagnosis was associated with and independently predicted worse progression-free-survival. This report demonstrates the prognostic value of ctDNA analysis with NGS in localized PDAC. NGS ctDNA is a biomarker of treatment response to NAC. KRAS ctDNA at diagnosis independently predicts worse survival in patients treated with NAC.

Des-gamma-carboxy prothrombin (DCP) as a biomarker for treatment response in hepatocellular carcinoma.

547 Background: Causes of variable disease response to first-line treatment with atezolizumab/bevacizumab (atezo/bev) in hepatocellular carcinoma (HCC) patients remain unclear. Identifying tumor markers that predict treatment efficacy may help raise clinical suspicion for early disease progression. The role of des-gamma-carboxy prothrombin (DCP) is not well established in Hepatitis B Virus (HBV) non-endemic areas. This study aimed to investigate DCP as a predictive biomarker of atezo/bev treatment response in HCC patients. Methods: This single-center retrospective analysis evaluated DCP and radiographic response in HCC patients who received atezo/bev in the first-line setting. DCP was measured at the time of best response evaluation and compared to day one of atezo/bev initiation. Elevated DCP was defined by >=7.5 ng/mL. DCP response was defined as a decrease of >=50% at response assessment compared with baseline. Treatment response was evaluated based on imaging modalities including computed tomography and/or magnetic resonance imaging. Objective response rate (ORR) was defined as the percentage of patients with complete response (CR) and partial response (PR). Disease control rate (DCR) was defined as the percentage of patients with CR, PR, and stable disease (SD). No Response (NR) was defined as the percentage of patients with SD and PD. Comparisons of treatment effects were performed using two-tailed Fisher Exact Probability Test. Results: A total of 53 HCC patients treated with atezo/bev as first-line therapy were included. The best treatment responses according to radiographic evaluation were as follows: CR 3.8%, PR 22.6%, SD 52.8%, and PD 20.8%, respectively. Patients with DCP response had ORR of 69% (odds ratio, 15.75; 95% CI, 3.50-70.9; P=.0002) and DCR of 100% ( P=.047). Patients with >=50% increase in DCP at response evaluation compared to day one of treatment had ORR of 4.5% and NR of 95% ( P=.0035). On day one of treatment, 70% of patients had an elevated DCP. There was no difference between elevated DCP vs non-elevated DCP on day one of treatment and ORR. Conclusions: This study found that DCP has utility in predicting response to atezo/bev for HCC patients in HBV non-endemic areas. Further studies are needed to confirm findings and evaluate the prognostic implications of DCP in HBV non-endemic areas.

An online rectal cancer tumoroid biorepository: A resource to facilitate multimodal data integration.

159 Background: Advancing genetic and computational technologies have increased the complexity and quantity of data available in the field of rectal cancer research. As such, there is a need for a centralized source of data to aid and organize current research efforts. To this end, our team has created a unique online biorepository of rectal cancer tumoroids which may serve as a resource for a community of researchers. Methods: The rectal cancer tumoroid biorepository was created in cBioPortal in 2015. Organoids were derived from patient tumor samples (tumoroids). These samples represented multiple treatment timepoints and included primary, recurrent, and metastatic tumors. These tumoroids were further analyzed by various assays such as MSK-IMPACT and IC50 (to fluorouracil, FOLFOX, and FOLFIRI) to obtain patient-specific genomic and chemosensitivity data. A tumoroid profile was then created in cBioPortal for each sample. Clinical information was collected by chart review and annotated into the tumoroid profiles using the unique features of cBioPortal. These included interactive filters and graphical depictions of patient demographics, clinical and pathologic staging, treatment course, clinical response, overall survival, and disease-free survival. Results were organized in an intuitive visual display for convenient analysis. Novel features such as chemosensitivity plots and an interactive patient timeline were incorporated as well. Results: In total, 401 rectal cancer tumoroids have been derived from 177 unique patients. Approximately 32% of the tumoroids were from patients 50 years or younger, and 63% of patients have a treatment naïve sample in our repository. Ten percent of tumoroids were derived from T1-T2 tumors, 56% from T3 tumors, and 17% from T4 tumors. Additionally, 14% of tumoroids were derived from primary tumor recurrences while 6% were derived from metastases. Of the 78% of tumoroids with completely annotated clinical data, 8% were MSI-H, 11% were clinical complete responders, and 5.5% were pathologic complete responders. Lastly, complete IC50 data with clinical correlates has been established for 20% of tumoroids. These data show that tumoroids with a high sensitivity to chemotherapy (FOLFOX) correlated with a 3.3-fold increase in clinical complete response rates in the corresponding patients (p=0.0263). Conclusions: Integrating histopathological, clinicogenomic, and tumoroid response data, this expanding online resource provides a platform to identify valid biomarkers for patient treatment response. This publicly available biorepository built within cBioPortal is intuitive and flexible to accommodate and organize a wide range of data and has the potential to serve as an important resource in rectal cancer research.

Potential biomarkers for treatment response in advanced non-pancreatic neuroendocrine tumors.

599 Background: Well-differentiated NETs are highly vascular and hence, inhibition of angiogenesis is of interest. VEGF, a key molecule in promoting angiogenesis, has also been shown to promote an immunosuppressive tumor microenvironment. Nintedanib, an oral inhibitor of FGFR1–3, VEGFR1–3 and PDGFRA, has previously been evaluated in a phase II clinical trial in well-differentiated, non-pancreatic NETs, where 83% of the evaluable patients were progression-free at 16 weeks and median PFS was 11 months. In preclinical studies, nintedanib has been shown to increase PD-L1 expression in tumor cells, which then results in improved outcomes with immune checkpoint inhibition. There are multiple indicators of T-cell exhaustion, including PD-L1 and LAG-3. LAG-3+ T-cells have been found to correlate with poor response to treatment in neuroendocrine neoplasms. Given these findings, this study evaluates serum VEGF and LAG-3 expression to determine potential biomarkers of response in patients treated with nintedanib. Methods: 27 sets of paired samples collected at baseline and 8-weeks post treatment with nintedanib, from clinical trial NCT02399215 were used for this study. With IRB approval, we tested for serum VEGFa and serum LAG-3 using Luminex test kits: HCKP1-11K-01 (LAG-3) and HCYTA-60K-01 (VEGFa). We compared the baseline, 8-week, and percentage change in serum VEGF and serum LAG-3 levels with Rd Cd8+ pAkt+ T-cells (activated cytotoxic T-cells) as a marker of immune activation, Rd CD25+ pAkt+ T-cells (regulatory T-cells) as a marker of immune suppression, and PFS. Results: The median VEGF levels at baseline and 8-weeks were 10.50 pg/mL and 11.90 pg/mL respectively. The median LAG-3 level at baseline and 8-weeks were 59000 pg/mL and 62900 pg/mL respectively. Higher VEGFa levels in the post-treatment samples were associated with poorer progression free survival (HR= 1.009, 95% HR CI: [0.999, 1.019], with P= 0.0760). Higher levels of VEGF at baseline were also associated with lower numbers of Rd CD8+ pAkt + cells (Pearson coefficient = -0.42, p-value 0.04) at baseline. Increased baseline CD25+ pAkt+ levels were positively correlated with percent change in serum LAG-3 levels between baseline and post-treatment samples. (Pearson Co-efficient: 0.45; p=value: 0.02). Conclusions: Elevated serum VEGFa levels at 8-weeks post treatment correlated with lower PFS. Serum VEGFa level is a potential indicator of effector T-cell suppression, as evidenced by low number of activated cytotoxic T-cells in patients with higher VEGFa levels at baseline. Higher baseline regulatory T-cells were associated with a greater increase in serum LAG-3 levels, suggesting that serum LAG-3 may be an indicator of an immunosuppressive tumor microenvironment.

Urine Mast Cell Mediators in the Evaluation and Diagnosis of Mast Cell Activation Syndrome.

Mast cell activation syndrome is defined by severe, episodic, and recurrent symptoms induced by mast cell mediators with objective measurement of increase in biomarkers of mast cell activation and treatment response with mast cell therapies. Increase in serum tryptase from baseline during a mast cell activation episode is currently the most accepted biomarker measurement of mast cell release. However, during symptomatic episodes, serum tryptase can be difficult to obtain as it is a venipuncture procedure. Other objective measures of mast cell activation are needed to complement serum tryptase. Urine mast cell mediators can be collected at home and are non-invasive tests. There is emerging evidence for the utility of urine mast cell mediators including histamine, cysteinyl leukotrienes, and prostaglandins in the diagnosis of mast cell activation syndrome. In this review, clinically available urine mast cell mediators will be discussed including N-methylhistamine, leukotriene E4, and 2,3-dinor-11beta-prostaglandin F2 alpha. We discuss the rationale for the use of these urine mast cell mediators and examine the studies analyzing their performance for identifying mast cell activation.

Neurofilament light protein as a biomarker for spinal muscular atrophy: a review and reference ranges.

Spinal muscular atrophy (SMA) is the leading genetic cause of infant mortality, characterized by progressive neuromuscular degeneration resulting from mutations in the survival motor neuron (SMN1) gene. The availability of disease-modifying therapies for SMA therapies highlights the pressing need for easily accessible and cost-effective blood biomarkers to monitor treatment response and for better disease management. Additionally, the wide implementation of newborn genetic screening programs in Western countries enables presymptomatic diagnosis of SMA and immediate treatment administration. However, the absence of monitoring and prognostic blood biomarkers for neurodegeneration in SMA hinders effective disease management. Neurofilament light protein (NfL) is a promising biomarker of neuroaxonal damage in SMA and reflects disease progression in children with SMA undergoing treatment. Recently, the European Medicines Agency issued a letter of support endorsing the potential utilization of NfL as a biomarker of pediatric neurological diseases, including SMA. Within this review, we comprehensively assess the potential applications of NfL as a monitoring biomarker for disease severity and treatment response in pediatric-onset SMA. We provide reference ranges for normal levels of serum based NfL in neurologically healthy children aged 0-18 years. These reference ranges enable accurate interpretation of NfL levels in children and can accelerate the implementation of NfL into clinical practice.

Cortical glutamate, Glx, and total N-acetylaspartate: potential biomarkers of repetitive transcranial magnetic stimulation treatment response and outcomes in major depression

Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for individuals with major depressive disorder (MDD) who have not improved with standard therapies. However, only 30–45% of patients respond to rTMS. Predicting response to rTMS will benefit both patients and providers in terms of prescribing and targeting treatment for maximum efficacy and directing resources, as individuals with lower likelihood of response could be redirected to more suitable treatment alternatives. In this exploratory study, our goal was to use proton magnetic resonance spectroscopy to examine how glutamate (Glu), Glx, and total N-acetylaspartate (tNAA) predict post-rTMS changes in overall MDD severity and symptoms, and treatment response. Metabolites were measured in a right dorsal anterior cingulate cortex voxel prior to a standard course of 10 Hz rTMS to the left DLPFC in 25 individuals with MDD. MDD severity and symptoms were evaluated via the Inventory of Depression Symptomatology Self-Report (IDS-SR). rTMS response was defined as ≥50% change in full-scale IDS-SR scores post treatment. Percent change in IDS-SR symptom domains were evaluated using principal component analysis and established subscales. Generalized linear and logistic regression models were used to evaluate the relationship between baseline Glu, Glx, and tNAA and outcomes while controlling for age and sex. Participants with baseline Glu and Glx levels in the lower range had greater percent change in full scale IDS-SR scores post-treatment (p < 0.001), as did tNAA (p = 0.007). Low glutamatergic metabolite levels also predicted greater percent change in mood/cognition symptoms (p ≤ 0.001). Low-range Glu, Glx, and tNAA were associated with greater improvement on the immuno-metabolic subscale (p ≤ 0.003). Baseline Glu predicted rTMS responder status (p = 0.025) and had an area under the receiving operating characteristic curve of 0.81 (p = 0.009), demonstrating excellent discriminative ability. Baseline Glu, Glx, and tNAA significantly predicted MDD improvement after rTMS; preliminary evidence also demonstrates metabolite association with symptom subdomain improvement post-rTMS. This work provides feasibility for a personalized medicine approach to rTMS treatment selection, with individuals with Glu levels in the lower range potentially being the best candidates.

Liquid Biopsies for Monitoring Medulloblastoma: Circulating Tumor DNA as a Biomarker for Disease Progression and Treatment Response.

Pediatric brain tumors, including medulloblastoma (MB), represent a significant challenge in clinical oncology. Early diagnosis, accurate monitoring of therapeutic response, and the detection of minimal residual disease (MRD) are crucial for improving outcomes in these patients. This review aims to explore recent advancements in liquid biopsy techniques for monitoring pediatric brain tumors, with a specific focus on medulloblastoma. The primary research question is how liquid biopsy techniques can be effectively utilized for these purposes. Liquid biopsies, particularly the analysis of circulating tumor DNA (ctDNA) in cerebrospinal fluid (CSF), are investigated as promising noninvasive tools. This comprehensive review examines the components of liquid biopsies, including ctDNA, cell-free DNA (cfDNA), and microRNA (miRNA). Their applications in diagnosis, prognosis, and MRD assessment are critically assessed. The review also discusses the role of liquid biopsies in categorizing medulloblastoma subgroups, risk stratification, and the identification of therapeutic targets. Liquid biopsies have shown promising applications in the pediatric brain tumor field, particularly in medulloblastoma. They offer noninvasive means of diagnosis, monitoring treatment response, and detecting MRD. These biopsies have played a pivotal role in subgroup classification and risk stratification of medulloblastoma patients, aiding in the identification of therapeutic targets. However, challenges related to sensitivity and specificity are noted. In conclusion, this review highlights the growing importance of liquid biopsies, specifically ctDNA analysis in CSF, in pediatric brain tumor management, with a primary focus on medulloblastoma. Liquid biopsies have the potential to revolutionize patient care by enabling early diagnosis, accurate monitoring, and MRD detection. Nevertheless, further research is essential to validate their clinical utility fully. The evolving landscape of liquid biopsy applications underscores their promise in improving outcomes for pediatric brain tumor patients.

Evaluating microRNA-499 expression and serum IL-17, ACCP and PADI4 cytokine levels in rheumatoid arthritis patients undergoing anti-TNF alpha therapy

Introduction: Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease characterized by joint inflammation and damage. While anti-TNF-alpha therapies like infliximab have revolutionized RA, treatment response varies among patients. Identifying reliable biomarkers for treatment response is crucial for optimizing therapy and patient outcomes. MicroRNA-499 has been implicated in autoimmune diseases, and IL-17 is a key mediator in RA pathogenesis. Additionally, PADI4 and ACCP are linked to RA autoimmunity. This study aimed to investigate the potential of microRNA-499 expression, serum levels of IL-17, PADI4 and ACCP as biomarkers for predicting and monitoring treatment response in RA patients undergoing anti-TNF-alpha (infliximab) therapy. Methodology: In this case-control research, blood samples from 100 Iraqi patients with RA and 100 controls were collected. RNA was extracted and the levels of miRNA499 were quantified using real-time PCR. The serum IL-17, PADI4 and ACCP levels were determined using ELISA. Patients were sub-grouped as responders and non-responders based on their responses to anti-TNF-alpha (infliximab) treatment. Results: The mean age of the patients in this study was 46.22 years. The occurrence of RA was higher in age group (31-45) years. There was a significant association between RA, smoking and BMI. miRNA-499 expression was significantly higher in RA patients versus controls (1.1 folds in patients compared to 0.52 in control group). The serum levels of IL-17, PADI4 and ACCP was significantly higher in RA patients than controls (54.3ng/L, 2.52 ng/ml and 2.15 U/ml) vs (40.35ng/ L, 1.78 ng/ml and 1.06 U/ml) respectively. Subdividing of patients showed that miRNA-499 expression and serum IL-17, PADI4 and ACCP to be significantly higher in non-responders patients than responders. Conclusion: MicroRNA-499 expression, serum levels of IL-17, PADI4 and ACCP were found to be significantly higher in RA patients compared to control group as well as in non-responding than responding patients.