Assessment Of Biomarkers Research Articles

Biochemical markers of neuro-myocardial damage after pulmonary vein isolation: the effect of different energy sources

Abstract Background Pulmonary vein isolation (PVI) by thermal energy, both radiofrequency (RF) and cryoenergy(Cryo), is associated with a significant release of myocardial and collateral neural injury markers. Damage to periatrial ganglionated plexi also results in a substantial change in cardiac autonomic regulations. On the contrary, pulsed electric field (PEF) energy tends to spare cardiac neural tissue. Purpose To quantify the impact of different ablation energy sources that are used for PVI on neuro-myocardial damage by the assessment of specific biomarkers. Methods A study enrolled 85 patients with paroxysmal atrial fibrillation who underwent PVI (age: 61 ± 12 years, 74% males). In 23 patients, RF energy was delivered by the irrigated-tip catheter, while 30 patients were ablated using a second-generation cryoballoon catheter. In 32 patients, PVI was performed using a multipolar pentaspline catheter and PEF energy. Peripheral venous blood samples for assessing the plasmatic levels of S100 calcium-binding protein B (S100B), neuron-specific enolase (NSE), high-sensitivity troponin I and T (hsTnI and hsTnT) were obtained before, immediately after the PVI, and the next day (usually 18-24 hours after the procedure). Study groups were compared regarding absolute biomarker levels and hsTnT/S100B ratio (a surrogate of cardioselectivity). Results Following successful PVI, a significant increase in plasma levels of all biomarkers was observed: DhsTnT = 1040±434 ng/L, 1731±830 ng/L and 1010±397 ng/L; DhsTnI = 1504±918 ng/L, 16464±11911 ng/L and 10789±7589 ng/L; DS100B: 0.04±0.02 mg/L, 0.03±0.04 mg/L and 0.14±0.08 mg/L; DNSE: 34±72 ng/mL, 27±53 ng/mL and 45±52 ng/mL (all with P <0.001) for RF, PEF and Cryo groups, respectively. A direct comparison of maximal biomarker levels between study groups is depicted in the Figure. The hsTnT/S100B ratio was 23±14, 12±6, and 6±3 in PEF, RF, and Cryo groups, respectively (ANOVA P <0.01), indicating that PEF was 1.9-times and 3.8-times more cardioselective than RF and Cryo, respectively. Following the PVI, the heart rate accelerated by 2±8, 13±14, and 9±11 bpm in the PEF, RF, and Cryo groups, respectively. No correlation was observed between S100B release and HR acceleration (R = 0.07, P = 0.55). Conclusion Compared to thermal energy sources, PEF energy induces more specific damage to cardiomyocytes than cardiac nerves. There was no correlation between S100B release and HR acceleration.

Cardiac Biomarker Change at 1 Year After Tafamidis Treatment and Clinical Outcomes in Patients With Transthyretin Amyloid Cardiomyopathy.

Although tafamidis treatment improves prognosis in patients with wild-type transthyretin amyloid cardiomyopathy, an optimal surrogate marker monitoring its therapeutic effect remains unclear. This study investigated the association between changes in cardiac biomarkers, high-sensitivity cardiac troponin T (hs-cTnT) and B-type natriuretic peptide (BNP) during the first year after tafamidis treatment and clinical outcomes. In 101 patients with wild-type transthyretin amyloid cardiomyopathy receiving tafamidis at our institution, change in cardiac biomarkers from baseline to 1 year after tafamidis administration and its association with composite outcomes (composite of all-cause death and hospitalization attributable to heart failure) was assessed. During the follow-up period (median, 17 months), 16 (16%) patients experienced composite outcomes. The hs-cTnT level significantly decreased at 1 year after tafamidis treatment, unlike the BNP level. The frequencies of increased hs-cTnT and BNP levels were significantly higher in those with composite outcomes than in those without (44% versus 15%; P=0.01). Kaplan-Meier survival analysis showed that patients in whom both hs-cTnT and BNP levels increased at 1 year after tafamidis had a higher probability of composite outcomes compared with those with decreased hs-cTnT and BNP levels (log-rank P<0.01). Cox regression analysis identified increased hs-cTnT and BNP levels at 1 year after tafamidis administration as an independent predictor of higher cumulative risk of composite outcomes. Deterioration in cardiac biomarkers during the first year after tafamidis treatment predicted a worse prognosis, suggesting the utility of serial assessment of cardiac biomarkers for monitoring the therapeutic response to tafamidis in patients with wild-type transthyretin amyloid cardiomyopathy.

Acute exposure and biomarkers assessment in rainbow trout exposed to selected pharmaceuticals

Pharmaceuticals released from municipal effluents discharges pose a risk to aquatic organisms. The toxicity of 5 pharmaceuticals with distinct therapeutic actions were assessed in rainbow trout: olanzapine (antipsychotic), erythromycin (antibiotic), mycophenoate (immunosuppression), pinaverium (anti-inflammatory) and trazodone (sedative). Juveniles were exposed to these drugs for 96 h at concentrations between 64 µg/L up to 40 mg/L to reach lethality. Survival was determined and a suite of biomarkers was analyzed for drug biotransformation, oxidative stress/damage and metabolic activity at sublethal concentrations. The data revealed the following toxicity: olanzapine >trazodone>mycophenolate>pinaverium∼erythromycin based on mortality. The data also revealed that toxicity was associated to mass, pKa and hydrophobicity and the following sublethal effects: GST, LPO and DNA strand breaks. Pharmaceuticals with lower molecular weight, physiological pKa, moderate hydrophobicity, low biotransformation and DNA strand breaks were generally more toxic to fish. However, this should be considered as a general guide in identifying toxic pharmaceuticals in non-target organisms.

Assessment of Phthalate Esters and Physiological Biomarkers in Bottlenose Dolphins (Tursiops truncatus) and Killer Whales (Orcinus orca).

There is growing concern about the potential adverse health effects of phthalates (PAEs) on human health and the environment due to their extensive use as plasticizers and additives in commercial and consumer products. In this study, we assessed PAE concentrations in serum samples from aquarium-based delphinids (Tursiops truncatus, n = 36; Orcinus orca, n = 42) from California, Florida, and Texas, USA. To better understand the physiological effects of phthalates on delphinids, we also explored potential correlations between phthalates and the biomarkers aldosterone, cortisol, corticosterone, hydrogen peroxide, and malondialdehyde while accounting for sex, age, and reproductive stage. All PAEs were detected in at least one of the individuals. ΣPAE ranges were 5.995-2743 ng·mL-1 in bottlenose dolphins and 5.372-88,675 ng·mL-1 in killer whales. Both species displayed higher mean concentrations of DEP and DEHP. PAEs were detected in newborn delphinids, indicating transference via placenta and/or lactation. Linear mixed model results indicated significant correlations between aldosterone, month, location, status, and ΣPAEs in killer whales, suggesting that aldosterone concentrations are likely affected by the cumulative effects of these variables. This study expands on the knowledge of delphinid physiological responses to PAEs and may influence management and conservation decisions on contamination discharge regulations near these species.

Longitudinal assessment of plasma biomarkers for early detection of cognitive changes in subjective cognitive decline.

Individuals experiencing subjective cognitive decline (SCD) are at an increased risk of developing mild cognitive impairment and dementia. Early identification of SCD and neurodegenerative diseases using biomarkers may help clinical decision-making and improve prognosis. However, few cross-sectional and longitudinal studies have explored plasma biomarkers in individuals with SCD using immunomagnetic reduction. To identify plasma biomarkers for SCD. Fifty-two participants [38 with SCD, 14 healthy controls (HCs)] underwent baseline assessments, including measurements of plasma Aβ42, Aβ40, t-tau, p-tau, and α-synuclein using immunomagnetic reduction (IMR) assays, cognitive tests and the Mini-Mental State Examination (MMSE). Following initial cross-sectional analysis, 39 individuals (29 with SCD, 10 HCs) entered a longitudinal phase for reassessment of these biomarkers and the MMSE. Biomarker outcomes across different individual categories were primarily assessed using the area under the receiver operating characteristic (ROC) curve. The SCD subgroup with an MMSE decline over one point was compared to those without such a decline. Higher baseline plasma Aβ1-42 levels significantly discriminated participants with SCD from HCs, with an acceptable area under the ROC curve (AUC) of 67.5% [95% confidence interval (CI), 52.7-80.0%]. However, follow-up and changes in MMSE and IMR data did not significantly differ between the SCD and HC groups (p > 0.05). Furthermore, lower baseline plasma Aβ1-42 levels were able to discriminate SCD subgroups with and without cognitive decline with a satisfied performance (AUC, 75.0%; 95% CI, 55.6-89.1%). At last, the changes in t-tau and Aβ42 × t-tau could differentiate between the two SCD subgroups (p < 0.05). Baseline plasma Aβ42 may help identify people with SCD and predict SCD progression. The role of plasma Aβ42 levels as well as their upward trends from baseline in cases of SCD that progress to mild cognitive impairment and Alzheimer's disease require further investigation.

Sintilimab (anti-PD-1 antibody) plus chidamide (histone deacetylase inhibitor) in relapsed or refractory extranodal natural killer T-cell lymphoma (SCENT): a phase Ib/II study.

Anti-PD-1 antibodies are a favorable treatment for relapsed or refractory extranodal natural killer T cell lymphoma (RR-ENKTL), however, the complete response (CR) rate and the duration of response (DOR) need to be improved. This phase 1b/2 study investigated the safety and efficacy of sintilimab, a fully human anti-PD-1 antibody, plus chidamide, an oral subtype-selective histone deacetylase inhibitor in 38 patients with RR-ENKTL. Expected objective response rate (ORR) of combination treatment was 80%. Patients received escalating doses of chidamide, administered concomitantly with fixed-dose sintilimab in 21-days cycles up to 12 months. No dose-limiting events were observed, RP2D of chidamide was 30 mg twice a week. Twenty-nine patients were enrolled in phase 2. In the intention-to-treat population (n = 37), overall response rate was 59.5% with a complete remission rate of 48.6%. The median DOR, progression-free survival (PFS), and overall survival (OS) were 25.3, 23.2, and 32.9 months, respectively. The most common grade 3 or higher treatment-emergent adverse events (AEs) were neutropenia (28.9%) and thrombocytopenia (10.5%), immune-related AEs were reported in 18 (47.3%) patients. Exploratory biomarker assessment suggested that a combination of dynamic plasma ctDNA and EBV-DNA played a vital prognostic role. STAT3 mutation shows an unfavorable prognosis. Although outcome of anticipate ORR was not achieved, sintilimab plus chidamide was shown to have a manageable safety profile and yielded encouraging CR rate and DOR in RR-ENKTL for the first time. It is a promising therapeutic option for this population.

Design of a handheld and portable fluorescence imaging system for quantitative detection of pregnancy-specific biomarkers in cattle.

Reproductive management significantly impacts dairy farm productivity, necessitating accurate timely pregnancy detection in cattle. This paper presents a novel handheld and portable fluorescence imaging system designed for quantitative assessment of pregnancy-specific biomarkers, addressing the limitations of current detection methods. The objective was to develop a cost-effective, at-farm solution for detecting pregnancy-specific protein B (PSPB) in bovine plasma samples. The system integrates an imaging module and a custom software application, enabling image capture, data processing, and PSPB concentration determination. Calibration utilizing known PSPB concentrations achieved a 0.6ng/mL limit of detection. Validation encompassed a comparison with a standard ELISA method using 100 bovine plasma samples; minimal bias and good agreement were observed within the linear range of the calibration curve for both methods. The system offers portability, user-friendliness, and potential for multiplex detection, promising real-time, at-farm reproductive management. This study demonstrates the successful development and validation of a portable fluorescence imaging system, offering an efficient and accurate approach to detecting pregnancy-specific biomarkers in cattle. Its implications extend to improving dairy farm productivity by enabling timely and reliable reproductive management practices.

Clinical pharmacology considerations for first-in-human clinical trials for enzyme replacement therapy.

Inborn errors of metabolism (IEM) such as lysosomal storage disorders (LSDs) are conditions caused by deficiency of one or more key enzymes, cofactors, or transporters involved in a specific metabolic pathway. Enzyme replacement therapy (ERT) provides an exogenous source of the affected enzyme and is one of the most effective treatment options for IEMs. In this paper, we review the first-in-human (FIH) protocols for ERT drug development programs supporting 20 Biologic License Applications (BLA) approved by the Center for Drug Evaluation and Research (CDER) at the US Food and Drug Administration (FDA) in the period of May 1994 to September 2023. We surveyed study design elements across these FIH protocols including study population, dosage form, dose selection, treatment duration, immunogenicity, biomarkers, and study follow-up. A total of 18 FIH trials from 20 BLAs were identified and of those, 72% (13/18) used single ascending dose (SAD) and/or multiple ascending dose (MAD) study design, 83% (15/18) had a primary objective of assessing the safety and tolerability, 72% (13/18) included clinical endpoint assessments, and 94% (17/18) included biomarker assessments as secondary or exploratory endpoints. Notably, the majority of ERT products tested the approved route of administration and the approved dose was tested in 83% (15/18) of FIH trials. At last, we offer considerations for the design of FIH studies.

Prognostic utility of point-of-care measured bioadrenomedullin in patients presenting with acute heart failure at the emergency department

Abstract Funding Acknowledgements None. Background Acute heart failure (AHF) is a severe condition that is frequently encountered in the emergency department (ED). We aimed to investigate the role of bioadrenomedullin (bio-ADM)- a molecule previously shown to be associated with clinical congestion- as an early prognostic marker for short-term outcomes in patients presenting with AHF in the ED. Methods Seventy-six AHF patients were prospectively enrolled upon ED presentation. Clinical, echocardiography, standard laboratory and cardiac biomarker assessments were performed. Bio-ADM was measured from whole blood sample using a commercially available point-of-care immunoassay. We examined prognostic utility of bio-ADM for predicting 30-day mortality. Results Study group consisted of 61% males, of mean(±SD) age 71±13years, systolic blood pressure (SBP) 140±41mmHg, categorized according to AHF clinical phenotypes as 15(20%) pulmonary edema, 53(70%) decompensated chronic HF and 8(10%) cardiogenic shock. Median (IQR) creatinine, NTproBNP, hsTroponinT and bio-ADM were: 1.15(0.90-1.83)mg/dl, 5094(2836-12816)pg/ml, 38(24-91)pg/ml and 52.3(45-113)pg/ml, respectively. Levels of bio-ADM were higher in patients with cardiogenic shock compared to acute pulmonary edema and decompensated chronic HF [median (IQR): 266.8(101.9-500)pg/ml, 49.8(45-67.5)pg/ml and 47.4(45-97.5)pg/ml, respectively], (p=0.019). Log(bio-ADM) was significantly correlated with SBP (Spearman rho= -0.387, p=0.003), logCreatinine (rho=0.430, p&amp;lt;0.001), log(NTproBNP) (rho=0.430, p=0.003) and log(hsTroponinT) (rho= 0.386, p=0.003). During 30-days follow-up, 15 patients died. In ROC analysis, a bio-ADM cutoff of 64.8pg/ml predicted 30-day mortality with 75% sensitivity and 65% specificity (AUC 0.763, p=0.017). In a multivariable Cox proportional hazards model that included log(bio-ADM), log(NTproBNP) and logCreatinine and adjusted for AHF phenotype, only log(bio-ADM) seemed to be independently prognostic of 30-day mortality (HR,95%CI: 5.80, 0.97-34.66, p=0.054). Conclusions In a broad AHF population, point-of-care bio-ADM measured upon presentation at the ED is associated with worse clinical and biochemical AHF profiles and may provide independent prognostic information for 30-day mortality.30-day mortality by bio-ADM ≥ vs &amp;lt;64.8

Human immune and metabolic biomarker levels, and stress-biomarker associations, differ by season: Implications for biomedical health research

Although seasonal changes in physiology are well documented, little is known about how human immune and metabolic markers vary across seasons, and no studies have examined how stress → health biomarker associations differ across the year. To investigate these issues, we analyzed data from 2118 participants of the Midlife in the United States (MIDUS) study to determine whether there were differences in (a) levels of 19 immune and metabolic markers, and (b) the association between perceived stress and each biomarker across the year. Results of component-wide boosted generalized additive models revealed seasonal patterning for most biomarkers, with immune proteins generally peaking when days were shorter. Moreover, whereas levels of hemoglobin A1C rose from late fall to spring, triglycerides were elevated in the summer and fall, and high-density lipoprotein decreased steadily from January to December. Urinary cortisol and cortisone exhibited opposite patterns, peaking at the beginning and end of the year, respectively. Most critically, we found that the effects of perceived stress on 18 of the 19 health biomarkers assessed varied by month of measurement. In some cases, these differences involved the magnitude of the stress → biomarker association but, in other cases, it was the direction of the effect that changed. Studies that do not account for month of biomarker assessment may thus yield misleading or unreproducible results.

Pharmacokinetics/pharmacodynamics of benralizumab in chronic rhinosinusitis with nasal polyps: Phase III, randomized, placebo-controlled OSTRO trial.

Benralizumab, a humanized, afucosylated monoclonal antibody against the interleukin 5 receptor, α subunit, causes rapid depletion of eosinophils by antibody-dependent cellular cytotoxicity. We investigated the pharmacokinetic and pharmacodynamic effects of benralizumab in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) from the phase III OSTRO trial. Patients received a placebo or 30 mg of benralizumab by subcutaneous injection every 8weeks (first three doses every 4weeks) to week 48; a subset of patients continued in an extended follow-up period to assess treatment durability to week 80. Serum benralizumab concentrations and blood eosinophil and basophil counts were assessed to week 80. Biomarker assessments were performed on nasal polyp tissue biopsies at week 56 and nasal lining fluid at weeks 24 and 56 to examine changes in immune cells and inflammatory mediators. Among 185 patients in this analysis, 93 received benralizumab. Serum benralizumab concentrations reached a steady state by week 24 (median concentration 385.52 ng mL-1); blood eosinophils were almost fully depleted and blood basophils were reduced between weeks 16 and 56. Nasal polyp tissue eosinophils decreased with benralizumab from 57.6 cells mm-2 at baseline to 0 cells mm-2 at week 56 (P< .001 vs placebo), and tissue mast cells were numerically reduced. In nasal lining fluid, eosinophil-derived neurotoxin was significantly reduced at weeks 24 and 56 (P< .001) and interleukin-17 at week 56 (P< .05) with benralizumab. Benralizumab treatment led to rapid, sustained, nearly complete depletion of eosinophils from blood and nasal polyp tissue in patients with CRSwNP.

Radioligand therapies in meningioma - evidence and future directions.

Meningiomas are the most common intracranial neoplasms in adults. While most meningiomas are cured by resection, further treatment by radiotherapy may be needed, particularly in WHO grade 2 and 3 tumors which have an increased risk of recurrence, even after conventional therapies. Still, there is an urgent need for novel therapeutic strategies after exhaustion of local treatment approaches. Radionuclide therapies combine the specificity of tumor-specific antibodies or ligands with the cytotoxic activity of radioactive emitters. Alongside, integrated molecular imaging allows for a non-invasive assessment of predictive biomarkers as treatment targets. Whereas the concept of "theranostics" has initially evolved in extracranial tumors such as thyroid diseases, neuroendocrine tumors, and prostate cancer, data from retrospective case series and early phase trials underscore the potential of this strategy in meningioma. This review aims to explore the available evidence of radionuclide treatments and ongoing clinical trial initiatives in meningioma. Moreover, we discuss optimal clinical trial design and future perspectives in the field, including compound- and host-specific determinants of the efficacy of "theranostic" treatment approaches.

Integrative clinical, hormonal, and molecular data associate with invasiveness in acromegaly: REMAH study.

Growth hormone (GH)-secreting pituitary tumors (GHomas) are the most common acromegaly cause. At diagnosis, most of them are macroadenomas, and up to 56% display cavernous sinus invasion. Biomarker assessment associated with tumor growth and invasion is important to optimize their management. The study aims to identify clinical/hormonal/molecular biomarkers associated with tumor size and invasiveness in GHomas and to analyze the influence of pre-treatment with somatostatin analogs (SSAs) or dopamine agonists (DAs) in key molecular biomarker expression. Clinical/analytical/radiological variables were evaluated in 192 patients from the REMAH study (ambispective multicenter post-surgery study of the Spanish Society of Endocrinology and Nutrition). The expression of somatostatin/ghrelin/dopamine system components and key pituitary/proliferation markers was evaluated in GHomas after the first surgery. Univariate/multivariate regression studies were performed to identify association between variables. Eighty percent of patients harbor macroadenomas (63.8% with extrasellar growth). Associations between larger and more invasive GHomas with younger age, visual abnormalities, higher IGF1 levels, extrasellar/suprasellar growth, and/or cavernous sinus invasion were found. Higher GH1 and lower PRL/POMC/CGA/AVPR1B/DRD2T/DRD2L expression levels (P < .05) were associated with tumor invasiveness. Least Absolute Shrinkage and Selection Operator's penalized regression identified combinations of clinical and molecular features with areas under the curve between 0.67 and 0.82. Pre-operative therapy with DA or SSAs did not alter the expression of any of the markers analyzed except for DRD1/AVPR1B (up-regulated with DA) and FSHB/CRHR1 (down-regulated with SSAs). A specific combination of clinical/analytical/molecular variables was found to be associated with tumor invasiveness and growth capacity in GHomas. Pre-treatment with first-line drugs for acromegaly did not significantly modify the expression of the most relevant biomarkers in our association model. These findings provide valuable insights for risk stratification and personalized management of GHomas.

Abstract PO4-26-01: Computational pathology: Revolutionizing diagnostics and clearing the way for precision medicine

Abstract While targeted cancer therapies often rely on subjective and semi-quantitative visual assessment of protein biomarkers by pathologists through immunohistochemically stained tissue, the transformative force of computational pathology is reshaping healthcare by unleashing unprecedented diagnostic accuracy and unlocking personalized treatments. In recent years, we have established a large integrated computational pathology unit to foster collaboration between interdisciplinary teams of computer scientists, pathologists, molecular biologists, and data scientists. This integration of cutting-edge technologies enabled us to develop a computational pathology approach called Quantitative Continuous Scoring (QCS). QCS deploys the power of Deep Learning (DL) to provide objective and continuous expression data of biomarkers in digitized IHC whole slide images (WSI), particularly of proteins expressed at low levels. While manual scoring of IHC WSIs is limited by subjectivity and semi-quantitative assessment of protein expression, QCS overcomes these limitations with an unprecedented accuracy. QCS utilizes two DL-based algorithms, which we developed fully supervised by using pathologist input as the reference standard. These algorithms identify invasive tumour areas and segment each tumour cell across the WSI into cell nuclei, cytoplasm and membrane. Based on an accurate subcellular segmentation, we can compute biomarker expression, on a continuous scale, as mean Optical Density (OD) in each subcellular compartment based on the Hue-Saturation-Density (HSD) model. Therefore, this approach enables precise detection of the low biomarker expression range with single-cell resolution. Importantly, it also allows the computation of the spatial distribution of tumour cells across the WSI. We have successfully used QCS to drive the selection of antibody clones for IHC assays and to delineate the mode of action and PK/PD mechanisms. Of note, the combination of assessing continuous target expression and capturing the spatial distribution of tumor cells has provided surrogate markers to predict potential bystander activity of antibody drug conjugates (ADCs). This approach outperformed traditional pathologist scoring in identifying patient populations having maximum treatment benefit through retrospective analysis of multiple clinical trials. At present, all computational pathology approaches are developed based on conventional IHC assays that have been optimized for manual scoring. Importantly, we draw a vision in which the assay serves as a critical catalyst for unleashing the full potential of computational pathology by providing high-quality, standardized data inputs. We suggest an approach utilizing orthogonal methods as a reference standard to develop highly sensitive IHC assays, capable of detecting even subtle molecular and cellular changes with precision and exhibiting exceptional specificity for accurately identifying and distinguishing target biomarkers from background noise. In summary, we here describe and discuss a computational pathology-based approach for precise biomarker quantification and superior patient selection with broad applicability and the potential to transform the very fabric of how we diagnose and treat cancer. Citation Format: Mark Gustavson, Markus Schick, Ansh Kapil, Anatoliy Shumilov, Carl Barrett, Hadassah Sade. Computational pathology: Revolutionizing diagnostics and clearing the way for precision medicine [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-26-01.

Abstract PO4-19-12: Trial in progress: An Observational Study to Examine Changes in Metabolic Syndrome Components in Patients With Breast Cancer Receiving (Neo)Adjuvant Aromatase Inhibitors

Abstract Background: (Neo) adjuvant systemic therapy has been shown to adversely impact metabolic health manifested as weight gain, dyslipidemia, and insulin resistance, which ultimately lead to the development of metabolic syndrome (MetS). MetS increases the risk of development for type 2 diabetes mellitus and cardiovascular disease and is associated with an increased risk of breast cancer recurrence, death due to breast cancer, and all-cause mortality. We have previously reported that 76% of metabolically healthy women receiving (neo) adjuvant chemotherapy will develop MetS at a median of 15 weeks. The impact of aromatase inhibitors (AIs) on metabolic health has not been systematically assessed in a longitudinal study. We hypothesize that AIs in the (neo) adjuvant setting will alter metabolic parameters and have embarked on a clinical trial to study this. Methods: This is a prospective observational study that will include: postmenopausal patients with newly diagnosed, early-stage hormone receptor (HR)-positive breast cancer with planned (neo)adjuvant treatment with an AI. Participants will be excluded if they have received or have planned treatment with (neo)adjuvant chemotherapy or are currently receiving antidiabetic medications or cholesterol-lowering agents. All patients will undergo a baseline assessment that includes: BMI, physical exam inclusive of blood pressure, waist circumference, assessment of body fat, lipid profile, insulin, metabolic biomarkers, and completion of the Functional Assessment of Cancer Therapy – Endocrine Symptoms (FACT-ES). Following institution of an AI, reassessment of the aforementioned tests will be repeated after 4 months and 12 months of therapy. The primary endpoint is the change in insulin resistance (as measured by HOMA-IR, homeostatic model assessment for insulin resistance) at 4 months. Secondary endpoints include the change in HOMA-IR at 12 months and the change in individual MetS components, metabolic biomarkers, anthropometric measurements, as well as FACT-ES scores from baseline to 4- and 12-months of AI treatment. The mean paired differences will be calculated for HOMA-IR measurements as well as for the secondary endpoints, and the 1-sided paired t-test will be used to test for statistical significance. One-way analysis of covariance will be used to compare means while adjusting for age, race/ethnicity, and BMI. Using a 1-sided paired t-test for the mean difference in HOMA-IR measurements from baseline to 4 months, we will have 80% power to detect an effect size of 0.405 with 40 patients (α = 0.05). Enrollment began in April 2023 and is ongoing. Contact alevee@coh.org for more information. Given the increased recognition of the importance of metabolic health in breast cancer outcomes, this data will inform future trials that focus on maintaining metabolic health in breast cancer survivors. Citation Format: Alexis LeVee, Nora Ruel, Victoria Seewaldt, Joanne Mortimer. Trial in progress: An Observational Study to Examine Changes in Metabolic Syndrome Components in Patients With Breast Cancer Receiving (Neo)Adjuvant Aromatase Inhibitors [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-19-12.

Abstract PO1-02-08: Comprehensive Molecular Profiling of Breast Cancer: A real-time PCR assay for identifying ESR1, PGR, ERBB2, MKI67 and a novel proliferative signature in core needle biopsies and resected invasive breast cancer tissues

Abstract Background: Accurate status determination of breast cancer (BC) biomarkers, including estrogen receptor (ER/ESR1), progesterone receptor (PR/PGR), human epidermal growth factor receptor 2 (HER2/ERBB2), and marker of proliferation Ki67 (MKI67), is crucial for guiding therapeutic decisions. However, current “gold standard” methods such as immunohistochemistry (IHC) for assessing these biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues face challenges in standardization and exhibit substantial inter- and intra-laboratory variability, particularly for Ki67. To address these limitations, APIS Breast Cancer Subtyping Kit has been developed, utilizing reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) to evaluate the status of ER, PR, HER2, KI67, and a novel proliferative signature in breast cancer core needle biopsy (CNB) and resected specimens. The APIS Breast Cancer Subtyping Kit offers enhanced accuracy, improved reproducibility, and the ability to provide results in a timely manner. Herein we report the development and validation of the APIS Breast Cancer Subtyping Kit, assessing clinical performance using retrospective and prospective sample collection. Furthermore, reproducibility and reliability across three testing sites were evaluated. By comparing the results of the kit with those obtained through standard IHC, we demonstrate the reliability and utility of the APIS Breast Cancer Subtyping Kit for precise breast cancer subtyping and guiding personalized patient management decisions. Methods: FFPE tissue sections (n=652) taken by CNB or resection underwent histological analysis in accordance with laboratory’s standard of care methods. Samples with a HER2 score of 2+ were referred to fluorescence in situ hybridization (FISH) to determine ERBB2 amplification, with the FISH result replacing the IHC result in determining the HER2 status (positive/negative) of the sample. Tumors with greater than 1% positive stained nuclei for ER/PR were scored positive. A cut-off of 20% Ki67 staining was used for positive/negative status. The performance was assessed as the agreement with IHC/ISH status and reported as OPA (overall percent agreement) with corresponding 95% confidence intervals (95% CI). To assess the precision of the assay, a panel of RNA pools (samples) was repeatedly measured on different days across three independent laboratories. Reproducibility was evaluated using variance components analysis. Results: The APIS Breast Cancer Subtyping Kit showed high concordance (OPA) with IHC: 93.1% (95% CI: 90.9-94.8) for ER, 86.8% (95% CI: 84.0-89.2) for PR, 94.2% (95% CI: 92.2-95.8) for HER2 (IHC/FISH), 78.3% (95% CI: 75.0-81.3) for Ki67, and 80.1% (95% CI: 76.8-83.1) for proliferative signature (assessed against MKI67 IHC status). Inter-site reproducibility demonstrated excellent agreement in quantitative measurements, with a total SD ranging from 0.00 to 0.22. Binary single-marker status (positive/negative) calling achieved 100% reproducibility for ER, PR, and HER2 for all tested samples (negative/low positive/medium positive), as well as for most Ki67 samples (87% agreement for negative samples). Conclusions: APIS Breast Cancer Subtyping Kit demonstrated a high level of concordance with standard of care IHC/FISH in assessing breast cancer biomarker status. These findings suggest that the APIS Breast Cancer Subtyping Kit provides highly precise and reproducible quantitative assessment of BC biomarkers and molecular subtypes. Inclusion and exclusion criteria Citation Format: Anna Gasior, Joanna Gorniak, Sara Rollinson, Leanne Gough, Anne-Sophie Wegscheider, Axel Niendorf. Comprehensive Molecular Profiling of Breast Cancer: A real-time PCR assay for identifying ESR1, PGR, ERBB2, MKI67 and a novel proliferative signature in core needle biopsies and resected invasive breast cancer tissues [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-02-08.

Abstract PO2-19-03: Phase 2 study of response-guided neoadjuvant sacituzumab govitecan in patients with localized breast cancer (NeoSTAR)

Abstract Background: Optimizing treatments for localized breast cancer is key to preventing metastatic recurrences and reducing mortality. Sacituzumab Govitecan (SG) is a novel antibody-drug conjugate in which the topoisomerase 1 inhibitor SN-38 (the active metabolite of irinotecan) is coupled to a humanized monoclonal antibody targeting the antigen Trop-2, which is highly expressed in triple negative breast cancer (TNBC). SG is FDA approved for patients with metastatic hormone receptor-positive (HR+) and TNBC. However, efficacy in localized BC is not known. The NeoSTAR clinical trial is evaluating SG in the neoadjuvant (NA) setting for participants with localized breast cancer. Cohort A1 evaluating NA SG monotherapy in localized TNBC is completed, and now cohorts A2 (SG + pembrolizumab (P) for TNBC), B1 (SG monotherapy for HR+ BC), and C (SG + P for HER2- inflammatory breast cancer (IBC)) are enrolling. Trial design: This is a single-arm phase II study of NA SG or SG + P with multiple cohorts across different breast cancer subtypes. In all cohorts, SG is administered via an IV infusion on days 1 and 8 of each 21-day cycle at a starting dose of 10 mg/kg for 4 cycles. For cohorts A2 and C, pembrolizumab is given on day 1 of each cycle. For A2 and B1, after 4 cycles, participants who have biopsy-proven residual disease will have the option to receive additional standard NA therapy at the discretion of the treating physician and subsequently proceed to surgery. Those with a complete response on imaging may proceed directly to surgery. If pathological complete response (pCR) is achieved after 4 cycles of SG + P, participants on A2 will remain on study and receive adjuvant weekly paclitaxel and carboplatin for 12 weeks along with continuation of P to complete a total of one year of the PD-1 inhibitor; participants on B1 will receive adjuvant therapy at the discretion of the treating physician, with the option to continue P to complete a total of one year. On cohort C, after 4 cycles of SG + P, dose-dense doxorubicin + cyclophosphamide + P for 4 cycles will be given before considering surgery. A baseline research biopsy is required for all cohorts, as well as tissue collection following treatment with SG (either at surgery or via biopsy prior to additional NA therapy). Eligibility criteria: Participants ≥ 18 years of age with previously untreated localized breast cancer as determined by the local institution will be enrolled. For A2, participants must either have a primary tumor &amp;gt;2 cm or be node positive. For B1, participants with anatomic clinical stage II-III breast cancer with primary tumor &amp;gt; 1.5 cm and high genomic risk are eligible. For the IBC cohort (C), participants with T4d and any N are eligible. An ECOG performance score of 0 or 1, and adequate bone marrow, hepatic, and renal function is required. Study Objectives: The primary objective is to assess the pCR rate in breast and lymph nodes (ypT0/isN0) with SG + P (A2), SG (B1), or SG + P followed by AC + P (C). Secondary objectives include assessment of overall response rate, evaluation of the safety and tolerability of SG or SG + P (CTCAE v5.0), event-free survival (EFS), and quality of life (EORTC QLQ-C30). Exploratory objectives include assessment of potential predictive biomarkers, including Trop-2 expression, DNA damage response markers and immunological markers, as well as changes in cell free DNA with SG. Statistical methods: The primary analysis is based on the estimated pCR rate with SG or SG + P and will be provided as a proportion (with two-sided 95% confidence interval). Each cohort will follow a Simon two-stage design. EFS will be analyzed using Kaplan-Meier methods and descriptive statistics. Target Accrual: 50 participants (A2), 56 participants (B1), 39 participants (C) Contact: Dr. Laura Spring (LSpring@mgh.harvard.edu) Clinicaltrials.gov #: NCT04230109 Citation Format: Laura Spring, Ana Garrido-Castro, Filipa Lynce, Nadine Tung, Rachel Abelman, Lianne Ryan, Megan Moran, Elizabeth Mittendorf, Leif Ellisen, Sara Tolaney, Aditya Bardia. Phase 2 study of response-guided neoadjuvant sacituzumab govitecan in patients with localized breast cancer (NeoSTAR) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-19-03.

Abstract PO1-28-08: The Efficacy and Safety Results of Neoadjuvant Phase II study of Anlotinib plus Sintilimab Combined with Chemotherapy in Triple-negative Breast Cancer (NeoSACT)

Abstract Background: In triple-negative breast cancer (TNBC), the co-administration of programmed mortality 1 (PD-1) inhibitors and chemotherapy has demonstrated enhanced pathological complete response (pCR) rates and improved event-free survival (EFS). Previous research has suggested that antiangiogenic agents possess the ability to normalize aberrant tumor vasculature, thereby converting the immune-suppressive tumor microenvironment into an immune-supportive one. This study aims to assess the effectiveness and safety of combining the neoadjuvant small-molecule antiangiogenic drug Antilotinib with the PD-1 inhibitor Sintilimab and chemotherapy. Methods: In this study, a single-arm, open-label, phase II trial was conducted to evaluate the effectiveness of Anlotinib plus Sintilimab, in conjunction with nab-paclitaxel and carboplatin, followed by epirubicin and cyclophosphamide, in eligible patients with stage II-III TNBC. The treatment regimen consisted of four cycles of nab-paclitaxel (100 mg/m² on day 1, 8 and 15) plus carboplatin (AUC 5) every 21 days, followed by four cycles of epirubicin (90 mg/m2) plus cyclophosphamide (600 mg/m2) every 21 days. Additionally, patients received Sintilimab (200mg) every 21 days and Antilotinib (12mg, po on day 1-14, every 21 days) for eight cycles. Patient enrollment was conducted according to a Simon two-stage design. The primary endpoint was the rate of pCR based on the definition of ypT0/Tis ypN0. Secondary endpoints included residual cancer burden (RCB), EFS, overall survival (OS), adverse events (AE), and immune response biomarkers. Results: Between September 2021 and August 2023, a cohort of 31 patients was enrolled, with a median age of 48 years (range: 30-70 years). Among the participants, 21 out of 31 (67.8%) presented with clinical stage II disease, 23 out of 31 (74.2%) had T2 tumors, and 19 out of 31 (61.3%) exhibited clinically positive lymph nodes. In the initial phase of the study, a total of 11 patients were evaluated, out of which 7 patients achieved a pathological complete response (pCR) after surgery. Consequently, 20 patients were included in the subsequent stage, and among the 19 patients who were evaluable, 13 achieved pCR. One participant withdrew from the study prematurely following the third cycle due to grade 3 liver impairment, resulting in the discontinuation of study therapy as well as subsequent surgery. In the intention-to-treat (ITT) population, the overall pCR rate was determined to be 64.5% (20/31, 95% CI 45.4% - 80.8%). Additionally, 80.6% (25/31, 95%CI 62.5% - 92.5%) of the patients were assessed as having a RCB score of 0 or 1. A total of 31 patients were subjected to adverse event assessment. Among them, 12 patients (38.7%) experienced one or more grade 3/4 adverse events (AEs) according to the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. The grade 3/4 AEs encompassed rash (7 patients, 22.6%), anemia (4 patients, 12.9%), thrombocytopenia (3 patients, 9.7%), neutropenia (2 patients, 6.4%), leukopenia (2 patients, 6.4%), hypothyroidism (2 patients, 6.4%), and elevated AST/ALT (1 patient, 3.2%). Conclusions: The neoadjuvant regimen comprising the combination of Anlotinib and Sintilimab alongside chemotherapy demonstrated a pCR rate of 64.5%, with no observed emergence of novel toxicity signals. Ongoing investigations encompass biomarker assessments and survival analyses. Pertinent clinical trial details can be found under the identifier NCT04877821. Citation Format: Liulu Zhang, Mei Yang, Ciqiu Yang, Teng Zhu, Hong-Fei Gao, Kun Wang. The Efficacy and Safety Results of Neoadjuvant Phase II study of Anlotinib plus Sintilimab Combined with Chemotherapy in Triple-negative Breast Cancer (NeoSACT) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-28-08.

Abstract PO5-15-01: Prospective Biomarker Assessment of Cardiotoxicity Among Ethnically Diverse Women with Early Breast Cancer

Abstract Background: Approximately 4.1 million women in the United States are living with breast cancer1. Cardiac dysfunction is a significant adverse effect of commonly used breast cancer therapies like doxorubicin (D) and trastuzumab (T). The cardiotoxicity (CTox) associated with these agents manifests as a reduction in left ventricular ejection fraction (LVEF) with or without signs and symptoms of heart failure. Purpose: The objective of this study is to evaluate serum cardiac and inflammatory biomarkers over time and their association with CTox development. Methods: A total of 133 newly diagnosed stage I-III invasive breast cancer patients were enrolled in a prospective clinical trial (2013-2017) and received standard of care T and/or D based systemic therapy. They underwent serial echocardiograms every 6 months for two years and then based on clinical need for a total of six years. CTox was defined as a &amp;gt;10% drop in LVEF, and/or LVEF &amp;lt; 50%. Biomarker data was collected at baseline, 12 and 24 months and included both cardiac biomarkers (Troponin-I, TN-I and amino terminal B-type natriuretic peptide, NT-proBNP) and measures of inflammation (C-reactive protein, CRP). Of the 32 with CTox patients, 15 had adequate serum samples and were matched with 15 patients without CTox (N=30), controlling for age, race, and treatment regimen prior to serum sample analysis. Results: The mean LVEF at baseline was similar between CTox and non-CTox patients (64% vs 62%, p=0.342). However, over the course of 12 and 24 months, CTox patients experienced a statistically significant decrease in LVEF compared to their baseline values (55% and 56%, respectively, p &amp;lt; 0.001). At baseline, CTox patients had higher CRP levels compared to non-CTox (13.4 mg/L vs 3.35 mg/L), however this difference did not reach statistical significance (P &amp;gt;0.05). Although this difference seemed to narrow at 12 months (3.88 mg/L vs 1.52 mg/L, p&amp;lt; 0.05) and 24 months (6.85 mg/L vs 2.36 mg/L, p&amp;lt; 0.05), CTox patients consistently had higher mean CRP levels. Mean TN-I levels increased at both 12 and 24 months compared to baseline (CTox 1.13 ng/L, 7.13 ng/L, 4.13 ng/L vs non-CTox 0.800 ng/L, 8.13 ng/L, 4.60 ng/L, p&amp;lt; 0.05) but there were no significant differences between the two groups (p &amp;gt;0.05). While baseline NT-proBNP levels did not differ significantly between the CTox and non-CTox patients, there were statistically significant increases in CTox patients at 12 and 24 months (205 pg/mL vs 74 pg/mL, and 200 pg/mL vs 96 pg/mL, p &amp;lt; 0.01, respectively). Conclusion: In a well characterized, diverse, matched subset of patients with early breast cancer who were prospectively followed with serial echocardiograms, distinct biomarker patterns were observed. Measures of inflammation (CRP) at baseline were different and these changes appeared to diminish over time. While the cardiac biomarker TN-I appeared to increase in both +CTox and -CTox group over time, only those with differential NT-proBNP elevations were associated with cardiotoxicity. 1Lisa Gallicchio, PhD and others, Estimation of the Number of Individuals Living With Metastatic Cancer in the United States, JNCI: Journal of the National Cancer Institute, Volume 114, Issue 11, November 2022, Pages 1476–1483 Citation Format: Shahzaad Jahangier, Rubina Qamar, Maharaj Singh, Vinay Thohan, James Weese, Bijoy Khandheria, Anna Kamke-Jordan. Prospective Biomarker Assessment of Cardiotoxicity Among Ethnically Diverse Women with Early Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-15-01.

Abstract PO5-14-10: Dynamics and prognostic value of subtype specific TROP2 expression in matched pair samples of primary (PBC) and metastatic breast cancer (MBC) tissues

Abstract Background: The genotype and phenotype of breast cancer may change during disease progression. This is of particular interest in the advent of targeted treatment adressing extracellular targets such as TROP2, which serves as chemotherapy carrier rather than being required for tumor cell survival. In addition, technical issues may affect biomarker assessment when comparing primary breast cancer (PBC) tissues with biopsies of metastatic breast cancer (MBC) tissues at distant sites. Here we analyzed TROP2 expression on mRNA level by RT-qPCR in primary tumor and metastatic tissues on basis of molecular subtyping to determine subtype specificity and target gene stability/dynamics. Methods: The tumor bank of a single institution was screened for paraffin-embedded pairs of PBC and MBC tissue samples and a total of 34 matched PBC and MBC pairs were retrieved. RNA was extracted using a bead-based extraction method (RNXtract® IVD kits, Cerca Biotech). Multiplex RT-qPCR was performed using TaqMan® based primer probe sets for ESR1/PGR/ERBB2 and MKI67 (MammaTyper® IVD kits, Cerca Biotech) as well as TROP2 (TargetTyper RUO kits, STRATIFYER Molecular Pathology GmbH). Correlation analysis, Scatter Plots, Partitioning tests and Kaplan Meier analysis were performed using the SAS JMP® 9.0.0 software. Results: Samples from 34 patients with MBC and PBC were available. Positivity of PBC RT-qPCR for ESR1, PGR and HER2 was 78%, 70% and 3%. The overall agreement between matched primary and metastatic lesions 90%, 70% and 100% for RT-qPCR of ESR1, PGR and HER2. Median expression of TROP2 was 2 fold lower in metastatic tissues compared to matched primary tumor tissues, while the lower quartile of mRNA expression dropped 4 fold. In primary tumor tissues TROP2 expression was significantly associated with PGR and HER2 expression (Spearman r=0.5284 p=0.0013 and r=0.3950 p=0.0208; respectively), while no significant association was found for ESR1 and MKI67. In contrast, no significant association with neither PGR nor HER2 was found (Spearman r=0.0461 p=0.8041 and r=0.0461 p=0.7955; respectively), while TROP2 trended to be associated with MKI67 in metastatic lesions (Spearman r=0.3247 p=0.0610). In line with the strong positive association of TROP2 with PGR in primary tumor tissues, elevated TROP2 levels were associated with substantially longer median distant metastasis free survival of 72 months, while TROP2 negative tumors exhibited a median DDFS of only 24 months (p=0,0091). In contrast, no prognostic value for TROP2 mRNA level could be determined from metastatic lesions and determining the time from initial metastasis until death. Conclusion: In this selected matched pair, metastatic cohort, TROP2 mRNA in primary tumors is strongly associated with luminal type of breast cancer expressing higher levels of PGR mRNA, while no such correlation was found in matched metastatic tissues. Moreover, TROP2 is significantly downregulated in metastatic lesions. As TROP2 is expressed in luminal tumors, it may serve as a valuable target for luminal tumors of higher progression risk. However, TROP2 expression is unstable and requires careful decision making on actual biopsies rather than archival tissue samples. Citation Format: Thomas Deutsch, Ralph Wirtz, Stefan Stefanovic, Andreas Hartkopf, Hans-Peter Sinn, Andreas Schneeweiss, Markus Wallwiener. Dynamics and prognostic value of subtype specific TROP2 expression in matched pair samples of primary (PBC) and metastatic breast cancer (MBC) tissues [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-14-10.