Assessment Of Biomarkers Research Articles

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 >2 cm or be node positive. For B1, participants with anatomic clinical stage II-III breast cancer with primary tumor > 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 >10% drop in LVEF, and/or LVEF < 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 < 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 >0.05). Although this difference seemed to narrow at 12 months (3.88 mg/L vs 1.52 mg/L, p< 0.05) and 24 months (6.85 mg/L vs 2.36 mg/L, p< 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< 0.05) but there were no significant differences between the two groups (p >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 < 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.

Abstract PO2-16-02: RBsig gene-expression signature in patients with endocrine resistant metastatic breast cancer treated with palbociclib and fulvestrant in the PYTHIA trial

Abstract Background: We have previously identified RBsig, a gene-expression signature of resistance to CDK4/6 inhibitors composed of E2F1/E2F2 dependent genes, which is associated with genetic loss of RB1. Although RBsig has been previously tested in vitro and in clinical trials with CDK4/6 inhibitors, further clinical validation is needed. Additionally, data on the correlation of RBsig with other prognostic/predictive biomarkers for CDK4/6 inhibitors such as serum Thymidine Kinase activity (sTKa), is lacking. Here, we aimed to investigate RBsig in patients (pts) treated with palbociclib (P) + fulvestrant (F) within the PYTHIA trial (IBCSG 53- 14/BIG 14-04; NCT02536742), a downstream trial of the AURORA molecular program (BIG 14-01; NCT02102165). Methods: PYTHIA is a biomarker discovery phase II trial which enrolled 122 pts with endocrine-resistant ER+ and HER2 - metastatic breast cancer (MBC) who received P+F at standard schedule and dose. We analyzed a subset of 38 pts enrolled in PYTHIA and successfully included in AURORA who had available RNAseq from tumor tissue samples (24 primary, 24 metastatic, 10 both). Ki67 by IHC was also available. The PYTHIA biomarker assessment included sTKa at baseline and during treatment (D15 and D28) measured using DiviTumÒ TKa (Biovica International). Evaluation of the prognostic role of RBsig was a pre-specified primary objective of PYTHIA. RBsig is composed of 87 genes and was calculated as previously described. Wilcoxon rank sum test was used to compare continuous RBsig values between groups defined by sTKa. Median progression free survival (mPFS) was estimated using Kaplan-Meier method for groups defined by dichotomizing RBsig at zero. Results: Median RBsig was higher in metastatic than in primary samples; in paired samples, RBsig increased in metastatic for 7/10 pts vs primary. When evaluated as continuous variables, RBsig correlated with tissue Ki67 both in primary (Spearman R 0.8) and in metastatic (R 0.68) samples. Additionally, RBsig was higher in Basal and Luminal B intrinsic subtypes in metastatic samples. RBsig was significantly higher in pts with high baseline sTKa (median cut-off) (Wilcoxon test, p=0.04 and p=0.03 in primary and metastatic samples respectively), with a similar direction, albeit not statistically significant, observed in the group of pts with no sTKa clearance at D15 (below limit of detection cut-off). When evaluated in the combined cohort, where RBSig values were taken from metastatic samples when available and from primary samples otherwise, higher RBsig values were associated with poorer PFS as compared to lower RBsig values [mPFS 5.5 months (95% CI 3.7, 14) vs 13 months (95% CI 8.6, 28); Log-rank p-value=0.004]. Conclusions: Higher RBsig was associated with higher tumor proliferation (measured by both tissue ki67 and sTKa), luminal B status, and shorter PFS on treatment with P+F. This analysis reinforces prior data on RBsig prognostic significance in pts treated with CDK4/6 inhibitors. Further investigation on the added value of RBsig as a novel biomarker for patients’ stratification, including in the early setting, is warranted. Citation Format: Matteo Benelli, Svitlana Tyekucheva, Thayane Crestani, Michail Ignatiadis, Patrick Neven, Marco Colleoni, Stéphanie Henry, Konstantinos Papadimitriou, Antonio Bernardo, Elena Seles, François Duhoux, Iain Macpherson, Alastair Thomson, David Mark Davies, Ilenia Migliaccio, Gabriele Zoppoli, Roswitha Kammler, Heidi De Swert, Barbara Ruepp, Philippe Aftimos, Jose Seoane, Dario Romagnoli, David Venet, Theodora Goulioti, David Cameron, Sherene Loi, Martine Piccart, Meredith Regan, Luca Malorni. RBsig gene-expression signature in patients with endocrine resistant metastatic breast cancer treated with palbociclib and fulvestrant in the PYTHIA trial [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 PO2-16-02.

Abstract PO1-25-05: Adipose-enriched peri-tumoral stroma prognosticates poorer survival in breast cancers

Abstract Background: Adjuvant breast cancer therapy is informed by whether a tumour is positive or negative for the biomarkers ER, PgR, and HER2, often without regard to level of positivity. Quantitation has been proposed to improve therapeutic management. Adjunctive statistical standardization has been proposed to improve inter-laboratory comparability of biomarkers results. Methods: This primary report utilized adjunctive statistical standardization of machine-quantitated image analysis biomarker assessments. CCTG MA.27 (NCT00066573) is an adjuvant phase III trial of exemestane versus anastrozole in postmenopausal women with ER+ and/or PgR+ tumours. IHC ER, PgR, and HER2 were centrally assessed, with FISH (HER2;HER2/CEP17) determinations for equivocal IHC HER2. HSCOREs were statistically standardized to a mean of 0, standard deviation of 1 following Box-Cox variance stabilization transformations of square for ER and natural logarithm for PgR (0.1 was added to 0 HSCOREs). The primary endpoint was STEEP distant disease-free survival (DDFS) at the longest trial follow-up of median 4.1 years. Survival was described with Kaplan-Meier plots. The univariate Wilcoxon (Peto-Prentice) test statistic was used with usual designation of negative/positive (0; >0), and standardized cut-points at standard deviations about mean of 0(<-1; (-1,0]; (0,1]; >1). Cox multivariate regressions adjusted for age, T and N stage, grade, lymphovascular invasion, treatment, and baseline patient demographics, utilized likelihood ratio tests. Nominal significance was p=0.05. Results: Of the 7576 women accrued, 3048 had machine-quantitated image analysis results: 2900 (95%) for ER; 2726 (89%) for PgR. Only 8 women were ASCO/CAP ER- (HSCORE 0); PgR HSCORE was 0 for 533. Statistically standardized units differentiated DDFS ER levels (p< 0.001) and PgR levels (p< 0.001). In adjusted multivariate analyses, higher ER HSCORE was associated with better DDFS (p=0.05) with weak evidence of an association (p=0.11) for standardized HSCORE, and no significant association (respectively, p=0.28, p=0.54) in models with PgR. Higher PgR was associated with better DDFS (p=0.001) in all multivariate assessments, including those with ER. Conclusions: DDFS was superior for patients with higher ER and PgR standardized units compared with those with HSCOREs <-1. Adjunctive statistical standardization, similar to that mandated for clinical practice by the World Health Organization for BMD, should improve inter-laboratory comparability of biomarker results for similar patient populations. Biomarker N DDFS DDFS 5-year (%) 95% CI ER total 2900 ER <-1 506 86 (82, 91) ER (-1, 0] 934 94 (92, 96) ER ( 0, 1] 919 94 (92, 96) ER 1 541 96 (93, 98) PgR total 2726 PgR <-1 734 89 (86, 92) PgR (-1, 0] 439 92 (89, 95) PgR ( 0, 1] 967 95 (93, 96) PgR 1.0 586 98 (97,100) Citation Format: Hannah Lau, Veronique Kiak Mien Tan, Benita Kiat Tee Tan, Yirong Sim, Jelmar Quist, Aye Aye Thike, Puay Hoon Tan, Shazib Pervaiz, Anita Grigoriadis, Kanaga Sabapathy. Adipose-enriched peri-tumoral stroma prognosticates poorer survival in breast cancers [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 PO1-25-05.

Abstract PO1-27-10: Adjunctive statistical standardization of quantitated machine image analysis of Estrogen and Progesterone Receptors: CCTG MA.27 trial

Abstract Background: Adjuvant breast cancer therapy is informed by whether a tumour is positive or negative for the biomarkers ER, PgR, and HER2, often without regard to level of positivity. Quantitation has been proposed to improve therapeutic management. Adjunctive statistical standardization has been proposed to improve inter-laboratory comparability of biomarkers results. Methods: This primary report utilized adjunctive statistical standardization of machine-quantitated image analysis biomarker assessments. CCTG MA.27 (NCT00066573) is an adjuvant phase III trial of exemestane versus anastrozole in postmenopausal women with ER+ and/or PgR+ tumours. IHC ER, PgR, and HER2 were centrally assessed, with FISH (HER2;HER2/CEP17) determinations for equivocal IHC HER2. HSCOREs were statistically standardized to a mean of 0, standard deviation of 1 following Box-Cox variance stabilization transformations of square for ER and natural logarithm for PgR (0.1 was added to 0 HSCOREs). The primary endpoint was STEEP distant disease-free survival (DDFS) at the longest trial follow-up of median 4.1 years. Survival was described with Kaplan-Meier plots. The univariate Wilcoxon (Peto-Prentice) test statistic was used with usual designation of negative/positive (0; >0), and standardized cut-points at standard deviations about mean of 0(<-1; (-1,0]; (0,1]; >1). Cox multivariate regressions adjusted for age, T and N stage, grade, lymphovascular invasion, treatment, and baseline patient demographics, utilized likelihood ratio tests. Nominal significance was p=0.05. Results: Of the 7576 women accrued, 3048 had machine-quantitated image analysis results: 2900 (95%) for ER; 2726 (89%) for PgR. Only 8 women were ASCO/CAP ER- (HSCORE 0); PgR HSCORE was 0 for 533. Statistically standardized units differentiated DDFS ER levels (p< 0.001) and PgR levels (p< 0.001). In adjusted multivariate analyses, higher ER HSCORE was associated with better DDFS (p=0.05) with weak evidence of an association (p=0.11) for standardized HSCORE, and no significant association (respectively, p=0.28, p=0.54) in models with PgR. Higher PgR was associated with better DDFS (p=0.001) in all multivariate assessments, including those with ER. Conclusions: DDFS was superior for patients with higher ER and PgR standardized units compared with those with HSCOREs <-1. Adjunctive statistical standardization, similar to that mandated for clinical practice by the World Health Organization for BMD, should improve inter-laboratory comparability of biomarker results for similar patient populations. Biomarker N DDFS DDFS 5-year (%) 95% CI ER total 2900 ER <-1 506 86 (82, 91) ER (-1, 0] 934 94 (92, 96) ER ( 0, 1] 919 94 (92, 96) ER >1 541 96 (93, 98) PgR total 2726 PgR <-1 734 89 (86, 92) PgR (-1, 0] 439 92 (89, 95) PgR ( 0, 1] 967 95 (93, 96) PgR >1.0 586 98 (97,100) Citation Format: Judy-Anne Chapman, Jane Bayani, Sandip SenGupta, John MS Bartlett, Tammy Piper, Mary Anne Quintayo, Shakeel Virk, Paul Goss, James Ingle, Matthew Ellis, George Sledge Jr, George Budd, Manuela Rabaglio, Rafat Ansari, Richard Tozer, David D'Souza, Haji Chalchal, Silvana Spadafora, Vered Stearns, Edith A. Perez, Karen Gelmon, Timothy Whelan, Catherine Elliott, Lois Shepherd, Bingshu Chen, Karen Taylor. Adjunctive statistical standardization of quantitated machine image analysis of Estrogen and Progesterone Receptors: CCTG MA.27 trial [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 PO1-27-10.

Role and Status of Biomarkers in Technostress Research: A Systematic Review.

The revolution in technology has impacted the work and personal lives of human beings greatly. While it has introduced the mankind to a more comfortable life, it has brought in the stress too in the form of technostress, the situation where a person fails to cope up with the ever-advancing technology and experiences stress symptoms. The increasing intensity of technostress calls for more research on technostress diving deeper into the causes and coping mechanisms. However, technostress research requires successful and reliable assessment of stress. It has been observed in recent years that biomarkers such as cortisol and salivary alpha amylase are reliable indicators of stress. There are several reports where the researchers have used questionnaires and surveys to assess the technostress, but the number of studies using biomarkers for technostress assessment is limited. It has been established that biomarker assessment is an important complement to the surveys to study the technostress. Here, we summarize the important studies done on technostress using the biomarkers along with the rationale of using these biomarkers.

Is it time for molecular assessment of breast biomarkers?

Is it time for molecular assessment of breast biomarkers?

Integrity of RNA in long-term-stored cervical liquid-based cytology samples: implications for biomarker research.

Biobanks of cervical screening (LBC) samples annotated with disease status are an invaluable resource to support the development of tools for the risk stratification of disease. Although there is growing interest in the assessment of RNA-based biomarkers, little is known on the suitability and durability of stored clinical samples (commonly used in cervical screening) to support RNA-based research. RNA was extracted from 260 stored LBC samples. Storage at -80°C or -25°C allowed isolation of sufficient RNA for further analysis. RNA was found to be substantially degraded according to Agilent Bioanalyser data. Despite this, RT-qPCR was successful in 95% samples tested. These data suggest that biobanked LBC samples are suitable for RNA-based assessment even if stored for up to 14years.

Exploring the in vitro stability of insulin degrading enzyme as a potential biomarker for neurocognitive disorders and Alzheimer's disease risk

Insulin degrading enzyme (IDE) plays a critical role in degrading insulin and beta-forming proteins, implicating its significance as a biomarker in metabolic dysfunction and neurocognitive disorders, including Alzheimer's disease (AD). Understanding the impact of pre-analytic conditions of in vitro IDE levels is imperative for reliable biomarker assessment. This study explored the influence of freeze-thaw cycles, storage temperature, and storage time on IDE levels in human serum.Serum samples from seven healthy volunteers were subjected to various storage conditions, including refrigeration (4 °C) and freezing (−20 °C and −80 °C) for 24 h and six months, with differing freeze-thaw cycles. In vitro IDE levels were measured at 24 h and after 6 months using ELISA.Results indicate that while short-term storage at either −20 °C or −80 °C yielded similar IDE levels, prolonged storage and multiple freeze-thaw cycles significantly impacted IDE stability, with colder temperatures exhibiting better preservation.Although further research with larger cohorts and longer storage time is warranted to establish clinical significance, our study suggests preferential use of unthawed samples or consistent freeze-thaw conditions for accurate IDE assessment. Thus, optimizing sample storage conditions is paramount for reliable IDE biomarker analysis in clinical and research settings.

Assessment of biomarkers indicating activation of the complement system in pregnant women with fetal growth restriction

Aims: To compare serum levels of sC5b-9, C3, C4, C1-INH, and CH50, which are indicators of complement system activation and regulatory processes, in pregnant women with and without fetal growth restriction (FGR). Methods: This study enrolled eighty-six women with gestational age between 24 and 36 weeks. Maternal blood samples were obtained from 43 patients diagnosed with FGR and 43 from healthy pregnancies. Serum complement levels were measured using commercially available ELISA kits according to the manufacturer’s instructions (SunRed, China). Results: When the levels of complement activation biomarkers of pregnancies with FGR were compared with those of healthy pregnancies, the C1est level was significantly higher, C4 and CH50 levels were slightly lower, and Sc5b9 and C3 levels were similar. Conclusion: While the exact role of complement activation in FGR remains fully elucidated, the elevated levels of C1-INH in women with FGR suggest a compensatory mechanism to mitigate thrombus formation and inflammation. This adaptive response may be a potential therapeutic target for improving placental function and pregnancy outcomes.

Study of inflammatory biomarkers in Chronic obstructive pulmonary disease (COPD) and their association with comorbidities

Background Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition associated with systemic inflammation and various comorbidities, significantly impacting patients’ health outcomes. This study investigates the relationships between inflammatory biomarkers in COPD and their associations with comorbidities. By focusing on specific biomarkers such as C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-ALFA), and fibrinogen, we seek to find the complex interplay between systemic inflammation, COPD severity, and the prevalence of comorbidities. This research is critical for advancing our understanding of the systemic manifestations of COPD and informing targeted interventions for improved patient management. Methods This cross-sectional observational study will be conducted at AVBRH, a tertiary care hospital in central India, over two years (August 2022 to August 2024). A sample size of 90 COPD patients will be randomly selected based on inclusion and exclusion criteria. Diagnostic tests will be performed, including pulmonary function tests, chest X-rays, and biomarker assessments. Statistical analyses, encompassing chi-square tests, Pearson’s correlation coefficient, and logistic regression, will explore associations between inflammatory biomarkers, COPD severity, and comorbidities. The study design ensures rigorous data collection and adherence to ethical standards, with SPSS 27.0 utilized for statistical analyses. Expected Outcome Anticipated outcomes include a comprehensive understanding of how inflammatory biomarkers correlate with the severity of COPD and their associations with comorbidities. We expect to identify specific biomarkers that may serve as indicators of increased risk for certain comorbid conditions. The findings will contribute valuable insights into the systemic nature of COPD and inform healthcare strategies tailored to mitigate comorbidity-related risks in COPD patients. This research has the potential to enhance clinical decision-making, guide personalized treatment plans, and ultimately improve the overall management of individuals living with COPD.

Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients.

Research into aging has grown substantially with the creation of molecular biomarkers of biological age that can be used to determine age acceleration. Concurrently, nuclear magnetic resonance (NMR) assessment of biomarkers of inflammation and metabolism provides researchers with new ways to examine intermediate risk factors for chronic disease. We used data from a cardiac catheterization cohort to examine associations between biomarkers of cardiometabolic health and accelerated aging assessed using both gene expression (Transcriptomic Age) and DNA methylation (Hannum Age, GrimAge, Horvath Age, and Phenotypic Age). Linear regression models were used to associate accelerated aging with each outcome (cardiometabolic health biomarkers) while adjusting for chronological age, sex, race, and neighborhood socioeconomic status. Our study shows a robust association between GlycA and GrimAge (5.71, 95% CI = 4.36, 7.05, P = 7.94 × 10-16), Hannum Age (1.81, 95% CI = 0.65, 2.98, P = 2.30 × 10-3), and Phenotypic Age (2.88, 95% CI = 1.91, 3.87, P = 1.21 × 10-8). We also saw inverse associations between apolipoprotein A-1 and aging biomarkers. These associations provide insight into the relationship between aging and cardiometabolic health that may be informative for vulnerable populations.

An Exploratory Assessment of Pre-Treatment Inflammatory Profiles in Gastric Cancer Patients.

Gastric cancer ranks as the fifth most common cancer, and the assessment of inflammatory biomarkers in these patients holds significant promise in predicting prognosis. Therefore, data from patients undergoing surgical intervention for gastric cancer over a 7-year period were analyzed. This study was retrospective and involved a preoperative investigation of six inflammatory parameters derived from complete blood counts. Statistical analysis revealed a significant increase in the leucocyte-to-monocyte ratio (LMR) (p = 0.048), along with a significant decrease in the number of lymphocytes and monocytes compared to patients with successful discharge. Taking into consideration patients undergoing emergency surgery, a significant increase in the LMR (p = 0.009), neutrophil-to-lymphocyte ratio (NLR) (p = 0.004), Aggregate Index of Systemic Inflammation (AISI) (p = 0.01), and Systemic Immune-Inflammation Index (SII) (p = 0.028) was observed. Regarding relapse, these patients exhibited significant increases in AISI (p = 0.032) and SII (p = 0.047). Inflammatory biomarkers represent a valuable tool in evaluating and predicting the prognosis of patients with gastric cancer.

Potential Risks and Benefits of Desiccated Thyroid Extract for the Treatment of Hypothyroidism: A Systematic Review.

Background: Desiccated thyroid extract (DTE) is no longer recommended for the treatment of hypothyroidism but is still in use. This review aimed to summarize the available literature on treatment with DTE in adult patients with hypothyroidism. Methods: The search was conducted up until January 6, 2024, in six electronic databases. Two reviewers independently screened all the search results. The retrieved studies compared DTE treatment with levothyroxine or combination therapy with liothyronine and levothyroxine. The primary outcome was quality of life (QoL), and the secondary outcomes included symptoms, treatment preference, adverse effects, thyroid hormone levels, thyroid autoantibodies, cardiovascular measures, and gene polymorphisms in deiodinase enzymes. Results: In the qualitative synthesis, we included nine nonrandomized studies of interventions (NRSIs), two randomized clinical trials (RCTs), and three case reports. The overall quality of evidence was moderate to very low for the various outcomes. The RCTs found no difference between treatments regarding QoL and symptom score assessments. In the NRSIs, symptom and QoL assessments were in favor of DTE. The included studies indicated that DTE may cause an increase in heart rate, lower body weight, and lower high-density lipoprotein compared with other treatment regimens, but results were conflicting. Conclusions: Most studies of DTE treatment are hampered by an inferior design, and data on long-term effects and side effects are lacking. Two RCTs could not demonstrate any difference in QoL or symptom scores when comparing DTE with other thyroid hormone substitutions. Future trials of DTE in patients with hypothyroidism should be based on adequate study designs, validated measures of QoL, patients with reduced QoL, and the assessment of biomarkers reflecting long-term adverse effects.

Assessment of genotoxicity biomarkers in gasoline station attendants due to occupational exposure.

Gasoline station attendants are exposed to numerous chemicals that might have genotoxic and carcinogenic potential, such as benzene in fuel vapor and particulate matter and polycyclic aromatic hydrocarbons in vehicle exhaust emission. According to IARC, benzene and diesel particulates are Group 1 human carcinogens, and gasoline has been classified as Group 2A "possibly carcinogenic to humans." At gas stations, self-service is not implemented in Turkey; fuel-filling service is provided entirely by employees, and therefore they are exposed to those chemicals in the workplace during all working hours. Genetic monitoring of workers with occupational exposure to possible genotoxic agents allows early detection of cancer. We aimed to investigate the genotoxic damage due to exposures in gasoline station attendants in Turkey. Genotoxicity was evaluated by the Comet, chromosomal aberration, and cytokinesis-block micronucleus assays in peripheral blood lymphocytes. Gasoline station attendants (n = 53) had higher tail length, tail intensity, and tail moment values than controls (n = 61). In gasoline station attendants (n = 46), the frequencies of chromatid gaps, chromosome gaps, and total aberrations were higher compared with controls (n = 59). Increased frequencies of micronuclei and nucleoplasmic bridges were determined in gasoline station attendants (n = 47) compared with controls (n = 40). Factors such as age, duration of working, and smoking did not have any significant impact on genotoxic endpoints. Only exposure increased genotoxic damage in gasoline station attendants independently from demographic and clinical characteristics. Occupational exposure-related genotoxicity risk may increase in gasoline station attendants who are chronically exposed to gasoline and various chemicals in vehicle exhaust emissions.