Biomarkers Of Early Response Research Articles

Integrating neuroimaging biomarkers into the multicentre, high-dose erythropoietin for asphyxia and encephalopathy (HEAL) trial: rationale, protocol and harmonisation

IntroductionMRI and MR spectroscopy (MRS) provide early biomarkers of brain injury and treatment response in neonates with hypoxic-ischaemic encephalopathy). Still, there are challenges to incorporating neuroimaging biomarkers into multisite randomised...

Changes in Serum MicroRNAs after Anti-IL-5 Biological Treatment of Severe Asthma.

There is currently enough evidence to think that miRNAs play a role in several key points in asthma, including diagnosis, severity of the disease, and response to treatment. Cells release different types of lipid double-membrane vesicles into the extracellular microenvironment, including exosomes, which function as very important elements in intercellular communication. They are capable of distributing genetic material, mRNA, mitochondrial DNA, and microRNAs (miRNAs). Serum miRNA screening was performed in order to analyze possible changes in serum miRNAs in 10 patients treated with reslizumab and 6 patients with mepolizumab after 8 weeks of treatment. The expression of miR-338-3p was altered after treatment (p < 0.05), although no significant differences between reslizumab and mepolizumab were found. Bioinformatic analysis showed that miR-338-3p regulates important pathways in asthma, such as the MAPK and TGF-β signaling pathways and the biosynthesis/degradation of glucans (p < 0.05). However, it did not correlate with an improvement in lung function. MiRNA-338-3p could be used as a biomarker of early response to reslizumab and mepolizumab in severe eosinophilic asthmatic patients. In fact, this miRNA could be involved in airway remodeling, targeting genes related to MAPK and TGF-β signaling pathways.

MR-Guided Radiotherapy for Brain and Spine Tumors.

MRI is the standard modality to assess anatomy and response to treatment in brain and spine tumors given its superb anatomic soft tissue contrast (e.g., T1 and T2) and numerous additional intrinsic contrast mechanisms that can be used to investigate physiology (e.g., diffusion, perfusion, spectroscopy). As such, hybrid MRI and radiotherapy (RT) devices hold unique promise for Magnetic Resonance guided Radiation Therapy (MRgRT). In the brain, MRgRT provides daily visualizations of evolving tumors that are not seen with cone beam CT guidance and cannot be fully characterized with occasional standalone MRI scans. Significant evolving anatomic changes during radiotherapy can be observed in patients with glioblastoma during the 6-week fractionated MRIgRT course. In this review, a case of rapidly changing symptomatic tumor is demonstrated for possible therapy adaptation. For stereotactic body RT of the spine, MRgRT acquires clear isotropic images of tumor in relation to spinal cord, cerebral spinal fluid, and nearby moving organs at risk such as bowel. This visualization allows for setup reassurance and the possibility of adaptive radiotherapy based on anatomy in difficult cases. A review of the literature for MR relaxometry, diffusion, perfusion, and spectroscopy during RT is also presented. These techniques are known to correlate with physiologic changes in the tumor such as cellularity, necrosis, and metabolism, and serve as early biomarkers of chemotherapy and RT response correlating with patient survival. While physiologic tumor investigations during RT have been limited by the feasibility and cost of obtaining frequent standalone MRIs, MRIgRT systems have enabled daily and widespread physiologic measurements. We demonstrate an example case of a poorly responding tumor on the 0.35 T MRIgRT system with relaxometry and diffusion measured several times per week. Future studies must elucidate which changes in MR-based physiologic metrics and at which timepoints best predict patient outcomes. This will lead to early treatment intensification for tumors identified to have the worst physiologic responses during RT in efforts to improve glioblastoma survival.

Early plasma circulating tumor DNA (ctDNA) changes predict response to first-line pembrolizumab-based therapy in non-small cell lung cancer (NSCLC)

BackgroundCurrently available biomarkers are imperfect in their ability to predict responses to the multiple first-line treatment options available for patients with advanced non-small cell lung cancer (NSCLC). Having an early...

92418 Molecular imaging of the tumor microenvironment to predict response to combination treatment with immunotherapy in triple negative breast cancer

ABSTRACT IMPACT: Insights from this project will provide clinical guidance in treatment of immunotherapy in triple negative breast cancer and identify early imaging biomarkers of treatment response. OBJECTIVES/GOALS: Significant research that addresses monitoring and predicting patient response of triple negative breast cancer (TNBC) to immunotherapy is needed. Using positron emission tomography (PET) imaging to probe the tumor microenvironment (hypoxia, T-cell activation), we aim to predict early response to immunotherapy for in mouse models of TNBC tumors. METHODS/STUDY POPULATION: Female Balb/c mice with 4T1-luciferase mammary carcinoma cell tumors were administered paclitaxel (PTX; 10 mg/kg), anti-PD1 (200 µg), both, or vehicle (saline) intraperitoneally. Treatment was given on days 0, 2, and 5 for cohort 1 (n=16) who underwent granzyme B specific (GZP) PET imaging (T-cell activation) and days 0, 2, 5, and 8 for cohort 2 (n=12) who underwent [18F]-fluoromisonidazole (FMISO)-PET imaging (hypoxia). Bioluminescence (BLI) imaging and caliper measurements were performed to track tumor size changes at multiple timepoints and tumors were collected for histological validation on day 20. Mean standard uptake value (SUVmean) was calculated as percent of day 0, and statistical analyses were performed with unpaired t-tests and Wilcoxon-rank sum tests. RESULTS/ANTICIPATED RESULTS: Non-responders to treatment had a significantly higher tumor volume compared to responders starting on day 6 (p&lt;0.05). Although no significant differences in BLI between control and single-agent therapies were found, BLI data revealed that treatment with combination PTX and anti-PD1 significantly decreased viability signal between days 3 and 6 (p=0.04). SUVmean from GZP-PET was over 250% higher in responders compared to non-responders by day 6 (p=0.03). SUVmean from FMISO-PET was 80% less in responders compared to nonresponders, indicating less tumor hypoxia (p=0.04). DISCUSSION/SIGNIFICANCE OF FINDINGS: Non-invasive PET imaging of the tumor microenvironment can provide data on T cell activation and hypoxic response predicting response to combination immunotherapy and chemotherapy. Utilizing advanced imaging to understand biologically distinct features of the TNBC tumor microenvironment can aid in personalizing anti-cancer therapies.

P.223 Time course of antidepressant actions of lurasidone treatment towards the identification of early biomarkers of response

P.223 Time course of antidepressant actions of lurasidone treatment towards the identification of early biomarkers of response

Combining molecular and functional imaging in metastatic castration-resistant prostate cancer (mCRPC).

141 Background: Recently, plasma tumour DNA (ptDNA) has been identified as a potential early noninvasive biomarker of treatment response in mCRPC patients ( Conteduca, Br J Cancer 2020). In this study, we sought to determine whether pre-treatment ptDNA could accurately reflect metabolic tumor burden in mCRPC and if it could be in combination with functional imaging could provide better prognostication. Methods: Between October 2011 and June 2016, 102 plasma samples from mCRPC patients treated with abiraterone or enzalutamide were collected. Targeted next-generation sequencing was performed to determine baseline ptDNA fraction. Maximum standardized uptake value (SUVmax), total lesion activity (TLA), and metabolic tumour volume (MTV) were calculated on 18F-fluorocholine positron emission tomography/computed tomography. A Weibull multiple regression model was adopted to evaluate the combined impact of clinical, molecular and imaging features on overall survival (OS) and to obtain a prognostic score. Each variable was allotted a “partial score” that depended on the size of the regression coefficient. Total scores ranged between 0 and 5.85 and assigned patients to 3 different risk groups according to 18-months survival probability: group I, &gt;70%; group II 30%-70%; and group III, &lt;30%. We estimated OS probabilities by the exponential model and by the Kaplan-Meier method. Results: We observed a significant association between ptDNA levels dichotomized as below or above median plasma tumor fraction (low ptDNA≤0.188 versus high ptDNA&gt;0.188) and median SUVmax (p&lt;0.0001), MTV (p=0.0005) and TLA (p&lt;0.0001). Patients were randomly divided into a training set (n=68) and a validation set (n=34). In the training cohort, we performed a multivariable analysis showing that visceral metastasis, serum LDH, MTV and ptDNA were independent predictors of OS [HR=2.64, 95%CI 1.32-5.26, p=0.006; HR=3.69, 95%CI 1.98-6.87, p&lt;0.0001; HR=1.91, 95%CI 1.13-3.21, p=0.015; and HR=2.64, 95%CI 1.32-5.26, p=0.003, respectively]. In the training set, median OS was significantly different among the 3 risk groups (risk group I, 29.2 months [95% CI, 18.3 to 37.0 months]; risk group II, 15.9 months [95% CI, 10.6 to 24.0 months]; and risk group III, 8.7 months [95% CI, 6.3 to 15.4 months]; p&lt;0.0001). Similar results were observed in the validation set groups (risk group I, 23.4 months [95% CI, 8.1 to 38.5 months]; risk group II, 13.3 months [95% CI, 3.7 to 18.0 months]; and risk group III, 7.3 months [95% CI, 2.6 to 11.8 months]; p=0.001). Conclusions: Integrating plasma DNA analysis with functional imaging may improve prognostic risk stratification and treatment selection in mCRPC patients. A larger prospective evaluation is now warranted.

Early and Significant Reduction in C-Reactive Protein Levels After Corticosteroid Therapy Is Associated With Reduced Mortality in Patients With COVID-19.

Corticosteroids may be beneficial in a subset of patients with coronavirus disease 2019 (COVID-19), but predictors of therapeutic response remain unknown. C-reactive protein (CRP) is a routinely measured biomarker, and reduction in its levels after initiation of therapy may predict inpatient mortality. In this retrospective cohort study, the charts of patients who were admitted to Montefiore Medical Center between March 10, 2020, and May 2, 2020 for the management of COVID-19 were examined. Of all patients who met inclusion criteria, patients who received corticosteroid treatment were categorized as CRP responders (≥50% CRP level reduction) and CRP nonresponders (<50% CRP level reduction) based on change in CRP within 72 hours of corticosteroid treatment initiation. The outcomes of interest were two-fold: (1) CRP response after treatment with corticosteroid, and (2) differences in mortality among patients with CRP response compared those without. Of 2,707 patients admitted during the study period, 324 received corticosteroid treatment. Of patients who received corticosteroid treatment, CRP responders had reduced risk of death compared with risk among CRP nonresponders (25.2% vs 47.8%; unadjusted odds ratio [OR], 0.37; 95% CI, 0.21-0.65; P <.001). This effect remained strong and significant after adjustment for potential confounders (adjusted OR, 0.27; 95% CI, 0.14-0.54; P <.001). Reduction in CRP by 50% or more within 72 hours of initiating corticosteroid therapy potentially predicts inpatient mortality. This may serve as an early biomarker of response to corticosteroid therapy in patients with COVID-19.

Abstract PS5-35: Detection of PI3K pathway activation in circulating tumor cells in PIK3CA mutated metastatic breast cancer as a putative predictive biomarker for PI3K inhibitor therapies

Abstract Background: Somatic genomic alterations that activate the phosphatidylinositol-3-kinase (PI3K) pathway signaling are found in 30-50% of breast cancers, and the p110a-specific inhibitor alpelisib is approved for use in combination with fulvestrant in PIK3CA mutated hormone receptor-positive (HR+) metastatic breast cancer. However, preclinical and clinical data has demonstrated significant variability in response to alpelisib and other PI3K inhibitors even in the presence of hotspot PIK3CA activating mutations, likely reflecting functional differences between somatic alterations, bypass signaling mechanisms, and intratumor clonal heterogeneity. Thus, there is an ongoing need for novel predictive biomarkers to help guide patient selection for these therapies. Circulating tumor cells (CTCs) represent an accessible source of tumor derived analytes that allow for the interrogation of protein level readouts of PI3K pathway activation, may better reflect the biologic heterogeneity of metastatic disease than single site solid tumor biopsy, and are amenable to longitudinal analysis. Here, we report the development of an assay to evaluate the expression of activated AKT (AKT pS473) in CTCs as a putative biomarker of sensitivity to PI3K inhibitor therapies in metastatic breast cancer. Methods: Peripheral blood for CTC isolation was collected serially from patients with metastatic breast cancer and known somatic PI3K pathway mutation status. Samples were processed using VERSA (Versatile Exclusion-based Rare Sample Analysis), a microfluidic technology that integrates CTC capture and downstream analysis. Following fixation, CTCs were captured immunomagnetically with antibodies for EpCAM and Trop2, permeabilized and stained on chip for pan-AKT plus AKT pS473. Quantitative fluorescent microscopy was used to enumerate CTCs, defined as cytokeratin positive cells with intact nuclei and negative for a group of normal blood cell markers (CD45/CD11b/CD34/CD66b), and to quantify activated AKT protein expression in CTCs and matched peripheral blood mononuclear cells (PBMCs). Results: 100% of patients with somatic PIK3CA mutations in our pilot cohort had CTCs with detectable phospho-AKT expression, and in 50% of patients, the median phospho-AKT/pan AKT ratio was higher in CTCs compared to matched peripheral blood cells, suggestive of increased PI3K pathway activity. All patients demonstrated heterogeneity in phospho-AKT expression and phospho-AKT/pan-AKT ratio among individual CTCs at a single timepoint and across timepoints in longitudinal analysis. Conclusion: We report here the feasibility of quantitative and longitudinal detection of activated AKT in EpCAM/Trop2 captured CTCs from metastatic breast cancer with somatic PIK3CA mutations. Future work will prospectively evaluate multiple clinical applications of this assay in patients receiving alpelisib plus endocrine therapy for PIK3CA mutated HR+ metastatic breast cancer, as well as expanding the assay to include the detection of additional phospho-protein readouts of PI3K pathway activity in CTCs. In addition to the potential to complement solid biopsy PIK3CA mutation status as a predictive biomarker of sensitivity to PI3K therapies, this assay has the unique potential to provide a pharmacodynamic assessment of PI3K inhibitor activity in CTCs while on treatment, which may serve as an early biomarker of clinical response or resistance. Citation Format: Marina N Sharifi, Jamie M Sperger, Cole Gilsdorf, Serena K Wolfe, Amanda Parkes, Kari B Wisinski, Ruth M O'Regan, Joshua M Lang. Detection of PI3K pathway activation in circulating tumor cells in PIK3CA mutated metastatic breast cancer as a putative predictive biomarker for PI3K inhibitor therapies [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS5-35.

Abstract PS3-08: Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST) MRI: A pilot study

Abstract PS3-08: Assessment of early response to neoadjuvant systemic therapy (NAST) of triple-negative breast cancer (TNBC) using chemical exchange saturation transfer (CEST) MRI: A pilot study

Optical scattering as an early marker of apoptosis during chemotherapy and antiangiogenic therapy in murine models of prostate and breast cancer

Monitoring of the in vivo tumor state to track therapeutic response in real time may help to evaluate new drug candidates, maximize treatment efficacy, and reduce the burden of overtreatment. Current preclinical tumor imaging methods have largely focused on anatomic imaging (e.g., MRI, ultrasound), functional imaging (e.g., FDG-PET), and molecular imaging with exogenous contrast agents (e.g., fluorescence optical tomography). Here we utalize spatial frequency domain imaging (SFDI), a noninvasive, label-free optical technique, for the wide-field quantification of changes in tissue optical scattering in preclinical tumor models during treatment with chemotherapy and antiangiogenic agents. Optical scattering is particularly sensitive to tissue micro-architectural changes, including those that occur during apoptosis, an early indicator of response to cytotoxicity induced by chemotherapy, thermotherapy, cryotherapy, or radiation therapy. We utilized SFDI to monitor responses of PC3/2G7 prostate tumors and E0771 mammary tumors to treatment with cyclophosphamide or the antiangiogenic agent DC101 for up to 49 days. The SFDI-derived scattering amplitude was highly correlated with cleaved caspase-3, a marker of apoptosis (ρp = 0.75), while the exponent of the scattering wavelength-dependence correlated with the cell proliferation marker PCNA (ρp = 0.69). These optical parameters outperformed tumor volume and several functional parameters (e.g., oxygen saturation and hemoglobin concentration) as an early predictive biomarker of treatment response. Quantitative diffuse optical scattering is thus a promising new early marker of treatment response, which does not require radiation or exogenous contrast agents.

Targeting for Success: Demonstrating Proof-of-Concept with Mechanistic Early Phase Clinical Pharmacology Studies for Disease-Modification in Neurodegenerative Disorders.

The clinical failure rate for disease-modifying treatments (DMTs) that slow or stop disease progression has been nearly 100% for the major neurodegenerative disorders (NDDs), with many compounds failing in expensive and time-consuming phase 2 and 3 trials for lack of efficacy. Here, we critically review the use of pharmacological and mechanistic biomarkers in early phase clinical trials of DMTs in NDDs, and propose a roadmap for providing early proof-of-concept to increase R&D productivity in this field of high unmet medical need. A literature search was performed on published early phase clinical trials aimed at the evaluation of NDD DMT compounds using MESH terms in PubMed. Publications were selected that reported an early phase clinical trial with NDD DMT compounds between 2010 and November 2020. Attention was given to the reported use of pharmacodynamic (mechanistic and physiological response) biomarkers. A total of 121 early phase clinical trials were identified, of which 89 trials (74%) incorporated one or multiple pharmacodynamic biomarkers. However, only 65 trials (54%) used mechanistic (target occupancy or activation) biomarkers to demonstrate target engagement in humans. The most important categories of early phase mechanistic and response biomarkers are discussed and a roadmap for incorporation of a robust biomarker strategy for early phase NDD DMT clinical trials is proposed. As our understanding of NDDs is improving, there is a rise in potentially disease-modifying treatments being brought to the clinic. Further increasing the rational use of mechanistic biomarkers in early phase trials for these (targeted) therapies can increase R&D productivity with a quick win/fast fail approach in an area that has seen a nearly 100% failure rate to date.

BLOOD-BASED PROGNOSTIC BIOMARKERS IN CROHN’S PATIENTS TREATED WITH BIOLOGICS: A NEW PROMISING TOOL TO PREDICT ENDOSCOPIC OUTCOMES

There is a growing need for biomarkers of inflammation to monitor and predict therapeutic outcome in Crohn’s disease (CD) patients. We aimed to evaluate whether the level of circulating blood cells, expressed as ratios (NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; ELR, eosinophil-to-lymphocyte ratio and ENLR, eosinophil*neutrophil-to-lymphocyte ratio), could be used as early prognostic biomarker of endoscopic response (ER) in patients starting biological therapy with infliximab, adalimumab, vedolizumab and ustekinumab.

Serotonin 2A receptor polymorphism rs3803189 mediated by dynamics of default mode network: a potential biomarker for antidepressant early response

Background: Serotonin 2A receptors (HTR2A) play a crucial role in the therapeutic response to antidepressant. The activity of serotonergic system could modulate the connectivity of the default mode network (DMN) in human brain. Our research investigated the influence of the single nucleotide polymorphism (SNP) of HTR2A on the early treatment response of antidepressant and their relation to dynamic changes of DMN for the first time.Methods: A total of 134 major depressive disorder patients and 95 healthy controls from two independent datasets were enrolled. All subjects have genotyped candidate HTR2A polymorphisms, dynamic brain parameters flexibility and integration were calculated according to the resting-state functional magnetic resonance imaging (rs-fMRI) at baseline. Patients received selective serotonin reuptake inhibitors (SSRIs) treatment with conventional dose in the next two weeks.Results: We found the correlation of the risk-associated variant belonged to HTR2A polymorphism rs3803189 with the achievements of antidepressant early response, and also with the stronger dynamic changes of DMN. Further mediation analysis indicated that the bond between rs3803189 and antidepressant early response was mediated by the integration between the right angular gyrus (AG.R) and the subcortical network (SCN), which were validated over both the main and replication datasets.Limitations: Except the AG.R-SCN circuit, other factors which influence the relationship between rs3803189 and antidepressant therapy deserve to be explored further. Besides, heterogeneity of samples limited the power of the current result.Conclusions: Our findings provided a potential biomarker for individual treatment sensitivity and produced positive effects on revealing the complicated gene-brain-disorder relationship.

BLOOD-BASED PROGNOSTIC BIOMARKERS IN CROHN’S PATIENTS TREATED WITH BIOLOGICS: A NEW PROMISING TOOL TO PREDICT ENDOSCOPIC OUTCOMES

Abstract Background and aims There is a growing need for biomarkers of inflammation to monitor and predict therapeutic outcome in Crohn’s disease (CD) patients. We aimed to evaluate whether the level of circulating blood cells, expressed as ratios (NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; ELR, eosinophil-to-lymphocyte ratio and ENLR, eosinophil*neutrophil-to-lymphocyte ratio), could be used as early prognostic biomarker of endoscopic response (ER) in patients starting biological therapy with infliximab, adalimumab, vedolizumab and ustekinumab. Association with steroid-free clinical remission at week 54 and endoscopic disease activity at baseline, as well as other variables related with ER were also evaluated as secondary outcomes. Methods Consecutive patients with CD who started biological therapy between June 2016 and July 2019 in two Italian tertiary centers were enrolled. We used multivariate analysis to evaluate whether NLR, PLR, ELR and ENLR at baseline and after 12 weeks of treatment could predict ER (SES-CD ≤ 2 or SES-CD ≤ 2 and Rutgeerts score i0-i1) after 54 weeks of treatment. Receiver operating characteristic (ROC) curves were generated to identify the area under the curve (AUC) and find the best cut-off values of NLR, PLR, ELR and ENLR for the prediction of ER. To enhance the diagnostic performance, these ratios were combined with baseline Harvey Bradshaw Index (HBI) in a prognostic model. Results 107 patients were included. Patients who achieved ER had significantly lower baseline NLR (p = 0.025), ELR (p = 0.013) and ENLR (p = 0.021) compared with those without ER; similar results were confirmed after 12 weeks of treatment for ELR (p = 0.006) and ENLR (p = 0.026). AUC was 0.64 (p = 0.003), 0.67 (p = 0.006) and 0.65 (p=0.014) for NLR, ELR and ENLR, respectively. The best cut-offs values were included in the HBI-based prognostic model: 81.8% of patients with HBI ≥ 5 and higher ratios did not achieve ER, while all patients with HBI &amp;lt; 5 and lower ratios reached ER. Interestingly, ENLR was found to be linearly associated with SES-CD at baseline (p= 0.035). Conclusions To the best of our knowledge, this is the first study assessing NLR, ELR and ENLR as predictive markers of therapeutic response in CD patients. Low levels of these ratios can predict endoscopic response and could be used in clinical practice for a better management of CD patients needing biological therapy. Further prospective studies are needed to confirm these results in larger cohorts.

Whole Transcription Profile of Responders to Anti-TNF Drugs in Pediatric Inflammatory Bowel Disease.

Background: Up to 30% of patients with pediatric inflammatory bowel disease (IBD) do not respond to anti-Tumor Necrosis Factor (anti-TNF) therapy. The aim of this study was to identify pharmacogenomic markers that predict early response to anti-TNF drugs in pediatric patients with IBD. Methods: An observational, longitudinal, prospective cohort study was conducted. The study population comprised 38 patients with IBD aged < 18 years who started treatment with infliximab or adalimumab (29 responders and nine non-responders). Whole gene expression profiles from total RNA isolated from whole blood samples of six responders and six non-responders taken before administration of the biologic and after two weeks of therapy were analyzed using next-generation RNA sequencing. The expression of six selected genes was measured for purposes of validation in all of the 38 patients recruited using qPCR. Results: Genes were differentially expressed in non-responders and responders (32 before initiation of treatment and 44 after two weeks, Log2FC (Fold change) >0.6 or <−0.6 and p value < 0.05). After validation, FCGR1A, FCGR1B, and GBP1 were overexpressed in non-responders two weeks after initiation of anti-TNF treatment (Log2FC 1.05, 1.21, and 1.08, respectively, p value < 0.05). Conclusion: Expression of the FCGR1A, FCGR1B, and GBP1 genes is a pharmacogenomic biomarker of early response to anti-TNF agents in pediatric IBD.

Early Changes in [18F]FDG Uptake as a Readout for PI3K/Akt/mTOR Targeted Drugs in HER-2-Positive Cancer Xenografts.

We investigated the potential use of [18F]FDG PET as a response biomarker for PI3K pathway targeting therapies in two HER-2-overexpressing cancer models. Methods. CD-1 nude mice were inoculated with HER-2-overexpressing JIMT1 (trastuzumab-resistant) or SKOV3 (trastuzumab-sensitive) human cancer cells. Animals were treated with trastuzumab, everolimus (mTOR inhibitor), PIK90 (PI3K inhibitor), saline, or combination therapy. [18F]FDG scans were performed at baseline, two, and seven days after the start of the therapy. Tumors were delineated on CT images and relative tumor volumes (RTV) and maximum standardized uptake value (SUVmax) were calculated. Levels of pS6 and pAkt on protein tumor lysates were determined with ELISA. Results. In the SKOV3 xenografts, all treatment schedules resulted in a gradual decrease in RTV and delta SUVmax (ΔSUVmax). For all treatments combined, ΔSUVmax after 2 days was predictive for RTV after 7 days (r = 0.69, p = 0.030). In JIMT1 tumors, monotherapy with everolimus or PIK90 resulted in a decrease in RTV (−30% ± 10% and −20% ± 20%, respectively) and ΔSUVmax (−39% ± 36% and −42% ± 8%, respectively) after 7 days of treatment, but not earlier, while trastuzumab resulted in nonsignificant increases compared to control. Combination therapies resulted in RTV and ΔSUVmax decrease already at day 2, except for trastuzumab+everolimus, where an early flare was observed. For all treatments combined, ΔSUVmax after 2 days was predictive for RTV after 7 days (r = 0.48, p = 0.028), but the correlation could be improved when combination with everolimus (r = 0.59, p = 0.023) or trastuzumab (r = 0.69, p = 0.015) was excluded. Conclusion. Reduction in [18F]FDG after 2 days correlated with tumor volume changes after 7 days of treatment and confirms the use of [18F]FDG PET as an early response biomarker. Treatment response can however be underestimated in schedules containing trastuzumab or everolimus due to temporary increased [18F]FDG uptake secondary to negative feedback loop and crosstalk between different pathways.

Heterogeneity analysis of MRI T2 maps for measurement of early tumor response to radiotherapy.

External beam radiotherapy (XRT) is a widely used cancer treatment, yet responses vary dramatically among patients. These differences are not accounted for in clinical practice, partly due to a lack of sensitive early response biomarkers. We hypothesize that quantitative magnetic resonance imaging (MRI) measures reflecting tumor heterogeneity can provide a sensitive and robust biomarker of early XRT response. MRI T2 mapping was performed every 72 hours following 10 Gy dose XRT in two models of pancreatic cancer propagated in the hind limb of mice. Interquartile range (IQR) of tumor T2 was presented as a potential biomarker of radiotherapy response compared with tumor growth kinetics, and biological validation was performed through quantitative histology analysis. Quantification of tumor T2 IQR showed sensitivity for detection of XRT-induced tumor changes 72 hours after treatment, outperforming T2-weighted and diffusion-weighted MRI, with very good robustness. Histological comparison revealed that T2 IQR provides a measure of spatial heterogeneity in tumor cell density, related to radiation-induced necrosis. Early IQR changes were found to correlate to subsequent tumor volume changes, indicating promise for treatment response prediction. Our preclinical findings indicate that spatial heterogeneity analysis of T2 MRI can provide a translatable method for early radiotherapy response assessment. We propose that the method may in future be applied for personalization of radiotherapy through adaptive treatment paradigms.

Spectroscopic investigation of radiation-induced reoxygenation in radiation-resistant tumors

Fractionated radiation therapy is believed to reoxygenate and subsequently radiosensitize surviving hypoxic cancer cells. Measuring tumor reoxygenation between radiation fractions could conceivably provide an early biomarker of treatment response. However, the relationship between tumor reoxygenation and local control is not well understood. We used noninvasive optical fiber-based diffuse reflectance spectroscopy to monitor radiation-induced changes in hemoglobin oxygen saturation (sO2) in tumor xenografts grown from two head and neck squamous cell carcinoma cell lines – UM-SCC-22B and UM-SCC-47. Tumors were treated with 4 doses of 2 Gy over 2 consecutive weeks and diffuse reflectance spectra were acquired every day during the 2-week period. There was a statistically significant increase in sO2 in the treatment-responsive UM-SCC-22B tumors immediately following radiation. This reoxygenation trend was due to an increase in oxygenated hemoglobin (HbO2) and disappeared over the next 48 h as sO2 returned to preradiation baseline values. Conversely, sO2 in the relatively radiation-resistant UM-SCC-47 tumors increased after every dose of radiation and was driven by a significant decrease in deoxygenated hemoglobin (dHb). Immunohistochemical analysis revealed significantly elevated expression of hypoxia-inducible factor (HIF-1) in the UM-SCC-47 tumors prior to radiation and up to 48 h postradiation compared with the UM-SCC-22B tumors. Our observation of a decrease in dHb, a corresponding increase in sO2, as well as greater HIF-1α expression only in UM-SCC-47 tumors strongly suggests that the reoxygenation within these tumors is due to a decrease in oxygen consumption in the cancer cells, which could potentially play a role in promoting radiation resistance.

Association of Baseline and Postinfusion Biomarkers with Safety and Efficacy Endpoints in Patients Treated with Orvacabtagene Autoleucel (orva-cel; JCARH125) in the Phase 1/2 Evolve Study (NCT03430011)

Association of Baseline and Postinfusion Biomarkers with Safety and Efficacy Endpoints in Patients Treated with Orvacabtagene Autoleucel (orva-cel; JCARH125) in the Phase 1/2 Evolve Study (NCT03430011)