Monitoring Treatment Response Research Articles

A prospective observational role of magnetic resonance imaging and magnetic resonance spectroscopy in evaluation of choline levels in gall bladder carcinoma in tertiary care hospital in central India

Background Gall bladder carcinoma (GBC) is a challenging malignancy characterized by late-stage diagnosis and poor prognosis. Early detection and accurate staging are crucial for improving patient outcomes. Magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) offer non-invasive imaging modalities that may aid in the evaluation of GBC. Choline, a metabolite detected by MRS, has been implicated in tumor growth and may serve as a potential biomarker for GBC. This study aims to investigate the role of MRI and MRS in evaluating choline levels as biomarkers for GBC. Method A prospective observational study will be conducted involving patients with suspected or confirmed GBC referred to the Department of Radiology, AVBRH, Sawangi. Patients meeting inclusion criteria will undergo MRI scans and MRS examinations to assess tumor characteristics and choline levels. Data collected will include MRI images, MRS spectra, histopathological results, and clinical outcomes. Statistical analysis will be performed to examine correlations between MRI findings, choline levels, and histopathological characteristics. Expected Outcome It is anticipated that MRI and MRS will demonstrate utility in evaluating choline levels as imaging biomarkers for GBC. Correlations between choline levels, tumor characteristics, and clinical outcomes are expected to provide valuable insights into the role of choline in GBC pathogenesis and prognosis. If successful, MRI and MRS could serve as non-invasive tools for early detection, staging, and treatment response monitoring in GBC, ultimately leading to improved patient outcomes and management strategies.

Progress of circulating tumor DNA methylation for gastric cancer screening and management

Circulating tumor DNA (ctDNA) is cell-free DNA released by tumors or circulating tumor cells, containing abundant tumor-specific information that can serve as biomarkers for cancer early screening, monitoring, prognosis, and prediction of treatment response. This is particularly attractive in the field of gastric cancer, where high-quality screening, monitoring, and prediction methods are currently lacking. Gastric cancer exhibits significant tumor heterogeneity, with large differences in genetic and epigenetic characteristics among different subgroups. Methylated ctDNA has high sensitivity and specificity, which can help clarify tumor genotyping and facilitate the formulation of precise diagnostic and therapeutic strategies. Furthermore, numerous studies have confirmed the unique advantages of methylated DNA in predicting treatment response, adjuvant therapy, and drug resistance assessment, which may be used in the future to enhance the efficacy of chemotherapy regimens and improve patient chemotherapeutic response, and even treat multidrug resistance. However, there are several challenges associated with methylated ctDNA, such as low sensitivity and specificity at single-target sites, limited association between some gastric cancer subtypes and ctDNA, off-target risks, and the lack of large-scale and high-quality clinical research evidence. This review mainly summarizes current research on the methylation status of ctDNA in gastric cancer and connects these findings to early screening, recurrence monitoring, and potential treatment opportunities for gastric cancer. With advances in technology and the deepening of interdisciplinary research, ctDNA detection will reveal more disease information and become an essential foundation for gastric cancer research and precision medicine treatment.

Comparison of Outcome of Concurrent Chemoradiotherapy and Sequential Chemoradiotherapy in Locally Advanced, Inoperable Squamous Cell Carcinoma of Head and Neck Region

Background: Head and neck cancer is prevalent in Bangladesh, with a majority of patients presenting with locally advanced, inoperable disease. This study aimed to compare the effectiveness and accessibility of concurrent and sequential (CCRT with RT) chemoradiotherapy in treating this condition, addressing a debate among oncologists. Materials and Methods: A quasi-experimental study at Rajshahi Medical College Hospital (June 2019 - May 2020) involved 60 inoperable head and neck cancer patients, comparing concurrent chemoradiotherapy with Cisplatin and sequential chemoradiotherapy with Paclitaxel and Cisplatin, monitoring treatment response and toxicities. Results: The mean age was 56.1 (±9.5) years in Arm-A and 56.9 (±9.4) years in Arm-B. The primary endpoint was loco-regional control and early toxicities. In the final response, 14 weeks after the completion of treatment, the overall loco-regional control rate was 86.67% and 76.67% in Arm-A and Arm-B, respectively. Severe toxicities include grade 3 reaction only and happened 18(58%) vs 13(42%) in Arm-A and Arm-B, respectively. Among severe toxicities, mucositis and skin reaction were higher in the concurrent Arm and anemia and neutropenia were higher in the sequential Arm. However, there was no actual difference in the two treatment modalities (p=>0.05). The overall treatment time was short in concurrent chemoradiotherapy (49 vs 133 days) and lower treatment cost as well, which was statistically significant (p=<0.0001). Conclusion: concurrent chemoradiotherapy proves cost-effective and accessible, demonstrating outcomes similar to sequential chemoradiotherapy. It stands as a viable treatment choice for locally advanced, inoperable head and neck squamous cell carcinoma.

Levels of circulating tumor DNA correlate with tumor volume in gastro-intestinal stromal tumors: an exploratory long-term follow-up study.

Patients with gastro-intestinal stromal tumors (GISTs) undergoing tyrosine kinase inhibitor therapy are monitored with regular computed tomography (CT) scans, exposing patients to cumulative radiation. This exploratory study aimed to evaluate circulating tumor DNA (ctDNA) testing to monitor treatment response and compare changes in ctDNA levels with RECIST 1.1 and total tumor volume measurements. Between 2014 and 2021, six patients with KIT proto-oncogene, receptor tyrosine kinase (KIT) exon-11-mutated GIST from whom long-term plasma samples were collected prospectively were included in the study. ctDNA levels of relevant plasma samples were determined using the KIT exon 11 digital droplet PCR drop-off assay. Tumor volume measurements were performed using a semi-automated approach. In total, 94 of 130 clinically relevant ctDNA samples were analyzed. Upon successful treatment response, ctDNA became undetectable in all patients. At progressive disease, ctDNA was detectable in five out of six patients. Higher levels of ctDNA correlated with larger tumor volumes. Undetectable ctDNA at the time of progressive disease on imaging was consistent with lower tumor volumes compared to those with detectable ctDNA. In summary, ctDNA levels seem to correlate with total tumor volume at the time of progressive disease. Our exploratory study shows promise for including ctDNA testing in treatment follow-up.

A blood-based 3-gene signature score for therapeutic monitoring in patients with pulmonary tuberculosis

ObjectiveTo assess the validity of Xpert Tuberculosis Fingerstick score for monitoring treatment response and analyze factors influencing its performance. Methods122 adults with pulmonary tuberculosis were recruited and stratified into three cohorts: Diabetic-drug-susceptible-TB (DM-TB), Non-diabetic-drug-susceptible-TB (NDM-TB) and Non-diabetic Multidrug-resistant TB (MDR-TB). Fingerstick blood specimens were tested at treatment initiation (M0) and the end of the first (M1), second (M2), and sixth month (M6) to generate a TB-score. ResultsThe TB-score in all participants yielded an AUC of 0.707 (95% CI: 0.579–0.834) at M2 when its performance was evaluated against sputum culture conversion. In all non-diabetes patients, the AUC reached 0.88 (95% CI: 0.756–1.000) with an optimal cut-off value of 1.95 at which sensitivity was 90.0% (95% CI: 59.6–98.2%) and specificity was 81.3% (95% CI: 70.0–88.9%). The mean TB score was higher in patients with low bacterial loads (n = 31) than those with high bacterial loads (n = 91) at M0, M1, M2, and M6, and was higher in non-cavitary patients (n = 71) than those with cavitary lesions (n = 51) at M0, M1, and M2. ConclusionXpert TB-score shows promising predictive value for culture conversion in non-diabetic TB patients. Sputum bacterial load and lung cavitation status have an influence on the value of TB score.

A look inside the gut as a clue to nutritional status.

Malabsorption and malnutrition are common gastrointestinal manifestations clinicians face, requiring diagnostic workup for effective diagnosis and management of the underlying cause. This review discusses recent advances in diagnostic approaches to malabsorption and maldigestion of macronutrients - lipids, proteins, and carbohydrates. We highlight underrecognized causes, available testing modalities, and ongoing diagnostic unmet needs. Innovations in the diagnostic landscape are enhancing our understanding of malabsorption syndromes. Stool collection and handling is uncomfortable and commonly avoided. The objective quantification of stool lipids, bile acids, and gut enzymes is therefore underused in the diagnosis and management of common disorders such as exocrine pancreatic insufficiency, bile acid diarrhea, protein-losing enteropathy, and more. We review the recent advancements in spot quantification of stool fat and bile acid content, endoscopic imaging techniques such as endocytoscopy, confocal laser endomicroscopy, and optical coherence tomography and the future place in clinical practice. Malabsorption and maldigestion represent significant challenges in clinical nutrition and gastroenterology. Through the integration of advanced diagnostic techniques, clinicians will be better equipped to tailor therapy and monitor treatment response, ultimately improving patient health outcomes. This review underscores the critical role of innovative diagnostic tools in accurately detecting and effectively managing gastrointestinal disorders linked to nutritional status.

The Diagnostic Utility of Biochemical Markers and Intestinal Ultrasound Compared with Endoscopy in Patients with Crohn's Disease and Ulcerative Colitis: A Systemic Review and Meta-Analysis.

Background: Inflammatory bowel disease (IBD) consists of Crohn's disease (CD) and Ulcerative colitis (UC). The main goal of treatment is to obtain mucosal healing via endoscopy. More recently, intestinal ultrasounds, along with biochemical markers, have been increasingly popular as point-of-care testing to monitor treatment response. This systemic review and meta-analysis aimed to assess the diagnostic test performance of ultrasonography and biochemical markers (C-reactive protein and fecal calprotectin) compared with endoscopy for detecting inflammation in IBD. Methods: A comprehensive literature search was conducted using PubMed Medline, EMBASE, ScienceDirect, and CINAHL from 1 January 2018 to 1 January 2024. The included studies were prospective and retrospective observational studies, clinical trials, and cross-sectional studies investigating the diagnostic sensitivity and specificity of ultrasonography, biochemical markers, and endoscopy. Studies were selected based on the Preferred Reporting Items for Systematic Review and Meta-analysis Statement (PRISMA). Results: Of the 1035 studies retrieved, 16 met the inclusion criteria, and most of the included studies were prospective observational studies. Diagnostic test accuracy was conducted, and the pooled sensitivity and specificity of all the studies revealed that ultrasonography has the highest pooled sensitivity, at 85% (95% CI, 78 to 91%), and specificity, at 92% (95% CI, 86 to 96%), as compared with biochemical markers and endoscopy. More specifically, biochemical markers had a pooled sensitivity and specificity of 85% (95% CI, 81 to 87%) and 61% (95% CI, 58 to 64%), respectively, and endoscopy had 60% (95% CI, 52 to 68%) and 82% (95% CI, 76 to 87%), respectively. However, the results also show substantial heterogeneity in the studies because of various populations, protocols, and outcomes in the studies included. This was especially noted in the assessment of biochemical markers, in which a metaregression was performed showing a nonsignificant p-value of 0.8856 for the coefficient. Conclusions: IUS was found to have the highest pooled sensitivity and specificity of all the included studies for diagnosing inflammation in patients with CD and UC, and this, coupled with biochemical markers, can improve diagnostic utility.

Diagnostic and prognostic significance of mast cell markers in HIV/AIDS: Current insights and future directions.

Human immunodeficiency virus (HIV) infection continues to pose significant global health challenges, necessitating advancements in diagnostic and prognostic approaches to optimize disease management. While primarily recognized for their roles in allergic responses, mast cells have emerged as potential markers with diagnostic and prognostic significance in the context of HIV/AIDS. This paper aims to synthesize current insights and delineate future directions regarding the utility of mast cell markers in diagnosing HIV infection, predicting disease progression, and guiding therapeutic strategies. Mast cells, equipped with distinct markers such as tryptase, chymase, carboxypeptidase A3, and c-kit/CD117 receptors, exhibit tissue-specific expression patterns that offer potential as diagnostic indicators for HIV infection. Understanding the dynamics of these markers in different tissues and body fluids holds promise for accurate HIV diagnosis, disease staging, and monitoring treatment responses. Moreover, the prognostic significance of mast cell markers in HIV/AIDS lies in their potential to predict disease progression, immune dysregulation, and clinical outcomes. The integration of mast cell markers into clinical applications offers promising avenues for refining diagnostic assays, patient monitoring protocols, and therapeutic strategies in HIV/AIDS. Future research directions involve the development of novel diagnostic tools and targeted therapies based on mast cell-specific markers, potentially revolutionizing clinical practice and enhancing patient care in the management of HIV/AIDS. Continued investigations into mast cell markers' diagnostic and prognostic implications hold immense potential to advance our understanding and improve outcomes in HIV/AIDS management.

Serum Aspergillus fumigatus-Specific IgG as a Complementary Biomarker in Differentiating Endotypes of Chronic Rhinosinusitis: A Study on Its Role and Diagnostic Efficacy in Type 2 Inflammation.

Aspergillus is one of the most common pathogens causing fungal allergy in the respiratory tract. Serum Aspergillus fumigatus-specific immunoglobulin G (Af-sIgG) levels have been used as a biomarker for the diagnosis and treatment response monitoring in airway allergic diseases such as allergic bronchopulmonary aspergillosis and allergic fungal rhinosinusitis. However, its role in common primary chronic rhinosinusitis (CRS) was unclear. This study aims to evaluate whether serum Af-sIgG level could serve as a biomarker for the disease presentation of primary CRS. We obtained serum Af-sIgG levels from patients diagnosed as bilateral primary CRS refractory to medical treatment and evaluated the correlations between serum Af-sIgG levels and disease severity in patients with type 2 (T2) and non-T2 CRS. Patients with T2 CRS exhibited significantly higher serum Af-sIgG levels than non-T2 CRS patients. The cut-off value of serum Af-sIgG in T2 CRS was 20.9 mg/L, with an odds ratio of 3.8 (95% CI 1.17-12.20, P = .026). Furthermore, serum Af-sIgG levels were positively correlated with symptom scores evaluated by the Sino-Nasal Outcome Test-22 (SNOT-22) scores in T2 patients (P = .009). While stratified by SNOT-22 total scores, patients with severe disease had higher serum Af-sIgG levels only in T2 CRS (P = .034). In individual domains of SNOT-22 analysis, serum Af-sIgG levels showed a significant correlation with "ear/facial" symptom scores in the T2 group (P < .001). Serum Af-sIgG levels may serve as a supplementary objective biomarker that correlates with identification and subjective measurements of T2 CRS, and may be associated with symptoms arising from Eustachian tube dysfunction.

Multiple Sclerosis: From the Application of Oligoclonal Bands to Novel Potential Biomarkers

Multiple sclerosis is a chronic immune-mediated disorder of the central nervous system with a high heterogeneity among patients. In the clinical setting, one of the main challenges is a proper and early diagnosis for the prediction of disease activity. Current diagnosis is based on the integration of clinical, imaging, and laboratory results, with the latter based on the presence of intrathecal IgG oligoclonal bands in the cerebrospinal fluid whose detection via isoelectric focusing followed by immunoblotting represents the gold standard. Intrathecal synthesis can also be evidenced by the measurement of kappa free light chains in the cerebrospinal fluid, which has reached similar diagnostic accuracy compared to that of oligoclonal bands in the identification of patients with multiple sclerosis; moreover, recent studies have also highlighted its value for early disease activity prediction. This strategy has significant advantages as compared to using oligoclonal band detection, even though some issues remain open. Here, we discuss the current methods applied for cerebrospinal fluid analysis to achieve the most accurate diagnosis and for follow-up and prognosis evaluation. In addition, we describe new promising biomarkers, currently under investigation, that could contribute both to a better diagnosis of multiple sclerosis and to its monitoring of the therapeutic treatment response.

Using Progress Feedback to Enhance Treatment Outcomes: A Narrative Review.

We face increasing demand for greater access to effective routine mental health services, including telehealth. However, treatment outcomes in routine clinical practice are only about half the size of those reported in controlled trials. Progress feedback, defined as the ongoing monitoring of patients' treatment response with standardized measures, is an evidence-based practice that continues to be under-utilized in routine care. The aim of the current review is to provide a summary of the current evidence base for the use of progress feedback, its mechanisms of action and considerations for successful implementation. We reviewed ten available meta-analyses, which report small to medium overall effect sizes. The results suggest that adding feedback to a wide range of psychological and psychiatric interventions (ranging from primary care to hospitalization and crisis care) tends to enhance the effectiveness of these interventions. The strongest evidence is for patients with common mental health problems compared to those with very severe disorders. Effect sizes for not-on-track cases, a subgroup of cases that are not progressing well, are found to be somewhat stronger, especially when clinical support tools are added to the feedback. Systematic reviews and recent studies suggest potential mechanisms of action for progress feedback include focusing the clinician's attention, altering clinician expectations, providing new information, and enhancing patient-centered communication. Promising approaches to strengthen progress feedback interventions include advanced systems with signaling technology, clinical problem-solving tools, and a broader spectrum of outcome and progress measures. An overview of methodological and implementation challenges is provided, as well as suggestions for addressing these issues in future studies. We conclude that while feedback has modest effects, it is a small and affordable intervention that can potentially improve outcomes in psychological interventions. Further research into mechanisms of action and effective implementation strategies is needed.

Designing SERS nanotags for profiling overexpressed surface markers on single cancer cells: A review

This review focuses on the chemical design and the use of Surface-Enhanced Raman Scattering (SERS)-active nanotags for measuring surface markers that can be overexpressed at the surface of single cancer cells. Indeed, providing analytical tools with true single-cell measurements capabilities is capital, especially since cancer research is increasingly leaning toward single-cell analysis, either to guide treatment decisions or to understand complex tumor behaviour including the single-cell heterogeneity and the appearance of treatment resistance. Over the past two decades, SERS nanotags have triggered significant interest in the scientific community owing their advantages over fluorescent tags, mainly because SERS nanotags resist photobleaching and exhibit sharper signal bands, which reduces possible spectral overlap and enables the discrimination between the SERS signals and the autofluorescence background from the sample itself. The extensive efforts invested in harnessing SERS nanotags for biomedical purposes, particularly in cancer research, highlight their potential as the next generation of optical labels for single-cell studies. The review unfolds in two main parts. The first part focuses on the structure of SERS nanotags, detailing their chemical composition and the role of each building block of the tags. The second part explores applications in measuring overexpressed surface markers on single-cells. The latter encompasses studies using single nanotags, multiplexed measurements, quantitative information extraction, monitoring treatment responses, and integrating phenotype measurements with SERS nanotags on single cells isolated from complex biological matrices. This comprehensive review anticipates SERS nanotags to persist as a pivotal technology in advancing single-cell analytical methods, particularly in the context of cancer research and personalized medicine.

Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors.

Tumor segmentation is essential in surgical and treatment planning and response assessment and monitoring in pediatric brain tumors, the leading cause of cancer-related death among children. However, manual segmentation is time-consuming and has high interoperator variability, underscoring the need for more efficient methods. After training, we compared 2 deep-learning-based 3D segmentation models, DeepMedic and nnU-Net, with pediatric-specific multi-institutional brain tumor data based on multiparametric MR images. Multiparametric preoperative MR imaging scans of 339 pediatric patients (n = 293 internal and n = 46 external cohorts) with a variety of tumor subtypes were preprocessed and manually segmented into 4 tumor subregions, ie, enhancing tumor, nonenhancing tumor, cystic components, and peritumoral edema. After training, performances of the 2 models on internal and external test sets were evaluated with reference to ground truth manual segmentations. Additionally, concordance was assessed by comparing the volume of the subregions as a percentage of the whole tumor between model predictions and ground truth segmentations using the Pearson or Spearman correlation coefficients and the Bland-Altman method. The mean Dice score for nnU-Net internal test set was 0.9 (SD, 0.07) (median, 0.94) for whole tumor; 0.77 (SD, 0.29) for enhancing tumor; 0.66 (SD, 0.32) for nonenhancing tumor; 0.71 (SD, 0.33) for cystic components, and 0.71 (SD, 0.40) for peritumoral edema, respectively. For DeepMedic, the mean Dice scores were 0.82 (SD, 0.16) for whole tumor; 0.66 (SD, 0.32) for enhancing tumor; 0.48 (SD, 0.27) for nonenhancing tumor; 0.48 (SD, 0.36) for cystic components, and 0.19 (SD, 0.33) for peritumoral edema, respectively. Dice scores were significantly higher for nnU-Net (P ≤ .01). Correlation coefficients for tumor subregion percentage volumes were higher (0.98 versus 0.91 for enhancing tumor, 0.97 versus 0.75 for nonenhancing tumor, 0.98 versus 0.80 for cystic components, 0.95 versus 0.33 for peritumoral edema in the internal test set). Bland-Altman plots were better for nnU-Net compared with DeepMedic. External validation of the trained nnU-Net model on the multi-institutional Brain Tumor Segmentation Challenge in Pediatrics (BraTS-PEDs) 2023 data set revealed high generalization capability in the segmentation of whole tumor, tumor core (a combination of enhancing tumor, nonenhancing tumor, and cystic components), and enhancing tumor with mean Dice scores of 0.87 (SD, 0.13) (median, 0.91), 0.83 (SD, 0.18) (median, 0.89), and 0.48 (SD, 0.38) (median, 0.58), respectively. The pediatric-specific data-trained nnU-Net model is superior to DeepMedic for whole tumor and subregion segmentation of pediatric brain tumors.

CT findings as predictive factors for treatment failure in Mycobacterium abscessus complex lung disease: a retrospective cohort study

PurposeMycobacterium abscessus complex (MABC) commonly causes lung disease (LD) and has a high treatment failure rate of around 50%. In this study, our objective is to investigate specific CT patterns for predicting treatment prognosis and monitoring treatment response, thus providing valuable insights for clinical physicians in the management of MABC-LD treatment.MethodsWe retrospectively assessed 34 patients with MABC-LD treated between January 2015 and December 2020. CT scores for bronchiectasis, cellular bronchiolitis, consolidation, cavities, and nodules were measured at initiation and after treatment. The ability of the CT scores to predict treatment outcomes was analyzed in logistic regression analyses.ResultsThe CT scoring system had excellent inter-reader agreement (all intraclass correlation coefficients, > 0.82). The treatment failure (TF) group (17/34; 50%) had higher cavitation diameter (p = 0.049) and extension (p = 0.041) at initial CT and higher cavitation diameter (p = 0.049) and extension (p =0 .045), consolidation (p = 0.022), and total (p = 0.013) scores at follow-up CT than the treatment success (TS) group. The changes of total score and consolidation score (p = 0.049 and 0.024, respectively) increased in the TF group more than the TS group between the initial and follow-up CT. Multivariable logistic regression analysis showed initial cavitation extension, follow-up consolidation extension, and change in consolidation extension (adjusted odds ratio: 2.512, 2.495, and 9.094, respectively, per 1-point increase; all p < 0.05) were significant predictors of treatment failure.ConclusionsA high pre-treatment cavitation extension score and an increase in the consolidation extension score during treatment on CT could be alarm signs of treatment failure requiring tailor the treatment of MABC-LD carefully.

Abstract PO5-13-12: Personalized circulating tumor DNA testing for recurrence detection and treatment response monitoring in patients with metastatic invasive lobular carcinoma

Abstract Introduction Metastatic invasive lobular carcinoma (mILC) presents unique challenges during treatment response monitoring. A higher frequency of metastases to the bone, gastrointestinal tract, uterus, meninges, ovary, and diffuse serosal involvement is observed in mILC. The challenge with mILC is that they can be difficult to detect clinically and radiographically, and consequently clinical progression can be difficult to determine with conventional imaging modalities like CT Scans, thus precluding many patients with mILC from enrolling into clinical trials. Therefore more accurate biomarkers are needed to better assess response to treatment in real time. In this study, we demonstrate the feasibility of longitudinal ctDNA testing for treatment response monitoring in patients with mILC. Methods In this real-world study, longitudinal plasma samples (n=219) from 60 patients with mILC, treated across 52 independent clinics between 7/22/21 and 6/15/23, were analyzed. A personalized, tumor-informed ctDNA assay (SignateraTM bespoke, mPCR-NGS assay) was used for detection and quantification of ctDNA in plasma samples. Results In this cohort, the median patient age at diagnosis of metastatic disease (baseline) was 62.9 years (range: 32.2-79.7). Of the 60 patients, 41 (68%) had ER+PR+HER2-, 7 (12%) ER+PR-HER2-, 4 (7%) ER+PR+HER2+, 2 (3%) ER+PR-HER2+, 1 (2%) triple negative breast cancer; receptor status was not available for 5 (8%) patients. CDH1 (75%) and PIK3CA (42%) were observed to be the top two genes with somatic, nonsynonymous mutations. Mutations in TP53 and TBX3 were observed in 13% of patients, mutations in AKAP9, IGFN1, RBM26, and RFC3 in 10% of patients, and mutations in ESR1 in 6.7% of patients. At variant level, PIK3CA p.H1047R (22%) and RBM26 p.Q701Tfs*23 (10%) were the top two somatic variants identified. The most common CDH1 variant, p.Q23*, was found in 5% of the cases. Of the 60 patients, 37 (61.7%) were ctDNA-positive at all time points while on treatment (chemotherapy/endocrine therapy/targeted therapy) with the first time point collected at a median of 6.7 months (range: 2.5-2307 months) from baseline. Of these 37, imaging/biopsy results after baseline were available for 32 patients, 86% (27/32) of whom progressed. Thirty-two of 37 persistently ctDNA-positive patients had serial ctDNA measurements available, of which 14 (43%) had significant increase in ctDNA levels (average: 47-fold increase, standard deviation: 98) from first to last time points. At some point during their care ctDNA was detectable in all (n=51) patients with evidence of clinical progression. Of the 60 patients, 14 (23.3%) were ctDNA-negative at all time points tested. None of the 14 persistently ctDNA-negative patients had evidence of disease recurrence or progression at the time of initial testing or throughout ctDNA monitoring. The first ctDNA time point was collected at a median of 33.1 months (range: 0.68-92 months) from baseline for these patients,a median of 3 time points was tested per patient (1-12). Of the remaining 9/60 patients, 3 (33%) had sustained ctDNA clearance for a median of 46 days (range: 0-224 days) in response to treatment, and 2 (22%) were initially ctDNA-negative but turned positive 105 and 156 days later, indicating potential resistance to treatment and molecular progression. Additional 4/9 (44%) had ctDNA levels consistently low levels (average: 0.42 mean tumor molecules/mL) while on treatment for a median of 260 days (range: 217-442) and showed no evidence of progression. Conclusions ctDNA status and dynamics correlate well with clinical status of patients with mILC, as determined by conventional monitoring tools such as imaging and biopsy. Our results indicate that personalized, tumor-informed, longitudinal ctDNA testing may serve as a useful tool for detection of progression and monitoring treatment response in mILC patients. Citation Format: Steffi Oesterreich, Antony Tin, Samuel Rivero-Hinojosa, Janie Fielder, Jenifer Ferguson, Ekaterina Kalashnikova, Angel Rodriguez, Minetta Liu, Adrian Lee. Personalized circulating tumor DNA testing for recurrence detection and treatment response monitoring in patients with metastatic invasive lobular carcinoma [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 PO5-13-12.

Abstract PO4-15-12: Personalized circulating tumor DNA monitoring to predict response to neoadjuvant therapy in patients with early-stage breast cancer

Abstract Introduction Longitudinal ctDNA testing offers a minimally invasive approach for monitoring treatment response in patients with breast cancer (BC). In this study, we evaluated whether serial ctDNA testing during neoadjuvant therapy (NAT) can provide an early indication of treatment response or resistance and disease progression. Methods In this real world study, longitudinal blood samples collected from 159 patients with stage I-III BC were analyzed using a personalized, tumor-informed ctDNA assay (SignateraTM bespoke mPCR-NGS assay). Of the 159 patients, 157 received standard of care NAT; the remaining 2 patients were treated with endocrine therapy only in the neoadjuvant setting. Blood samples were collected at the time of diagnosis from 71 patients (baseline) and longitudinally during treatment from 159 patients (median time between time points: 1.5 months). ctDNA status and dynamics were correlated with clinicopathological features and surgical outcomes available at the time of data cut off. Results At baseline, ctDNA was detected in 72% (51/71) of patients. Baseline ctDNA detection rates varied based on histologic subtypes: 82% (28/34) in patients with triple negative breast cancer, 88% (15/17) in patients with HER2+ disease and 40% (8/20) in patients with ER+HER2- BC. ctDNA was detectable at baseline in 72% (26/36) of patients with clinical T1-2 disease and 92% (11/12) of patients with T3-4 disease. ctDNA was detected in 64% (16/25) of patients with clinical N0, whereas among patients with at least one positive lymph node, ctDNA was detected in 92% (22/24). At baseline, 65% (31/48) of patients with low/intermediate-grade disease were ctDNA-positive, while 81% (25/31) of patients with high-grade disease were ctDNA-positive. Similarly, 83% (24/29) of patients with high levels (&amp;gt;20%) of Ki67 expression had detectable ctDNA prior to treatment initiation, while only 22% (2/9) of those with low level (&amp;lt; 20%) of Ki67 expression had ctDNA detected. Surgical outcomes were available for 22 patients of whom 16 had achieved pathologic complete response (pCR). While 3/16 pts were ctDNA negative at baseline, all of the remaining cases except one patient with baseline ctDNA detection and serial measurements (11/12) became ctDNA negative by the end of two months of treatment. Despite achieving pCR, one patient with inflammatory ER+HER2+ BC remained ctDNA positive before and after the surgery, which informed a change in the adjuvant treatment strategy. Among those with residual disease (pT1c-T3), 28% (7/25) remained ctDNA positive after two months of NAT. Association between ctDNA dynamics and surgical outcomes of the remaining 137 patients will be presented at the time of the conference. Conclusions This real world study demonstrates the prevalence of ctDNA detection and dynamics in patients with eBC treated with NAT. ctDNA monitoring during NAT can facilitate real-time assessment of treatment response and serve as an early indicator of subsequent pCR to NAT. Citation Format: Mridula George, Trishala Meghal, Coral Omene, Ekaterina Kalashnikova, Janie Fielder, Nisha Ohri, Shicha Kumar, Valeria Burkovskaya, Preena Patel, Ashley Young, Melanie Racenstein, Tinamarie Bauman, Wassim Mchayleh, Deborah Toppmeyer, Shridar Ganesan, Barry Rosen, Angel Rodriguez, Minetta Liu. Personalized circulating tumor DNA monitoring to predict response to neoadjuvant therapy in patients with early-stage 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 PO4-15-12.

Abstract PO5-16-05: Integrating Circulating Tumor Cells (CTCs) and Cell-free DNA (cfDNA) Signatures for Monitoring Treatment Response in Stage III/IV Inflammatory Breast Cancer

Abstract Background: Inflammatory breast cancer (IBC) is a rare and aggressive form of breast cancer, comprising only between 1-5% of all breast cancer cases in the United States. Despite its low incidence, IBC accounts for 10% of breast cancer-related deaths and is often diagnosed with metastasis, resulting in shorter survival compared to non-IBC cases. The 5-year relative survival rate for all stages of IBC is 39%, dropping to 19% for patients with distant metastasis. Liquid biopsy-based biomarkers have emerged as potential analytes for predicting prognosis and monitoring response to therapies in IBC patients. We explored the prognostic role of liquid biopsy encompassing both CTCs and cfDNA in the blood of patients with stage III/IV IBC and their clinical outcomes. Methods: CTC and cfDNA analysis was performed on 90 blood samples from 47 patients with stage III and IV IBC. Samples were collected before (pre-treatment, n=43) initiation and after (post-treatment, n=47) completion of neoadjuvant chemotherapy. CTCs were enriched and enumerated using the CellSearch® platform (Menarini-Silicon Biosystems). CfDNA was extracted from plasma using MagMax™ Cell-Free Total Nucleic Acid Isolation Kit (Applied Biosystems™) and quantified using the Qubit™ dsDNA High Sensitivity kit (Invitrogen™). Differences in cfDNA concentrations were used to plot a receiver operating characteristic (ROC) curve which was then used to determine Area Under the Curve (AUC) and a cfDNA cut-off point. ROC cut-off was calculated based on Youden Index J. Survival analysis was performed by the Kaplan-Meier estimator and Cox regression models. P-values were measured using the Student t-test. Results: Prior to neoadjuvant treatment, CTC was detected in 51% of patient samples, and the median cfDNA concentration was 5.87 ng/mL (range 0.95-24.11 ng/mL). After completion of neoadjuvant treatment, CTC was detected in 25% of patient samples, and the median cfDNA concentration was 11.19 ng/mL (range 3.41-88.13 ng/mL). The cut-off points determined for pre-treatment and post-treatment cfDNA concentration was &amp;gt;4.2 ng/mL and &amp;gt;9.5 ng/mL respectively. At pre-treatment, CTC detection and cfDNA concentration &amp;gt;4.2 ng/mL were independently associated with disease relapse (P=0.007, 0.016, respectively). The combination of CTC detection and cfDNA concentration &amp;gt;4.2 ng/mL was significantly associated with disease relapse (P=0.0004), decreased relapse free survival (RFS, P=0.005) and overall survival (OS, P=0.007). At the post-neoadjuvant treatment time point, the combination of CTC detection and cfDNA concentration &amp;gt;9.5 ng/mL was significantly associated with relapse regardless of pCR status (P=0.02). Conclusion: The combined presence of CTCs and elevated cfDNA concentrations in patients with stage III/IV IBC after completion of neoadjuvant chemotherapy was associated with disease relapse regardless of pCR status. A combination of elevated cfDNA and CTC detection signatures after completion of neoadjuvant chemotherapy may be useful for risk stratification and adjuvant systemic therapy planning. Citation Format: Sridevi Addanki, Salyna Meas, Vanessa Sarli, Abdulkader Almosa, Wendy Woodward, Dhruvajyoti Roy, Anthony Lucci. Integrating Circulating Tumor Cells (CTCs) and Cell-free DNA (cfDNA) Signatures for Monitoring Treatment Response in Stage III/IV Inflammatory 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 PO5-16-05.

Abstract PO5-04-13: Liquid Biopsy Testing in a Greek Cohort of ER-positive, HER2-negative metastatic breast cancer patients

Abstract AIM Endocrine therapy (ET) represents the first line treatment for patients with ER+, HER2- breast cancer, however disease progression is observed in many cases. PIK3CA and ESR1 are the most encountered mutated genes that have been associated with targeted molecular treatment, as well as with resistance to Endocrine Therapy. Liquid biopsy is a non-invasive procedure, that can provide “real-time” monitoring of disease progression and response to treatment. The aim of this study is to determine the mutation rate of ESR1 and PIK3CA genes in a selected cohort of 200 Greek breast cancer patients, using liquid biopsies and NGS technology. PATIENTS AND METHODS Liquid biopsies were collected from 200 ER-positive, HER2-negative metastatic breast cancer patients who have received at least one previous line of endocrine treatment. cfDNA was extracted using the QIAamp Circulating Nucleic Acid Kit (Qiagen). Library preparation was performed using Oncomine™ Breast cfDNA Research Assay (Thermofisher Scientific) and sequencing was carried out using Ion GeneStudio™ S5 System (Thermofisher Scientific). Ion Torrent Oncomine Knowledgebase Reporter was used in sequence analysis and interpretation of Copy number variations, SNPs, and indels. RESULTS Preliminary data of the first 49 examined samples demonstrated the prevalence of ESR1 and PIK3CA mutations in 20.4% (10/49) and 38.7% (19/49) of the cases respectively. The most frequently mutated codon in the ESR1 gene is the Y537, while in the PIK3CA gene, the H1047 codon is mainly altered. ESR1 and PIK3CA genes were co-mutated in 10.2% of the cases. Mutations in KRAS (6.1%) and TP53 (24%) were also detected. CONCLUSION More than 20% of the ER-positive, HER2-negative breast cancer patients with metastatic disease are eligible for targeted treatment with elacestrant. In addition, the high prevalence of mutations detected in our cohort indicates that liquid biopsy NGS panel testing can be used to monitor treatment response, track the development of resistance, and identify emerging genetic alterations that may guide treatment adjustments or the selection of alternative targeted therapies in breast cancer patients. REFERENCES Demir Cetinkaya B, Biray Avci C. Molecular perspective on targeted therapy in breast cancer: a review of current status. Med Oncol. 2022 Jul 14;39(10):149. doi: 10.1007/s12032-022-01749-1. PMID: 35834030; PMCID: PMC9281252. Liao H, Huang W, Pei W, Li H. Detection of ESR1 Mutations Based on Liquid Biopsy in Estrogen Receptor-Positive Metastatic Breast Cancer: Clinical Impacts and Prospects. Front Oncol. 2020 Dec 15;10:587671. doi: 10.3389/fonc.2020.587671. PMID: 33384956; PMCID: PMC7770162. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-elacestrant-er-positive-her2-negative-esr1-mutated-advanced-or-metastatic-breast-cancer Citation Format: Nikolaos Tsoulos, Angeliki Meintani, Georgios Kapetsis, Chrysiis Chatzigiannidou-Florou, Aikaterini Tsantikidi, Stella Maxouri, Eleni Thanou, Kalliopi Aggelaina, Vasiliki Metaxa-Mariatou, Georgios Tsaousis, Ioannis Natsiopoulos, Vasileios Venizelos, Christos Markopoulos, Flora Zagouri, Eleftherios Kampletsas, Eirini Karyda, Dimitrios Tryfonopoulos, Konstantinos Papazisis, Dimitrios Ziogas, Ilias Athanasiadis, Eirini Papadopoulou, Georgios Nasioulas. Liquid Biopsy Testing in a Greek Cohort of ER-positive, HER2-negative metastatic breast cancer patients [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 PO5-04-13.

Amoebic liver abscess in an adult Nigerian: A case report

Background: Amoebic liver abscess (ALA) is a parasitic infection caused by Entamoeba histolytica. ALA is a significant health concern, particularly in regions with poor sanitation and hygiene practices. Radiological imaging plays a crucial role in the diagnosis and management of ALA. Methods: We present a case report of a 40-year-old male patient with ALA. The patient presented to a radio diagnostic centre in Umuahia with right upper quadrant abdominal pain, fever,diarrhea and weight loss. Radiological evaluation was performed using abdominal ultrasound and contrast-enhanced CT scan. The imaging findings were correlated with clinical presentation and laboratory investigations. Results: The radiological findings revealed a focal hypoechoic lesion in the right hepatic lobe with ill-defined margins and internal echoes suggestive of liquefaction. The contrast-enhanced CT scan confirmed the presence of a well-defined, hypodense lesion with peripheral enhancement and central hypoattenuation. No evidence of biliary ductal dilatation or vascular invasion was observed. Based on the findings, a diagnosis of ALA was made, and the patient was initiated on intravenous metronidazole therapy. Follow-up imaging demonstrated a decrease in abscess size and resolution of internal echoes, indicating a positive response to treatment. Conclusion: Radiological imaging, including ultrasound and CT scan, plays a pivotal role in the diagnosis and management of ALA. The characteristic imaging findings, such as hypoechoic lesions with internal echoes and peripheral enhancement with central hypoattenuation, aid in differentiating ALA from other hepatic lesions. Early diagnosis and prompt initiation of appropriate therapy are crucial for favorable patient outcomes. Radiological follow-up allows monitoring of treatment response and guides further management decisions.

Is functional MRI meaningful in migraine?

Functional magnetic resonance imaging (fMRI) is an imaging method that enables us to understand brain anatomy, mapping and its function. While fMRI was previously used in experimental studies, it has now been used in clinical studies. Imaging in fMRI is based on measuring the increase in regional blood flow caused by cortical activation. fMRI indirectly demonstrates neural activation by detecting increases in oxygenation. fMRI relies on the sensitivity of magnetic resonance signals to changes in deoxyhemoglobin levels or perfusion, reflecting the metabolic and hemodynamic responses associated with neural activation. Imaging is arranged in the clinic for primary headaches if needed for a differential diagnosis. However, imaging studies are utilized in scientific research to elucidate the pathophysiology. Migraine is a common episodic disorder characterized by recurring attacks. Investigating the functional structure of the brain during both attack and interictal periods is crucial in understanding migraine pathology. However, capturing patients' migraine attacks for monitoring purposes without treatment is considered unethical in many countries. Moreover, conducting such studies is hindered by the requirement for prolonged hospital stays and extended imaging times, which significantly increase costs. Despite the challenges of conducting research in migraine patients, fMRI stands out as an excellent imaging method for investigating the functional brain structures involved in this episodic disorder. Several fMRI studies have yielded valuable insights into the pathophysiology of migraine. fMRI is believed to offer valuable guidance in refining our understanding of migraine-specific mechanisms, facilitating biomarker studies for migraine activity, and elucidating abnormal functions in regions affected by migraine. Monitoring treatment response using biomarkers is anticipated to be an effective tool for identifying targets for migraine treatment, including assessing treatment efficacy in the development of new migraine-specific therapies.