Liquid Biopsy Response Evaluation Criteria in Solid Tumors (LB-RECIST)

The growing field of liquid biopsy and its Snowball effect on reshaping cancer management

Liquid biopsy (LB) has emerged as a transformative tool in oncology, providing a minimally invasive approach for tumor detection, molecular characterization, and real-time treatment monitoring. By analyzing circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), extracellular vesicles (EVs), and microRNA (miRNA), LB enables comprehensive tumor profiling without the need for traditional tissue biopsies. Over the past decade, research in this field has expanded exponentially, leading to the integration of LB into clinical practice for specific cancer types, including lung and breast cancer. In 2024, the Journal of Liquid Biopsy (JLB) published innovative studies exploring the latest advancements in LB technologies, biomarkers, and their applications for cancer detection, minimal residual disease (MRD) monitoring, and therapy response assessment. This review synthesizes recent findings on the role of LB in cancer treatment and monitoring across different biomarkers, with a particular focus on newly published studies and their context within translational research. Additionally, it highlights emerging techniques such as fragmentomics, artificial intelligence, and multiomics, paving the way for more precise, personalized treatment decisions. Despite these advancements, challenges remain in standardizing methodologies, optimizing clinical validation, and integrating LB into routine oncological workflows. This mini-review highlights the evolving landscape of LB research and its potential to revolutionize cancer diagnosis, treatment monitoring, and therapeutic decision-making, ushering in a new era of precision oncology.

Value of [18F]AlF-NOTA-FAPI-04 PET/CT for predicting pathological response and survival in patients with locally advanced pancreatic ductal adenocarcinoma receiving neoadjuvant chemotherapy

OBJECTIVES

This study aimed to evaluate the predictive value of [18F]AlF-NOTA-FAPI-04 PET/CT for pathological response to neoadjuvant chemotherapy (NCT) and prognosis in patients with locally advanced pancreatic ductal adenocarcinoma (LAPDAC).

METHODS

This study included 34 patients with histopathologically and radiologically confirmed LAPDAC who received [18F]AlF-NOTA-FAPI-04 PET/CT scans before NCT. After 4-6 cycles of NCT, these patients underwent radical resection. Pathological response to NCT was assessed by pathological tumor regression grades (TRG) based on the Evans system. PET/CT parameters were evaluated for their association with TRG, recurrence-free survival (RFS) and overall survival (OS) after NCT, including the maximum standardized uptake value (SUVmax), FAPI-avid tumor volume (FTV), total lesion FAP expression (TLF) of primary tumor, total FAPI-avid pancreatic volume (FPV) and total pancreatic FAP expression (TPF) of total pancreas.

RESULTS

Of 34 patients with LAPDAC, 14 patients had a pathologic good response (PGR, Evans III-IV), and 20 patients had a pathologic poor response (PPR, Evans I-II). Both the primary tumor SUVmax, FTV and TLF, and total pancreas FPV and TPF in the PGR groups were significantly lower than those in the PPR groups. Furthermore, SUVmax and TLF were higher in poorly differentiated LAPDAC than in well-moderately differentiated neoplasms. The FTV, TLF, FPV and TPF were closely associated with RFS and OS. On multivariate analysis, patients with FTV > 54.21 and TLF > 290.21 had a worse RFS and OS, respectively (HR = 3.24, P = 0.014 and HR = 3.35, P = 0.019) and OS (HR = 7.35, P = 0.002 and HR = 7.09, P = 0.004) in LAPDAC after NCT.

CONCLUSIONS

The parameters of [18F]AlF-NOTA-FAPI-04 PET/CT had the excellent performance for predicting pathologic TRG after NCT in LAPDAC. FTV and TLF were independent postoperative prognostic factors for RFS and OS for LAPDAC.

Circulating tumour DNA and circulating tumour cells in bladder cancer - from discovery to clinical implementation

Liquid biopsies, indicating the sampling of body fluids rather than solid-tissue biopsies, have the potential to revolutionize cancer care through personalized, noninvasive disease detection and monitoring. Circulating tumour DNA (ctDNA) and circulating tumour cells (CTCs) are promising blood-based biomarkers in bladder cancer. Results from several studies have shown the clinical potential of ctDNA and CTCs in bladder cancer for prognostication, treatment-response monitoring, and early detection of minimal residual disease and disease recurrence. Following successful clinical trial evaluation, assessment of ctDNA and CTCs holds the potential to transform the therapeutic pathway for patients with bladder cancer - potentially in combination with the analysis of urinary tumour DNA - through tailored treatment guidance and optimized disease surveillance.

Circulating tumor DNA Clearance as a Predictive Biomarker of Pathologic Complete Response in Patients with Solid Tumors Treated with Neoadjuvant Immune-Checkpoint Inhibitors: a Systematic Review and Meta-Analysis

BACKGROUND

In patients with solid tumors undergoing neoadjuvant immune checkpoint inhibitor (ICI) therapy, identifying biomarkers to predict pathologic complete response (pCR) preoperatively could enhance treatment modulation. Circulating tumor DNA (ctDNA) clearance is a potential predictor of pCR, though its analytical and clinical validity has yet to be established. This systematic review and meta-analysis aims to assess the role of ctDNA clearance as a predictor of pCR in patients with solid tumors treated with neoadjuvant ICIs.

MATERIALS AND METHODS

A systematic search of PubMed, EMBASE and conference proceedings up to 5 August 2024 was carried out to identify phase 1b, 2 or 3 clinical trials investigating ctDNA clearance and pCR in patients with solid tumors and detectable ctDNA, undergoing neoadjuvant therapy with ICIs. Using a bivariate model, we estimated the pooled sensitivity and specificity of ctDNA clearance in predicting pCR, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), with 95% Confidence Intervals (CI).

RESULTS

Thirteen trials involving 380 patients with detectable ctDNA at baseline were included. ctDNA was assessed with a tumor-informed approach in 11 (85%) trials. Overall, 38% of patients achieved pCR and 73% had ctDNA clearance before/at the surgery. Pooled sensitivity was 0.98 (95% CI: 0.86, 1.00), specificity was 0.53 (95% CI: 0.37, 0.69), PLR was 2.09 (95% CI: 1.48, 2.93), NLR was 0.04 (95% CI: 0.01, 0.26), DOR was 57.36 (95% CI: 8.12, 405.12). Significant heterogeneity was observed across studies (I2 ∼70% for all metrics), indicating considerable variability in the diagnostic performance.

CONCLUSION

The lack of ctDNA clearance may identify patients unlikely to have a pCR. Instead, the confirmatory power of ctDNA clearance is limited by low specificity and high heterogeneity due to the variability of the assays, and warrants further study. Therefore, clinicians should not rely on the use of ctDNA clearance to inform treatment decisions in the neoadjuvant setting.

Precision surgery for hepatocellular carcinoma

Hepatocellular carcinoma arises in the setting of cirrhosis in most cases, requiring multidisciplinary input to define resectability. In this regard, more precise surgical management considers patient factors and anatomical states, including resection margins, tumour biology, and perioperative therapy. Together with advances in surgical techniques, this integrated approach has resulted in considerable improvements in patient morbidity and oncological outcomes. Despite this, recurrence rates in hepatocellular carcinoma remain high. As the systemic treatment landscape in hepatocellular carcinoma continues to evolve and locoregional options are increasingly used, we review current and future opportunities to individualise the surgical management of patients with hepatocellular carcinoma.

De-escalation of Adjuvant Therapy in Operatively Managed HPV Associated Oropharyngeal Carcinoma: Current Status and Future Directions

Human papillomavirus (HPV) associated oropharyngeal carcinoma is currently the most frequently diagnosed head and neck cancer in the United States. Due to the generally high cure rates with standard therapies, de-intensification strategies are being explored to reduce acute and long-term side effects. For patients treated with definitive chemoradiation, unselected de-escalation has shown worse progression-free survival compared to standard therapy. Concurrently, surgical management is becoming more prevalent, and adjuvant de-escalation appears promising. Further research is required to identify optimal candidacy for adjuvant de-escalation and to understand the relationship between dose and volume de-escalation. Biomarkers such as ctDNA may assist in candidate selection, but validation and alignment with pathological criteria are necessary.

Circulating tumor DNA in endometrial cancer: clinical significance and implications

Circulating tumor DNA (ctDNA) is a promising non-invasive tool that has been demonstrated to be a clinically useful biomarker in several tumor types for risk stratification, prognosis, and early detection of recurrence. However, there are limited data on the clinical utility of ctDNA in endometrial cancer (EC) compared with other solid tumors. The evolution of EC management through the integration of molecular characterization into the treatment algorithm has intensified the need to develop more effective predictive biomarkers to optimize treatment and reduce clinical toxicities. Given its non-invasive nature and its ability to represent and complement tumor multiclonal spatial and temporal heterogeneity, ctDNA could act as a valid surrogate for tissue sampling. In addition to plasma ctDNA detection being associated with clinicopathologic features of tumor aggressiveness at pre-operative assessment, an association with reduced disease-free survival and overall survival has been observed in patients with detectable ctDNA. Moreover, the half-life of ctDNA is significantly shorter than CA125, and plasma levels are reported to be completely cleared from the blood within 1 week from surgical debulking. Therefore, ctDNA may serve as a dynamic biomarker for occult microscopic residual disease when assessed within the first 4 to 8 weeks after eradicative surgery. Few studies have reported high sensitivity of ctDNA in detecting disease recurrence at longitudinal follow-up, although there are limited data comparing ctDNA and traditional serum biomarkers (CA125 and HE4) in identifying recurrence. In the perspective of personalized oncology, ctDNA may potentially help improve adjuvant therapeutic management by escalating/de-escalating treatment based on ctDNA detection after surgery, during maintenance, or in the recurrent/metastatic setting, in addition to acting as a sensitive biomarker for early detection of recurrence. Several challenges hinder the use of ctDNA in EC, including the lack of standardized protocols, the low mutational burden, tumor heterogeneity, and background normal DNA, which limit assay sensitivity and specificity. In addition, the high cost of ctDNA analysis, particularly, next-generation sequencing, restricts its accessibility. Future trials should focus on cost-effective approaches to ensure sustainability and efficient resource allocation.

Liquid biopsy for guiding breast cancer immunotherapy

Liquid biopsy is a laboratory test used to detect and analyze circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and other tumor-derived components, in a blood sample. In the context of breast cancer (BC), liquid biopsies hold significant promise for guiding the use of immune checkpoint inhibitors and immune-based combinations, offering real-time insights into tumor dynamics, treatment response, and resistance mechanisms. This review explores the role of liquid biopsy in BC immunotherapy, focusing on its applications, benefits, issues, and current and future research directions.

Efficacy assessment in phase I clinical trials: endpoints and challenges

The scope of phase I clinical trials in oncology goes beyond the conventional safety evaluation-only objectives of these trials in other specialties. Rather, most first-in-human oncology clinical trials have therapeutic intent, and efficacy signals observed in phase I trials can drive a go/no-go decision of advancing a new molecule to phase II testing. The complexity of efficacy assessment in the context of a small, heterogeneous patient population and a complex study design requires a more liberal perspective compared with later trial phases when looking into efficacy endpoints. Classically, in later-phase clinical trials, these endpoints would include the objective response rate, progression-free survival, and overall survival. However, new, evolving endpoints may be worth investigating when looking into the antitumor activity signals in phase I trials. Integration of all these endpoints into trial designs can improve the assessment of therapeutic efficacy during early drug development and guide decisions related to the further advancement of novel molecules into later phases. In this review, we discuss the advantages and pitfalls of different classic efficacy endpoints when evaluated as part of phase I trials in oncology and describe how challenges in assessing the antitumor activity of new drugs can be overcome through the incorporation of novel endpoints that have thus far proven successful in clinical trials.

Comprehensive Genome Profiling-Initiated Tumor-Informed Circulating Tumor DNA Monitoring for Patients With Advanced Cancer

In Japan, comprehensive genome profiling (CGP) as a companion diagnostic (CDx) has been covered by public insurance since June 2019, but the proportion of patients with cancer who actually received drug therapy based on CGP data is low. In the present study, we attempted to use CGP as a starting point for tumor-informed circulating tumor DNA (ctDNA) monitoring. We retrospectively validated 219 patients with malignant tumors who underwent CGP at Iwate Medical University Hospital between October 2019 and April 2023 in terms of patient demographics, genetic analysis, drug recommendations, and drug administration rate. The 219 cancer cases analyzed by CGP for 27 target organs, including prostate (n = 27, 12.3%), colorectal (n = 25, 11.4%), lung (n = 19, 8.7%), and other neoplasms (n = 148, 67.6%). Among the cohort, only 14 cases (6.4%) subsequently were able to undertake the recommended action by Molecular Tumor Board. Of patients who underwent ctDNA monitoring based on somatic mutations identified by CGP (n = 11), clinical validity was confirmed in terms of early relapse prediction (n = 5, 45.5%), treatment response evaluation (n = 10, 90.9%), and no relapse/regrowth corroboration (n = 2, 18.2%) whereas 90.9% (n = 10) of patients obtained information with at least one source of the clinical validity. Although the current rate of CGP contributing to a drug recommendation is low, CGP results can be an alternate resource for tumor-informed longitudinal ctDNA monitoring to provide information concerning early relapse prediction, treatment response evaluation, and no relapse/regrowth corroboration.

A perspective review on the systematic implementation of ctDNA in phase I clinical trial drug development

Circulating tumour DNA (ctDNA) represents an increasingly important biomarker for the screening, diagnosis and management of patients in clinical practice in advanced/metastatic disease across multiple cancer types. In this context, ctDNA-based comprehensive genomic profiling is now available for patient management decisions, and several ctDNA-based companion diagnostic assays have been approved by regulatory agencies. However, although the assessment of ctDNA levels in Phase II-III drug development is now gathering momentum, it remains somewhat surprisingly limited in the early Phase I phases in light of the potential opportunities provided by such analysis. In this perspective review, we investigate the potential and hurdles of applying ctDNA testing for the inclusion and monitoring of patients in phase 1 clinical trials. This will enable more informed decisions regarding patient inclusion, dose optimization, and proof-of-mechanism of drug biological activity and molecular response, thereby supporting the evolving oncology drug development paradigm. Furthermore, we will highlight the use of cost-efficient, agnostic genome-wide techniques (such as low-pass whole genome sequencing and fragmentomics) and methylation-based methods to facilitate a more systematic integration of ctDNA in early clinical trial settings.

Advancements in non-invasive diagnosis of gastric cancer

Gastric cancer (GC), a multifaceted and highly aggressive malignancy, represents challenging healthcare burdens globally, with a high incidence and mortality rate. Although endoscopy, combined with histological examination, is the gold standard for GC diagnosis, its high cost, invasiveness, and specialized requirements hinder widespread use for screening. With the emergence of innovative technologies such as advanced imaging, liquid biopsy, and breath tests, the landscape of GC diagnosis is poised for radical transformation, becoming more accessible, less invasive, and more efficient. As the non-invasive diagnostic techniques continue to advance and undergo rigorous clinical validation, they hold the promise of significantly impacting patient outcomes, ultimately leading to better treatment results and improved quality of life for patients with GC.

Plasma ctDNA kinetics as a predictor of systemic therapy response for advanced non-small cell lung cancer: a systematic review and meta-analysis

BACKGROUND

Predicting early treatment response in advanced non-small cell lung cancer (NSCLC) is challenging. Longitudinal monitoring of circulating tumor DNA (ctDNA) can track tumor response to treatments like immune checkpoint blockade (ICB) and correlate with outcomes. This meta-analysis evaluated whether ctDNA clearance or decrease is associated with improved survival across various settings in NSCLC.

METHODS

A systematic review of MEDLINE, EMBASE, and Cochrane databases (up to April 2024) identified studies evaluating the impact of ctDNA kinetics on survival outcomes in non-curative NSCLC settings. Pooled hazard ratios (HR) for progression-free survival (PFS) and overall survival (OS) were calculated using a random effects model.

RESULTS

We included 32 studies with 3047 NSCLC patients receiving systemic therapies such as targeted therapy (TT), ICB, and chemotherapy. Meta-analysis of 31 studies showed that ctDNA decrease/clearance was linked to improved PFS (HR: 0.32 [0.26, 0.40], I² = 63%, P < .01). Subgroup analysis indicated strong PFS benefits from ctDNA clearance (HR: 0.27 [0.20, 0.36]). Similar improvements were seen across patients undergoing targeted therapy (HR: 0.34) and ICB (HR: 0.33). Analysis of 25 studies revealed a significant association between ctDNA reduction and better OS (HR: 0.31 [0.23, 0.42], I² = 47%, P < .01). Subgroup findings were consistent for both TT (HR: 0.41) and ICB (HR: 0.32). Sensitivity analysis demonstrated that ctDNA clearance/decrease was consistently associated with improved PFS across study designs and ctDNA analysis methods. There was no significant variation in hazard ratios for PFS based on NSCLC subtypes, smoking status, or sex.

CONCLUSION

Plasma ctDNA kinetics was associated with improved survival outcomes in patients diagnosed with advanced NSCLC undergoing treatment with TT and ICB.

Leptomeningeal metastatic disease: new frontiers and future directions

Leptomeningeal metastatic disease (LMD), encompassing entities of 'meningeal carcinomatosis', neoplastic meningitis' and 'leukaemic/lymphomatous meningitis', arises secondary to the metastatic dissemination of cancer cells from extracranial and certain intracranial malignancies into the leptomeninges and cerebrospinal fluid. The clinical burden of LMD has been increasing secondary to more sensitive diagnostics, aggressive local therapies for discrete brain metastases, and improved management of extracranial disease with targeted and immunotherapeutic agents, resulting in improved survival. However, owing to drug delivery challenges and the unique microenvironment of LMD, novel therapies against systemic disease have not yet translated into improved outcomes for these patients. Underdiagnosis and misdiagnosis are common, response assessment remains challenging, and the prognosis associated with this disease of whole neuroaxis remains extremely poor. The dearth of effective therapies is further challenged by the difficulties in studying this dynamic disease state. In this Review, a multidisciplinary group of experts describe the emerging evidence and areas of active investigation in LMD and provide directed recommendations for future research. Drawing upon paradigm-changing advances in mechanistic science, computational approaches, and trial design, the authors discuss domain-specific and cross-disciplinary strategies for optimizing the clinical and translational research landscape for LMD. Advances in diagnostics, multi-agent intrathecal therapies, cell-based therapies, immunotherapies, proton craniospinal irradiation and ongoing clinical trials offer hope for improving outcomes for patients with LMD.

Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition

Immune checkpoint inhibition (ICI) has fundamentally changed cancer treatment. However, only a minority of patients with metastatic triple negative breast cancer (TNBC) benefit from ICI, and the determinants of response remain largely unknown. To better understand the factors influencing patient outcome, we assembled a longitudinal cohort with tissue from multiple timepoints, including primary tumor, pre-treatment metastatic tumor, and on-treatment metastatic tumor from 117 patients treated with ICI (nivolumab) in the phase II TONIC trial. We used highly multiplexed imaging to quantify the subcellular localization of 37 proteins in each tumor. To extract meaningful information from the imaging data, we developed SpaceCat, a computational pipeline that quantifies features from imaging data such as cell density, cell diversity, spatial structure, and functional marker expression. We applied SpaceCat to 678 images from 294 tumors, generating more than 800 distinct features per tumor. Spatial features were more predictive of patient outcome, including features like the degree of mixing between cancer and immune cells, the diversity of the neighboring immune cells surrounding cancer cells, and the degree of T cell infiltration at the tumor border. Non-spatial features, including the ratio between T cell subsets and cancer cells and PD-L1 levels on myeloid cells, were also associated with patient outcome. Surprisingly, we did not identify robust predictors of response in the primary tumors. In contrast, the metastatic tumors had numerous features which predicted response. Some of these features, such as the cellular diversity at the tumor border, were shared across timepoints, but many of the features, such as T cell infiltration at the tumor border, were predictive of response at only a single timepoint. We trained multivariate models on all of the features in the dataset, finding that we could accurately predict patient outcome from the pre-treatment metastatic tumors, with improved performance using the on-treatment tumors. We validated our findings in matched bulk RNA-seq data, finding the most informative features from the on-treatment samples. Our study highlights the importance of profiling sequential tumor biopsies to understand the evolution of the tumor microenvironment, elucidating the temporal and spatial dynamics underlying patient responses and underscoring the need for further research on the prognostic role of metastatic tissue and its utility in stratifying patients for ICI.

Personalized circulating tumor DNA dynamics predict survival and response to immune checkpoint blockade in recurrent/metastatic head and neck cancer

Background

Recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC) is an aggressive cancer with a median overall survival of only 12 months. Existing biomarkers have limited ability to predict treatment response or survival, exposing many patients to the potential toxicity of treatment without certain clinical benefit. Circulating tumor DNA (ctDNA) has emerged as a non-invasive, real-time biomarker that could address these challenges.

Methods

We analyzed 137 plasma samples from 16 patients with R/M HNSCC undergoing immune checkpoint blockade (ICB)-based therapy. A tumor-informed, highly sensitive next-generation sequencing liquid biopsy assay (RaDaR, NeoGenomics Laboratories, Inc.) was applied to track ctDNA changes at baseline and throughout treatment. Univariable and multivariable analyses were used to assess the association between ctDNA negativity and key clinical outcomes: disease control (best objective response of stable disease, partial response, or complete response), three-year overall survival (OS), and three-year progression-free survival (PFS). We also assessed a machine learning model to predict disease progression based on ctDNA dynamics.

Results

Multivariable analysis revealed that ctDNA negativity during treatment was significantly associated with improved disease control (OR 21.7, 95% CI 1.86-754.88, p=0.0317), three-year OS (HR 0.04, 95% CI 0.00-0.47, p=0.0103), and three-year PFS (HR 0.03, 95% CI 0.00-0.37, p=0.0057). The machine learning model predicted disease progression with 88% accuracy (AUC 0.89).

Conclusion

Serial ctDNA monitoring predicted disease control, survival, and progression in patients with R/M HNSCC receiving treatment with ICB, suggesting that incorporation of ctDNA into clinical practice could enhance treatment decision-making for clinicians and improve patient outcomes.

Comparative analysis of extracellular vesicles miRNAs (EV-miRNAs) and cell-free microRNAs (cf-miRNAs) reveals that EV-miRNAs are more promising as diagnostic and prognostic biomarkers for prostate cancer

MicroRNAs can be found intracellularly incorporated into extracellular vesicles (EV-miRNAs) or extracellularly as cell-free miRNAs (cf-miRNAs). This study aimed to compare the diagnostic and prognostic potential of four miRNAs with recognized roles in prostate cancer as cf-miRNAs and EV-miRNAs, obtained from liquid biopsies (LB). Total RNA was isolated from whole plasma and plasma EVs from 15 controls (CTR) and 30 patients (20 with localized prostate cancer (PCa), 10 with metastatic prostate cancer (mPCa)). The miRNAs were quantified by RT-qPCR and the relative expression of these miRNAs was compared between the three groups, and their associations with clinicopathological parameters were assessed. Receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic potential of the miRNAs in discriminating different groups. Overall, EV-miRNAs showed higher expression compared to cf-miRNAs. All EV-miRNAs analyzed showed diagnostic potential with an area under the curve (AUC) above 0.744. EV-miR-21-5p, EV-miR-375-3p, and EV-miR-1290-3p were overexpressed in PCa and mPCa compared to CTR, while EV-miR-200c-3p was overexpressed only in mPCa in comparison to CTR. Remarkably, EV-miR-375-3p and EV-miR-1290-3p could differentiate mPCa with ISUP ≥ 3, demonstrating their prognostic potential. In addition, EV-miR-1290-3p and EV-4-miR-panel detected patients with PSA > 10 ng/mL. Cf-miRNAs performed lower than EV-miRNAs, which can be explained by the greater stability and specificity of EV-miRNAs, making them superior to cf-miRNA. The results show that LB, a non-invasive strategy, is clinically feasible to identify EV-miRNAs as biomarkers for PCa and may provide additional information for assessing PCa risk stratification.

Interlesional response heterogeneity is associated with the prognosis of abiraterone treatment in metastatic castration-resistant prostate cancer

BACKGROUND

Interlesional response heterogeneity (ILRH) poses challenges to the treatment of metastatic castration-resistant prostate cancer (mCRPC). Currently, there are no prospective clinical trials exploring the prognostic significance of ILRH on paired positron emission tomography/computed tomography (PET/CT) in the context of abiraterone therapy.

METHODS

In this prospective study, we enrolled patients with mCRPC treated with abiraterone (ClinicalTrials.gov: NCT05188911; ChiCTR.org.cn: ChiCTR2000034708). 68Ga-prostate-specific membrane antigen (PSMA)+18F-fluorodeoxyglucose (FDG) PET/CT and circulating tumor DNA (ctDNA) monitoring were performed at baseline and week 13. Patients were grouped by their early ILRH measurement. The primary endpoint was to evaluate the predictive role of ILRH for conventional progression-free survival (PFS) through the concordance index (C-index) assessment. Conventional PFS was defined as the time from medication to conventional radiographic progression, clinical progression, or death.

FINDINGS

Ultimately, 33 patients were included with a median follow-up of 28.7 months. Baseline+week 13 PSMA PET/CT revealed that 33.3% of patients showed ILRH. Those patients with hetero-responding disease had significantly different PFS compared to the responding and non-responding groups (hazard ratio: responding group = reference, hetero-responding group = 4.0, non-responding group = 5.8; p < 0.0001). The C-index of ILRH on paired PSMA PET/CT (0.742 vs. 0.660) and FDG PET/CT (0.736 vs. 0.668) for conventional PFS was higher than that of PSA response. In an exploratory analysis, PSMA-/FDG+ lesions at week 13 were identified as a strong surrogate for poor conventional PFS (p = 0.039).

CONCLUSIONS

ILRH on both baseline+week 13 PSMA and FDG PET/CT strongly associated with conventional PFS.

FUNDING

This study was funded by the Ministry of Science and Technology of China and Shanghai.

Exploring Early Kinetic Profiles of CEA, ctDNA and cfDNA in Patients With RAS-/BRAF-Mutated Metastatic Colorectal Cancer

INTRODUCTION

Patients with metastatic colorectal cancer (mCRC) respond differently to first-line chemotherapy. Early identification of patients with limited or no clinical benefit could prompt a timelier introduction of second-line therapy and potentially lead to improved overall outcomes. Carcinoembryonic antigen (CEA) is currently the only blood-based marker in clinical use for disease control monitoring in mCRC. Circulating cell-free DNA (cfDNA), including circulating tumor DNA (ctDNA) could become a useful surrogate for oncological outcomes.

MATERIALS AND METHODS

Forty patients with RAS-/BRAF-mutated mCRC from the prospective NORDIC-VII trial (NCT00145314) were included. An exploratory model system was made to describe the early on-treatment kinetics of CEA, cfDNA and ctDNA during first-line oxaliplatin-based chemotherapy, and investigate the associations with radiological response, progression-free survival (PFS) and overall survival (OS).

RESULTS

Summary metrics were made, representing percentage change from treatment start to time-grid day 7 (P7), day 14 (P14), and day 49 (P49); slope from time-grid day 0 to 7 (S7), day 8 to 14 (S14), and day 15 to 49 (S49); and area under the curve from time-grid day 0 to 49 (AUC). Notably P49 and S49 for ctDNA and CEA were associated with radiological response and/or PFS. The early dynamics of the two markers differed substantially, with faster and more marked changes in ctDNA compared with CEA. Nine patients did not reach complete/near complete molecular ctDNA response close to first evaluation (∼week 8), a state associated with a short PFS (HR 2.72; 95% CI, 1.22-6.06; P = .01) and OS (HR 3.12; 95% CI, 1.35-7.23; P < .01). Contrary, twenty-two patients did not reach radiological response (i.e., complete or partial response) at first evaluation, but this was not associated with PFS (HR 1.21; 95% CI, 0.64-2.30; P = .55) nor OS (HR 1.37; 95% CI, 0.70-2.68; P = .37).

CONCLUSION

Early dynamics of ctDNA during first-line oxaliplatin-based chemotherapy hold prognostic value, supporting the idea of prospectively validating a ctDNA-RECIST framework in the early care pathway of mCRC patients.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00145314.

Plasma ctDNA as a Treatment Response Biomarker in Metastatic Cancers: Evaluation by the RECIST Working Group

Early indicators of metastatic cancer response to therapy are important for evaluating new drugs and stopping ineffective treatment. The RECIST guidelines based on repeat cancer imaging are widely adopted in clinical trials, are used to identify active regimens that may change practice, and contribute to regulatory approvals. However, these criteria do not provide insight before 6 to 12 weeks of treatment and typically require that patients have measurable disease. Recent data suggest that measuring on-treatment changes in the amount or proportion of ctDNA in peripheral blood plasma may accurately identify responding and nonresponding cancers at earlier time points. Over the past year, the RECIST working group has evaluated current evidence for plasma ctDNA kinetics as a treatment response biomarker in metastatic cancers and early endpoint in clinical trials to identify areas of focus for future research and validation. Here, we outline the requirement for large standardized trial datasets, greater scrutiny of optimal ctDNA collection time points and assay thresholds, and consideration of regulatory body guidelines and patient opinions. In particular, clinically meaningful changes in plasma ctDNA abundance are likely to differ by cancer type and therapy class and must be assessed before ctDNA can be considered a potential pan-cancer response evaluation biomarker. Despite the need for additional data, minimally invasive on-treatment ctDNA measurements hold promise to build upon existing response assessments such as RECIST and offer opportunities for developing novel early endpoints for modern clinical trials.

Modeling the management of patients with human epidermal growth factor receptor 2-positive breast cancer with liquid biopsy: the future of precision medicine

PURPOSE OF REVIEW

In the evolving landscape of human epidermal growth factor receptor 2 (HER2)-positive breast cancer (BC) management, liquid biopsy offers unprecedented opportunities for guiding clinical decisions. Here, we review the most recent findings on liquid biopsy applications in HER2-positive BC and its potential role in addressing challenges specific to this BC subtype.

RECENT FINDINGS

Recent studies have highlighted the significance of liquid biopsy analytes, primarily circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs), in stratifying patients' prognosis, predicting treatment response, and monitoring tumor evolution in both early and advanced stages of BC. Liquid biopsy holds promise in studying minimal residual disease to detect and potentially treat disease recurrence before it manifests clinically. Additionally, liquid biopsy may have significant implication in the management of brain metastasis, a major challenge in HER2-positive BC, and could redefine parameters for determining HER2 positivity. Combining ctDNA and CTCs is crucial for a comprehensive understanding of HER2-positive tumors, as they provide complementary insights.

SUMMARY

Research efforts are needed to address analytical challenges, validate, and broaden the application of liquid biopsy in HER2-positive BC. This effort will ultimately facilitate its integration into clinical practice, optimizing the care of patients with HER2-positive tumors.

Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine

Biopsy, including tissue and liquid biopsy, offers comprehensive and real-time physiological and pathological information for disease detection, diagnosis, and monitoring. Fluorescent probes are frequently selected to obtain adequate information on pathological processes in a rapid and minimally invasive manner based on their advantages for biopsy. However, conventional fluorescent probes have been found to show aggregation-caused quenching (ACQ) properties, impeding greater progresses in this area. Since the discovery of aggregation-induced emission luminogen (AIEgen) have promoted rapid advancements in molecular bionanomaterials owing to their unique properties, including high quantum yield (QY) and signal-to-noise ratio (SNR), etc. This review seeks to present the latest advances in AIEgen-based biofluorescent probes for biopsy in real or artificial samples, and also the key properties of these AIE probes. This review is divided into: (i) tissue biopsy based on smart AIEgens, (ii) blood sample biopsy based on smart AIEgens, (iii) urine sample biopsy based on smart AIEgens, (iv) saliva sample biopsy based on smart AIEgens, (v) biopsy of other liquid samples based on smart AIEgens, and (vi) perspectives and conclusion. This review could provide additional guidance to motivate interest and bolster more innovative ideas for further exploring the applications of various smart AIEgens in precision medicine.

Tumor therapeutics in the era of "RECIST": past, current insights, and future prospects

In recent years, advancements in medical treatment and imaging technologies have revolutionized the assessment of tumor response. However, the Response Evaluation Criteria in Solid Tumors (RECIST) has long been established as the gold standard for evaluating tumor treatment. As treatment modalities evolve, the need for continuous refinement and adaptation of RECIST becomes increasingly apparent. This review explores the historical evolution, current applications, limitations, and future directions of RECIST. It discusses the challenges of distinguishing true progression from pseudo-progression in ICIs (immune checkpoint inhibitors), the integration of advanced imaging tools, and the necessity for RECIST criteria tailored to specific therapies like neoadjuvant treatments. The review highlights the ongoing efforts to enhance RECIST's accuracy and reliability in clinical decision-making and the potential for developing new standards to better evaluate treatment efficacy in the rapidly evolving landscape of oncology.

Overview of the Role of Liquid Biopsy in Non-small Cell Lung Cancer (NSCLC)

Solid tumour tissue has traditionally been used for cancer molecular diagnostics. Recently, biomarker assessment in blood or liquid biopsies has become relevant because it allows genotyping in a less invasive and costly manner. In addition, it is a very useful technique in cases with insufficient tumour samples. Recent data have shown that this method can provide the baseline molecular characteristics of the tumour and resistance changes that emerge during cancer treatment. In terms of diagnostic application, the platforms available for clinical use in lung cancer focus on the isolation and detection of circulating DNA (ctDNA) and generally cover a limited number of mutations in genes such as epidermal growth factor receptor (EGFR), Kirsten rat sarcoma viral oncogene homolog (KRAS) and BRAF, as well as anaplastic lymphoma kinase (ALK) rearrangements. In parallel, there are plasma genotyping platforms based on next-generation sequencing (NGS) techniques, which are much broader in scope, allowing multiple genes to be studied simultaneously in a more efficient manner. More recently, promising research scenarios for liquid biopsy have emerged, such as its utility for early diagnosis and evaluation of minimal residual disease after oncological treatment. In light of these advances, knowledge of the benefits and limitations of liquid biopsy, as well as awareness of emerging information on new indications for this technique in non-small cell lung cancer (NSCLC), are of paramount importance in developing more effective management strategies for patients with this neoplasm.

Profound ctDNA and radiological responses after 2 cycles of avelumab in a metastatic Merkel cell carcinoma of the head and neck

BACKGROUND

Merkel cell carcinoma (MCC) is an uncommon skin cancer that in more than 90 % of cases develops within the head and neck region. MCC is an aggressive disease with a dismal prognosis before the advent of immunotherapy. Avelumab, an anti-PDL1 agent is approved since 2017 for the treatment of advanced MCC after demonstrating a high response rate and favorable impact in survival.

METHODS

Next generation sequencing (NGS) of the primary tumor biopsy from initial diagnosis (Foundation One CDx, Roche Diagnostics) as well as from plasma samples (Foundation One Liquid, Roche Diagnostics) obtained before and during treatment with avelumab were performed.

RESULTS

We present the case of a patient with a metastatic MCC developing in the left parotid gland / pre-auricular area in an 80-year-old male with a long-lasting history of high UV exposure. After two cycles of avelumab 10 mg/kg/q2wk a near complete metabolic response and a major radiological response occurred in parallel to a brisk reduction in the ctDNA tumor fraction as well as variant-allele frequencies (VAFs) of all the mutations detected before the start of avelumab.

CONCLUSION

Avelumab may achieve rapid and major responses in metastatic MCC. Our study demonstrates that ctDNA mirrors radiological responses and may serve as an ideal companion for diagnosis and disease monitoring in MCC.

Circulating Tumor DNA Assessment for Treatment Monitoring Adds Value to PSA in Metastatic Castration-Resistant Prostate Cancer

PURPOSE

Enzalutamide after abiraterone progression is commonly used in metastatic castration-resistant prostate cancer despite a low rate of clinical benefit. Analyzing IMbassador250, a phase III trial assessing enzalutamide with or without atezolizumab after abiraterone, we hypothesized that baseline and early changes in circulating tumor DNA (ctDNA) tumor fraction (TF) may identify patients more likely to exhibit survival benefit from enzalutamide.

EXPERIMENTAL DESIGN

ctDNA was quantified from plasma samples using a tissue-agnostic assay without buffy coat sequencing. Baseline ctDNA TF, changes in ctDNA TF from baseline to cycle 3 day 1 (C3D1), and detection at C3D1 alone were compared with overall response rate, radiographic progression-free survival (rPFS), median OS (mOS), and 50% reduction in PSA.

RESULTS

ctDNA TF detection at baseline and/or C3D1 was associated with shorter rPFS and OS in 494 evaluable patients. Detection of ctDNA TF at C3D1, with or without detection at cycle 1 day 1, was associated with worse rPFS and mOS than lack of detection. When ctDNA TF and PSA response at C3D1 were discordant, patients with (ctDNA TF undetected/PSA not reduced) had more favorable outcomes than (ctDNA TF detected/PSA reduced; mOS 22.1 vs. 16 months; P < 0.001).

CONCLUSIONS

In a large cohort of patients with metastatic castration-resistant prostate cancer receiving enzalutamide after abiraterone, we demonstrate the utility of a new tissue-agnostic assay for monitoring molecular response based on ctDNA TF detection and dynamics. ctDNA TF provides a minimally invasive, complementary biomarker to PSA testing and may refine personalized treatment approaches.

Extracellular Vesicles: Diagnostic and Therapeutic Applications in Cancer

In recent years, knowledge of cell-released extracellular vesicle (EV) functions has undergone rapid growth. EVs are membrane vesicles loaded with proteins, nucleic acids, lipids, and bioactive molecules. Once released into the extracellular space, EVs are delivered to target cells that may go through modifications in physiological or pathological conditions. EVs are nano shuttles with a crucial role in promoting short- and long-distance cell-cell communication. Comprehension of the mechanism that regulates this process is a benefit for both medicine and basic science. Currently, EVs attract immense interest in precision and nanomedicine for their potential use in diagnosis, prognosis, and therapies. This review reports the latest advances in EV studies, focusing on the nature and features of EVs and on conventional and emerging methodologies used for their separation, characterization, and visualization. By searching an extended portion of the relevant literature, this work aims to give a summary of advances in nanomedical applications of EVs. Moreover, concerns that require further studies before translation to clinical applications are discussed.

The evolving landscape of metastatic HER2-positive, hormone receptor-positive Breast Cancer

Therapeutic agents targeting Human Epidermal Growth Factor Receptor 2 (HER2) demonstrated to positively impact the prognosis of HER2-positive breast cancer. HER2-positive breast cancer can present either as hormone receptor-negative or positive, defining Triple-positive breast cancer (TPBC). TPBC demonstrate unique gene expression profiles, showing reduced HER2-driven gene expression, as recapitulated by a higher proportion of Luminal-type intrinsic subtypes. The different molecular landscape of TPBC dictates distinctive clinical features, including reduced chemotherapy sensitivity, different patterns of recurrence, and better overall prognosis. Cross-talk between HER2 and hormone receptor signaling seems to be critical to determine resistance to HER2-directed agents. Accordingly, superior outcomes have been achieved with the use of endocrine therapy, representing the first subtype-specific pharmacological intervention unique to this subgroup. Additional targeted agents capable to tackle resistance mechanisms to anti-HER2, hormone agents, or both might further improve the efficacy of treatments, such as PI3K/AKT/mTOR inhibitors, particularly in a biomarker-enriched setting, and CDK4/6-inhibitors, with preliminary data suggesting a role of PAM50 subtyping to predict higher benefits in luminal tumors. Finally, the distinct biology of triple-positive tumors may yield the rationale for considering combinations within antibody-drug conjugate regimens. Accordingly, in this review, we summarized the current evidence and rationale for considering TPBC as a different entity, in which distinct therapeutical approaches leveraging on the different biological profile of TPBC may result in superior anticancer regimens and improved patient-centric outcomes.

Unlocking the Potential: Biomarkers of Response to Antibody-Drug Conjugates

Antibody-drug conjugates (ADCs) have reshaped the cancer treatment landscape across a variety of different tumor types. ADCs' peculiar pharmacologic design combines the cytotoxic properties of chemotherapeutic agents with the selectivity of targeted therapies. At present, the approval of many ADCs used in clinical practice has not always been biomarker-driven. Indeed, predicting ADCs' activity and toxicity through the demonstration of specific biomarkers is still a great unmet need, and the identification of patients who can derive significant benefit from treatment with ADCs may often be uncertain. With the lack of robust predictive biomarkers to anticipate primary, intrinsic resistance to ADCs and no consolidated biomarkers to aid in the early identification of treatment resistance (ie, acquired resistance), the determination of precise biologic mechanisms of ADC activity and safety becomes priority in the quest for better patient-centric outcomes. Of great relevance, whether the target antigen expression is a determinant of ADCs' primary activity is still to be clarified, and available data remain quite controversial. Antigen expression assessment is typically performed on tissue biopsy, hence only providing information on a specific tumor site, therefore unable to capture heterogeneous patterns of tumor antigen expression. Quantifying the expression of the target antigen across all tumor sites would help better understand tumor heterogeneity, whereas molecularly characterizing tumor-intrinsic features over time might provide information on resistance mechanisms. In addition, toxicity can represent a critical concern, since most ADCs have a safety profile that resembles that of chemotherapies, with often unique adverse events requiring special management, possibly because of the differential in pharmacokinetics between the small-molecule agent versus payload of a similar class (eg, deruxtecan conjugate-related interstitial lung disease). As such, the identification of robust predictive biomarkers of safety and activity of ADCs has the potential to improve patient selection and enrich the population of patients most likely to derive a substantial clinical benefit, especially in those disease settings where different ADCs happen to be approved in competing clinical indications, with undefined biomarkers to make precise decision making and unclear data on how to sequence ADCs. At this point, the identification of clinically actionable biomarkers in the space of ADCs remains a top research priority.

Neoadjuvant and Adjuvant Immunotherapy in Resectable NSCLC

Non-small cell lung cancer, even when diagnosed in early stages, has been linked with poor survival rates and distant recurrence patterns. Novel therapeutic approaches harnessing the immune system have been implemented in early stages, following the designated steps of advanced NSCLC treatment strategies. Immune-checkpoint inhibitor (ICI) regimens as monotherapy, combinational, or alongside chemotherapy have been intensely investigated as adjuvant, neoadjuvant, and, more recently, perioperative therapeutic strategies, representing pivotal milestones in the evolution of early lung cancer management while holding great potential for the future. The subject of current ongoing research is optimizing treatment outcomes for patient subsets with different needs and identifying biomarkers that could be predictive of response while translating the trials' endpoints to survival rates. The aim of this review is to discuss all current treatment options with the pros and cons of each, persistent challenges, and future perspectives on immunotherapy as illuminating the path to a new era for resectable NSCLC.

Precision Endpoints for Contemporary Precision Oncology Trials

SUMMARY

Traditional endpoints such as progression-free survival and overall survival do not fully capture the pharmacologic and pharmacodynamic effects of a therapeutic intervention. Incorporating mechanism-driven biomarkers and validated surrogate proximal endpoints can provide orthogonal readouts of anti-tumor activity and delineate the relative contribution of treatment components on an individual level, highlighting the limitation of solely relying on aggregated readouts from clinical trials to facilitate go/no-go decisions for precision therapies.

Targeting KRAS in cancer

RAS family variants-most of which involve KRAS-are the most commonly occurring hotspot mutations in human cancers and are associated with a poor prognosis. For almost four decades, KRAS has been considered undruggable, in part due to its structure, which lacks small-molecule binding sites. But recent developments in bioengineering, organic chemistry and related fields have provided the infrastructure to make direct KRAS targeting possible. The first successes occurred with allele-specific targeting of KRAS p.Gly12Cys (G12C) in non-small cell lung cancer, resulting in regulatory approval of two agents-sotorasib and adagrasib. Inhibitors targeting other variants beyond G12C have shown preliminary antitumor activity in highly refractory malignancies such as pancreatic cancer. Herein, we outline RAS pathobiology with a focus on KRAS, illustrate therapeutic approaches across a variety of malignancies, including emphasis on the 'on' and 'off' switch allele-specific and 'pan' RAS inhibitors, and review immunotherapeutic and other key combination RAS targeting strategies. We summarize mechanistic understanding of de novo and acquired resistance, review combination approaches, emerging technologies and drug development paradigms and outline a blueprint for the future of KRAS therapeutics with anticipated profound clinical impact.

An Updated Review of Management of Resectable Stage III NSCLC in the Era of Neoadjuvant Immunotherapy

Immune-checkpoint inhibitors (ICIs) have an established role in the treatment of locally advanced and metastatic non-small cell lung cancer (NSCLC). ICIs have now entered the paradigm of early-stage NSCLC. The recent evidence shows that the addition of ICI to neoadjuvant chemotherapy improves the pathological complete response (pCR) rate and survival rate in early-stage resectable NSCLC and is now a standard of care option in this setting. In this regard, stage III NSCLC merits special consideration, as it is heterogenous and requires a multidisciplinary approach to management. As the neoadjuvant approach is being adopted widely, new challenges have emerged and the boundaries for resectability are being re-examined. Consequently, it is ever more important to carefully individualize the treatment strategy for each patient with resectable stage III NSCLC. In this review, we discuss the recent literature in this field with particular focus on evolving definitions of resectability, T4 disease, N2 disease (single and multi-station), and nodal downstaging. We also highlight the controversy around adjuvant treatment in this setting and discuss the selection of patients for adjuvant treatment, options of salvage, and next line treatment in cases of progression on/after neoadjuvant treatment or after R2 resection. We will conclude with a brief discussion of predictive biomarkers, predictive models, ongoing studies, and directions for future research in this space.