Clinical Significance of PD-L1 Status in Circulating Tumor Cells for Cancer Management during Immunotherapy

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.

Biomarkers for the detection of circulating tumor cells

Circulating tumor cells (CTCs) have emerged as a key biomarker in cancer detection and prognosis, and their molecular profiling is gaining importance in precision oncology. Liquid biopsies, which allow the extraction of CTCs, circulating tumor DNA (ctDNA) or cell-free DNA (cfDNA), have measurable advantages over traditional tissue biopsies, especially when molecular material is difficult to obtain. However, this method is not without limitations. Difficulties in differentiating between primary and metastatic lesions, uncertain predictive values and the complexity of the biomarkers used can prove challenging. Recently, high cell heterogeneity has been identified as the main obstacle to achieving high diagnostic accuracy. Because not all cells undergo epithelial-mesenchymal transition (EMT) at the same time, there is a large population of hybrid CTCs that express both epithelial and mesenchymal markers. Since traditional diagnostic tools primarily detect epithelial markers, they are often unable to detect cells with a hybrid phenotype; therefore, additional markers may be required to avoid false negatives. In this review, we summarize recent reports on emerging CTCs markers, with particular emphasis on their use in cancer diagnosis. Most of them, including vimentin, TWIST1, SNAI1, ZEB1, cadherins, CD44, TGM2, PD-L1 and GATA, hold promise for the detection of CTCs, but are also implicated in cancer progression, metastasis, and therapeutic resistance. Therefore, understanding the nature and drivers of epithelial-mesenchymal plasticity (EMP) is critical to advancing our knowledge in this field.

Mapping breast cancer therapy with circulating tumor cells: The expert perspective

Circulating tumor cells (CTCs) have emerged as a key prognostic biomarker for breast cancer, with their role becoming more pronounced in metastatic cases. In metastatic breast cancer, having five or more CTCs per 7.5 mL of blood is linked to poorer survival and more aggressive disease, marking it as stage IVaggressive. Conversely, fewer than five CTCs per 7.5 mL of blood indicates a less aggressive, stage IVindolent disease. Additionally, molecular CTCs characterization provides a real-time snapshot of tumor biology, capturing its temporal and spatial variability and providing insights into tumor behavior. Beyond their role in predicting outcomes, CTCs can help guide treatment intensity as shown in clinical trials like the STIC trial, offering a new way to tailor therapy alongside other liquid biopsy biomarkers such as circulating tumor DNA. The aim of our review is to focus on both enumeration and phenotyping of CTCs and examine how CTC-guided strategies can improve treatment tailoring and patient outcomes. We also explore the potential for integrating CTCs with other biomarkers, such as circulating tumor DNA, and discuss how innovative biomarker-driven clinical trial designs could further advance personalized treatment strategies.

Comprehensive Analysis of CXCR4, JUNB, and PD-L1 Expression in Circulating Tumor Cells (CTCs) from Prostate Cancer Patients

CXCR4, JUNB and PD-L1 are implicated in cancer progression and metastasis. The current study investigated these biomarkers in CTCs isolated from metastatic prostate cancer (mPCa) patients at the RNA and protein levels. CTCs were isolated from 48 mPCa patients using the Ficoll density gradient and ISET system (17 out of 48). The (CK/PD-L1/CD45) and (CK/CXCR4/JUNB) phenotypes were identified using two triple immunofluorescence stainings followed by VyCAP platform analysis. Molecular analysis was conducted with an EpCAM-dependent method for 25/48 patients. CK-8, CK-18, CK-19, JUNB, CXCR4, PD-L1, and B2M (reference gene) were analyzed with RT-qPCR. The (CK+/PD-L1+/CD45-) and the (CK+/CXCR4+/JUNB+) were the most frequent phenotypes (61.1% and 62.5%, respectively). Furthermore, the (CK+/CXCR4+/JUNB-) phenotype was correlated with poorer progression-free survival [(PFS), HR: 2.5, p = 0.049], while the (CK+/PD-L1+/CD45-) phenotype was linked to decreased overall survival [(OS), HR: 262.7, p = 0.007]. Molecular analysis revealed that 76.0% of the samples were positive for CK-8,18, and 19, while 28.0% were positive for JUNB, 44.0% for CXCR4, and 48.0% for PD-L1. Conclusively, CXCR4, JUNB, and PD-L1 were highly expressed in CTCs from mPCa patients. The CXCR4 protein expression was associated with poorer PFS, while PD-L1 was correlated with decreased OS, providing new biomarkers with potential clinical relevance.

Circulating biomarkers as predictors of response to immune checkpoint inhibitors in NSCLC: Are we on the right path?

Immune checkpoints inhibitors (ICIs) have markedly improved the therapeutic management of advanced NSCLC and, more recently, they have demonstrated efficacy also in the early-stage disease. Despite better survival outcomes with ICIs compared to standard chemotherapy, a large proportion of patients can derive limited clinical benefit from these agents. So far, few predictive biomarkers, including the programmed death-ligand 1 (PD-L1), have been introduced in clinical practice. Therefore, there is an urgent need to identify novel biomarkers to select patients for immunotherapy, to improve efficacy and avoid unnecessary toxicity. A deeper understanding of the mechanisms involved in antitumor immunity and advances in the field of liquid biopsy have led to the identification of a wide range of circulating biomarkers that could potentially predict response to immunotherapy. Herein, we provide an updated overview of these circulating biomarkers, focusing on emerging data from clinical studies and describing modern technologies used for their detection.