Liquid biopsy in the era of immuno-oncology: is it ready for prime-time use for cancer patients?

The emergence of immunotherapy in oncology requires the discovery, validation and subsequent adoption of robust, sensitive and specific predictive and prognostic biomarkers for daily practice. Until now, anti-PD-L1 immunohistochemistry (IHC) on tissue sections has been the only validated companion diagnostic test for first-line immunotherapy for advanced and metastatic cancer, notably non-small-cell lung cancer (NSCLC). However, detection of this biomarker presents limitations that have stimulated the development of other biomarkers and other approaches. Within this context, the use of a liquid biopsy (LB) could provide an important complementary or alternative added value to PD-L1 IHC. In this review, we discuss how LBs have been used in the field of immuno-oncology (I-O) to predict response, relapse or adverse advents for patients undergoing immune-checkpoint inhibitor (ICI) therapy (anti-PD-1/PD-L1 and CTLA-4) and we highlight recent developments. Circulating tumor cells (CTCs), cell-free DNA (cfDNA), proteins and cytokines detected in plasma as well as circulating T-lymphocytes are discussed as potential sources for developing new I-O biomarkers. The quantification of cfDNA as a predictive biomarker, as well as its sequencing for the determination of tumor mutational burden, is already well advanced. Additionally, the quantification of PD-L1 from CTCs, bound on exosomes or free in plasma, as well as the determination of cytokines, are also being actively investigated with promising results having recently been published. Lastly, analysis of T-lymphocytes, especially by analyzing the T-cell receptor, has recently emerged as a valuable biomarker that might become relevant for the prediction of response to ICIs. While LBs have not yet been implemented in routine I-O clinical practice, recent promising data and rapidly advancing technologies indicate that this approach has the potential to soon personalize the clinical management of cancer patients receiving ICIs.

ERRα promotes breast cancer cell dissemination to bone by increasing RANK expression in primary breast tumors.

Bone is the most common metastatic site for breast cancer. Estrogen-related-receptor alpha (ERRα) has been implicated in cancer cell invasiveness. Here, we established that ERRα promotes spontaneous metastatic dissemination of breast cancer cells from primary mammary tumors to the skeleton. We carried out cohort studies, pharmacological inhibition, gain-of-function analyses in vivo and cellular and molecular studies in vitro to identify new biomarkers in breast cancer metastases. Meta-analysis of human primary breast tumors revealed that high ERRα expression levels were associated with bone but not lung metastases. ERRα expression was also detected in circulating tumor cells from metastatic breast cancer patients. ERRα overexpression in murine 4T1 breast cancer cells promoted spontaneous bone micro-metastases formation when tumor cells were inoculated orthotopically, whereas lung metastases occurred irrespective of ERRα expression level. In vivo, Rank was identified as a target for ERRα. That was confirmed in vitro in Rankl stimulated tumor cell invasion, in mTOR/pS6K phosphorylation, by transactivation assay, ChIP and bioinformatics analyses. Moreover, pharmacological inhibition of ERRα reduced primary tumor growth, bone micro-metastases formation and Rank expression in vitro and in vivo. Transcriptomic studies and meta-analysis confirmed a positive association between metastases and ERRα/RANK in breast cancer patients and also revealed a positive correlation between ERRα and BRCA1mut carriers. Taken together, our results reveal a novel ERRα/RANK axis by which ERRα in primary breast cancer promotes early dissemination of cancer cells to bone. These findings suggest that ERRα may be a useful therapeutic target to prevent bone metastases.

Prognostic significance of PD-L1 expression on circulating tumor cells in patients with head and neck squamous cell carcinoma.

BACKGROUND: Successful application of programmed death 1 (PD1) checkpoint inhibitors in the clinic may ultimately benefit from appropriate patient selection based upon predictive biomarkers. Molecular characterization of circulating tumor cells (CTC) is crucial for the investigation of molecular-targeted therapies while predictive biomarkers for response to PD1 checkpoint inhibitors are lacking. We sought to assess whether overexpression of PD-L1 in CTCs could be detected at baseline and at different timepoints during treatment in a prospective cohort of head and neck squamous cell carcinoma (HNSCC) patients and used to predict clinical outcome after treatment with curative intent. PATIENTS AND METHODS: We developed a highly sensitive, specific and robust RT-qPCR assay for PD-L1 mRNA expression in EpCAM(+) CTCs. In a prospective cohort of 113 locally advanced HNSCC patients treated with curative intent we evaluated PD-L1 expression in the EpCAM(+) CTC fraction at baseline, after 2 cycles of induction chemotherapy (week 6) and at the end of concurrent chemoradiotherapy (week 15). RESULTS: PD-L1 overexpression was found in 24/94 (25.5%) patients at baseline, 8/34 (23.5%) after induction chemotherapy and 12/54 (22.2%) patients at the end of treatment. Patients with CTCs overexpressing PD-L1 at end of treatment had shorter progression-free survival (P = 0.001) and overall survival (P < 0.001). Multivariate analysis revealed that PD-L1 overexpression at end of treatment was independent prognostic factor for progression-free survival and overall survival. The absence of PD-L1 overexpression at the end of treatment was strongly associated with complete response with an odds ratio = 16.00 (95% CI = 2.76-92.72, P = 0.002). CONCLUSIONS: We demonstrate that detection of CTCs overexpressing PD-L1 is feasible and may provide important prognostic information in HNSCC. Our results suggest that adjuvant PD1 inhibitors deserve evaluation in HNSCC patients in whom PD-L1(+) CTCs are detected at the end of curative treatment.

[Circulating tumor cells: cornerstone of personalized medicine]. / Cellules tumorales circulantes : pierre angulaire de la médecine personnalisée.

Cancer treatment has evolved toward personalized medicine. It is mandatory for clinicians to ascertain tumor biological features in order to optimize patients' treatment. Identification and characterization of circulating tumor cells demonstrated a prognostic value in many solid tumors. Here, we describe the main technologies for identification and characterization of circulating tumor cells and their clinical application in gynecologic and breast cancers.