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Scaini MC, Catoni C, Poggiana C, Pigozzo J, Piccin L, Leone K, Scarabello I, Facchinetti A, Menin C, Elefanti L, Pellegrini S, Aleotti V, Vidotto R, Schiavi F, Fabozzi A, Chiarion-Sileni V, Rosato A. A multiparameter liquid biopsy approach allows to track melanoma dynamics and identify early treatment resistance. NPJ Precis Oncol 2024; 8:78. [PMID: 38548846 PMCID: PMC10978909 DOI: 10.1038/s41698-024-00567-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/14/2024] [Indexed: 04/01/2024] Open
Abstract
Melanoma heterogeneity is a hurdle in metastatic disease management. Although the advent of targeted therapy has significantly improved patient outcomes, the occurrence of resistance makes monitoring of the tumor genetic landscape mandatory. Liquid biopsy could represent an important biomarker for the real-time tracing of disease evolution. Thus, we aimed to correlate liquid biopsy dynamics with treatment response and progression by devising a multiplatform approach applied to longitudinal melanoma patient monitoring. We conceived an approach that exploits Next Generation Sequencing (NGS) and droplet digital PCR, as well as the FDA-cleared platform CellSearch, to analyze circulating tumor DNA (ctDNA) trend and circulating melanoma cell (CMC) count, together with their customized genetic and copy number variation analysis. The approach was applied to 17 stage IV melanoma patients treated with BRAF/MEK inhibitors, followed for up to 28 months. BRAF mutations were detected in the plasma of 82% of patients. Single nucleotide variants known or suspected to confer resistance were identified in 70% of patients. Moreover, the amount of ctDNA, both at baseline and during response, correlated with the type and duration of the response itself, and the CMC count was confirmed to be a prognostic biomarker. This work provides proof of principle of the power of this approach and paves the way for a validation study aimed at evaluating early ctDNA-guided treatment decisions in stage IV melanoma. The NGS-based molecular profile complemented the analysis of ctDNA trend and, together with CMC analysis, revealed to be useful in capturing tumor evolution.
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Affiliation(s)
- Maria Chiara Scaini
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
| | - Cristina Catoni
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Cristina Poggiana
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy.
| | - Jacopo Pigozzo
- Medical Oncology 2, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Luisa Piccin
- Medical Oncology 2, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Kevin Leone
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Ilaria Scarabello
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Antonella Facchinetti
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
- Department of Surgery, Oncology and Gastroenterology (DiSCOG), Oncology Section, University of Padua, Padua, Italy
| | - Chiara Menin
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Lisa Elefanti
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Stefania Pellegrini
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Valentina Aleotti
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Riccardo Vidotto
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Francesca Schiavi
- Familial Cancer Clinic, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | - Alessio Fabozzi
- Oncology Unit 3, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
| | | | - Antonio Rosato
- Immunology and Molecular Oncology Unit, Veneto Institute of Oncology - IOV IRCCS, Padua, Italy
- Department of Surgery, Oncology and Gastroenterology (DiSCOG), Oncology Section, University of Padua, Padua, Italy
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2
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Cell-free plasma microRNAs that identify patients with glioblastoma. J Transl Med 2022; 102:711-721. [PMID: 35013528 DOI: 10.1038/s41374-021-00720-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/01/2021] [Accepted: 12/12/2021] [Indexed: 01/10/2023] Open
Abstract
Glioblastoma (GBM) is still one of the most commonly diagnosed advanced stage primary brain tumors. Current treatments for patients with primary GBM (pGBM) are often not effective and a significant proportion of the patients with pGBM recur. The effective treatment options for recurrent GBM (rGBM) are limited and survival outcomes are poor. This retrospective multicenter pilot study aims to determine potential cell-free microRNAs (cfmiRs) that identify patients with pGBM and rGBM tumors. 2,083 miRs were assessed using the HTG miRNA whole transcriptome assay (WTA). CfmiRs detection was compared in pre-operative plasma samples from patients with pGBM (n = 32) and rGBM (n = 13) to control plasma samples from normal healthy donors (n = 73). 265 cfmiRs were found differentially expressed in plasma samples from pGBM patients compared to normal healthy donors (FDR < 0.05). Of those 193 miRs were also detected in pGBM tumor tissues (n = 15). Additionally, we found 179 cfmiRs differentially expressed in rGBM, of which 68 cfmiRs were commonly differentially expressed in pGBM. Using Random Forest algorithm, specific cfmiR classifiers were found in the plasma of pGBM, rGBM, and both pGBM and rGBM combined. Two common cfmiR classifiers, miR-3180-3p and miR-5739, were found in all the comparisons. In receiving operating characteristic (ROC) curves analysis for rGBM miR-3180-3p showed a specificity of 87.7% and a sensitivity of 100% (AUC = 98.5%); while miR-5739 had a specificity of 79.5% and sensitivity of 92.3% (AUC = 90.2%). This study demonstrated that plasma samples from pGBM and rGBM patients have specific miR signatures. CfmiR-3180-3p and cfmiR-5739 have potential utility in diagnosing patients with pGBM and rGBM tumors using a minimally invasive blood assay.
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Promising Blood-Based Biomarkers for Melanoma: Recent Progress of Liquid Biopsy and Its Future Perspectives. Curr Treat Options Oncol 2022; 23:562-577. [PMID: 35298769 DOI: 10.1007/s11864-022-00948-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2021] [Indexed: 12/11/2022]
Abstract
OPINION STATEMENT Because the recent success of novel therapeutic approaches has dramatically changed the clinical management of melanoma, less invasive and repeatable monitoring tools that can predict the disease status, drug resistance, and the development of side effects are increasingly needed. As liquid biopsy has enabled us to diagnose and monitor disease status less invasively, substantial attention has been directed toward this technique, which is gaining importance as a diagnostic and/or prognostic tool. It is evident that microRNA, cell-free DNA, and circulating tumor cells obtained via liquid biopsy are promising diagnostic and prognostic tools for melanoma, and they also have utility for monitoring the disease status and predicting drug effects. Although current challenges exist for each biomarker, such as poor sensitivity and/or specificity and technical problems, recent technical advances have increasingly improved these aspects. For example, next-generation sequencing technology for detecting microRNAs or cell-free DNA enabled high-throughput analysis and provided significantly higher sensitivity. In particular, cancer personalized profiling by deep sequencing for quantifying cell-free DNA is a promising method for high-throughput analysis that provides real-time comprehensive data for patients at various disease stages. For wide clinical implementation, it is necessary to increase the sensitivity for the markers and standardize the assay procedures to make them reproducible, valid, and inexpensive; however, the broad clinical application of liquid biopsy could occur quickly. This review focuses on the significance of liquid biopsy, particularly related to the use of blood samples from patients with melanoma, and discusses its future perspectives.
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Otoo JA, Schlappi TS. REASSURED Multiplex Diagnostics: A Critical Review and Forecast. BIOSENSORS 2022; 12:bios12020124. [PMID: 35200384 PMCID: PMC8869588 DOI: 10.3390/bios12020124] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/05/2022] [Accepted: 02/11/2022] [Indexed: 05/05/2023]
Abstract
The diagnosis of infectious diseases is ineffective when the diagnostic test does not meet one or more of the necessary standards of affordability, accessibility, and accuracy. The World Health Organization further clarifies these standards with a set of criteria that has the acronym ASSURED (Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free and Deliverable to end-users). The advancement of the digital age has led to a revision of the ASSURED criteria to REASSURED: Real-time connectivity, Ease of specimen collection, Affordable, Sensitive, Specific, User-friendly, Rapid and robust, Equipment-free or simple, and Deliverable to end-users. Many diagnostic tests have been developed that aim to satisfy the REASSURED criteria; however, most of them only detect a single target. With the progression of syndromic infections, coinfections and the current antimicrobial resistance challenges, the need for multiplexed diagnostics is now more important than ever. This review summarizes current diagnostic technologies for multiplexed detection and forecasts which methods have promise for detecting multiple targets and meeting all REASSURED criteria.
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Recent Developments of Circulating Tumor Cell Analysis for Monitoring Cutaneous Melanoma Patients. Cancers (Basel) 2022; 14:cancers14040859. [PMID: 35205608 PMCID: PMC8870206 DOI: 10.3390/cancers14040859] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/04/2022] [Accepted: 02/06/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Circulating tumor cells (CTCs) originating from cutaneous melanoma patients have been studied for several decades as surrogates for real-time clinical status and disease outcomes. Here, we will review clinical studies from the last 15 years that assessed CTCs and disease outcomes for melanoma patients. Assessment of multiple molecular melanoma-associated antigen (MAA) markers by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was the most common assay allowing for the improvement of assay sensitivity, to address tumor heterogeneity, and to predict patient outcomes. Multicenter studies demonstrate the utility of CTC assays reducing the bias observed in single-center trials. Recent development of CTC enrichment platforms has provided reproducible methods. CTC assessment enables both multiple mRNAs and DNAs genomic profiling. CTC provides specific important translational information on tumor progression, prediction of treatment response, and survival outcomes for cutaneous melanoma patients. Abstract Circulating tumor cells (CTCs) have been studied using multiple technical approaches for interrogating various cancers, as they allow for the real-time assessment of tumor progression, disease recurrence, treatment response, and tumor molecular profiling without the need for a tumor tissue biopsy. Here, we will review studies from the last 15 years on the assessment of CTCs in cutaneous melanoma patients in relation to different clinical outcomes. The focus will be on CTC detection in blood samples obtained from cutaneous melanoma patients of different clinical stages and treatments utilizing multiple platforms. Assessment of multiple molecular melanoma-associated antigen (MAA) markers by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) was the most common assay allowing for the improvement of assay sensitivity, tumor heterogeneity, and to predict patient outcomes. Multicenter studies demonstrate the utility of CTC assays reducing the bias observed in single- center trials. The recent development of CTC enrichment platforms has provided reproducible methods. CTC assessment enables both multiple mRNAs and DNAs genomic aberration profiling. CTC provides specific important translational information on tumor progression, prediction of treatment response, and survival outcomes for cutaneous melanoma patients. The molecular studies on melanoma CTCs have provided and may set standards for other solid tumor CTC analyses.
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Tran KD, Gross R, Rahimzadeh N, Chenathukattil S, Hoon DSB, Bustos MA. Assessment of Cell-Free microRNA by NGS Whole-Transcriptome Analysis in Cutaneous Melanoma Patients' Blood. Methods Mol Biol 2021; 2265:475-486. [PMID: 33704735 DOI: 10.1007/978-1-0716-1205-7_34] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
MicroRNAs (miRs) are small RNA molecules (18-22 nucleotides) that regulate the transcriptome at a post-transcriptional level by affecting the expression of specific genes. This regulatory mechanism is critical to maintain cell homeostasis and specific functions. Aberrant expression of miRs have been associated with pathobiological processes including cancer. There are few technologies available that are able to profile whole-genome miR expression using minimal amounts of blood samples and without the need for time-consuming extraction steps. Here, we describe the HTG EdgeSeq miR Whole-Transcriptome Assay (WTA) in serum and plasma samples. To identify specific cell-free miR (cfmiR) patterns we have first focused on the analysis of normal donor samples and have then compared these to patients with cutaneous melanoma. The identification of specific cfmiR for melanoma patients will allow for better patient surveillance during targeted and/or checkpoint inhibitor immunotherapy (CII) treatment.
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Affiliation(s)
- Kevin D Tran
- Department of Genomic Sequencing Center, John Wayne Cancer Institute (JWCI) at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Rebecca Gross
- Department of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Negin Rahimzadeh
- Department of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Shanthy Chenathukattil
- Department of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Dave S B Hoon
- Department of Genomic Sequencing Center, John Wayne Cancer Institute (JWCI) at Providence Saint John's Health Center, Santa Monica, CA, USA
- Department of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Matias A Bustos
- Department of Translational Molecular Medicine, JWCI at Providence Saint John's Health Center, Santa Monica, CA, USA.
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Koçana CÇ, Toprak SF, Sözer S. Extracellular genetic materials and their application in clinical practice. Cancer Genet 2020; 252-253:48-63. [PMID: 33387935 DOI: 10.1016/j.cancergen.2020.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 11/12/2020] [Accepted: 12/20/2020] [Indexed: 11/20/2022]
Abstract
This study reviews the possible origins, functional roles, and diagnostic applications of 'extracellular genetic material' (EGM), a novel term introduced to cover DNA, RNA, and DNA/RNA-related molecules released from all types of cells into the extracellular region. The literature on EGMs shows them to play a dual role in diverse, fine-tuning mechanisms involved in both homeostasis and pathological events, including cancerogenesis and genometastasis. Recent developments in the next-generation technology have provided successful applications of low quantities of genomic materials into the diagnostic field, yielding high sensitivity and specificity in test results. Also, the successful application of EGMs into diagnostics has afforded promising outcomes for researchers and clinicians. This study of EGM provides a deeper understanding of the subject as an area of interest, especially cell-free DNA, aiming toward the eventual development of new therapeutic applications and diagnostic strategies.
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Affiliation(s)
- Cemal Çağıl Koçana
- Department of Genetic, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Selin Fulya Toprak
- Department of Genetic, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
| | - Selçuk Sözer
- Department of Genetic, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
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8
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Bustos MA, Gross R, Rahimzadeh N, Cole H, Tran LT, Tran KD, Takeshima L, Stern SL, O’Day S, Hoon DSB. A Pilot Study Comparing the Efficacy of Lactate Dehydrogenase Levels Versus Circulating Cell-Free microRNAs in Monitoring Responses to Checkpoint Inhibitor Immunotherapy in Metastatic Melanoma Patients. Cancers (Basel) 2020; 12:cancers12113361. [PMID: 33202891 PMCID: PMC7696545 DOI: 10.3390/cancers12113361] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/09/2020] [Indexed: 12/18/2022] Open
Abstract
Simple Summary Improvement in melanoma patients with metastatic disease is needed to better assess immunotherapies. Lactate dehydrogenase (LDH) is currently an accepted biomarker for stage IV, but it has limited utility for stage III melanoma patients. Thus, finding biomarkers for metastatic melanoma is important not only to identify progressive melanoma tumors, but also to monitor patients under checkpoint inhibitor immunotherapy (CII). The aim of this pilot study was to demonstrate the utility of circulating cell-free microRNAs (cfmiRs) as potential blood biomarkers for stage III and IV melanoma patients compared to LDH. To accomplish this aim, we profiled for cfmiR the plasma of metastatic melanoma patients before and during CII treatment, and compared them to normal healthy donors’ samples. The cfmiR profiling was performed using an NGS-based miRNA assay, which requires no extraction and a small volume input. We found specific cfmiR signatures in stage III and IV metastatic melanoma patients. As a proof of concept, our results showed that certain cfmiRs are associated with CII outcomes. Abstract Serum lactate dehydrogenase (LDH) is a standard prognostic biomarker for stage IV melanoma patients. Often, LDH levels do not provide real-time information about the metastatic melanoma patients’ disease status and treatment response. Therefore, there is a need to find reliable blood biomarkers for improved monitoring of metastatic melanoma patients who are undergoing checkpoint inhibitor immunotherapy (CII). The objective in this prospective pilot study was to discover circulating cell-free microRNA (cfmiR) signatures in the plasma that could assess melanoma patients’ responses during CII. The cfmiRs were evaluated by the next-generation sequencing (NGS) HTG EdgeSeq microRNA (miR) Whole Transcriptome Assay (WTA; 2083 miRs) in 158 plasma samples obtained before and during the course of CII from 47 AJCC stage III/IV melanoma patients’ and 73 normal donors’ plasma samples. Initially, cfmiR profiles for pre- and post-treatment plasma samples of stage IV non-responder melanoma patients were compared to normal donors’ plasma samples. Using machine learning, we identified a 9 cfmiR signature that was associated with stage IV melanoma patients being non-responsive to CII. These cfmiRs were compared in pre- and post-treatment plasma samples from stage IV melanoma patients that showed good responses. Circulating miR-4649-3p, miR-615-3p, and miR-1234-3p demonstrated potential prognostic utility in assessing CII responses. Compared to LDH levels during CII, circulating miR-615-3p levels were consistently more efficient in detecting melanoma patients undergoing CII who developed progressive disease. By combining stage III/IV patients, 92 and 17 differentially expressed cfmiRs were identified in pre-treatment plasma samples from responder and non-responder patients, respectively. In conclusion, this pilot study demonstrated cfmiRs that identified treatment responses and could allow for real-time monitoring of patients receiving CII.
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Affiliation(s)
- Matias A. Bustos
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI), Providence Saint John’s Health Center (SJHC), Santa Monica, CA 90404, USA; (R.G.); (N.R.); (L.T.); (D.S.B.H.)
- Correspondence:
| | - Rebecca Gross
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI), Providence Saint John’s Health Center (SJHC), Santa Monica, CA 90404, USA; (R.G.); (N.R.); (L.T.); (D.S.B.H.)
| | - Negin Rahimzadeh
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI), Providence Saint John’s Health Center (SJHC), Santa Monica, CA 90404, USA; (R.G.); (N.R.); (L.T.); (D.S.B.H.)
| | - Hunter Cole
- Department of Immuno-Oncology and Clinical Research, JWCI, Providence SJHC, Santa Monica, CA 90404, USA; (H.C.); O' (S.O.)
| | - Linh T. Tran
- Department of Genomic Sequencing Center, JWCI, Providence SJHC, Santa Monica, CA 90404, USA; (L.T.T.); (K.D.T.)
| | - Kevin D. Tran
- Department of Genomic Sequencing Center, JWCI, Providence SJHC, Santa Monica, CA 90404, USA; (L.T.T.); (K.D.T.)
| | - Ling Takeshima
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI), Providence Saint John’s Health Center (SJHC), Santa Monica, CA 90404, USA; (R.G.); (N.R.); (L.T.); (D.S.B.H.)
| | - Stacey L. Stern
- Department of Biostatistics, JWCI, Providence SJHC, Santa Monica, CA 90404, USA;
| | - Steven O’Day
- Department of Immuno-Oncology and Clinical Research, JWCI, Providence SJHC, Santa Monica, CA 90404, USA; (H.C.); O' (S.O.)
| | - Dave S. B. Hoon
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI), Providence Saint John’s Health Center (SJHC), Santa Monica, CA 90404, USA; (R.G.); (N.R.); (L.T.); (D.S.B.H.)
- Department of Genomic Sequencing Center, JWCI, Providence SJHC, Santa Monica, CA 90404, USA; (L.T.T.); (K.D.T.)
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Bustos MA, Tran KD, Rahimzadeh N, Gross R, Lin SY, Shoji Y, Murakami T, Boley CL, Tran LT, Cole H, Kelly DF, O’Day S, Hoon DSB. Integrated Assessment of Circulating Cell-Free MicroRNA Signatures in Plasma of Patients with Melanoma Brain Metastasis. Cancers (Basel) 2020; 12:E1692. [PMID: 32630542 PMCID: PMC7352246 DOI: 10.3390/cancers12061692] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/23/2020] [Accepted: 06/23/2020] [Indexed: 12/11/2022] Open
Abstract
Primary cutaneous melanoma frequently metastasizes to distant organs including the brain. Identification of cell-free microRNAs (cfmiRs) found in the blood can be used as potential body fluid biomarkers for detecting and monitoring patients with melanoma brain metastasis (MBM). In this pilot study, we initially aimed to identify cfmiRs in the blood of MBM patients. Normal donors plasma (healthy, n = 48) and pre-operative MBM patients' plasma samples (n = 36) were compared for differences in >2000 microRNAs (miRs) using a next generation sequencing (NGS) probe-based assay. A 74 cfmiR signature was identified in an initial cohort of MBM plasma samples and then verified in a second cohort of MBM plasma samples (n = 24). Of these, only 58 cfmiRs were also detected in MBM tissues (n = 24). CfmiR signatures were also found in patients who have lung and breast cancer brain metastasis (n = 13) and glioblastomas (n = 36) compared to MBM plasma samples. The 74 cfmiR signature and the latter cfmiR signatures were then compared. We found a 6 cfmiR signature that was commonly upregulated in MBM plasma samples in all of the comparisons, and a 29 cfmiR signature that distinguishes MBM patients from normal donors' samples. In addition, we assessed for cfmiRs in plasma (n = 20) and urine (n = 14) samples collected from metastatic melanoma patients receiving checkpoint inhibitor immunotherapy (CII). Pre- and post-treatment samples showed consistent changes in cfmiRs. Analysis of pre- and post-treatment plasma samples showed 8 differentially expressed (DE) cfmiRs that overlapped with the 35 cfmiR signature found in MBM patients. In paired pre-treatment plasma and urine samples receiving CII 8 cfmiRs overlapped. This study identified specific cfmiRs in MBM plasma samples that may potentially allow for assessment of melanoma patients developing MBM. The cfmiR signatures identified in both blood and urine may have potential utility to assess CII responses after further validation.
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Affiliation(s)
- Matias A. Bustos
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Kevin D. Tran
- Department of Genomic Sequencing Center, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (K.D.T.); (L.T.T.)
| | - Negin Rahimzadeh
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Rebecca Gross
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Selena Y. Lin
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Yoshiaki Shoji
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Tomohiro Murakami
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
| | - Christine L. Boley
- Department of Immuno-Oncology and Clinical Research, John Wayne Cancer Institute, Santa Monica, CA 90404, USA; (C.L.B.); (H.C.); O’
| | - Linh T. Tran
- Department of Genomic Sequencing Center, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (K.D.T.); (L.T.T.)
| | - Hunter Cole
- Department of Immuno-Oncology and Clinical Research, John Wayne Cancer Institute, Santa Monica, CA 90404, USA; (C.L.B.); (H.C.); O’
| | - Daniel F. Kelly
- Pacific Neuroscience Institute, John Wayne Cancer Institute, Saint John’s Health Center, Santa Monica, CA 90404, USA;
| | - Steven O’Day
- Department of Immuno-Oncology and Clinical Research, John Wayne Cancer Institute, Santa Monica, CA 90404, USA; (C.L.B.); (H.C.); O’
| | - Dave S. B. Hoon
- Department of Translational Molecular Medicine, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (M.A.B.); (N.R.); (R.G.); (S.Y.L.); (Y.S.); (T.M.)
- Department of Genomic Sequencing Center, John Wayne Cancer Institute at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (K.D.T.); (L.T.T.)
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Wang X, Bustos MA, Zhang X, Ramos RI, Tan C, Iida Y, Chang SC, Salomon MP, Tran K, Gentry R, Kravtsova-Ivantsiv Y, Kelly DF, Mills GB, Ciechanover A, Mao Y, Hoon DS. Downregulation of the Ubiquitin-E3 Ligase RNF123 Promotes Upregulation of the NF-κB1 Target SerpinE1 in Aggressive Glioblastoma Tumors. Cancers (Basel) 2020; 12:E1081. [PMID: 32349217 PMCID: PMC7281601 DOI: 10.3390/cancers12051081] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/22/2020] [Accepted: 04/25/2020] [Indexed: 12/28/2022] Open
Abstract
This study examined the role of the ubiquitin E3-ligase RNF123 in modulating downstream NF-κB1 targets in glioblastoma (GB) tumor progression. Our findings revealed an oncogenic pathway (miR-155-5p-RNF123-NF-κB1-p50-SerpinE1) that may represent a new therapeutic target pathway for GB patients with isocitrate dehydrogenase 1 and 2 (IDH) WT (wild type). Mechanistically, we demonstrated that RNF123 is downregulated in IDH WT GB patients and leads to the reduction of p50 levels. RNA-sequencing, reverse-phase protein arrays, and in vitro functional assays on IDH WT GB cell lines with RNF123 overexpression showed that SerpinE1 was a downstream target that is negatively regulated by RNF123. SERPINE1 knockdown reduced the proliferation and invasion of IDH WT GB cell lines. Both SerpinE1 and miR-155-5p overexpression negatively modulated RNF123 expression. In clinical translational analysis, RNF123, SerpinE1, and miR-155-5p were all associated with poor outcomes in GB patients. Multivariable analysis in IDH WT GB patients showed that concurrent low RNF123 and high SerpinE1 was an independent prognostic factor in predicting poor overall survival (p < 0.001, hazard ratio (HR) = 2.93, 95% confidence interval (CI) 1.7-5.05), and an increased risk of recurrence (p < 0.001, relative risk (RR) = 3.56, 95% CI 1.61-7.83).
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Affiliation(s)
- Xiaowen Wang
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Matias A. Bustos
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Xiaoqing Zhang
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Romela Irene Ramos
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Cong Tan
- Department of Pathology, Cancer Hospital, Fudan University, Shanghai 200032, China;
| | - Yuuki Iida
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Shu-Ching Chang
- Medical Data Research Center, Providence Saint Joseph’s Health, Portland, OR 97225, USA;
| | - Matthew P. Salomon
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Kevin Tran
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Rebecca Gentry
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
| | - Yelena Kravtsova-Ivantsiv
- The David and Janet Polak Cancer and Vascular Biology Research Center, The Rappaport Faculty of Medicine and Research Institute, Technion-Israel Institute of Technology, Efron Street, Bat-Galim, Haifa 31096, Israel; (Y.K.-I.); (A.C.)
| | - Daniel F. Kelly
- Pacific Neuroscience Institute, JWCI, Santa Monica, CA 90404, USA;
| | - Gordon B. Mills
- Department of Cell Development and Cancer Biology, Knight Cancer Institute, Portland, OR 97239, USA;
| | - Aaron Ciechanover
- The David and Janet Polak Cancer and Vascular Biology Research Center, The Rappaport Faculty of Medicine and Research Institute, Technion-Israel Institute of Technology, Efron Street, Bat-Galim, Haifa 31096, Israel; (Y.K.-I.); (A.C.)
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
- The Collaborative Innovation Center for Brain Science, Fudan University, Shanghai 200032, China
| | - Dave S.B. Hoon
- Department of Translational Molecular Medicine, John Wayne Cancer Institute (JWCI) at Providence Saint John’s Health Center, Santa Monica, CA 90404, USA; (X.W.); (M.A.B.); (X.Z.); (R.I.R.); (Y.I.); (M.P.S.); (K.T.); (R.G.); (Y.M.)
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11
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Zeng J, Johnson A, Shufean MA, Kahle M, Yang D, Woodman SE, Vu T, Moorthy S, Holla V, Meric-Bernstam F. Operationalization of Next-Generation Sequencing and Decision Support for Precision Oncology. JCO Clin Cancer Inform 2019; 3:1-12. [PMID: 31550176 PMCID: PMC6874004 DOI: 10.1200/cci.19.00089] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2019] [Indexed: 12/18/2022] Open
Abstract
Genomic testing has become a part of routine oncology care and plays critical roles in diagnosis, prognostic assessment, and treatment selection. Thus, in parallel, the variety of genomic testing providers and sequencing platforms has grown exponentially. Selection of the best-fit panel for each case can be daunting, with many factors to consider. Among them is whether alteration interpretation and therapy/clinical trial matching are included and/or sufficient. In this article, we review some common commercially available sequencing platforms for the genes and types of alterations tested, samples needed, and reporting content provided. We review publicly available resources for a do-it-yourself approach to alteration interpretation when it is not provided or when supplemental research is needed, along with resources to identify genomically matched treatment options that are approved and/or investigational. However, with both commercially provided interpretation and publicly available resources, there are still caveats and limitations that can stem from insufficient or ambiguous nomenclature as well as from the presentation of information. Use cases in which clinical decision making was affected are discussed. After treatment options are identified, it is important to assess the level of evidence for use within the patient's tumor type and molecular profile. However, numerous level-of-evidence scales have been published in recent years, so we provide a publicly available tool to facilitate interoperability. The level of evidence, along with other factors, such as allelic frequency and copy number, can be used to prioritize treatment options when multiple are identified.
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Affiliation(s)
- Jia Zeng
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amber Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Md Abu Shufean
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Kahle
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dong Yang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Thuy Vu
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shhyam Moorthy
- The University of Texas MD Anderson Cancer Center, Houston, TX
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12
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Lin SY, Orozco JIJ, Hoon DSB. Detection of Minimal Residual Disease and Its Clinical Applications in Melanoma and Breast Cancer Patients. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1100:83-95. [PMID: 30411261 DOI: 10.1007/978-3-319-97746-1_5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Melanoma and breast cancer (BC) patients face a high risk of recurrence and disease progression after curative surgery and/or therapeutic treatment. Monitoring for minimal residual disease (MRD) during a disease-free follow-up period would greatly improve patient outcomes through earlier detection of relapse or treatment resistance. However, MRD monitoring in solid tumors such as melanoma and BC are not well established. Here, we discuss the clinical applications of MRD monitoring in melanoma and BC patients and highlight the current approaches for detecting MRD in these solid tumors.
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Affiliation(s)
- Selena Y Lin
- Department of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Javier I J Orozco
- Department of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA, USA
| | - Dave S B Hoon
- Department of Translational Molecular Medicine, John Wayne Cancer Institute, Santa Monica, CA, USA.
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