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Janssen FW, Lak NSM, Janda CY, Kester LA, Meister MT, Merks JHM, van den Heuvel-Eibrink MM, van Noesel MM, Zsiros J, Tytgat GAM, Looijenga LHJ. A comprehensive overview of liquid biopsy applications in pediatric solid tumors. NPJ Precis Oncol 2024; 8:172. [PMID: 39097671 PMCID: PMC11297996 DOI: 10.1038/s41698-024-00657-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 07/15/2024] [Indexed: 08/05/2024] Open
Abstract
Liquid biopsies are emerging as an alternative source for pediatric cancer biomarkers with potential applications during all stages of patient care, from diagnosis to long-term follow-up. While developments within this field are reported, these mainly focus on dedicated items such as a specific liquid biopsy matrix, analyte, and/or single tumor type. To the best of our knowledge, a comprehensive overview is lacking. Here, we review the current state of liquid biopsy research for the most common non-central nervous system pediatric solid tumors. These include neuroblastoma, renal tumors, germ cell tumors, osteosarcoma, Ewing sarcoma, rhabdomyosarcoma and other soft tissue sarcomas, and liver tumors. Within this selection, we discuss the most important or recent studies involving liquid biopsy-based biomarkers, anticipated clinical applications, and the current challenges for success. Furthermore, we provide an overview of liquid biopsy-based biomarker publication output for each tumor type based on a comprehensive literature search between 1989 and 2023. Per study identified, we list the relevant liquid biopsy-based biomarkers, matrices (e.g., peripheral blood, bone marrow, or cerebrospinal fluid), analytes (e.g., circulating cell-free and tumor DNA, microRNAs, and circulating tumor cells), methods (e.g., digital droplet PCR and next-generation sequencing), the involved pediatric patient cohort, and proposed applications. As such, we identified 344 unique publications. Taken together, while the liquid biopsy field in pediatric oncology is still behind adult oncology, potentially relevant publications have increased over the last decade. Importantly, steps towards clinical implementation are rapidly gaining ground, notably through validation of liquid biopsy-based biomarkers in pediatric clinical trials.
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Affiliation(s)
| | | | | | | | - Michael T Meister
- Princess Máxima Center, Utrecht, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Johannes H M Merks
- Princess Máxima Center, Utrecht, the Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Marry M van den Heuvel-Eibrink
- Princess Máxima Center, Utrecht, the Netherlands
- Wilhelmina Children's Hospital-Division of CHILDHEALTH, University Medical Center Utrech, University of Utrecht, Utrecht, the Netherlands
| | - Max M van Noesel
- Princess Máxima Center, Utrecht, the Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | | | - Godelieve A M Tytgat
- Princess Máxima Center, Utrecht, the Netherlands
- Department of Genetics, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Leendert H J Looijenga
- Princess Máxima Center, Utrecht, the Netherlands.
- Department of Pathology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
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Magrath JW, Goldberg IN, Truong DD, Hartono AB, Sampath SS, Jackson CE, Ghosh A, Cardin DL, Zhang H, Ludwig JA, Lee SB. Enzalutamide induces cytotoxicity in desmoplastic small round cell tumor independent of the androgen receptor. Commun Biol 2024; 7:411. [PMID: 38575753 PMCID: PMC10995187 DOI: 10.1038/s42003-024-06003-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024] Open
Abstract
Desmoplastic Small Round Cell Tumor (DSRCT) is a rare, pediatric cancer caused by the EWSR1::WT1 fusion protein. DSRCT predominantly occurs in males, which comprise 80-90% of the patient population. While the reason for this male predominance remains unknown, one hypothesis is that the androgen receptor (AR) plays a critical role in DSRCT and elevated testosterone levels in males help drive tumor growth. Here, we demonstrate that AR is highly expressed in DSRCT relative to other fusion-driven sarcomas and that the AR antagonists enzalutamide and flutamide reduce DSRCT growth. However, despite these findings, which suggest an important role for AR in DSRCT, we show that DSRCT cell lines form xenografts in female mice at the same rate as male mice and AR depletion does not significantly alter DSRCT growth in vitro. Further, we find that AR antagonists reduce DSRCT growth in cells depleted of AR, establishing an AR-independent mechanism of action. These findings suggest that AR dependence is not the reason for male predominance in DSRCT and that AR-targeted therapies may provide therapeutic benefit primarily through an AR-independent mechanism that requires further elucidation.
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Affiliation(s)
- Justin W Magrath
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Ilon N Goldberg
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Danh D Truong
- Sarcoma Medical Oncology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Alifiani B Hartono
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Shruthi Sanjitha Sampath
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Chandler E Jackson
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Anushka Ghosh
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Derrick L Cardin
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Haitao Zhang
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA
| | - Joseph A Ludwig
- Sarcoma Medical Oncology Department, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Sean B Lee
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA, USA.
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Li W, Hong T, Liu W, Dong S, Wang H, Tang ZR, Li W, Wang B, Hu Z, Liu Q, Qin Y, Yin C. Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma. Front Med (Lausanne) 2022; 9:807382. [PMID: 35433754 PMCID: PMC9011057 DOI: 10.3389/fmed.2022.807382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 03/07/2022] [Indexed: 12/11/2022] Open
Abstract
Background This study aimed to develop and validate machine learning (ML)-based prediction models for lung metastasis (LM) in patients with Ewing sarcoma (ES), and to deploy the best model as an open access web tool. Methods We retrospectively analyzed data from the Surveillance Epidemiology and End Results (SEER) Database from 2010 to 2016 and from four medical institutions to develop and validate predictive models for LM in patients with ES. Patient data from the SEER database was used as the training group (n = 929). Using demographic and clinicopathologic variables six ML-based models for predicting LM were developed, and internally validated using 10-fold cross validation. All ML-based models were subsequently externally validated using multiple data from four medical institutions (the validation group, n = 51). The predictive power of the models was evaluated by the area under receiver operating characteristic curve (AUC). The best-performing model was used to produce an online tool for use by clinicians to identify ES patients at risk from lung metastasis, to improve decision making and optimize individual treatment. Results The study cohort consisted of 929 patients from the SEER database and 51 patients from multiple medical centers, a total of 980 ES patients. Of these, 175 (18.8%) had lung metastasis. Multivariate logistic regression analysis was performed with survival time, T-stage, N-stage, surgery, and bone metastasis providing the independent predictive factors of LM. The AUC value of six predictive models ranged from 0.585 to 0.705. The Random Forest (RF) model (AUC = 0.705) using 4 variables was identified as the best predictive model of LM in ES patients and was employed to construct an online tool to assist clinicians in optimizing patient treatment. (https://share.streamlit.io/liuwencai123/es_lm/main/es_lm.py). Conclusions Machine learning were found to have utility for predicting LM in patients with Ewing sarcoma, and the RF model gave the best performance. The accessibility of the predictive model as a web-based tool offers clear opportunities for improving the personalized treatment of patients with ES.
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Affiliation(s)
- Wenle Li
- Department of Orthopedics, Xianyang Central Hospital, Xianyang, China
- Clinical Medical Research Center, Xianyang Central Hospital, Xianyang, China
| | - Tao Hong
- Department of Cardiac Surgery, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China
| | - Wencai Liu
- Department of Orthopaedic Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Shengtao Dong
- Department of Spine Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Haosheng Wang
- Department of Orthopaedics, The Second Hospital of Jilin University, Changchun, China
| | - Zhi-Ri Tang
- School of Physics and Technology, Wuhan University, Wuhan, China
| | - Wanying Li
- Clinical Medical Research Center, Xianyang Central Hospital, Xianyang, China
| | - Bing Wang
- Clinical Medical Research Center, Xianyang Central Hospital, Xianyang, China
| | - Zhaohui Hu
- Department of Spinal Surgery, Liuzhou People's Hospital, Liuzhou, China
| | - Qiang Liu
- Department of Orthopedics, Xianyang Central Hospital, Xianyang, China
- Qiang Liu
| | - Yong Qin
- Department of Orthopedics Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
- Yong Qin
| | - Chengliang Yin
- Faculty of Medicine, Macau University of Science and Technology, Macau, Macau SAR, China
- *Correspondence: Chengliang Yin
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Barrett C, Budhiraja A, Parashar V, Batish M. The Landscape of Regulatory Noncoding RNAs in Ewing's Sarcoma. Biomedicines 2021; 9:933. [PMID: 34440137 PMCID: PMC8391329 DOI: 10.3390/biomedicines9080933] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/21/2021] [Accepted: 07/27/2021] [Indexed: 02/07/2023] Open
Abstract
Ewing's sarcoma (ES) is a pediatric sarcoma caused by a chromosomal translocation. Unlike in most cancers, the genomes of ES patients are very stable. The translocation product of the EWS-FLI1 fusion is most often the predominant genetic driver of oncogenesis, and it is pertinent to explore the role of epigenetic alterations in the onset and progression of ES. Several types of noncoding RNAs, primarily microRNAs and long noncoding RNAs, are key epigenetic regulators that have been shown to play critical roles in various cancers. The functions of these epigenetic regulators are just beginning to be appreciated in ES. Here, we performed a comprehensive literature review to identify these noncoding RNAs. We identified clinically relevant tumor suppressor microRNAs, tumor promoter microRNAs and long noncoding RNAs. We then explored the known interplay between different classes of noncoding RNAs and described the currently unmet need for expanding the noncoding RNA repertoire of ES. We concluded the review with a discussion of epigenetic regulation of ES via regulatory noncoding RNAs. These noncoding RNAs provide new avenues of exploration to develop better therapeutics and identify novel biomarkers.
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Affiliation(s)
| | | | | | - Mona Batish
- Department of Medical and Molecular Sciences, University of Delaware, Newark, DE 19716, USA; (C.B.); (A.B.); (V.P.)
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