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Anderson CJ, Yang H, Parsons J, Ahrens WA, Jagosky MH, Hsu JH, Patt JC, Kneisl JS, Steuerwald NM. Can a Liquid Biopsy Detect Circulating Tumor DNA With Low-passage Whole-genome Sequencing in Patients With a Sarcoma? A Pilot Evaluation. Clin Orthop Relat Res 2024:00003086-990000000-01651. [PMID: 38905450 DOI: 10.1097/corr.0000000000003161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/30/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND A liquid biopsy is a test that evaluates the status of a disease by analyzing a sample of bodily fluid, most commonly blood. In recent years, there has been progress in the development and clinical application of liquid biopsy methods to identify blood-based, tumor-specific biomarkers for many cancer types. However, the implementation of these technologies to aid in the treatment of patients who have a sarcoma remains behind other fields of cancer medicine. For this study, we chose to evaluate a sarcoma liquid biopsy based on circulating tumor DNA (ctDNA). All human beings have normal cell-free DNA (cfDNA) circulating in the blood. In contrast with cfDNA, ctDNA is genetic material present in the blood stream that is derived from a tumor. ctDNA carries the unique genomic fingerprint of the tumor with changes that are not present in normal circulating cfDNA. A successful ctDNA liquid biopsy must be able to target these tumor-specific genetic alterations. For instance, epidermal growth factor receptor (EGFR) mutations are common in lung cancers, and ctDNA liquid biopsies are currently in clinical use to evaluate the status of disease in patients who have a lung cancer by detecting EGFR mutations in the blood. As opposed to many carcinomas, sarcomas do not have common recurrent mutations that could serve as the foundation to a ctDNA liquid biopsy. However, many sarcomas have structural changes to their chromosomes, including gains and losses of portions or entire chromosomes, known as copy number alterations (CNAs), that could serve as a target for a ctDNA liquid biopsy. Murine double minute 2 (MDM2) amplification in select lipomatous tumors or parosteal osteosarcoma is an example of a CNA due to the presence of extra copies of a segment of the long arm of chromosome 12. Since a majority of sarcomas demonstrate a complex karyotype with numerous CNAs, a blood-based liquid biopsy strategy that searches for these CNAs may be able to detect the presence of sarcoma ctDNA. Whole-genome sequencing (WGS) is a next-generation sequencing technique that evaluates the entire genome. The depth of coverage of WGS refers to how detailed the sequencing is, like higher versus lower power on a microscope. WGS can be performed with high-depth sequencing (that is, > 60×), which can detect individual point mutations, or low-depth sequencing (that is, 0.1× to 5×), referred to as low-passage whole-genome sequencing (LP-WGS), which may not detect individual mutations but can detect structural chromosomal changes including gains and losses (that is, CNAs). While similar strategies have shown favorable early results for specific sarcoma subtypes, LP-WGS has not been evaluated for applicability to the broader population of patients who have a sarcoma. QUESTIONS/PURPOSES Does an LP-WGS liquid biopsy evaluating for CNAs detect ctDNA in plasma samples from patients who have sarcomas representing a variety of histologic subtypes? METHODS This was a retrospective study conducted at a community-based, tertiary referral center. Nine paired (plasma and formalin-fixed paraffin-embedded [FFPE] tissue) and four unpaired (plasma) specimens from patients who had a sarcoma were obtained from a commercial biospecimen bank. Three control specimens from individuals who did not have cancer were also obtained. The paired and unpaired specimens from patients who had a sarcoma represented a variety of sarcoma histologic subtypes. cfDNA was extracted, amplified, and quantified. Libraries were prepared, and LP-WGS was performed using a NextSeq 500 next-generation sequencing machine at a low depth of sequencing coverage (∼1×). The ichorCNA bioinformatics algorithm, which was designed to detect CNAs from low-depth genomic sequencing data, was used to analyze the data. In contrast with the gold standard for diagnosis in the form of histopathologic analysis of a tissue sample, this test does not discriminate between sarcoma subtypes but detects the presence of tumor-derived CNAs within the ctDNA in the blood that should not be present in a patient who does not have cancer. The liquid biopsy was positive for the detection of cancer if the ichorCNA algorithm detected the presence of ctDNA. The algorithm was also used to quantitatively estimate the percent ctDNA within the cfDNA. The concentration of ctDNA was then calculated from the percent ctDNA relative to the total concentration of cfDNA. The CNAs of the paired FFPE tissue and plasma samples were graphically visualized using aCNViewer software. RESULTS This LP-WGS liquid biopsy detected ctDNA in 9 of 13 of the plasma specimens from patients with a sarcoma. The other four samples from patients with a sarcoma and all serum specimens from patients without cancer had no detectable ctDNA. Of those 9 patients with positive liquid biopsy results, the percent ctDNA ranged from 6% to 11%, and calculated ctDNA quantities were 0.04 to 5.6 ng/mL, which are levels to be expected when ctDNA is detectable. CONCLUSION In this small pilot study, we were able to detect sarcoma ctDNA with an LP-WGS liquid biopsy searching for CNAs in the plasma of most patients who had a sarcoma representing a variety of histologic subtypes. CLINICAL RELEVANCE These results suggest that an LP-WGS liquid biopsy evaluating for CNAs to identify ctDNA may be more broadly applicable to the population of patients who have a sarcoma than previously reported in studies focusing on specific subtypes. Large prospective clinical trials that gather samples at multiple time points during the process of diagnosis, treatment, and surveillance will be needed to further assess whether this technique can be clinically useful. At our institution, we are in the process of developing a large prospective clinical trial for this purpose.
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Affiliation(s)
- Colin J Anderson
- Musculoskeletal Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - HsihTe Yang
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Judy Parsons
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Will A Ahrens
- Carolina Pathology Group, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Megan H Jagosky
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Johann H Hsu
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Joshua C Patt
- Musculoskeletal Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Jeffrey S Kneisl
- Musculoskeletal Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
| | - Nury M Steuerwald
- Levine Cancer Institute, Atrium Health Wake Forest Baptist, Charlotte, NC, USA
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Tan Z, Li H, Huang Y, Fu S, Wang H, Wang J. Multi-omics landscape analysis reveals the pan-cancer association of arginine biosynthesis genes with tumor immune evasion and therapy resistance. Heliyon 2024; 10:e26804. [PMID: 38468956 PMCID: PMC10925990 DOI: 10.1016/j.heliyon.2024.e26804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/23/2024] [Accepted: 02/20/2024] [Indexed: 03/13/2024] Open
Abstract
Background The metabolism of arginine, a conditionally essential amino acid, plays a crucial role in cancer progression and prognosis. However, a more detailed understanding of the influence of arginine biosynthesis genes in cancer is currently unavailable. Methods We performed an integrative multi-omics analysis using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to determine the characteristics of these genes across multiple cancer types. To measure the overall activity of arginine biosynthesis genes in cancer, we calculated arginine biosynthesis scores based on gene expression. Results Our results indicated that the arginine biosynthesis score was negatively correlated with immune-related pathways, immune infiltration, immune checkpoint expression, and patient prognosis, and single-cell data further clarified that patients with high arginine biosynthesis scores showed a reduced proportion of T and B cells in an immune desert tumor microenvironment and were insensitive to immunotherapy. We also identified several potential drugs through the Cancer Therapeutic Response Portal (CTRP) and Genomics of Drug Sensitivity in Cancer (GDSC) databases that could target arginine biosynthesis genes and potentially improve the response rate to immunotherapy in patients with a high arginine biosynthesis fraction. Conclusion Overall, our analyses emphasize that arginine biosynthesis genes are associated with immune evasion in several cancers. Targeting these genes may facilitate more effective immunotherapy.
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Affiliation(s)
- Zhiyong Tan
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
| | - Haihao Li
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
| | - Yinglong Huang
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
| | - Shi Fu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
| | - Haifeng Wang
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
| | - Jiansong Wang
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Urological disease clinical medical center of Yunnan province, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming, 650101, Yunnan, China
- Scientific and Technological Innovation Team of Basic and Clinical Research of Bladder Cancer in Yunnan Universities, The Second Affiliated Hospital of Kunming Medical University, No. 347, Dianmian Street, Wuhua District, Kunming 650101, Yunnan, China
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Bronkhorst AJ, Holdenrieder S. The changing face of circulating tumor DNA (ctDNA) profiling: Factors that shape the landscape of methodologies, technologies, and commercialization. MED GENET-BERLIN 2023; 35:201-235. [PMID: 38835739 PMCID: PMC11006350 DOI: 10.1515/medgen-2023-2065] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Liquid biopsies, in particular the profiling of circulating tumor DNA (ctDNA), have long held promise as transformative tools in cancer precision medicine. Despite a prolonged incubation phase, ctDNA profiling has recently experienced a strong wave of development and innovation, indicating its imminent integration into the cancer management toolbox. Various advancements in mutation-based ctDNA analysis methodologies and technologies have greatly improved sensitivity and specificity of ctDNA assays, such as optimized preanalytics, size-based pre-enrichment strategies, targeted sequencing, enhanced library preparation methods, sequencing error suppression, integrated bioinformatics and machine learning. Moreover, research breakthroughs have expanded the scope of ctDNA analysis beyond hotspot mutational profiling of plasma-derived apoptotic, mono-nucleosomal ctDNA fragments. This broader perspective considers alternative genetic features of cancer, genome-wide characterization, classical and newly discovered epigenetic modifications, structural variations, diverse cellular and mechanistic ctDNA origins, and alternative biospecimen types. These developments have maximized the utility of ctDNA, facilitating landmark research, clinical trials, and the commercialization of ctDNA assays, technologies, and products. Consequently, ctDNA tests are increasingly recognized as an important part of patient guidance and are being implemented in clinical practice. Although reimbursement for ctDNA tests by healthcare providers still lags behind, it is gaining greater acceptance. In this work, we provide a comprehensive exploration of the extensive landscape of ctDNA profiling methodologies, considering the multitude of factors that influence its development and evolution. By illuminating the broader aspects of ctDNA profiling, the aim is to provide multiple entry points for understanding and navigating the vast and rapidly evolving landscape of ctDNA methodologies, applications, and technologies.
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Affiliation(s)
- Abel J Bronkhorst
- Technical University Munich Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Lazarettstr. 36 80636 Munich Germany
| | - Stefan Holdenrieder
- Technical University Munich Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Lazarettstr. 36 80636 Munich Germany
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4
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Allsopp RC, Page K, Ambasager B, Wadsley MK, Acheampong E, Ntereke TP, Guo Q, Lall GM, Gleason KLT, Wren E, Nteliopoulos G, Rushton AJ, Coombes RC, Shaw JA. A Rapid, Shallow Whole Genome Sequencing Workflow Applicable to Limiting Amounts of Cell-Free DNA. Clin Chem 2023; 69:510-518. [PMID: 36747279 DOI: 10.1093/clinchem/hvac220] [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: 07/05/2022] [Accepted: 12/02/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Somatic copy number alterations (sCNAs) acquired during the evolution of breast cancer provide valuable prognostic and therapeutic information. Here we present a workflow for screening sCNAs using picogram amounts of cell-free DNA (cfDNA) and single circulating tumor cells (CTCs). METHODS We repurposed the Ion ReproSeq PGS™ preimplantation genetic testing kit to perform shallow whole genome sequencing on 178 cfDNA samples (300 pg) and individual CTCs from 10 MBC patients with metastatic breast cancer (MBC) recovered by CellSearch®/DEPArray™. Results were analyzed using a tailored ichorCNA workflow. RESULTS sCNAs were detected in cfDNA of 41/105 (39%) patients with MBC and 3/23 (13%) primary breast cancers on follow-up (PBC FU), all of whom subsequently relapsed. In 8 of 10 MBCs, individual CTCs had a higher copy number count than matched cfDNA. The median tumor fraction detected by ichorCNA was 0.34 (range 0.17-0.58) for MBC and 0.36 (range 0.31-0.37) for PBC FU. Patients with detectable tumor fraction (≥ 0.1) and TFx and OncomineTM variants had significantly lower overall survival rates (P values P = 0.002 and P < 0.0001 for the log-rank test, respectively). CONCLUSIONS The ReproSeq PGS assay is rapid, at approximately $120 per sample, providing both a sCNA profile and estimation of the tumor DNA fraction from limiting cfDNA template (300pg) and individual CTCs. The approach could be used to examine the copy number landscape over time to guide treatment decisions, support future trial designs, and be applied to low volume blood spot samples enabling remote monitoring.
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Affiliation(s)
- Rebecca C Allsopp
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Karen Page
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Bana Ambasager
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - Marc K Wadsley
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Emmanuel Acheampong
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Tumisang P Ntereke
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Qi Guo
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Gurdeep Matharu Lall
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
| | - Kelly L T Gleason
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - Evie Wren
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - Georgios Nteliopoulos
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - Amelia J Rushton
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - R Charles Coombes
- Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London, UK
| | - Jacqueline A Shaw
- Leicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK
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Choy LYL, Peng W, Jiang P, Cheng SH, Yu SCY, Shang H, Tse OYO, Wong J, Wong VWS, Wong GLH, Lam WKJ, Chan SL, Chiu RWK, Chan KCA, Lo YMD. Single-molecule Sequencing Enables Long Cell-free DNA Detection and Direct Methylation Analysis for Cancer Patients. Clin Chem 2022; 68:1151-1163. [PMID: 35587130 DOI: 10.1093/clinchem/hvac086] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Analysis of circulating tumor DNA has become increasingly important as a tool for cancer care. However, the focus of previous studies has been on short fragments of DNA. Also, bisulfite sequencing, a conventional approach for methylation analysis, causes DNA degradation, which is not ideal for the assessment of long DNA properties and methylation patterns. This study attempted to overcome such obstacles by single-molecule sequencing. METHODS Single-molecule real-time (SMRT) sequencing was used to sequence plasma DNA. We performed fragment size and direct methylation analysis for each molecule. A methylation score concerning single-molecule methylation patterns was used for cancer detection. RESULTS A substantial proportion of plasma DNA was longer than 1 kb with a median of 16% in hepatocellular carcinoma (HCC) patients, hepatitis B virus carriers and healthy individuals. The longest plasma DNA molecule in the HCC patients was 39.8 kb. Tumoral cell-free DNA (cfDNA) was generally shorter than nontumoral cfDNA. The longest tumoral cfDNA was 13.6 kb. Tumoral cfDNA had lower methylation levels compared with nontumoral cfDNA (median: 59.3% versus 76.9%). We developed and analyzed a metric reflecting single-molecule methylation patterns associated with cancer, named the HCC methylation score. HCC patients displayed significantly higher HCC methylation scores than those without HCC. Interestingly, compared to using short cfDNA (Area-Under-the-Curve, AUC: 0.75), the use of long cfDNA molecules greatly enhanced the discriminatory power (AUC: 0.91). CONCLUSIONS A previously unidentified long cfDNA population was revealed in cancer patients. The presence and direct methylation analysis of these molecules open new possibilities for cancer liquid biopsy.
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Affiliation(s)
- L Y Lois Choy
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Wenlei Peng
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Peiyong Jiang
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Suk Hang Cheng
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Stephanie C Y Yu
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Huimin Shang
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - O Y Olivia Tse
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - John Wong
- Department of Surgery, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Vincent Wai-Sun Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Grace L H Wong
- Medical Data Analytics Centre (MDAC), Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - W K Jacky Lam
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Stephen L Chan
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Department of Clinical Oncology, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Rossa W K Chiu
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - K C Allen Chan
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Y M Dennis Lo
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China.,State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
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Tan ES, Knepper TC, Wang X, Permuth JB, Wang L, Fleming JB, Xie H. Copy Number Alterations as Novel Biomarkers and Therapeutic Targets in Colorectal Cancer. Cancers (Basel) 2022; 14:2223. [PMID: 35565354 PMCID: PMC9101426 DOI: 10.3390/cancers14092223] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 04/21/2022] [Accepted: 04/24/2022] [Indexed: 12/10/2022] Open
Abstract
In colorectal cancer, somatic mutations have played an important role as prognostic and predictive biomarkers, with some also functioning as therapeutic targets. Another genetic aberration that has shown significance in colorectal cancer is copy number alterations (CNAs). CNAs occur when a change to the DNA structure propagates gain/amplification or loss/deletion in sections of DNA, which can often lead to changes in protein expression. Multiple techniques have been developed to detect CNAs, including comparative genomic hybridization with microarray, low pass whole genome sequencing, and digital droplet PCR. In this review, we summarize key findings in the literature regarding the role of CNAs in the pathogenesis of colorectal cancer, from adenoma to carcinoma to distant metastasis, and discuss the roles of CNAs as prognostic and predictive biomarkers in colorectal cancer.
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Affiliation(s)
- Elaine S. Tan
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA; (E.S.T.); (J.B.P.); (J.B.F.)
| | - Todd C. Knepper
- Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA;
| | - Xuefeng Wang
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA;
| | - Jennifer B. Permuth
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA; (E.S.T.); (J.B.P.); (J.B.F.)
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, 12901 USF Magnolia Drive Tampa, Tampa, FL 33612, USA;
| | - Jason B. Fleming
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA; (E.S.T.); (J.B.P.); (J.B.F.)
| | - Hao Xie
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 USF Magnolia Drive Tampa, Tampa, FL 33612, USA; (E.S.T.); (J.B.P.); (J.B.F.)
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Alese OB, Cook N, Ortega-Franco A, Ulanja MB, Tan L, Tie J. Circulating Tumor DNA: An Emerging Tool in Gastrointestinal Cancers. Am Soc Clin Oncol Educ Book 2022; 42:1-20. [PMID: 35471832 DOI: 10.1200/edbk_349143] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Circulating tumor DNA (ctDNA) is tumor-derived fragmented DNA in the bloodstream that has come from primary or metastatic cancer sites. Neoplasm-specific genetic and epigenetic abnormalities are increasingly being identified through liquid biopsy: a novel, minimally invasive technique used to isolate and analyze ctDNA in the peripheral circulation. Liquid biopsy and other emerging ctDNA technologies represent a paradigm shift in cancer diagnostics because they allow for the detection of minimal residual disease in patients with early-stage disease, improve risk stratification, capture tumor heterogeneity and genomic evolution, and enhance ctDNA-guided adjuvant and palliative cancer therapy. Moreover, ctDNA can be used to monitor the tumor response to neoadjuvant and postoperative therapy in patients with metastatic disease. Using clearance of ctDNA as an endpoint for escalation/de-escalation of adjuvant chemotherapy for patients considered to have high-risk disease has become an important area of research. The possibility of using ctDNA as a surrogate for treatment response-including for overall survival, progression-free survival, and disease-free survival-is an attractive concept; this surrogate will arguably reduce study duration and expedite the development of new therapies. In this review, we summarize the current evidence on the applications of ctDNA for the diagnosis and management of gastrointestinal tumors. Gastrointestinal cancers-including tumors of the esophagus, stomach, colon, liver, and pancreas-account for one-quarter of global cancer diagnoses and contribute to more than one-third of cancer-related deaths. Given the prevalence of gastrointestinal malignancies, ctDNA technology represents a powerful tool to reduce the global burden of disease.
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Affiliation(s)
- Olatunji B Alese
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
| | - Natalie Cook
- Experimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, United Kingdom.,Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom
| | - Ana Ortega-Franco
- Experimental Cancer Medicine Team, The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Mark B Ulanja
- Christus Ochsner St. Patrick Hospital, Lake Charles, LA
| | - Lavinia Tan
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Jeanne Tie
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.,Division of Personalized Oncology, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia
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8
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Genetic and Molecular Characterization Revealed the Prognosis Efficiency of Histone Acetylation in Pan-Digestive Cancers. JOURNAL OF ONCOLOGY 2022; 2022:3938652. [PMID: 35422864 PMCID: PMC9005301 DOI: 10.1155/2022/3938652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/02/2022] [Accepted: 03/14/2022] [Indexed: 11/18/2022]
Abstract
The imbalance between acetylation and deacetylation of histone proteins, important for epigenetic modifications, is closely associated with various diseases, including cancer. However, knowledge regarding the modification of histones across the different types of digestive cancers is still lacking. The purpose of this research was to analyze the role of histone acetylation and deacetylation in pan-digestive cancers. We systematically characterized the molecular alterations and clinical relevance of 13 histone acetyltransferase (HAT) and 18 histone deacetylase (HDAC) genes in five types of digestive cancers, including esophageal carcinoma, gastric cancer, hepatocellular carcinoma, pancreatic cancer, and colorectal cancer. Recurrent mutations and copy number variation (CNV) were extensively found in acetylation-associated genes across pan-digestive cancers. HDAC9 and KAT6A showed widespread copy number amplification across five pan-digestive cancers, while ESCO2, EP300, and HDAC10 had prevalent copy number deletions. Accordingly, we found that HAT and HDAC genes correlated with multiple cancer hallmark-related pathways, especially the histone modification-related pathway, PRC2 complex pathway. Furthermore, the expression pattern of HAT and HDAC genes stratified patients with clinical benefit in hepatocellular carcinoma and pancreatic cancer. These results indicated that acetylation acts as a key molecular regulation of pan-digestive tumor progression.
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9
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Lu M, Li J, Fan X, Xie F, Fan J, Xiong Y. Novel Immune-Related Ferroptosis Signature in Esophageal Cancer: An Informatics Exploration of Biological Processes Related to the TMEM161B-AS1/hsa-miR-27a-3p/GCH1 Regulatory Network. Front Genet 2022; 13:829384. [PMID: 35281840 PMCID: PMC8908453 DOI: 10.3389/fgene.2022.829384] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 01/20/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Considering the role of immunity and ferroptosis in the invasion, proliferation and treatment of cancer, it is of interest to construct a model of prognostic-related differential expressed immune-related ferroptosis genes (PR-DE-IRFeGs), and explore the ferroptosis-related biological processes in esophageal cancer (ESCA).Methods: Four ESCA datasets were used to identify three PR-DE-IRFeGs for constructing the prognostic model. Validation of our model was based on analyses of internal and external data sets, and comparisons with past models. With the biological-based enrichment analysis as a guide, exploration for ESCA-related biological processes was undertaken with respect to the immune microenvironment, mutations, competing endogenous RNAs (ceRNA), and copy number variation (CNV). The model’s clinical applicability was measured by nomogram and correlation analysis between risk score and gene expression, and also immune-based and chemotherapeutic sensitivity.Results: Three PR-DE-IRFeGs (DDIT3, SLC2A3, and GCH1), risk factors for prognosis of ESCA patients, were the basis for constructing the prognostic model. Validation of our model shows a meaningful capability for prognosis prediction. Furthermore, many biological functions and pathways related to immunity and ferroptosis were enriched in the high-risk group, and the role of the TMEM161B-AS1/hsa-miR-27a-3p/GCH1 network in ESCA is supported. Also, the KMT2D mutation is associated with our risk score and SLC2A3 expression. Overall, the prognostic model was associated with treatment sensitivity and levels of gene expression.Conclusion: A novel, prognostic model was shown to have high predictive value. Biological processes related to immune functions, KMT2D mutation, CNV and the TMEM161B-AS1/hsa-miR-27a-3p/GCH1 network were involved in ESCA progression.
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Affiliation(s)
- Min Lu
- Department of Emergency, Shangrao People’s Hospital, Shangrao Hospital Affiliated to Nanchang University, Shangrao, China
| | - Jiaqi Li
- School of Stomatology, Nanchang University, Nanchang, China
| | - Xin Fan
- School of Stomatology, Nanchang University, Nanchang, China
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Xin Fan,
| | - Fei Xie
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jie Fan
- Shangrao Municipal Hospital, Shangrao, China
| | - Yuanping Xiong
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
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10
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System Analysis of ROS-Related Genes in the Prognosis, Immune Infiltration, and Drug Sensitivity in Hepatocellular Carcinoma. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:6485871. [PMID: 34795841 PMCID: PMC8593590 DOI: 10.1155/2021/6485871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 12/24/2022]
Abstract
Hepatocellular carcinoma (HCC) is an aggressive malignant tumor with a poor prognosis. Reactive oxygen species (ROS) play an important role in tumors; however, the role of ROS-related genes is still unclear in HCC. Therefore, we analyzed the role of ROS-related genes in HCC via bioinformatics methods. Firstly, a prognosis model was constructed using LASSO Cox regression and multivariate analyses. We also investigated the potential function of the ROS-related genes and the correlation with immune infiltration, tumor stemness, and drug sensitivity. ICGC database was used for validation. Secondly, we further analyzed the role of 11 ROS-related genes in HCC. As a member of ROS gene family, the role of STK25 has remained unclear in HCC. We explored the biological function of STK25 using in vitro experiments. The present study was the first to construct a ROS-related prognostic model in HCC. The correlation of ROS-related genes with immune infiltration, tumor stemness, and drug sensitivity was dissected. Furthermore, we demonstrated that STK25 knockdown could increase the proliferation, migration, and invasion capacity of HCC cells.
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11
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Guan B, Liang Y, Lu H, Xu Z, Shi Y, Li J, Kong W, Tian C, Tan Y, Gong Y, Liu J, Fang D, Shen Q, He S, Shakeel M, Zhang Z, He Q, Li X, Ci W, Zhou L. Copy Number Signatures and Clinical Outcomes in Upper Tract Urothelial Carcinoma. Front Cell Dev Biol 2021; 9:713499. [PMID: 34513842 PMCID: PMC8427613 DOI: 10.3389/fcell.2021.713499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 08/02/2021] [Indexed: 11/15/2022] Open
Abstract
Tumor staging of upper tract urothelial carcinomas (UTUCs) is relatively difficult to assert accurately before surgery. Here, we used copy number (CN) signatures as a tool to explore their clinical significance of molecular stratification in UTUC. CN signatures were extracted by non-negative matrix factorization from the whole-genome sequencing (WGS) data of 90 Chinese UTUC primary tumor samples. A validation UTUC cohort (n = 56) and a cohort from urinary cell-free DNA (cfDNA) of urothelial cancer patients (n = 94) and matched primary tumors were also examined. Survival analyses were measured using the Kaplan–Meier, and Cox regression was used for multivariate analysis. Here, we identified six CN signatures (Sig1–6). Patients with a high contribution of Sig6 (Sig6high) were associated with higher microsatellite instability level and papillary architecture and had a favorable outcome. Patients with a low weighted genome integrity index were associated with positive lymph node and showed the worst outcome. Sig6high was identified to be an independently prognostic factor. The predictive significance of CN signature was identified by a validation UTUC cohort. CN signatures retained great concordance between primary tumor and urinary cfDNA. In conclusion, our results reveal that CN signature assessment for risk stratification is feasible and provides a basis for clinical studies that evaluate therapeutic interventions and prognosis.
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Affiliation(s)
- Bao Guan
- Department of Urology, Peking University First Hospital, Beijing, China.,Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Yuan Liang
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Huan Lu
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Zhengzheng Xu
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yue Shi
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Juan Li
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenwen Kong
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chuanyu Tian
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yezhen Tan
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yanqing Gong
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Jin Liu
- Department of Urology, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dong Fang
- Department of Urology, Peking University First Hospital, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Qi Shen
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Shiming He
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Muhammad Shakeel
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Jamil-ur-Rahman Center for Genome Research, PCMD, ICCBS, University of Karachi, Karachi, Pakistan
| | - Zhongyuan Zhang
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Qun He
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Xuesong Li
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
| | - Weimin Ci
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,Institute of Stem cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, National Urological Cancer Center, Beijing, China
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12
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Lannoo L, Lenaerts L, Van Den Bogaert K, Che H, Brison N, Devriendt K, Amant F, Vermeesch JR, Van Calsteren K. Non-invasive prenatal testing suggesting a maternal malignancy: What do we tell the prospective parents in Belgium? Prenat Diagn 2021; 41:1264-1272. [PMID: 34405430 DOI: 10.1002/pd.6031] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/12/2021] [Accepted: 08/15/2021] [Indexed: 12/20/2022]
Abstract
Cancer is diagnosed in one in 1000 to 1500 pregnancies. Most frequently encountered malignancies during pregnancy are breast cancer, hematological cancer, cervical cancer and malignant melanoma. Maternal cancer is associated with an increased risk of IUGR and preterm labor, especially in patients with systemic disease or those receiving chemotherapy during pregnancy, requiring a high-risk obstetrical follow-up. Fetal aneuploidy screening by non-invasive prenatal testing (NIPT) can lead to the incidental identification of copy number alterations derived from non-fetal cell-free DNA (cfDNA), as seen in certain cases of maternal malignancy. The identification of tumor-derived cfDNA requires further clinical, biochemical, radiographic and histological investigations to confirm the diagnosis. In such cases, reliable risk estimation for fetal trisomy 21, 18 and 13 is impossible. Therefore, invasive testing should be offered when ultrasonographic screening reveals an increased risk for chromosomal anomalies, or when a more accurate test is desired. When the fetal karyotype is normal, long term implications for the fetus refer to the consequences of the maternal disease and treatment during pregnancy. This manuscript addresses parental questions when NIPT suggests a maternal malignancy. Based on current evidence and our own experience, a clinical management scheme in a multidisciplinary setting is proposed.
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Affiliation(s)
- Lore Lannoo
- Department of Development and Regeneration, Division Woman and Child, Clinical Department Obstetrics and Gynaecology, University Hospital Leuven, KULeuven, Leuven, Belgium
| | | | | | - Huiwen Che
- Department of Human Genetics, KULeuven, Leuven, Belgium
| | | | | | - Frédéric Amant
- Department of Gynaecological Oncology, KULeuven, Leuven, Belgium.,Center for Gynecological Oncology Amsterdam, Academic Medical Centre Amsterdam, University of Amsterdam, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | | | - Kristel Van Calsteren
- Department of Development and Regeneration, Division Woman and Child, Clinical Department Obstetrics and Gynaecology, University Hospital Leuven, KULeuven, Leuven, Belgium
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13
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Childs A, Steele CD, Vesely C, Rizzo FM, Ensell L, Lowe H, Dhami P, Vaikkinen H, Luong TV, Conde L, Herrero J, Caplin M, Toumpanakis C, Thirlwell C, Hartley JA, Pillay N, Meyer T. Whole-genome sequencing of single circulating tumor cells from neuroendocrine neoplasms. Endocr Relat Cancer 2021; 28:631-644. [PMID: 34280125 PMCID: PMC8428071 DOI: 10.1530/erc-21-0179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 07/16/2021] [Indexed: 11/20/2022]
Abstract
Single-cell profiling of circulating tumor cells (CTCs) as part of a minimally invasive liquid biopsy presents an opportunity to characterize and monitor tumor heterogeneity and evolution in individual patients. In this study, we aimed to compare single-cell copy number variation (CNV) data with tissue and define the degree of intra- and inter-patient genomic heterogeneity. We performed next-generation sequencing (NGS) whole-genome CNV analysis of 125 single CTCs derived from seven patients with neuroendocrine neoplasms (NEN) alongside matched white blood cells (WBC), formalin-fixed paraffin-embedded (FFPE), and fresh frozen (FF) samples. CTC CNV profiling demonstrated recurrent chromosomal alterations in previously reported NEN copy number hotspots, including the prognostically relevant loss of chromosome 18. Unsupervised hierarchical clustering revealed CTCs with distinct clonal lineages as well as significant intra- and inter-patient genomic heterogeneity, including subclonal alterations not detectable by bulk analysis and previously unreported in NEN. Notably, we also demonstrated the presence of genomically distinct CTCs according to the enrichment strategy utilized (EpCAM-dependent vs size-based). This work has significant implications for the identification of therapeutic targets, tracking of evolutionary change, and the implementation of CTC-biomarkers in cancer.
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Affiliation(s)
- Alexa Childs
- UCL Cancer Institute, University College London, London, UK
| | | | - Clare Vesely
- UCL Cancer Institute, University College London, London, UK
| | | | - Leah Ensell
- UCL Cancer Institute, University College London, London, UK
| | - Helen Lowe
- UCL Cancer Institute, University College London, London, UK
| | - Pawan Dhami
- UCL Cancer Institute, University College London, London, UK
| | - Heli Vaikkinen
- UCL Cancer Institute, University College London, London, UK
| | - Tu Vinh Luong
- Department of Histopathology, Royal Free London NHS Foundation Trust, London, UK
| | - Lucia Conde
- UCL Cancer Institute, University College London, London, UK
| | - Javier Herrero
- UCL Cancer Institute, University College London, London, UK
| | - Martyn Caplin
- Department of Gastroenterology, Royal Free London NHS Foundation Trust, London, UK
| | - Christos Toumpanakis
- Department of Gastroenterology, Royal Free London NHS Foundation Trust, London, UK
| | - Christina Thirlwell
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, Royal Free London NHS Foundation Trust, London, UK
| | - John A Hartley
- UCL Cancer Institute, University College London, London, UK
| | - Nischalan Pillay
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, UK
| | - Tim Meyer
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, Royal Free London NHS Foundation Trust, London, UK
- Correspondence should be addressed to T Meyer:
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14
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Low-coverage whole-genome sequencing of extracellular vesicle-associated DNA in patients with metastatic cancer. Sci Rep 2021; 11:4016. [PMID: 33597619 PMCID: PMC7889887 DOI: 10.1038/s41598-021-83436-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 01/29/2021] [Indexed: 12/14/2022] Open
Abstract
Low-coverage whole-genome sequencing (LC-WGS) can provide insight into oncogenic molecular changes. Serum extracellular vesicles (EV) represent a novel liquid biopsy source of tumoral DNA. This study compared copy number alteration (CNA) profiles generated from LC-WGS of formalin-fixed paraffin-embedded (FFPE) tumoral DNA and EV-DNA obtained from cancer patients. Patients with squamous cell carcinoma of the base of tongue (n = 3) and cutaneous squamous cell carcinoma (n = 2) were included. LC-WGS (0.5-1X coverage) was performed on FFPE-DNA and serum EV-DNA. Similarity between CNA profiles was analysed using QDNAseq. FFPE samples had a mean CNA of 31 (range 17–50) over 1.9 × 109 (range 1.0–2.6 × 109) bp in length, and EV samples had a mean CNA value of 17 (range 7–19) over 7.6 × 108 (range 2.9–15 × 108) bp in length. A mean of 8 (range 0–21) CNA over 5.9 × 108 (range 1.6–14 × 108) bp in length was found to overlap between EV and FFPE-derived samples per patient. Although the mean correlation efficient between samples was r = 0.34 (range − .08 to 0.99), this was not statistically significant (p > 0.05). Regions of highest deletion and duplication in FFPE samples were not well reflected in the EV-DNA. Selected CNA regions in EV-associated DNA were reflective of the primary tumor, however appreciation of global CNA and areas of most significant change was lost. The utility of LC-WGS of EV-derived DNA is likely limited to molecular alterations of known interest.
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15
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Brezina S, Feigl M, Gumpenberger T, Staudinger R, Baierl A, Gsur A. Genome-wide association study of germline copy number variations reveals an association with prostate cancer aggressiveness. Mutagenesis 2021; 35:283-290. [PMID: 32255470 DOI: 10.1093/mutage/geaa010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 03/16/2020] [Indexed: 12/24/2022] Open
Abstract
Prostate cancer is a major health burden, being the second most commonly diagnosed malignancy in men worldwide. Overtreatment represents a major problem in prostate cancer therapy, leading to significant long-term quality-of-life effects for patients and a broad socio-ecological burden. Biomarkers that could facilitate risk stratification of prostate cancer aggressiveness at the time of diagnosis may help to guide clinical treatment decisions and reduce overtreatment. Previous research on genetic variations in prostate cancer has shown that germline copy number variations as well as somatic copy number alterations are commonly present in cancer patients, altering a greater portion of the cancer genome than any other type of genetic variation. To investigate the effect of germline copy number variations on cancer aggressiveness we have compared genome-wide screening data from genomic DNA isolated from the blood of 120 patients with aggressive prostate cancer, 231 patients with non-aggressive prostate cancer and 87 controls with benign prostatic hyperplasia from the Prostate Cancer Study of Austria biobank using the Affymetrix SNP 6.0 array. We could show that patients with an aggressive form of prostate cancer had a higher frequency of copy number variations [mean count of copy number segments (CNS) = 12.9, median count of CNS = 9] compared to patients with non-aggressive prostate cancer (mean count of CNS = 10.4, median count of CNS = 8) or control patients diagnosed with benign prostatic hyperplasia (mean count of CNS = 9.3, median count of CNS = 8). In general, we observed that copy number gain is a rarer event, compared to copy number loss within all three patient groups. Furthermore, we could show a significant effect of copy number losses located on chromosomes 8, 9 and 10 on prostate cancer aggressiveness (P = 0.040, P = 0.037 and P = 0.005, respectively). Applying a cross-validation analysis yielded an area under the curve of 0.63. Our study reports promising findings suggesting that copy number losses might play an important role in the establishment of novel biomarkers to predict prostate cancer aggressiveness at the time of diagnosis. Such markers could be used to facilitate risk stratification to reduce overtreatment of prostate cancer patients.
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Affiliation(s)
- Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Moritz Feigl
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria.,Institute for Hydrology and Water Management, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Tanja Gumpenberger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Ricarda Staudinger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Andreas Baierl
- Department of Statistics and Operations Research, University of Vienna, Vienna, Austria
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
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16
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Abstract
Gains and losses of large segments of genomic DNA, known as copy number variants (CNVs) gained considerable interest in clinical diagnostics lately, as particular forms may lead to inherited genetic diseases. In recent decades, researchers developed a wide variety of cytogenetic and molecular methods with different detection capabilities to detect clinically relevant CNVs. In this review, we summarize methodological progress from conventional approaches to current state of the art techniques capable of detecting CNVs from a few bases up to several megabases. Although the recent rapid progress of sequencing methods has enabled precise detection of CNVs, determining their functional effect on cellular and whole-body physiology remains a challenge. Here, we provide a comprehensive list of databases and bioinformatics tools that may serve as useful assets for researchers, laboratory diagnosticians, and clinical geneticists facing the challenge of CNV detection and interpretation.
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17
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Sheng Y, Jiang Y, Yang Y, Li X, Qiu J, Wu J, Cheng L, Han J. CNA2Subpathway: identification of dysregulated subpathway driven by copy number alterations in cancer. Brief Bioinform 2021; 22:6076935. [PMID: 33423051 DOI: 10.1093/bib/bbaa413] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/25/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022] Open
Abstract
Biological pathways reflect the key cellular mechanisms that dictate disease states, drug response and altered cellular function. The local areas of pathways are defined as subpathways (SPs), whose dysfunction has been reported to be associated with the occurrence and development of cancer. With the development of high-throughput sequencing technology, identifying dysfunctional SPs by using multi-omics data has become possible. Moreover, the SPs are not isolated in the biological system but interact with each other. Here, we propose a network-based calculated method, CNA2Subpathway, to identify dysfunctional SPs is driven by somatic copy number alterations (CNAs) in cancer through integrating pathway topology information, multi-omics data and SP crosstalk. This provides a novel way of SP analysis by using the SP interactions in the system biological level. Using data sets from breast cancer and head and neck cancer, we validate the effectiveness of CNA2Subpathway in identifying cancer-relevant SPs driven by the somatic CNAs, which are also shown to be associated with cancer immune and prognosis of patients. We further compare our results with five pathway or SP analysis methods based on CNA and gene expression data without considering SP crosstalk. With these analyses, we show that CNA2Subpathway could help to uncover dysfunctional SPs underlying cancer via the use of SP crosstalk. CNA2Subpathway is developed as an R-based tool, which is freely available on GitHub (https://github.com/hanjunwei-lab/CNA2Subpathway).
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Affiliation(s)
- Yuqi Sheng
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Ying Jiang
- College of Basic Medical Science, Heilongjiang University of Chinese Medicine, China
| | - Yang Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Xiangmei Li
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Jiayue Qiu
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Jiashuo Wu
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Liang Cheng
- College of Bioinformatics Science and Technology, Harbin Medical University, China
| | - Junwei Han
- College of Bioinformatics Science and Technology, Harbin Medical University, China
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18
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Wang X, Fu XH, Qian ZL, Zhao T, Duan AQ, Ruan X, Zhu B, Yin L, Zhang YJ, Yu WL. Non-invasive detection of biliary tract cancer by low-coverage whole genome sequencing from plasma cell-free DNA: A prospective cohort study. Transl Oncol 2021; 14:100908. [PMID: 33059123 PMCID: PMC7550068 DOI: 10.1016/j.tranon.2020.100908] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 08/23/2020] [Accepted: 09/30/2020] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The diagnosis of biliary tract cancer (BTC) is challenging in clinical practice. We performed a prospective study to evaluate the value of plasma copy number variation (CNV) assays in diagnosing BTC. METHODS 47 treatment-naïve patients with suspicious biliary lesions were recruited. Plasma samples were collected at admission. Cell-free DNA was analyzed by low coverage whole genome sequencing, followed by CNV analyses via a customized bioinformatics workflow, namely the ultrasensitive chromosomal aneuploidy detector. RESULTS 29 patients were pathologically diagnosed as BTC, including 8 gallbladder cancers (GBCs) and 21 cholangiocarcinomas (CCs). Cancer patients had more CNV signals as compared with benign patients (26/29 vs. 2/18, P < 0.001). The most frequent copy number gains were chr3q (7/29) and chr8q (6/29). The most frequent copy number losses were chr7p (6/29), chr17p (6/29), and chr19p (6/29). The sensitivity and specificity of plasma CNV assays in diagnosing BTC were 89.7% and 88.9%, respectively. For CA 19-9 (cutoff: 37 U/ml), the sensitivity was 58.6% and the specificity was 72.2%. The diagnostic accuracy of CNV assays significantly outperformed CA 19-9 (AUC 0.91 vs. 0.62, P = 0.004). Compared with CA 19-9 alone, the adding of CNV profiles to CA 19-9 increased the sensitivity in diagnosing GBC (75.0% vs. 25.0%) and CC (100% vs. 52.4%). Higher CNV burden was also associated with decreased overall survival (Hazard ratio = 4.32, 95% CI 2.06-9.08, P = 0.033). DISCUSSION Our results suggest that BTC harbors rich plasma CNV signals, and their assays might be useful for diagnosing BTC.
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Affiliation(s)
- Xiang Wang
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Xiao-Hui Fu
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Zi-Liang Qian
- Suzhou Hongyuan Biotech Inc, Biobay, Suzhou 215123, China; Prophet Genomics Inc, San Jose, CA 95131, United States
| | - Teng Zhao
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - An-Qi Duan
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Xiang Ruan
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Bin Zhu
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Lei Yin
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China
| | - Yong-Jie Zhang
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China.
| | - Wen-Long Yu
- Department of Biliary Tract Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University/Navy Medical University, Shanghai 200438, China.
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19
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Comparison of Circulating Tumour DNA and Extracellular Vesicle DNA by Low-Pass Whole-Genome Sequencing Reveals Molecular Drivers of Disease in a Breast Cancer Patient. Biomedicines 2020; 9:biomedicines9010014. [PMID: 33375577 PMCID: PMC7823926 DOI: 10.3390/biomedicines9010014] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 01/08/2023] Open
Abstract
There is increasing recognition of circulating tumour DNA (ctDNA) as a non-invasive alternative to tumour tissue for the molecular characterisation and monitoring of disease. Recent evidence suggests that cancer-associated changes can also be detected in the DNA contained within extracellular vesicles (EVs). As yet, there has been limited investigation into the relationship between EV DNA and ctDNA, and no studies have examined the EV DNA of breast cancer patients. The aim of this study was to use low-pass whole-genome sequencing to identify copy number variants (CNVs) in serial samples of both ctDNA and EV DNA from a patient with breast cancer. Of the 52 CNVs identified in tumour DNA, 36 (69%) were detected in at least one ctDNA sample and 13 (25%) in at least one EV DNA sample. The number of detectable variants in ctDNA and EV DNA increased over the natural history of the patient’s disease, which was associated with progression to cerebral metastases. This case study demonstrates that, while CNVs are detectable in patient EV DNA, ctDNA has greater sensitivity than EV DNA for serial monitoring of breast cancer.
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20
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Unseld M, Belic J, Pierer K, Zhou Q, Moser T, Bauer R, Piringer G, Gerger A, Siebenhüner A, Speicher M, Heitzer E, Prager GW. A higher ctDNA fraction decreases survival in regorafenib-treated metastatic colorectal cancer patients. Results from the regorafenib's liquid biopsy translational biomarker phase II pilot study. Int J Cancer 2020; 148:1452-1461. [PMID: 32949150 PMCID: PMC7894541 DOI: 10.1002/ijc.33303] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/25/2022]
Abstract
The predictive effect of circulating tumor DNA (ctDNA) in colorectal cancer (CRC) treatment is still highly discussed. The primary objective of our study was to investigate a possible prognostic/predictive value of ctDNA under regorafenib treatment. This prospective multicenter translational biomarker phase II pilot study enrolled 30 metastatic CRC patients (67% men, 33% women) treated with regorafenib. ctDNA was assessed in plasma before treatment start and at defined time points during administration. Measurement of tumor fraction as well as mutation and copy number analysis of CRC driver genes were performed by next-generation sequencing approaches. Multivariate analyses for survival and treatment efficacy were adjusted to age, gender and Eastern Cooperative Oncology Group. Disease control rate was 30%. Median tumor fraction at baseline was 18.5% (0-49.9). Mutations in CRC driver genes or genes involved in angiogenesis were identified in 25 patients (83.3%). KRAS mutations were detected in 13 of 14 KRAS-positive tumors; in three patients without KRAS mutation in the respective tumors, acquired mutations as a consequence of prior anti-EGFR treatment were detected. In a subset of patients, novel occurring mutations or focal amplifications were detected. A tumor fraction of 5% and higher at baseline was significantly associated with a decreased OS (P = .022; hazard ratio 3.110 (95% confidence interval: 1.2-8.2). ctDNA is detectable in a high proportion of mCRC patients. Higher ctDNA levels are associated with survival among regorafenib treatment. Moreover, our data highlight the benefit of a combined evaluation of mutations and somatic copy number alterations in advanced cancer patients.
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Affiliation(s)
- Matthias Unseld
- Department of Medicine I, Division of Palliative Medicine, Medical University of Vienna, Vienna, Austria
| | - Jelena Belic
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Kerstin Pierer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria
| | - Qing Zhou
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Tina Moser
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Raimund Bauer
- Center for Pathobiochemistry and Genetics, Institute of Medical Chemistry, Medical University of Vienna, Vienna, Austria
| | | | - Armin Gerger
- Department of Internal Medicine, Division of Oncology, Medical University of Graz, Austria
| | | | - Michael Speicher
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.,Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria
| | - Gerald W Prager
- Department of Medicine I, Division of Oncology, Medical University of Vienna, Vienna, Austria
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21
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Zhang Q, Huang R, Hu H, Yu L, Tang Q, Tao Y, Liu Z, Li J, Wang G. Integrative Analysis of Hypoxia-Associated Signature in Pan-Cancer. iScience 2020; 23:101460. [PMID: 32861996 PMCID: PMC7476856 DOI: 10.1016/j.isci.2020.101460] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 07/18/2020] [Accepted: 08/12/2020] [Indexed: 02/06/2023] Open
Abstract
Hypoxia is serving crucial roles in cancers. This study aims to comprehensively analyze the molecular features and clinical relevance of a well-defined hypoxia-associated signature in pan-cancer using multi-omics data. Data were acquired from TCGA, CCLE, GDSC, and GEO. RNA expression pattern, copy number variation (CNV), methylation, and mutation of the signature were analyzed. The majority of the 15 genes were upregulated in cancer tissues compared with normal tissue, and RNA expression was negatively associated with methylation level. CNV occurred in almost all the cancers, whereas mutation frequency was low across different cancer types. The signature was also closely related to cancer hallmarks and cancer-related metabolism pathways. NDRG1 was upregulated in kidney cancer tissues as indicated by immunohistochemistry. Besides, most of the 15 genes were risk factors for patients' overall survival. Our results provide a valuable resource that will guide both mechanistic and therapeutic analyses of the hypoxia signature in cancers.
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Affiliation(s)
- Qian Zhang
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Rui Huang
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Hanqing Hu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Lei Yu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Qingchao Tang
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Yangbao Tao
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Zheng Liu
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100000, China
| | - Jiaying Li
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
| | - Guiyu Wang
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China
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22
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Todd RT, Selmecki A. Expandable and reversible copy number amplification drives rapid adaptation to antifungal drugs. eLife 2020; 9:e58349. [PMID: 32687060 PMCID: PMC7371428 DOI: 10.7554/elife.58349] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 07/09/2020] [Indexed: 12/13/2022] Open
Abstract
Previously, we identified long repeat sequences that are frequently associated with genome rearrangements, including copy number variation (CNV), in many diverse isolates of the human fungal pathogen Candida albicans (Todd et al., 2019). Here, we describe the rapid acquisition of novel, high copy number CNVs during adaptation to azole antifungal drugs. Single-cell karyotype analysis indicates that these CNVs appear to arise via a dicentric chromosome intermediate and breakage-fusion-bridge cycles that are repaired using multiple distinct long inverted repeat sequences. Subsequent removal of the antifungal drug can lead to a dramatic loss of the CNV and reversion to the progenitor genotype and drug susceptibility phenotype. These findings support a novel mechanism for the rapid acquisition of antifungal drug resistance and provide genomic evidence for the heterogeneity frequently observed in clinical settings.
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Affiliation(s)
- Robert T Todd
- Department of Microbiology and Immunology, University of Minnesota Medical SchoolMinneapolis, MinnesotaUnited States
| | - Anna Selmecki
- Department of Microbiology and Immunology, University of Minnesota Medical SchoolMinneapolis, MinnesotaUnited States
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23
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Court CM, Hou S, Liu L, Winograd P, DiPardo BJ, Liu SX, Chen PJ, Zhu Y, Smalley M, Zhang R, Sadeghi S, Finn RS, Kaldas FM, Busuttil RW, Zhou XJ, Tseng HR, Tomlinson JS, Graeber TG, Agopian VG. Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells. NPJ Precis Oncol 2020; 4:16. [PMID: 32637655 PMCID: PMC7331695 DOI: 10.1038/s41698-020-0123-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 05/07/2020] [Indexed: 12/12/2022] Open
Abstract
Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.
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Affiliation(s)
- Colin M Court
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,Department of Surgery, Veteran's Health Administration, Greater Los Angeles, Los Angeles, CA USA.,Department of Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, CA USA
| | - Shuang Hou
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA
| | - Lian Liu
- PacGenomics, llc, Los Angeles, CA USA
| | - Paul Winograd
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,Department of Surgery, Veteran's Health Administration, Greater Los Angeles, Los Angeles, CA USA
| | - Benjamin J DiPardo
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,Department of Surgery, Veteran's Health Administration, Greater Los Angeles, Los Angeles, CA USA
| | - Sean X Liu
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
| | - Pin-Jung Chen
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
| | - Yazhen Zhu
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
| | - Matthew Smalley
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
| | - Ryan Zhang
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
| | - Saeed Sadeghi
- Department of Medicine, Division of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA USA
| | - Richard S Finn
- Department of Medicine, Division of Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA USA
| | - Fady M Kaldas
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA
| | - Ronald W Busuttil
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA USA
| | - Xianghong J Zhou
- Department of Pathology and Laboratory Medicine, University of California, Los Angeles, Los Angeles, CA USA
| | - Hsian-Rong Tseng
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA.,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA USA.,Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA USA
| | - James S Tomlinson
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,Department of Surgery, Veteran's Health Administration, Greater Los Angeles, Los Angeles, CA USA.,Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA USA
| | - Thomas G Graeber
- Department of Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, CA USA.,Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA.,California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA USA.,Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA USA
| | - Vatche G Agopian
- Department of Surgery, University of California, Los Angeles, Los Angeles, CA USA.,Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA USA
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24
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Navani V, Graves MC, Bowden NA, Van Der Westhuizen A. Immune checkpoint blockade in solid organ tumours: Choice, dose and predictors of response. Br J Clin Pharmacol 2020; 86:1736-1752. [PMID: 32384184 DOI: 10.1111/bcp.14352] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 04/02/2020] [Accepted: 04/27/2020] [Indexed: 02/06/2023] Open
Abstract
Immune checkpoint blockade has transformed outcomes across solid organ tumours. Monoclonal antibodies targeting the negative inhibitory cytotoxic T lymphocyte-associated protein 4 and programmed-death 1/programmed death-ligand 1 axis can lead to deep and durable responses across several tumour streams in the advanced setting. This immunotherapy approach is increasingly used earlier in the treatment paradigm. A rapidly evolving regulatory, reimbursement and drug development landscape has accompanied this novel class of immunotherapy. Unfortunately, only a small proportion of patients respond meaningfully to these agents. Here we review how the underlying tumoural genomic, histological and immunological characteristics interact within various patient phenotypes, leading to variations in response to checkpoint blockade. Concurrently, we outline the clinical trial and real-world evidence that allows for appropriate selection of agent, dose and schedule in solid organ malignancies. An exploration of current trends in basic and translational research in immune checkpoint blockade accompanies a commentary on future clinical directions for checkpoint blockade in oncology.
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Affiliation(s)
| | - Moira C Graves
- University of Newcastle and Centre for Human Drug Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Nikola A Bowden
- University of Newcastle and Centre for Human Drug Research, Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Andre Van Der Westhuizen
- University of Newcastle and Centre for Human Drug Research, Hunter Medical Research Institute, Newcastle, NSW, Australia.,Calvary Mater Hospital, Newcastle, NSW, Australia
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25
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Nygård L, Ahlborn LB, Persson GF, Chandrananda D, Langer JW, Fischer BM, Langer SW, Gabrielaite M, Kjær A, Rosenfeld N, Mouliere F, Østrup O, Vogelius IR, Bentzen SM. Circulating cell free DNA during definitive chemo-radiotherapy in non-small cell lung cancer patients - initial observations. PLoS One 2020; 15:e0231884. [PMID: 32343749 PMCID: PMC7188247 DOI: 10.1371/journal.pone.0231884] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 04/02/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The overall aim was to investigate the change over time in circulating cell free DNA (cfDNA) in patients with locally advanced non-small cell lung cancer (NSCLC) undergoing concurrent chemo-radiotherapy. Furthermore, to assess the possibility of detecting circulating cell free tumor DNA (ctDNA) using shallow whole genome sequencing (sWGS) and size selection. METHODS Ten patients were included in a two-phase study. The first four patients had blood samples taken prior to a radiation therapy (RT) dose fraction and at 30 minutes, 1 hour and 2 hours after RT to estimate the short-term dynamics of cfDNA concentration after irradiation. The remaining six patients had one blood sample taken on six treatment days 30 minutes post treatment to measure cfDNA levels. Presence of ctDNA as indicated by chromosomal aberrations was investigated using sWGS. The sensitivity of this method was further enhanced using in silico size selection. RESULTS cfDNA concentration from baseline to 120 min after therapy was stable within 95% tolerance limits of +/- 2 ng/ml cfDNA. Changes in cfDNA were observed during therapy with an apparent qualitative difference between adenocarcinoma (average increase of 0.69 ng/ml) and squamous cell carcinoma (average increase of 4.0 ng/ml). Tumor shrinkage on daily cone beam computer tomography scans during radiotherapy did not correlate with changes in concentration of cfDNA. CONCLUSION Concentrations of cfDNA remain stable during the first 2 hours after an RT fraction. However, based on the sWGS profiles, ctDNA represented only a minor fraction of cfDNA in this group of patients. The detection sensitivity of genomic alterations in ctDNA strongly increases by applying size selection.
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Affiliation(s)
- Lotte Nygård
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Lise B. Ahlborn
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Gitte F. Persson
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Dineika Chandrananda
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
| | - Jonathan W. Langer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Barbara M. Fischer
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
- PET Centre, School of Biomedical Engineering and Imaging Sciences, Kings College London, St Thomas' Hospital, London, England, United Kingdom
| | - Seppo W. Langer
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Miglė Gabrielaite
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Andreas Kjær
- Department of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet and University of Copenhagen, Copenhagen, Denmark
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, England, United Kingdom
| | - Florent Mouliere
- Department of Pathology, Cancer Centre Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Olga Østrup
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Ivan R. Vogelius
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Søren M. Bentzen
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland Greenebaum Comprehensive Cancer Center, and University of Maryland School of Medicine, Baltimore, MD, United States of America
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26
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Sierra J, Marrugo-Ramírez J, Rodriguez-Trujillo R, Mir M, Samitier J. Sensor-Integrated Microfluidic Approaches for Liquid Biopsies Applications in Early Detection of Cancer. SENSORS (BASEL, SWITZERLAND) 2020; 20:E1317. [PMID: 32121271 PMCID: PMC7085501 DOI: 10.3390/s20051317] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 02/21/2020] [Accepted: 02/24/2020] [Indexed: 12/13/2022]
Abstract
Cancer represents one of the conditions with the most causes of death worldwide. Common methods for its diagnosis are based on tissue biopsies-the extraction of tissue from the primary tumor, which is used for its histological analysis. However, this technique represents a risk for the patient, along with being expensive and time-consuming and so it cannot be frequently used to follow the progress of the disease. Liquid biopsy is a new cancer diagnostic alternative, which allows the analysis of the molecular information of the solid tumors via a body fluid draw. This fluid-based diagnostic method displays relevant advantages, including its minimal invasiveness, lower risk, use as often as required, it can be analyzed with the use of microfluidic-based platforms with low consumption of reagent, and it does not require specialized personnel and expensive equipment for the diagnosis. In recent years, the integration of sensors in microfluidics lab-on-a-chip devices was performed for liquid biopsies applications, granting significant advantages in the separation and detection of circulating tumor nucleic acids (ctNAs), circulating tumor cells (CTCs) and exosomes. The improvements in isolation and detection technologies offer increasingly sensitive and selective equipment's, and the integration in microfluidic devices provides a better characterization and analysis of these biomarkers. These fully integrated systems will facilitate the generation of fully automatized platforms at low-cost for compact cancer diagnosis systems at an early stage and for the prediction and prognosis of cancer treatment through the biomarkers for personalized tumor analysis.
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Affiliation(s)
- Jessica Sierra
- Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain; (J.S.); (R.R.-T.); (J.S.)
- Department of Electronics and Biomedical Engineering, University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain;
| | - José Marrugo-Ramírez
- Department of Electronics and Biomedical Engineering, University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain;
| | - Romen Rodriguez-Trujillo
- Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain; (J.S.); (R.R.-T.); (J.S.)
- Department of Electronics and Biomedical Engineering, University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain;
| | - Mònica Mir
- Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain; (J.S.); (R.R.-T.); (J.S.)
- Department of Electronics and Biomedical Engineering, University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain;
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Monforte de Lemos 3-5, Pabellón 11, 28029 Madrid, Spain
| | - Josep Samitier
- Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain; (J.S.); (R.R.-T.); (J.S.)
- Department of Electronics and Biomedical Engineering, University of Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain;
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Monforte de Lemos 3-5, Pabellón 11, 28029 Madrid, Spain
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27
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Aouiche C, Chen B, Shang X. Predicting Stage-Specific Recurrent Aberrations From Somatic Copy Number Dataset. Front Genet 2020; 11:160. [PMID: 32174978 PMCID: PMC7054343 DOI: 10.3389/fgene.2020.00160] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 02/11/2020] [Indexed: 02/02/2023] Open
Abstract
Exploring the evolution process of cancers and its related complex molecular mechanisms at the genomic level through pathological staging angle is particularly important for providing novel therapeutic strategies most relevant to every cancer patient diagnosed at each stage. This is because the genomic level involving copy number variation (CNV) has been recognized as a critical genetic variation, which has a large influence on the progression of a variety of complex diseases. Great efforts have been devoted to the identification of recurrent aberrations, single genes and individual static pathways related to cancer progression. However, we still have little knowledge about the most important aberrant genes related to the pathology stages and their interconnected pathways from genomic profiles. In this study, we propose an identification framework that allows determining cancer-stages specific patterns dynamically. Firstly, a two-stage GAIA method is employed to identify stage-specific aberrant copy number variants segments. Secondly, stage-specific cancer genes fully located within the aberrant segments are then identified according to the reference annotation dataset. Thirdly, a pathway evolution network is constructed based on the impacted pathways functions and their overlapped genes. The involved significant functions and evolution paths uncovered by this network enabled investigation of the real progression of cancers, and thus facilitated the determination of appropriate clinical settings that will help to assess risk in cancer patients. Those findings at individual levels can be integrated to identify robust biomarkers in cancer progressions.
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Affiliation(s)
- Chaima Aouiche
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Bolin Chen
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China.,Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Xi'an, China.,Centre for Multidisciplinary Convergence Computing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Xuequn Shang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China.,Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Xi'an, China
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Separated Siamese Twins: Intronic Small Nucleolar RNAs and Matched Host Genes May be Altered in Conjunction or Separately in Multiple Cancer Types. Cells 2020; 9:cells9020387. [PMID: 32046192 PMCID: PMC7072173 DOI: 10.3390/cells9020387] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 02/04/2020] [Accepted: 02/05/2020] [Indexed: 12/15/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) are non-coding RNAs involved in RNA modification and processing. Approximately half of the so far identified snoRNA genes map within the intronic regions of host genes, and their expression, as well as the expression of their host genes, is dependent on transcript splicing and maturation. Growing evidence indicates that mutations and/or deregulations that affect snoRNAs, as well as host genes, play a significant role in oncogenesis. Among the possible factors underlying snoRNA/host gene expression deregulation is copy number alteration (CNA). We analyzed the data available in The Cancer Genome Atlas database, relative to CNA and expression of 295 snoRNA/host gene couples in 10 cancer types, to understand whether the genetic or expression alteration of snoRNAs and their matched host genes would have overlapping trends. Our results show that, counterintuitively, copy number and expression alterations of snoRNAs and matched host genes are not necessarily coupled. In addition, some snoRNA/host genes are mutated and overexpressed recurrently in multiple cancer types. Our findings suggest that the differential contribution to cancer development of both snoRNAs and host genes should always be considered, and that snoRNAs and their host genes may contribute to cancer development in conjunction or independently.
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29
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Lenaerts L, Tuveri S, Jatsenko T, Amant F, Vermeesch JR. Detection of incipient tumours by screening of circulating plasma DNA: hype or hope? Acta Clin Belg 2020; 75:9-18. [PMID: 31578135 DOI: 10.1080/17843286.2019.1671653] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background: The last half-decade has been marked by a rapid expansion of research efforts in the field of so-called liquid biopsies, thereby investigating the potential of blood-derived cell-free tumour DNA (ctDNA) markers for application in clinical oncological management. The analysis of cfDNA appears to be particularly attractive for therapy monitoring purposes, while in terms of early cancer diagnosis and screening the potentials are just starting to be explored. Challenges, both of biological and technical nature, need to be addressed. One such challenge is to overcome the low levels of ctDNA in the circulation, intrinsic to many early-stage cancers. Methods: Here, we give an overview of the features of ctDNA and the approaches that are currently being applied with the ultimate aim to detect tumours in a presymptomatic stage. Conclusion: Although many studies report encouraging results, further technical development and larger studies are warranted before application of ctDNA analysis may find its place in clinic.
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Affiliation(s)
| | | | | | - Frédéric Amant
- Department of Oncology, KU Leuven, Leuven, Belgium
- Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
- Center for Gynecological Oncology Amsterdam, Academic Medical Centre Amsterdam-University of Amsterdam and The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Joris Robert Vermeesch
- Department of Human Genetics, KU Leuven, Leuven, Belgium
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
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30
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Abstract
Nanotechnology has made remarkable contributions to clinical oncology. Nanotherapeutics and diagnostic tools have distinctive characteristics which allow them superior abilities to deliver therapeutics and imaging agents for radiation oncology. Compared to solid biopsies and imaging, the analysis of circulating tumor cells (CTCs) offers a more rapid, real-time, and less invasive method to monitor the dynamic molecular profiles of tumors. The potential of CTCs to be translated as a novel cancer biomarker has been demonstrated in numerous clinical studies. This review will discuss clinical applications of nanomaterials in radiation oncology and the implication of CTCs in cancer detection and monitoring.
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Affiliation(s)
- Bo Sun
- Radiation Oncology, The University of North Carolina at Chapel Hill, 125 Mason Farm Road, Marsico 2236, Chapel Hill, NC 27599, USA
| | - C Tilden Hagan
- UNC/NCSU Joint Department of Biomedical Engineering, 125 Mason Farm Road, Marsico 2120, Chapel Hill, NC 27599, USA
| | - Joseph Caster
- Radiation Oncology, University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA 52242, USA
| | - Andrew Z Wang
- Radiation Oncology, The University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27599, USA.
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31
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Jiang P, Chan KCA, Lo YMD. Liver-derived cell-free nucleic acids in plasma: Biology and applications in liquid biopsies. J Hepatol 2019; 71:409-421. [PMID: 31004682 DOI: 10.1016/j.jhep.2019.04.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 04/01/2019] [Accepted: 04/05/2019] [Indexed: 02/09/2023]
Abstract
There is much global research interest surrounding the use of cell-free DNA (cfDNA) for liquid biopsies. cfDNA-based non-invasive prenatal testing for foetal chromosomal aneuploidies was the first successful application of cfDNA technology that transformed clinical practice - it has since been rapidly adopted in dozens of countries and is used by millions of pregnant women every year. Prompted by such developments, efforts to use cfDNA in other fields, especially for cancer detection and monitoring have been actively pursued in recent years. Cancer-associated aberrations including single nucleotide mutations, copy number aberrations, aberrations in methylation and alterations in DNA fragmentation patterns have been detected in the cfDNA of patients suffering from a wide variety of cancers. In addition, the analysis of methylation and fragmentomic patterns has enabled the tissue origin of cfDNA to be determined. In this review, different approaches for detecting circulating liver-derived nucleic acids and cancer-associated aberrations, as well as their potential clinical applications for the detection, monitoring and management of hepatocellular carcinoma, will be discussed.
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Affiliation(s)
- Peiyong Jiang
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region; Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region
| | - K C Allen Chan
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region; Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region
| | - Y M Dennis Lo
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong Special Administrative Region; Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region; State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong Special Administrative Region.
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32
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Lee KS, Nam SK, Seo SH, Park KU, Oh HK, Kim DW, Kang SB, Kim WH, Lee HS. Digital polymerase chain reaction for detecting c-MYC copy number gain in tissue and cell-free plasma samples of colorectal cancer patients. Sci Rep 2019; 9:1611. [PMID: 30733532 PMCID: PMC6367402 DOI: 10.1038/s41598-018-38415-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 12/28/2018] [Indexed: 02/07/2023] Open
Abstract
We focused on the utility of the droplet digital polymerase chain reaction (ddPCR) for detecting c-MYC gene copy number (GCN) gain in cell-free plasma and tumor tissue of colorectal cancer (CRC) patients. c-MYC GCN status was determined using dual-color silver in situ hybridization (SISH) and ddPCR in retrospective cohort 1 (192 CRC patients) and prospective cohort 2 (64 CRC patients). In cohort 1, c-MYC GCN gain was observed in 34 (17.5%) patients by SISH, and in 7 (3.6%) patients by ddPCR. c-MYC GCN by SISH significantly correlated with ddPCR results (ρ = 0.532, P < 0.001). Although 40 cases (20.7%) showed intratumoral genetic heterogeneity, it did not cause discordance in results obtained by the two methods. c-MYC GCN gain, by both SISH and ddPCR was independently correlated with worst prognosis (P = 0.002). In cohort 2, c-MYC GCN estimation in tissue by ddPCR was also significantly associated with results obtained by SISH (ρ = 0.349, P = 0.005), but correlated with plasma ddPCR with borderline significance (ρ = 0.246, P = 0.050). Additionally, detecting c-MYC GCN gain in plasma with ddPCR might have relatively low sensitivity but high specificity. Our study suggests that ddPCR can be a useful tool for detecting c-MYC GCN gain as a potential prognostic biomarker in CRC tissue samples; however, this will need further verification in plasma samples.
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Affiliation(s)
- Kyu Sang Lee
- Department of Pathology, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Soo Kyung Nam
- Department of Pathology, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Soo Hyun Seo
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Kyoung Un Park
- Department of Laboratory Medicine, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Heung-Kwon Oh
- Department of Surgery, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-707, Republic of Korea
| | - Duck-Woo Kim
- Department of Surgery, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-707, Republic of Korea
| | - Sung-Bum Kang
- Department of Surgery, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 463-707, Republic of Korea
| | - Woo Ho Kim
- Department of Pathology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Hye Seung Lee
- Department of Pathology, Seoul National University Bundang Hospital, 173-82 Gumi-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. .,Department of Pathology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
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33
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Koldby KM, Mortensen MB, Detlefsen S, Pfeiffer P, Thomassen M, Kruse TA. Tumor-specific genetic aberrations in cell-free DNA of gastroesophageal cancer patients. J Gastroenterol 2019; 54:108-121. [PMID: 30242476 DOI: 10.1007/s00535-018-1508-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/04/2018] [Indexed: 02/04/2023]
Abstract
The applicability of liquid biopsies is studied intensively in all types of cancer and analysis of circulating tumor DNA (ctDNA) has recently been implemented clinically for mutation detection in lung cancer. ctDNA may provide information about tumor quantity and mutations present in the tumor, and as such have many potential applications in diagnosis and treatment of cancer. It has been suggested that ctDNA analysis may overcome the issue of intra-tumor heterogeneity faced by tissue biopsies and serve as an additional diagnostic tool. Furthermore, liquid biopsies are potentially helpful for monitoring of treatment response as well as detection of minimal residual disease and relapse. Gastroesophageal cancers (GEC) have high mortality rates and the majority of patients present with advanced stage at diagnosis or succumb due to disease recurrence even after radical resection of the primary tumor. Biomarkers that can help optimize treatment strategy are thus highly desirable. The present study is a review of published data on ctDNA in GEC patients. We identified 25 studies in which tumor-specific genetic aberrations were investigated in plasma or serum and discuss these in relation to the methods applied for ctDNA analysis. The methods used for ctDNA detection greatly influence the sensitivity of the analysis and, therefore, the potential clinical applications. We found that studies of ctDNA in GEC, although limited in number, are promising for several applications such as genetic profiling of tumors and monitoring of disease progression. However, more studies are needed to establish if and how this analysis can be clinically implemented.
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Affiliation(s)
- Kristina Magaard Koldby
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, Odense, Denmark. .,Human Genetics, Department of Clinical Research, University of Southern Denmark, Sdr. Boulevard 29, Odense, Denmark.
| | - Michael Bau Mortensen
- Department of Surgery, Odense University Hospital, J.B. Winsløws Vej 4, Odense, Denmark
| | - Sönke Detlefsen
- Department of Pathology, Odense University Hospital, J.B. Winsløws Vej 15, Odense, Denmark
| | - Per Pfeiffer
- Department of Oncology, Odense University Hospital, J.B. Winsløws Vej 4, Odense, Denmark
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, Odense, Denmark.,Human Genetics, Department of Clinical Research, University of Southern Denmark, Sdr. Boulevard 29, Odense, Denmark
| | - Torben A Kruse
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsløws Vej 4, Odense, Denmark.,Human Genetics, Department of Clinical Research, University of Southern Denmark, Sdr. Boulevard 29, Odense, Denmark
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34
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Lenaerts L, Vandenberghe P, Brison N, Che H, Neofytou M, Verheecke M, Leemans L, Maggen C, Dewaele B, Dehaspe L, Vanderschueren S, Dierickx D, Vandecaveye V, Amant F, Vermeesch J. Genomewide copy number alteration screening of circulating plasma DNA: potential for the detection of incipient tumors. Ann Oncol 2019; 30:85-95. [DOI: 10.1093/annonc/mdy476] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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35
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Preferred end coordinates and somatic variants as signatures of circulating tumor DNA associated with hepatocellular carcinoma. Proc Natl Acad Sci U S A 2018; 115:E10925-E10933. [PMID: 30373822 PMCID: PMC6243268 DOI: 10.1073/pnas.1814616115] [Citation(s) in RCA: 122] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Cell-free DNA fragmentation is a nonrandom process. We showed that cell-free DNA fragments with ends at certain genomic coordinates had higher likelihoods of being derived from hepatocellular carcinoma. Other coordinates were associated with cell-free DNA molecules originating from the liver. Quantitative assessment of cell-free DNA molecules bearing these respective groups of end signatures correlated with the amounts of tumor-derived or liver-derived DNA in plasma. There were millions of tumor-associated plasma DNA end coordinates across the genome. Due to their high prevalence, they were more readily detectable than somatic mutations as a cancer signature in plasma. Hence, detection of tumor-associated plasma DNA ends may offer a cost-effective means of capturing evidence for the presence of cancer through liquid biopsy assessment. Circulating tumor-derived cell-free DNA (ctDNA) analysis offers an attractive noninvasive means for detection and monitoring of cancers. Evidence for the presence of cancer is dependent on the ability to detect features in the peripheral circulation that are deemed as cancer-associated. We explored approaches to improve the chance of detecting the presence of cancer based on sequence information present on ctDNA molecules. We developed an approach to detect the total pool of somatic mutations. We then investigated if there existed a class of ctDNA signature in the form of preferred plasma DNA end coordinates. Cell-free DNA fragmentation is a nonrandom process. Using plasma samples obtained from liver transplant recipients, we showed that liver contributed cell-free DNA molecules ended more frequently at certain genomic coordinates than the nonliver-derived molecules. The abundance of plasma DNA molecules with these liver-associated ends correlated with the liver DNA fractions in the plasma samples. Studying the DNA end characteristics in plasma of patients with hepatocellular carcinoma and chronic hepatitis B, we showed that there were millions of tumor-associated plasma DNA end coordinates in the genome. Abundance of plasma DNA molecules with tumor-associated DNA ends correlated with the tumor DNA fractions even in plasma samples of hepatocellular carcinoma patients that were subjected to shallow-depth sequencing analysis. Plasma DNA end coordinates may therefore serve as hallmarks of ctDNA that could be sampled readily and, hence, may improve the cost-effectiveness of liquid biopsy assessment.
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36
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Saini N, Gordenin DA. Somatic mutation load and spectra: A record of DNA damage and repair in healthy human cells. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2018; 59:672-686. [PMID: 30152078 PMCID: PMC6188803 DOI: 10.1002/em.22215] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 06/07/2018] [Accepted: 06/11/2018] [Indexed: 05/31/2023]
Abstract
Somatic genome instability is a hallmark of cancer genomes and has been linked to aging and a variety of other pathologies. Large-scale cancer genome and exome sequencing have revealed that mutation load and spectra in cancers can be influenced by environmental exposures, the anatomical site of exposures, and tissue type. There is now an abundance of data favoring the hypothesis that a substantial portion of the mutations in cancers originate prior to carcinogenesis in stem cells of the healthy individual. Rapid advances in sequencing of noncancer cells from healthy humans have shown that their mutation loads and spectra resemble cancer data. Similar to cancer genomes, mutation profiles of healthy cells show marked intra-individual variation, thus providing a metric of the various factors-environmental and endogenous-involved in mutagenesis in these individuals. This review focuses on the current methodologies to measure mutation loads and to determine mutation signatures for evaluating the environmental and endogenous sources of DNA damage in human somatic cells. We anticipate that in future, such large-scale studies aimed at exploring the landscapes of somatic mutations across different cell types in healthy people would provide a valuable resource for designing personalized preventative strategies against diseases associated with somatic genome instability. Environ. Mol. Mutagen. 59:672-686, 2018. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
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Affiliation(s)
- Natalie Saini
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Dmitry A. Gordenin
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
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37
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Hieronymus H, Murali R, Tin A, Yadav K, Abida W, Moller H, Berney D, Scher H, Carver B, Scardino P, Schultz N, Taylor B, Vickers A, Cuzick J, Sawyers CL. Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death. eLife 2018; 7:e37294. [PMID: 30178746 PMCID: PMC6145837 DOI: 10.7554/elife.37294] [Citation(s) in RCA: 181] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Accepted: 08/13/2018] [Indexed: 12/14/2022] Open
Abstract
The level of copy number alteration (CNA), termed CNA burden, in the tumor genome is associated with recurrence of primary prostate cancer. Whether CNA burden is associated with prostate cancer survival or outcomes in other cancers is unknown. We analyzed the CNA landscape of conservatively treated prostate cancer in a biopsy and transurethral resection cohort, reflecting an increasingly common treatment approach. We find that CNA burden is prognostic for cancer-specific death, independent of standard clinical prognosticators. More broadly, we find CNA burden is significantly associated with disease-free and overall survival in primary breast, endometrial, renal clear cell, thyroid, and colorectal cancer in TCGA cohorts. To assess clinical applicability, we validated these findings in an independent pan-cancer cohort of patients whose tumors were sequenced using a clinically-certified next generation sequencing assay (MSK-IMPACT), where prognostic value varied based on cancer type. This prognostic association was affected by incorporating tumor purity in some cohorts. Overall, CNA burden of primary and metastatic tumors is a prognostic factor, potentially modulated by sample purity and measurable by current clinical sequencing.
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Affiliation(s)
- Haley Hieronymus
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Rajmohan Murali
- Department of PathologyMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Amy Tin
- Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Kamlesh Yadav
- Department of UrologyIcahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Wassim Abida
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkUnited States
- Genitourinary Oncology Service, Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Henrik Moller
- Department of Cancer Epidemiology, Population and Global HealthKing's College LondonLondonUnited Kingdom
| | - Daniel Berney
- Department of Molecular OncologyBarts Cancer Institute, Queen Mary University of LondonLondonUnited Kingdom
| | - Howard Scher
- Genitourinary Oncology Service, Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkUnited States
- Department of MedicineWeill Cornell Medical CollegeNew YorkUnited States
| | - Brett Carver
- Department of UrologyMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Peter Scardino
- Department of UrologyMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular OncologyMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Barry Taylor
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkUnited States
- Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer CenterNew YorkUnited States
- Marie-Josée and Henry R. Kravis Center for Molecular OncologyMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Andrew Vickers
- Department of Epidemiology and BiostatisticsMemorial Sloan Kettering Cancer CenterNew YorkUnited States
| | - Jack Cuzick
- Centre for Cancer Prevention, Wolfson Institute of Preventive MedicineQueen Mary University of LondonLondonUnited Kingdom
| | - Charles L Sawyers
- Human Oncology and Pathogenesis ProgramMemorial Sloan Kettering Cancer CenterNew YorkUnited States
- Howard Hughes Medical InstituteChevy ChaseUnited States
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38
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Kohli M, Li J, Du M, Hillman DW, Dehm SM, Tan W, Carlson R, Campion MB, Wang L, Wang L, Zhang H, Zhang P, Kilari D, Huang CC, Wang L. Prognostic association of plasma cell-free DNA-based androgen receptor amplification and circulating tumor cells in pre-chemotherapy metastatic castration-resistant prostate cancer patients. Prostate Cancer Prostatic Dis 2018; 21:411-418. [PMID: 29858592 PMCID: PMC6126974 DOI: 10.1038/s41391-018-0043-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 02/07/2018] [Accepted: 02/16/2018] [Indexed: 02/08/2023]
Abstract
BACKGROUND The prognostic significance of plasma cell-free DNA (cfDNA) androgen receptor amplification (ARamp) in metastatic castration-resistant prostate cancer (mCRPC) compared with circulating tumor cell (CTC) counts is not known. METHODS As part of correlative aims of a prospective study in mCRPC, concurrent and serial collections of plasma and CTCs were performed. Specimen collections were performed at baseline after progression on androgen deprivation therapy and then 12 weeks later. QuantStudio3D digital PCR system was used to determine plasma cfDNA AR copy number variations and Cell search assay for enumerating CTC counts. Association of baseline cfDNA ARamp status/CTC counts with overall survival (OS) (primary goal) was evaluated using Kaplan-Meier method and log-rank test (p ≤ 0.05 for significance) and receiver operator curves (ROCs) for ARamp status and CTC counts ≥5. A multivariate analysis was performed using Cox regression models that included ARamp, CTC counts, and other clinical factors. RESULTS ARamp was detected in 19/70 patients at baseline. At the time of analysis, 28/70 patients had died (median follow-up 806 days; interquartile range: 535-966). ARamp was associated with poor OS (2-year OS of 35% in ARamp vs. 71% in non-ARamp; log-rank p value ≤0.0001). Baseline CTC counts ≥5 (vs. <5) was also associated with poor survival (2-year OS of 44 vs. 74%; log-rank p = 0.001). ROC analysis demonstrated area under the curve of 0.66 for ARamp-based prognosis and 0.68 for CTC count-based prognosis (p = 0.84 for difference). The best two variables included for multivariable analysis were ARamp and CTC counts ≥5; however, the two-factor model was not significantly better than using ARamp alone for predicting survival (hazard ratio = 5.25; p = 0.0002). CONCLUSIONS CTCs and plasma cfDNA ARamp were observed to have equal prognostic value in mCRPC. Larger cohorts that incorporate molecular and clinical factors are needed to further refine prognosis in CRPC.
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Affiliation(s)
- Manish Kohli
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN, USA.
| | - Jian Li
- Department of Internal Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Meijun Du
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - David W Hillman
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Scott M Dehm
- Department of Laboratory Medicine and Pathology, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Urology, University of Minnesota, Minneapolis, MN, USA
| | - Winston Tan
- Division of Hematology-Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - Rachel Carlson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Michael B Campion
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Liguo Wang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Liewei Wang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Huijuan Zhang
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Physical Examination Center, Zhengzhou Seventh People Hospital, Zhengzhou, Henan, China
| | - Peng Zhang
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Deepak Kilari
- Department of Medicine, Medical College of Wisconsin and Milwaukee VA Medical Center, Milwaukee, WI, USA
| | - Chiang-Ching Huang
- Joseph J Zilber School of Public Health, University of Wisconsin, Milwaukee, WI, USA
| | - Liang Wang
- Department of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
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39
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Pannuti A, Filipovic A, Hicks C, Lefkowitz E, Ptacek T, Stebbing J, Miele L. Novel putative drivers revealed by targeted exome sequencing of advanced solid tumors. PLoS One 2018; 13:e0194790. [PMID: 29570743 PMCID: PMC5865730 DOI: 10.1371/journal.pone.0194790] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 03/10/2018] [Indexed: 12/12/2022] Open
Abstract
Next generation sequencing (NGS) is becoming increasingly integrated into oncological practice and clinical research. NGS methods have also provided evidence for clonal evolution of cancers during disease progression and treatment. The number of variants associated with response to specific therapeutic agents keeps increasing. However, the identification of novel driver mutations as opposed to passenger (phenotypically silent or clinically irrelevant) mutations remains a major challenge. We conducted targeted exome sequencing of advanced solid tumors from 44 pre-treated patients with solid tumors including breast, colorectal and lung carcinomas, neuroendocrine tumors, sarcomas and others. We catalogued established driver mutations and putative new drivers as predicted by two distinct algorithms. The established drivers we detected were consistent with published observations. However, we also detected a significant number of mutations with driver potential never described before in each tumor type we studied. These putative drivers belong to key cell fate regulatory networks, including potentially druggable pathways. Should our observations be confirmed, they would support the hypothesis that new driver mutations are selected by treatment in clinically aggressive tumors, and indicate a need for longitudinal genomic testing of solid tumors to inform second line cancer treatment.
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Affiliation(s)
- Antonio Pannuti
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America
| | | | - Chindo Hicks
- Department of Genetics, Louisiana State University School of Medicine, New Orleans, Louisiana, United States of America
- Biomedical Informatics Key Component, Louisiana Clinical and Translational Sciences Center, Baton Rouge, Louisiana, United States of America
| | - Elliot Lefkowitz
- Department of Microbiology, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America
- Informatics Institute, Center for Clinical and Translational Sciences, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America
| | - Travis Ptacek
- Department of Microbiology, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America
- Informatics Institute, Center for Clinical and Translational Sciences, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, United States of America
| | - Justin Stebbing
- Department of Oncology, Imperial College of Medicine, London, United Kingdom
- * E-mail: (JS); (LM)
| | - Lucio Miele
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America
- Department of Genetics, Louisiana State University School of Medicine, New Orleans, Louisiana, United States of America
- * E-mail: (JS); (LM)
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40
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Kumar-Sinha C, Chinnaiyan AM. Precision oncology in the age of integrative genomics. Nat Biotechnol 2018; 36:46-60. [PMID: 29319699 PMCID: PMC6364676 DOI: 10.1038/nbt.4017] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 10/20/2017] [Indexed: 02/08/2023]
Abstract
Precision oncology applies genomic and other molecular analyses of tumor biopsies to improve the diagnosis and treatment of cancers. In addition to identifying therapeutic options, precision oncology tracks the response of a tumor to an intervention at the molecular level and detects drug resistance and the mechanisms by which it occurs. Integrative genomics can include sequencing specific panels of genes, exomes, or the entire triad of the patient's germline, tumor exome, and tumor transcriptome. Although the capabilities of sequencing technologies continue to improve, widespread adoption of genomics-driven precision oncology in the clinic has been held back by logistical, regulatory, financial, and ethical considerations. Nevertheless, integrative clinical sequencing programs applied at the point of care have the potential to improve the clinical management of cancer patients.
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Affiliation(s)
- Chandan Kumar-Sinha
- Michigan Center for Translational Pathology
- Department of Pathology, University of Michigan
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology
- Department of Pathology, University of Michigan
- Department of Computational Medicine and Bioinformatics,
University of Michigan
- Howard Hughes Medical Institute, University of Michigan
Medical School
- Department of Urology, University of Michigan
- Comprehensive Cancer Center, University of Michigan Medical
School, Ann Arbor, MI 48109
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41
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Salvi S, Conteduca V, Martignano F, Gurioli G, Calistri D, Casadio V. Serum and Plasma Copy Number Detection Using Real-time PCR. J Vis Exp 2017. [PMID: 29286483 DOI: 10.3791/56502] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Serum and plasma cell free DNA (cfDNA) has been shown as an informative, non-invasive source of biomarkers for cancer diagnosis, prognosis, monitoring, and prediction of treatment resistance. Starting from the hypothesis that androgen receptor (AR) gene copy number (CN) gain is a frequent event in metastatic castration resistance prostate cancer (mCRPC), we propose to analyze this event in cfDNA as a potential predictive biomarker. We evaluated AR CN in cfDNA using 2 different real-time PCR assays and 2 reference genes (RNaseP and AGO1). DNA amount of 60 ng was used for each assay combination. AR CN gain was confirmed using Digital PCR as a more accurate method. CN variation analysis has already been demonstrated to be informative for the prediction of treatment resistance in the setting of mCRPC, but it could be useful also for other purposes in different patient settings. CN analysis on cfDNA has several advantages: it is non-invasive, rapid and easy to perform, and it starts from a small volume of serum or plasma material.
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Affiliation(s)
- Samanta Salvi
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS;
| | - Vincenza Conteduca
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Filippo Martignano
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Giorgia Gurioli
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Daniele Calistri
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Valentina Casadio
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
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42
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The potential of liquid biopsies for the early detection of cancer. NPJ Precis Oncol 2017; 1:36. [PMID: 29872715 PMCID: PMC5871864 DOI: 10.1038/s41698-017-0039-5] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 09/25/2017] [Accepted: 09/25/2017] [Indexed: 02/07/2023] Open
Abstract
Precision medicine refers to the choosing of targeted therapies based on genetic data. Due to the increasing availability of data from large-scale tumor genome sequencing projects, genome-driven oncology may have enormous potential to change the clinical management of patients with cancer. To this end, components of tumors, which are shed into the circulation, i.e., circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), or extracellular vesicles, are increasingly being used for monitoring tumor genomes. A growing number of publications have documented that these “liquid biopsies” are informative regarding response to given therapies, are capable of detecting relapse with lead time compared to standard measures, and reveal mechanisms of resistance. However, the majority of published studies relate to advanced tumor stages and the use of liquid biopsies for detection of very early malignant disease stages is less well documented. In early disease stages, strategies for analysis are in principle relatively similar to advanced stages. However, at these early stages, several factors pose particular difficulties and challenges, including the lower frequency and volume of aberrations, potentially confounding phenomena such as clonal expansions of non-tumorous tissues or the accumulation of cancer-associated mutations with age, and the incomplete insight into driver alterations. Here we discuss biology, technical complexities and clinical significance for early cancer detection and their impact on precision oncology.
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43
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Chang Y, Tolani B, Nie X, Zhi X, Hu M, He B. Review of the clinical applications and technological advances of circulating tumor DNA in cancer monitoring. Ther Clin Risk Manag 2017; 13:1363-1374. [PMID: 29066904 PMCID: PMC5644666 DOI: 10.2147/tcrm.s141991] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Circulating cell-free DNA (cfDNA) released by tumor cells, termed ctDNA, closely reflects the heterogeneity of primary cancers and their metastases. As a noninvasive, real-time monitoring biomarker, ctDNA is a promising tool for detecting driver gene mutations, assessing tumor burden and acquired resistance, and early diagnosis. However, isolation and enrichment of cfDNA is a big challenge due to the high degree of DNA fragmentation and its relatively low abundance in the bloodstream. This review aims to provide insights into the recent technological advances in acquisition of optimal quality cfDNA, the use of preservatives, isolation methods, processing timelines, and detection techniques. It also describes clinical applications of ctDNA in cancer patient management.
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Affiliation(s)
- Yi Chang
- Department of Respiratory Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Thoracic Oncology Program, Department of Surgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Bhairavi Tolani
- Thoracic Oncology Program, Department of Surgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Xiuhong Nie
- Department of Respiratory Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiuyi Zhi
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Mu Hu
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Biao He
- Thoracic Oncology Program, Department of Surgery, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
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44
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Van Roy N, Van Der Linden M, Menten B, Dheedene A, Vandeputte C, Van Dorpe J, Laureys G, Renard M, Sante T, Lammens T, De Wilde B, Speleman F, De Preter K. Shallow Whole Genome Sequencing on Circulating Cell-Free DNA Allows Reliable Noninvasive Copy-Number Profiling in Neuroblastoma Patients. Clin Cancer Res 2017; 23:6305-6314. [PMID: 28710315 DOI: 10.1158/1078-0432.ccr-17-0675] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 06/02/2017] [Accepted: 07/10/2017] [Indexed: 11/16/2022]
Abstract
Purpose: Neuroblastoma (NB) is a heterogeneous disease characterized by distinct clinical features and by the presence of typical copy-number alterations (CNAs). Given the strong association of these CNA profiles with prognosis, analysis of the CNA profile at diagnosis is mandatory. Therefore, we tested whether the analysis of circulating cell-free DNA (cfDNA) present in plasma samples of patients with NB could offer a valuable alternative to primary tumor DNA for CNA profiling.Experimental Design: In 37 patients with NB, cfDNA analysis using shallow whole genome sequencing (sWGS) was compared with arrayCGH analysis of primary tumor tissue.Results: Comparison of CNA profiles on cfDNA showed highly concordant patterns, particularly in high-stage patients. Numerical chromosome imbalances as well as large and focal structural aberrations including MYCN and LIN28B amplification and ATRX deletion could be readily detected with sWGS using a low input of cfDNA.Conclusions: In conclusion, sWGS analysis on cfDNA offers a cost-effective, noninvasive, rapid, robust and sensitive alternative for tumor DNA copy-number profiling in most patients with NB. Clin Cancer Res; 23(20); 6305-14. ©2017 AACR.
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Affiliation(s)
- Nadine Van Roy
- Center for Medical Genetics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Malaïka Van Der Linden
- Center for Medical Genetics, Ghent University, Ghent, Belgium.,Department of Pathology, Ghent University, Ghent, Belgium
| | - Björn Menten
- Center for Medical Genetics, Ghent University, Ghent, Belgium
| | | | - Charlotte Vandeputte
- Center for Medical Genetics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University, Ghent, Belgium
| | - Geneviève Laureys
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Marleen Renard
- Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Leuven University Hospital, Leuven, Belgium
| | - Tom Sante
- Center for Medical Genetics, Ghent University, Ghent, Belgium
| | - Tim Lammens
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Bram De Wilde
- Cancer Research Institute Ghent, Ghent University, Ghent, Belgium.,Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium
| | - Frank Speleman
- Center for Medical Genetics, Ghent University, Ghent, Belgium.,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
| | - Katleen De Preter
- Center for Medical Genetics, Ghent University, Ghent, Belgium. .,Cancer Research Institute Ghent, Ghent University, Ghent, Belgium
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45
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Li J, Dittmar RL, Xia S, Zhang H, Du M, Huang CC, Druliner BR, Boardman L, Wang L. Cell-free DNA copy number variations in plasma from colorectal cancer patients. Mol Oncol 2017; 11:1099-1111. [PMID: 28504856 PMCID: PMC5537711 DOI: 10.1002/1878-0261.12077] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 03/30/2017] [Accepted: 04/29/2017] [Indexed: 01/15/2023] Open
Abstract
To evaluate the clinical utility of cell‐free DNA (cfDNA), we performed whole‐genome sequencing to systematically examine plasma cfDNA copy number variations (CNVs) in a cohort of patients with colorectal cancer (CRC, n = 80), polyps (n = 20), and healthy controls (n = 35). We initially compared cfDNA yield in 20 paired serum–plasma samples and observed significantly higher cfDNA concentration in serum (median = 81.20 ng, range 7.18–500 ng·mL−1) than in plasma (median = 5.09 ng, range 3.76–62.8 ng·mL−1) (P < 0.0001). However, tumor‐derived cfDNA content was significantly lower in serum than in matched plasma samples tested. With ~10 million reads per sample, the sequencing‐based copy number analysis showed common CNVs in multiple chromosomal regions, including amplifications on 1q, 8q, and 5q and deletions on 1p, 4q, 8p, 17p, 18q, and 22q. Copy number changes were also evident in genes critical to the cell cycle, DNA repair, and WNT signaling pathways. To evaluate whether cumulative copy number changes were associated with tumor stages, we calculated plasma genomic abnormality in colon cancer (PGA‐C) score by summing the most significant CNVs. The PGA‐C score showed predictive performance with an area under the curve from 0.54 to 0.84 for CRC stages I‐IV. Locus‐specific copy number analysis identified nine genomic regions where CNVs were significantly associated with survival in stage III‐IV CRC patients. A multivariate model using six of nine genomic regions demonstrated a significant association of high‐risk score with shorter survival (HR = 5.33, 95% CI = 6.76–94.44, P < 0.0001). Our study demonstrates the importance of using plasma (rather than serum) to test tumor‐related genomic variations. Plasma cfDNA‐based tests can capture tumor‐specific genetic changes and may provide a measurable classifier for assessing clinical outcomes in advanced CRC patients.
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Affiliation(s)
- Jian Li
- Department of Gastroenterology, Henan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China.,Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Rachel L Dittmar
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Shu Xia
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.,Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Zhang
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.,Physical Examination Center, Zhengzhou Seventh People's Hospital, Zhengzhou, China
| | - Meijun Du
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Chiang-Ching Huang
- Department of Biostatistics, University of Wisconsin, Milwaukee, WI, USA
| | | | - Lisa Boardman
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Liang Wang
- Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
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46
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Ulz P, Heitzer E, Geigl JB, Speicher MR. Patient monitoring through liquid biopsies using circulating tumor DNA. Int J Cancer 2017; 141:887-896. [PMID: 28470712 DOI: 10.1002/ijc.30759] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 04/25/2017] [Indexed: 12/30/2022]
Abstract
Tumors release components such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and tumor-derived extracellular vesicles into the circulation. Multiple studies have demonstrated that molecular information about tumors and metastases can be extracted from these factors, which are therefore frequently referred to as "liquid biopsies." Liquid biopsies allow the longitudinal monitoring of tumor genomes non-invasively and may hence ensure that patients receive appropriate treatments that target the molecular features of their disease. Accordingly, the number of studies employing liquid biopsy based assays has been skyrocketing in the last few years. Here, we focus on three important issues, which are of high relevance for monitoring tumor genomes. First, we analyze the relation between the allele frequency of somatic tumor-specific mutations and the tumor fraction within plasma DNA. Second, we ask how well current tumor evolution models correlate with findings in longitudinal liquid biopsy studies. And, finally, as sensitivity is one of the key challenges of mutation detection, we address the challenge of detecting mutations occurring at very low allele frequencies in plasma DNA.
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Affiliation(s)
- Peter Ulz
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, Graz, A-8010, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, Graz, A-8010, Austria.,BioTechMed-Graz, Graz, Austria
| | - Jochen B Geigl
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, Graz, A-8010, Austria
| | - Michael R Speicher
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, Graz, A-8010, Austria.,BioTechMed-Graz, Graz, Austria
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47
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Abstract
Characterizing and monitoring tumor genomes with blood samples could achieve significant improvements in precision medicine. As tumors shed parts of themselves into the circulation, analyses of circulating tumor cells, circulating tumor DNA, and tumor-derived exosomes, often referred to as "liquid biopsies", may enable tumor genome characterization by minimally invasive means. Indeed, multiple studies have described how molecular information about parent tumors can be extracted from these components. Here, we briefly summarize current technologies and then elaborate on emerging novel concepts that may further propel the field. We address normal and detectable mutation levels in the context of our current knowledge regarding the gradual accumulation of mutations during aging and in light of technological limitations. Finally, we discuss whether liquid biopsies are ready to be used in routine clinical practice.
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Affiliation(s)
- Samantha Perakis
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, A-8010, Graz, Austria
| | - Michael R Speicher
- Institute of Human Genetics, Medical University of Graz, Harrachgasse 21/8, A-8010, Graz, Austria. .,BioTechMed, Graz, Austria.
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48
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Bankaitis K, Borriello L, Cox T, Lynch C, Zijlstra A, Fingleton B, Gužvić M, Anderson R, Neman J. Meeting report: Metastasis Research Society-Chinese Tumor Metastasis Society joint conference on metastasis. Clin Exp Metastasis 2017; 34:203-213. [PMID: 28260197 DOI: 10.1007/s10585-017-9842-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2017] [Accepted: 02/21/2017] [Indexed: 12/11/2022]
Abstract
During September 16th-20th 2016, metastasis experts from around the world convened for the 16th Biennial Congress of the Metastasis Research Society and 12th National Congress of the Chinese Tumor Metastasis Society in Chengdu, China to share most current data covering basic, translational, and clinical metastasis research. Presentations of the more than 40 invited speakers of the main congress and presentations from the associated Young Investigator Satellite Meeting are summarized in this report by session topic. The congress program also included three concurrent short talk sessions, an advocacy forum with Chinese and American metastatic patient advocates, a 'Meet the Professors Roundtable' session for young investigators, and a 'Meet the Editors' session with editors from Cancer Cell and Nature Cell Biology. The goal of integrating expertise and exchanging the latest findings, ideas, and practices in cancer metastasis research was achieved magnificently, thanks to the excellent contributions of many leaders in the field.
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Affiliation(s)
- Katherine Bankaitis
- Metastasis Research Society (MRS), 124 Hunters Ridge Rd, Chapel Hill, NC, 27517, USA.
| | - Lucia Borriello
- The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Thomas Cox
- Cancer Division, The Kinghorn Cancer Centre, The Garvan Institute of Medical Research, Sydney, Australia
| | - Conor Lynch
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Andries Zijlstra
- Vanderbilt University School of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Barbara Fingleton
- Vanderbilt University School of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Robin Anderson
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Grattan Street, Melbourne, VIC, Australia.,Department of Obstetrics and Gynaecology, University of Melbourne, Grattan Street, Melbourne, VIC, Australia
| | - Josh Neman
- Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
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49
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Circulating tumor cells and circulating tumor DNA: What surgical oncologists need to know? Eur J Surg Oncol 2017; 43:949-962. [PMID: 28185687 DOI: 10.1016/j.ejso.2017.01.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 01/10/2017] [Accepted: 01/15/2017] [Indexed: 12/13/2022] Open
Abstract
As a result of recent progress in detection techniques, circulating tumor DNA (ctDNA) and circulating tumor cells (CTC) can now be accurately detected in the blood of most cancer patients. While these new biomarkers can provide a better understanding of key biological mechanisms underlying cancer growth and dissemination, they also open up a wide range of possible clinical applications in medical oncology, radiation oncology and surgical oncology. In this review, we summarize the results obtained with ctDNA and CTC together with their potential future clinical applications in the field of surgical oncology, with particular focus on the perioperative setting of various types of cancer. These applications include, but are not limited to, cancer screening, early diagnosis, prognostic assessment, evaluation and management of preoperative systemic or local therapies, post-surgical detection of minimal residual disease and early detection of cancer relapse.
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50
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Circulating Cell Free Tumor DNA Detection as a Routine Tool forLung Cancer Patient Management. Int J Mol Sci 2017; 18:ijms18020264. [PMID: 28146051 PMCID: PMC5343800 DOI: 10.3390/ijms18020264] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 01/10/2017] [Accepted: 01/18/2017] [Indexed: 02/06/2023] Open
Abstract
Circulating tumoral DNA (ctDNA), commonly named “liquid biopsy”, has emerged as a new promising noninvasive tool to detect biomarker in several cancers including lung cancer. Applications involving molecular analysis of ctDNA in lung cancer have increased and encompass diagnosis, response to treatment, acquired resistance and prognosis prediction, while bypassing the problem of tumor heterogeneity. ctDNA may then help perform dynamic genetic surveillance in the era of precision medicine through indirect tumoral genomic information determination. The aims of this review were to examine the recent technical developments that allowed the detection of genetic alterations of ctDNA in lung cancer. Furthermore, we explored clinical applications in patients with lung cancer including treatment efficiency monitoring, acquired therapy resistance mechanisms and prognosis value.
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