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Fahrmann JF, Wasylishen AR, Pieterman CRC, Irajizad E, Vykoukal J, Wu R, Dennison JB, Peterson CB, Zhao H, Do KA, Halperin DM, Agarwal SK, Blau JE, Jha S, Rivero JD, Nilubol N, Walter MF, Welch JM, Weinstein LS, Vriens MR, van Leeuwaarde RS, van Treijen MJC, Valk GD, Perrier ND, Hanash SM, Katayama H. Blood-based Proteomic Signatures Associated With MEN1-related Duodenopancreatic Neuroendocrine Tumor Progression. J Clin Endocrinol Metab 2023; 108:3260-3271. [PMID: 37307230 PMCID: PMC11032251 DOI: 10.1210/clinem/dgad315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/16/2023] [Accepted: 05/30/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE Patients with multiple endocrine neoplasia type 1 (MEN1) are predisposed to develop duodenopancreatic neuroendocrine tumors (dpNETs), and metastatic dpNET is the primary cause of disease-related mortality. Presently, there is a paucity of prognostic factors that can reliably identify patients with MEN1-related dpNETS who are at high risk of distant metastasis. In the current study, we aimed to establish novel circulating molecular protein signatures associated with disease progression. EXPERIMENTAL DESIGN Mass spectrometry-based proteomic profiling was conducted on plasmas procured through an international collaboration between MD Anderson Cancer Center, the National Institutes of Health, and the University Medical Center Utrecht from a cohort of 56 patients with MEN1 [14 with distant metastasis dpNETs (cases) and 42 with either indolent dpNETs or no dpNETs (controls)]. Findings were compared to proteomic profiles generated from serially collected plasmas from a mouse model of Men1-pancreatic neuroendocrine tumors (Men1fl/flPdx1-CreTg) and control mice (Men1fl/fl). RESULTS A total of 187 proteins were found to be elevated in MEN1 patients with distant metastasis compared to controls, including 9 proteins previously associated with pancreatic cancer and other neuronal proteins. Analyses of mouse plasmas revealed 196 proteins enriched for transcriptional targets of oncogenic MYCN, YAP1, POU5F1, and SMAD that were associated with disease progression in Men1fl/flPdx1-CreTg mice. Cross-species intersection revealed 19 proteins positively associated with disease progression in both human patients and in Men1fl/flPdx1-CreTg mice. CONCLUSIONS Our integrated analyses identified novel circulating protein markers associated with disease progression in MEN1-related dpNET.
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Affiliation(s)
- Johannes F Fahrmann
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Amanda R Wasylishen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Carolina R C Pieterman
- Department of Surgical Oncology, Section of Surgical Endocrinology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht 3508 GA, the Netherlands
| | - Ehsan Irajizad
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jody Vykoukal
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ranran Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer B Dennison
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christine B Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hua Zhao
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Daniel M Halperin
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sunita K Agarwal
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jenny E Blau
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Smita Jha
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jaydira Del Rivero
- Developmental Therapeutics Branch, The National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Naris Nilubol
- Surgical Oncology Program, The National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mary F Walter
- Core for Clinical Laboratory Services, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - James M Welch
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lee S Weinstein
- Metabolic Diseases Branch, The National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Menno R Vriens
- Department of Surgical Oncology and Endocrine Surgery, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
| | - Rachel S van Leeuwaarde
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Mark J C van Treijen
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Gerlof D Valk
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute Amsterdam, University Medical Center Utrecht, Utrect 1066 CX, the Netherlands
- Department of Cancer Biology, University of Cincinnati, Cincinnati, OH 45267, USA
| | - Nancy D Perrier
- Department of Surgical Oncology, Section of Surgical Endocrinology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hiroyuki Katayama
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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2
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Huang L, Long JP, Irajizad E, Doecke JD, Do KA, Ha MJ. A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes. Bioinformatics 2023; 39:6989623. [PMID: 36648331 PMCID: PMC9879726 DOI: 10.1093/bioinformatics/btad023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 11/18/2022] [Accepted: 01/16/2023] [Indexed: 01/18/2023] Open
Abstract
MOTIVATION Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify the intermediate mechanisms by which a gene affects an outcome. However, existing methods lack a unified approach to handle various types of outcome variables, making them unsuitable for high-throughput molecular profiling data with highly interconnected variables. RESULTS We develop a general mediation analysis framework for proteogenomic data that include multiple exposures, multivariate mediators on various scales of effects as appropriate for continuous, binary and survival outcomes. Our estimation method avoids imposing constraints on model parameters such as the rare disease assumption, while accommodating multiple exposures and high-dimensional mediators. We compare our approach to other methods in extensive simulation studies at a range of sample sizes, disease prevalence and number of false mediators. Using kidney renal clear cell carcinoma proteogenomic data, we identify genes that are mediated by proteins and the underlying mechanisms on various survival outcomes that capture short- and long-term disease-specific clinical characteristics. AVAILABILITY AND IMPLEMENTATION Software is made available in an R package (https://github.com/longjp/mediateR). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Licai Huang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Ehsan Irajizad
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James D Doecke
- CSIRO, Royal Brisbane and Women’s Hospital, Brisbane, Australia
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Min Jin Ha
- To whom correspondence should be addressed.
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Sorokin AV, Kanikarla Marie P, Bitner L, Syed M, Woods M, Manyam G, Kwong LN, Johnson B, Morris VK, Jones P, Menter DG, Lee MS, Kopetz S. Targeting RAS Mutant Colorectal Cancer with Dual Inhibition of MEK and CDK4/6. Cancer Res 2022; 82:3335-3344. [PMID: 35913398 PMCID: PMC9478530 DOI: 10.1158/0008-5472.can-22-0198] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/20/2022] [Accepted: 07/26/2022] [Indexed: 01/07/2023]
Abstract
KRAS and NRAS mutations occur in 45% of colorectal cancers, with combined MAPK pathway and CDK4/6 inhibition identified as a potential therapeutic strategy. In the current study, this combinatorial treatment approach was evaluated in a co-clinical trial in patient-derived xenografts (PDX), and safety was established in a clinical trial of binimetinib and palbociclib in patients with metastatic colorectal cancer with RAS mutations. Across 18 PDX models undergoing dual inhibition of MEK and CDK4/6, 60% of tumors regressed, meeting the co-clinical trial primary endpoint. Prolonged duration of response occurred predominantly in TP53 wild-type models. Clinical evaluation of binimetinib and palbociclib in a safety lead-in confirmed safety and provided preliminary evidence of activity. Prolonged treatment in PDX models resulted in feedback activation of receptor tyrosine kinases and acquired resistance, which was reversed with a SHP2 inhibitor. These results highlight the clinical potential of this combination in colorectal cancer, along with the utility of PDX-based co-clinical trial platforms for drug development. SIGNIFICANCE This co-clinical trial of combined MEK-CDK4/6 inhibition in RAS mutant colorectal cancer demonstrates therapeutic efficacy in patient-derived xenografts and safety in patients, identifies biomarkers of response, and uncovers targetable mechanisms of resistance.
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Affiliation(s)
- Alexey V. Sorokin
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Preeti Kanikarla Marie
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lea Bitner
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Muddassir Syed
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Melanie Woods
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ganiraju Manyam
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lawrence N. Kwong
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Benny Johnson
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Van K. Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Philip Jones
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David G. Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael S. Lee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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4
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Hu C, Susswein LR, Roberts ME, Yang H, Marshall ML, Hiraki S, Berkofsky-Fessler W, Gupta S, Shen W, Dunn CA, Huang H, Na J, Domchek SM, Yadav S, Monteiro AN, Polley EC, Hart SN, Hruska KS, Couch FJ. Classification of BRCA2 Variants of Uncertain Significance (VUS) Using an ACMG/AMP Model Incorporating a Homology-Directed Repair (HDR) Functional Assay. Clin Cancer Res 2022; 28:3742-3751. [PMID: 35736817 PMCID: PMC9433957 DOI: 10.1158/1078-0432.ccr-22-0203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 05/03/2022] [Accepted: 06/20/2022] [Indexed: 01/09/2023]
Abstract
PURPOSE The identification of variants of uncertain significance (VUS) in the BRCA1 and BRCA2 genes by hereditary cancer testing poses great challenges for the clinical management of variant carriers. The ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology) variant classification framework, which incorporates multiple sources of evidence, has the potential to establish the clinical relevance of many VUS. We sought to classify the clinical relevance of 133 single-nucleotide substitution variants encoding missense variants in the DNA-binding domain (DBD) of BRCA2 by incorporating results from a validated functional assay into an ACMG/AMP-variant classification model from a hereditary cancer-testing laboratory. EXPERIMENTAL DESIGN The 133 selected VUS were evaluated using a validated homology-directed double-strand DNA break repair (HDR) functional assay. Results were combined with clinical and genetic data from variant carriers in a rules-based variant classification model for BRCA2. RESULTS Of 133 missense variants, 44 were designated as non-functional and 89 were designated as functional in the HDR assay. When combined with genetic and clinical information from a single diagnostic laboratory in an ACMG/AMP-variant classification framework, 66 variants previously classified by the diagnostic laboratory were correctly classified, and 62 of 67 VUS (92.5%) were reclassified as likely pathogenic (n = 22) or likely benign (n = 40). In total, 44 variants were classified as pathogenic/likely pathogenic, 84 as benign/likely benign, and 5 remained as VUS. CONCLUSIONS Incorporation of HDR functional analysis into an ACMG/AMP framework model substantially improves BRCA2 VUS re-classification and provides an important tool for determining the clinical relevance of individual BRCA2 VUS.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Wei Shen
- Mayo Clinic, Rochester, Minnesota
| | | | | | - Jie Na
- Mayo Clinic, Rochester, Minnesota
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5
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Menssen AJ, Khanna A, Miller CA, Nonavinkere Srivatsan S, Chang GS, Shao J, Robinson J, O'Laughlin M, Fronick CC, Fulton RS, Brendel K, Heath SE, Saba R, Welch JS, Spencer DH, Payton JE, Westervelt P, DiPersio JF, Link DC, Schuelke MJ, Jacoby MA, Duncavage EJ, Ley TJ, Walter MJ. Convergent Clonal Evolution of Signaling Gene Mutations Is a Hallmark of Myelodysplastic Syndrome Progression. Blood Cancer Discov 2022; 3:330-345. [PMID: 35709710 PMCID: PMC9338759 DOI: 10.1158/2643-3230.bcd-21-0155] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 02/21/2022] [Accepted: 05/06/2022] [Indexed: 12/17/2022] Open
Abstract
Progression from myelodysplastic syndromes (MDS) to secondary acute myeloid leukemia (AML) is associated with the acquisition and expansion of subclones. Our understanding of subclone evolution during progression, including the frequency and preferred order of gene mutation acquisition, remains incomplete. Sequencing of 43 paired MDS and secondary AML samples identified at least one signaling gene mutation in 44% of MDS and 60% of secondary AML samples, often below the level of standard sequencing detection. In addition, 19% of MDS and 47% of secondary AML patients harbored more than one signaling gene mutation, almost always in separate, coexisting subclones. Signaling gene mutations demonstrated diverse patterns of clonal evolution during disease progression, including acquisition, expansion, persistence, and loss of mutations, with multiple patterns often coexisting in the same patient. Multivariate analysis revealed that MDS patients who had a signaling gene mutation had a higher risk of AML progression, potentially providing a biomarker for progression. SIGNIFICANCE Subclone expansion is a hallmark of progression from MDS to secondary AML. Subclonal signaling gene mutations are common at MDS (often at low levels), show complex and convergent patterns of clonal evolution, and are associated with future progression to secondary AML. See related article by Guess et al., p. 316 (33). See related commentary by Romine and van Galen, p. 270. This article is highlighted in the In This Issue feature, p. 265.
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Affiliation(s)
- Andrew J. Menssen
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Ajay Khanna
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Christopher A. Miller
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Sridhar Nonavinkere Srivatsan
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Gue Su Chang
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri
| | - Jin Shao
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Joshua Robinson
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Michele O'Laughlin
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri
| | - Catrina C. Fronick
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri
| | - Robert S. Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri
| | - Kimberly Brendel
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Sharon E. Heath
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Raya Saba
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - John S. Welch
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - David H. Spencer
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Jacqueline E. Payton
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri
| | - Peter Westervelt
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - John F. DiPersio
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Daniel C. Link
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Matthew J. Schuelke
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Meagan A. Jacoby
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Eric J. Duncavage
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri
| | - Timothy J. Ley
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Matthew J. Walter
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
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Sharaf R, Pavlick DC, Frampton GM, Cooper M, Jenkins J, Danziger N, Haberberger J, Alexander BM, Cloughesy T, Yong WH, Liau LM, Nghiemphu PL, Ji M, Lai A, Ramkissoon SH, Albacker LA. FoundationOne CDx testing accurately determines whole arm 1p19q codeletion status in gliomas. Neurooncol Adv 2021; 3:vdab017. [PMID: 33778493 PMCID: PMC7986056 DOI: 10.1093/noajnl/vdab017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Molecular profiling of gliomas is vital to ensure diagnostic accuracy, inform prognosis, and identify clinical trial options for primary and recurrent tumors. This study aimed to determine the accuracy of reporting the whole arm 1p19q codeletion status from the FoundationOne platform. METHODS Testing was performed on glioma samples as part of clinical care and analyzed up to 395 cancer-associated genes (including IDH1/2). The whole arm 1p19q codeletion status was predicted from the same assay using a custom research-use only algorithm, which was validated using 463 glioma samples with available fluorescence in-situ hybridization (FISH) data. For 519 patients with available outcomes data, progression-free and overall survival were assessed based on whole arm 1p19q codeletion status derived from sequencing data. RESULTS Concordance between 1p19q status based on FISH and our algorithm was 96.7% (449/463) with a positive predictive value (PPV) of 100% and a positive percent agreement (PPA) of 91.0%. All discordant samples were positive for codeletion by FISH and harbored genomic alterations inconsistent with oligodendrogliomas. Median overall survival was 168 months for the IDH1/2 mutant, codeleted group, and 122 months for IDH1/2 mutant-only (hazard ratio (HR): 0.42; P < .05). CONCLUSIONS 1p19q codeletion status derived from FoundationOne testing is highly concordant with FISH results. Genomic profiling may be a reliable substitute for traditional FISH testing while also providing IDH1/2 status.
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Affiliation(s)
- Radwa Sharaf
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Dean C Pavlick
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Garrett M Frampton
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Maureen Cooper
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Jacqueline Jenkins
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Natalie Danziger
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - James Haberberger
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Brian M Alexander
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
| | - Timothy Cloughesy
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - William H Yong
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Linda M Liau
- Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Phioanh L Nghiemphu
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Matthew Ji
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Albert Lai
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Shakti H Ramkissoon
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
- Wake Forest Comprehensive Cancer Center and Department of Pathology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lee A Albacker
- Foundation Medicine, Inc., Cambridge, Massachusetts and Morrisville, North Carolina
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von Itzstein MS, Khan S, Gerber DE. Investigational Biomarkers for Checkpoint Inhibitor Immune-Related Adverse Event Prediction and Diagnosis. Clin Chem 2020; 66:779-793. [PMID: 32363387 PMCID: PMC7259479 DOI: 10.1093/clinchem/hvaa081] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 03/13/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of multiple cancers. However, these promising therapies may also cause immune-related adverse events (irAEs) in a substantial proportion of patients. These autoimmune phenomena may affect almost any organ system and may occur at almost any point in therapy. In some instances, these toxicities are life-threatening and potentially permanent. Diverse clinical presentation and unpredictable timing further complicate their anticipation and diagnosis. CONTENT To improve patient safety and selection for ICI use, biomarkers for irAE diagnosis and prediction are under development. Clinicians may use traditional laboratory markers such as routine chemistries, creatinine clearance, thyroid function tests, and serum cortisol/adrenocorticotrophic hormone to monitor for specific irAEs, but noted aberrations may not necessarily represent an immune-mediated etiology. Novel biomarkers have the potential to be more specific to assist in the diagnosis of irAEs. The prediction of irAEs is more challenging. Apart from a history of autoimmune disease, no other clinical parameters are routinely used to project risk. Biomarker candidates under investigation for irAE diagnosis and prediction include blood cell analysis, chemokines/cytokines, autoantibodies, and genetic predisposition, such as human leukocyte antigen haplotype. Among other emerging candidates are immune-cell subsets, T-cell repertoire, fecal microbiome, tumor genomics, and radiomic characterization. SUMMARY Several conventional laboratory indexes of end-organ dysfunction are currently in routine clinical use for irAE monitoring and diagnosis. Novel biomarkers for the prediction and diagnosis of these irAEs, which primarily characterize patient immune function, represent an area of active investigation.
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Affiliation(s)
- Mitchell S von Itzstein
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Shaheen Khan
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | - David E Gerber
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
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Barkeer S, Chugh S, Karmakar S, Kaushik G, Rauth S, Rachagani S, Batra SK, Ponnusamy MP. Novel role of O-glycosyltransferases GALNT3 and B3GNT3 in the self-renewal of pancreatic cancer stem cells. BMC Cancer 2018; 18:1157. [PMID: 30466404 PMCID: PMC6251200 DOI: 10.1186/s12885-018-5074-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 11/12/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Glycosylation plays a critical role in the aggressiveness of pancreatic cancer (PC). Emerging evidences indicate significant involvement of cancer stem cells (CSCs) in PC aggressiveness. However, the importance of glycosylation in pancreatic cancer stem cells (PCSCs) is yet to be addressed. Hence, we evaluated the potential role of glycosylation in maintenance of stemness of PCSCs. METHODS Effect of glycosylation specific inhibitors on growth and PCSCs of PC cells was assessed by MTT assay and Side Population (SP) analysis. Isolated PCSCs/SP were characterized using molecular and functional assays. Expression of tumor-associated carbohydrate antigens (TACAs) was analyzed in PCSCs by western blotting. Effect of tunicamycin on PCSCs was analyzed by tumorsphere, clonogenicity, migration assay and immunoblotting for CSCs markers. The differential expression of glycogenes in PCSCs compared to non-CSCs were determined by RT-qPCR, immunoblotting and immunofluorescence. Co-expression of GALNT3 and B3GNT3 with CD44v6 was assessed in progression stages of KrasG12D; Pdx-1-Cre (KC) and KrasG12D; p53R172H; Pdx-1-Cre (KPC) tumors by immunofluorescence. Transient and CRISPR/Cas9 silencing of GALNT3 and B3GNT3 was performed to examine their effect on CSCs maintenance. RESULTS Inhibition of glycosylation decreased growth and CSCs/SP in PC cells. PCSCs overexpressed CSC markers (CD44v6, ESA, SOX2, SOX9 and ABCG2), exhibited global expressional variation of TACAs and showed higher self-renewal potential. Specifically, N-glycosylation inhibition, significantly decreased tumorsphere formation, migration, and clonogenicity of PCSCs, as well as hypo-glycosylated CD44v6 and ESA. Of note, glycosyltransferases (GFs), GALNT3 and B3GNT3, were significantly overexpressed in PCSCs and co-expressed with CD44v6 at advanced PDAC stages in KC and KPC tumors. Further, GALNT3 and B3GNT3 knockdown led to a decrease in the expression of cell surface markers (CD44v6 and ESA) and self-renewal markers (SOX2 and OCT3/4) in PCSCs. Interestingly, CD44v6 was modified with sialyl Lewis a in PCSCs. Finally, CRISPR/Cas9-mediated GALNT3 KO significantly decreased self-renewal, clonogenicity, and migratory capacity in PCSCs. CONCLUSIONS Taken together, for the first time, our study showed the importance of glycosylation in mediating growth, stemness, and maintenance of PCSCs. These results indicate that elevated GALNT3 and B3GNT3 expression in PCSCs regulate stemness through modulating CSC markers.
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Affiliation(s)
- Srikanth Barkeer
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Seema Chugh
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Saswati Karmakar
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Garima Kaushik
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Sanchita Rauth
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Satyanarayana Rachagani
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
| | - Surinder K. Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198 USA
| | - Moorthy P. Ponnusamy
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198-5870 USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198 USA
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