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Davis JS, Chavez JC, Kok M, San Miguel Y, Lee HY, Henderson H, Overman MJ, Morris V, Kee B, Fogelman D, Advani SM, Johnson B, Parseghian C, Shen JP, Dasari A, Shaw KR, Vilar E, Raghav KP, Shureiqi I, Wolff RA, Meric-Bernstam F, Maru D, Menter DG, Kopetz S, Chang S. Association of Prediagnosis Obesity and Postdiagnosis Aspirin With Survival From Stage IV Colorectal Cancer. JAMA Netw Open 2022; 5:e2236357. [PMID: 36239938 PMCID: PMC9568800 DOI: 10.1001/jamanetworkopen.2022.36357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE The potential relationship between obesity and colorectal cancer (CRC) outcome is poorly understood in patients with late-stage disease. Increased body mass index may negate aspirin use for cancer prevention, but its role as a factor on the effectiveness of postdiagnosis aspirin use is unclear. OBJECTIVE To evaluate how prediagnosis obesity and postdiagnosis aspirin use may be associated with overall survival in patients with late-stage colorectal cancer. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used self-reported data from patients with metastatic or treatment-refractory disease who consented to a clinical protocol at MD Anderson Cancer Center, a large US cancer treatment center. Patients were enrolled between 2010 and 2018 and followed up for mortality through July 2020. Analyses were conducted through March 2022. EXPOSURES Body mass index in the decade prior to initial diagnosis and regular aspirin use at survey completion. MAIN OUTCOMES AND MEASURES Overall survival was measured from stage IV diagnosis until death or last follow-up. Cox proportional hazards models were constructed to estimate associations of prediagnosis obesity and postdiagnosis aspirin use with overall survival. RESULTS Of 656 patients included in this analysis, 280 (42.7%) were women, 135 (20.6%) were diagnosed with CRC before age 45 years, 414 (63.1%) were diagnosed between ages 45 and 65 years, and 107 (16.3%) were diagnosed at 65 years or older; 105 patients (16.0%) were Black or Hispanic, and 501 (76.4%) were non-Hispanic White. Controlling for age, sex, race, stage at initial diagnosis, and weight change between prediagnosis and survey date, patients with obesity in the decade prior to CRC diagnosis had significantly higher likelihood of death (hazard ratio, 1.45; 95% CI, 1.11-1.91) compared with those with normal prediagnosis body mass index. Furthermore, only patients with normal prediagnosis body mass index experienced significant survival benefit with postdiagnosis aspirin use (hazard ratio, 0.59; 95% CI, 0.39-0.90). CONCLUSIONS AND RELEVANCE In this cross-sectional study, our findings suggest potentially differential tumor development in the long-term physiologic host environment of obesity. Confirmation and further evaluation are needed to determine whether prediagnosis body mass index may be used to estimate the benefit from postdiagnosis aspirin use.
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Affiliation(s)
- Jennifer S. Davis
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Now with Department of Cancer Biology, University of Kansas Medical Center, Kansas City
| | - Janelle C. Chavez
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
- Now with Stanford University School of Medicine, Stanford, California
| | - Melissa Kok
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
- Now with Baylor College of Medicine, Houston, Texas
| | - Yazmin San Miguel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
- Now with Abbott Laboratories, Chicago, Illinois
| | - Hwa Young Lee
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
| | - Henry Henderson
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston
- Now with Foundation Medicine, Atlanta, Georgia
| | - Michael J. Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Van Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Bryan Kee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - David Fogelman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
- Now with Merck & Co, Philadelphia, Pennsylvania
| | - Shailesh M. Advani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
- Now with Terasaki Institute of Biomedical Innovation, Los Angeles, California
| | - Benny Johnson
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Christine Parseghian
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - John Paul Shen
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Arvind Dasari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Kenna R. Shaw
- Department of Sheikh Khalifa Nahyan Ben Zayed Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston
| | - Eduardo Vilar
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston
| | - Kanwal P. Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Imad Shureiqi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
- Now with Department of Cancer Biology, University of Michigan Medical School, Ann Arbor
| | - Robert A. Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston
| | - Dipen Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston
| | - David G. Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston
| | - Shine Chang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston
- Department of Cancer Prevention Research Training Program, The University of Texas MD Anderson Cancer Center, Houston
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2
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Advani SM, Swartz MD, Loree J, Davis JS, Sarsashek AM, Lam M, Lee MS, Bressler J, Lopez DS, Daniel CR, Morris V, Shureqi I, Kee B, Dasari A, Vilar E, Overman M, Hamilton S, Maru D, Braithwaite D, Kopetz S. Epidemiology and Molecular-Pathologic Characteristics of CpG Island Methylator Phenotype (CIMP) in Colorectal Cancer. Clin Colorectal Cancer 2021; 20:137-147.e1. [PMID: 33229221 DOI: 10.1016/j.clcc.2020.09.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) forms a distinct epigenetic phenotype in colorectal cancer (CRC). Though associated with distinct clinicopathologic characteristics, limited evidence exists of the association of CIMP with patient's reported lifestyle factors and tumor molecular characteristics. We assessed the associations of these characteristics in a pooled analysis of CRC patients. PATIENTS AND METHODS We pooled data from 3 CRC patient cohorts: Assessment of Targeted Therapies Against Colorectal Cancer (ATTACC), biomarker-based protocol (Integromics), and The Cancer Genome Atlas (TCGA). CIMP was measured using the classical 6-gene methylated-in-tumor (MINT) marker panel (MINT1, MINT2, MINT31, p14, p16, and MLH1) in ATTACC and genome-wide human methylation arrays in Integromics and TCGA, respectively. CIMP-High (CIMP-H) was defined as ≥ 3 of 6 methylated markers in ATTACC. In TCGA and Integromics, CIMP-H group was defined on the basis of clusters of methylation profiles and high levels of methylation in tumor samples. Baseline comparisons of characteristics across CIMP groups (CIMP-H vs. CIMP-0) were performed by Student t test or chi-square test for continuous or categorical variables, respectively. Further logistic regression analyses were performed to compute the odds ratio (OR) of these associations. RESULTS Pooled prevalence of CIMP-H was 22% across 3 data sets. CIMP-H CRC tumors were associated with older age at diagnosis (OR, 1.02; 95% confidence interval [CI], 1.01, 1.03), microsatellite instability-high (MSI-H) status (OR, 9.15; 95% CI, 4.45, 18.81), BRAF mutation (OR, 7.70; 95% CI, 4.98, 11.87), right-sided tumor location (OR, 2.40; 95% CI, 1.78, 3.22), poor differentiation (OR, 2.94; 95% CI, 1.95, 4.45), and mucinous histology (OR, 2.47; 95% CI, 1.77, 3.47), as reported previously in the literature. CIMP-H tumors were also found to be associated with self-reported history of alcohol consumption (OR, ever vs. never, 1.58; 95% CI, 1.07, 2.34). Pathologically, CIMP-H tumors were associated with the presence of intraepithelial lymphocytes (OR, 3.31; 95% CI, 1.41, 7.80) among patients in the Integromics cohort. CONCLUSION CIMP-H tumors were associated with history of alcohol consumption and presence of intraepithelial lymphocytes. In addition, we confirmed the previously known association of CIMP with age, MSI-H status, BRAF mutation, sidedness, and mucinous histology. Molecular pathologic epidemiology associations help us explore the underlying association of lifestyle and clinical factors with molecular subsets like CIMP and help guide cancer prevention and treatment strategies.
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Affiliation(s)
- Shailesh M Advani
- Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD; Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Oncology, Georgetown University School of Medicine, Washington, DC.
| | - Michael D Swartz
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX
| | - Jonathan Loree
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jennifer S Davis
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amir Mehvarz Sarsashek
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Lam
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Sangmin Lee
- Division of Gastrointestinal Oncology, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX
| | - David S Lopez
- Department of Preventive Medicine and Population Health, UTMB School of Medicine, Galveston, TX
| | - Carrie R Daniel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Van Morris
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Imad Shureqi
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bryan Kee
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Overman
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stanley Hamilton
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dipen Maru
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dejana Braithwaite
- Department of Oncology, Georgetown University School of Medicine, Washington, DC
| | - Scott Kopetz
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
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3
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Treatments after first progression in metastatic colorectal cancer. A literature review and evidence-based algorithm. Cancer Treat Rev 2020; 92:102135. [PMID: 33307331 DOI: 10.1016/j.ctrv.2020.102135] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/17/2020] [Accepted: 11/18/2020] [Indexed: 12/23/2022]
Abstract
Prolonging survival, achieving symptoms palliation and preserving quality of life are the primary therapeutic goals of treatments administered after disease progression in mCRC. Even if the impact of these therapies on the prognosis of affected patients is less relevant than the impact of the upfront treatment, tailoring the optimal second-line therapy is increasingly important. Several therapeutic options are available, and different factors including not only patient- and disease-related characteristics, but also the first-line treatment received (i.e., type, timing of disease progression, observed outcome and reported toxicities) may drive this choice. Herein, we describe the current state of the art in the landscape of treatments after progression in mCRC. Based on a critical review of the literature, we built a patient-oriented therapeutic algorithm, aiming to guide clinicians in their daily decision-making.
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4
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Morris JS, Luthra R, Liu Y, Duose DY, Lee W, Reddy NG, Windham J, Chen H, Tong Z, Zhang B, Wei W, Ganiraju M, Broom BM, Alvarez HA, Mejia A, Veeranki O, Routbort MJ, Morris VK, Overman MJ, Menter D, Katkhuda R, Wistuba II, Davis JS, Kopetz S, Maru DM. Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting. Clin Cancer Res 2020; 27:120-130. [PMID: 33109741 DOI: 10.1158/1078-0432.ccr-20-2403] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 09/28/2020] [Accepted: 10/23/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the colorectal cancer landscape. We developed and validated an assay that is applicable on formalin-fixed, paraffin-embedded (FFPE) samples of colorectal cancer and implemented the assay in a Clinical Laboratory Improvement Amendments (CLIA)-certified laboratory. EXPERIMENTAL DESIGN We performed an in silico experiment to build an optimal CMS classifier using a training set of 1,329 samples from 12 studies and validation set of 1,329 samples from 14 studies. We constructed an assay on the basis of NanoString CodeSets for the top 472 genes, and performed analyses on paired flash-frozen (FF)/FFPE samples from 175 colorectal cancers to adapt the classifier to FFPE samples using a subset of genes found to be concordant between FF and FFPE, tested the classifier's reproducibility and repeatability, and validated in a CLIA-certified laboratory. We assessed prognostic significance of CMS in 345 patients pooled across three clinical trials. RESULTS The best classifier was weighted support vector machine with high accuracy across platforms and gene lists (>0.95), and the 472-gene model outperforming existing classifiers. We constructed subsets of 99 and 200 genes with high FF/FFPE concordance, and adapted FFPE-based classifier that had strong classification accuracy (>80%) relative to "gold standard" CMS. The classifier was reproducible to sample type and RNA quality, and demonstrated poor prognosis for CMS1-3 and good prognosis for CMS2 in metastatic colorectal cancer (P < 0.001). CONCLUSIONS We developed and validated a colorectal cancer CMS assay that is ready for use in clinical trials, to assess prognosis in standard-of-care settings and explore as predictor of therapy response.
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Affiliation(s)
- Jeffrey S Morris
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania
| | - Rajyalakshmi Luthra
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yusha Liu
- Department of Biostatistics, University of Chicago School of Medicine, Chicago, Illinois
| | - Dzifa Y Duose
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wonyul Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Neelima G Reddy
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zhimin Tong
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Baili Zhang
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei Wei
- Cleveland Clinic Foundation, Cleveland, Ohio
| | - Manyam Ganiraju
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bradley M Broom
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hector A Alvarez
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alicia Mejia
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Omkara Veeranki
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mark J Routbort
- Division of Pathology and Laboratory Medicine, 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
| | - Michael J Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Riham Katkhuda
- Department of Pathology, University of Chicago Medical Center, Chicago, Illinois
| | - Ignacio I Wistuba
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jennifer S Davis
- Department of Epidemiology, 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
| | - Dipen M Maru
- Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Melas M, Subbiah S, Saadat S, Rajurkar S, McDonnell KJ. The Community Oncology and Academic Medical Center Alliance in the Age of Precision Medicine: Cancer Genetics and Genomics Considerations. J Clin Med 2020; 9:E2125. [PMID: 32640668 PMCID: PMC7408957 DOI: 10.3390/jcm9072125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 06/28/2020] [Accepted: 07/02/2020] [Indexed: 12/15/2022] Open
Abstract
Recent public policy, governmental regulatory and economic trends have motivated the establishment and deepening of community health and academic medical center alliances. Accordingly, community oncology practices now deliver a significant portion of their oncology care in association with academic cancer centers. In the age of precision medicine, this alliance has acquired critical importance; novel advances in nucleic acid sequencing, the generation and analysis of immense data sets, the changing clinical landscape of hereditary cancer predisposition and ongoing discovery of novel, targeted therapies challenge community-based oncologists to deliver molecularly-informed health care. The active engagement of community oncology practices with academic partners helps with meeting these challenges; community/academic alliances result in improved cancer patient care and provider efficacy. Here, we review the community oncology and academic medical center alliance. We examine how practitioners may leverage academic center precision medicine-based cancer genetics and genomics programs to advance their patients' needs. We highlight a number of project initiatives at the City of Hope Comprehensive Cancer Center that seek to optimize community oncology and academic cancer center precision medicine interactions.
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Affiliation(s)
- Marilena Melas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, OH 43205, USA;
| | - Shanmuga Subbiah
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Glendora, CA 91741, USA;
| | - Siamak Saadat
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Colton, CA 92324, USA;
| | - Swapnil Rajurkar
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Upland, CA 91786, USA;
| | - Kevin J. McDonnell
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA 91010, USA
- Center for Precision Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
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6
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Nunes L, Aasebø K, Mathot L, Ljungström V, Edqvist PH, Sundström M, Dragomir A, Pfeiffer P, Ameur A, Ponten F, Mezheyeuski A, Sorbye H, Sjöblom T, Glimelius B. Molecular characterization of a large unselected cohort of metastatic colorectal cancers in relation to primary tumor location, rare metastatic sites and prognosis. Acta Oncol 2020; 59:417-426. [PMID: 31924107 DOI: 10.1080/0284186x.2019.1711169] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: We have reported that BRAF V600E mutations and microsatellite instability-high (MSI-H) are more prevalent in a population-based cohort of metastatic colorectal cancer (mCRC) patients than has been reported from clinical trials or hospital-based patient groups. The aim was to explore if other mutations in mCRC differ in prevalence between these cohorts in relation to mismatch repair status and primary tumor location and if presence of bone or brain metastases is associated with any mutations.Material and methods: A population-based cohort of 798 mCRC patients from three regions in Scandinavia was used. Forty-four cancer related genes were investigated in a custom designed Ampliseq hotspot panel. Differences in survival were analyzed using the Kaplan-Meier estimator and the Cox regression analysis.Results: Determination of mutations was possible in 449/501 patients for 40/44 genes. Besides BRAF V600E, seen in 19% of the tumors, none of the other mutations appeared more prevalent than in trial cohorts. BRAF V600E and MSI-H, seen in 8%, were associated with poor prognosis as was right-sided primary tumor location (39%) when compared to left-sided and rectum together; however, in a multivariable regression, only the BRAF mutation retained its statistical significance. No other mutations were associated with poor prognosis. ERBB2 alterations were more common if bone metastases were present at diagnosis (17% vs. 4%, p = .011). No association was found for brain metastases. Fifty-two percent had an alteration that is treatable with an FDA-approved targeted therapy, chiefly by EGFR-inhibitor for RAS wild-type and a check-point inhibitor for MSI-H tumors.Conclusions: Right-sided tumor location, BRAF V600E mutations, but no other investigated mutation, and MSI-H are more commonly seen in an unselected cohort than is reported from clinical patient cohorts, likely because they indicate poor prognosis. Half of the patients have a tumor that is treatable with an already FDA-approved targeted drug for mCRC.
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Affiliation(s)
- Luís Nunes
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Kristine Aasebø
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Viktor Ljungström
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Per-Henrik Edqvist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Magnus Sundström
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anca Dragomir
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Department of Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Per Pfeiffer
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Adam Ameur
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Fredrik Ponten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Artur Mezheyeuski
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Halfdan Sorbye
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Tobias Sjöblom
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
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7
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Cheng Y, Fang XF, Hu HG, Wang J, Sun LF, Yuan Y. Successful treatment of metastatic colorectal cancer with synchronous BRAF V600E mutation and dMMR with BGB-A317. Immunotherapy 2020; 12:229-234. [PMID: 32172642 DOI: 10.2217/imt-2019-0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Metastatic colorectal cancer with BRAF mutation is a type of highly invasive malignant tumor with poor prognosis and few treatment options. Here, we report a case of a BRAF-mutant and DNA mismatch-repair deficiency colorectal cancer patient with postoperative recurrence as well as abdominal cavity and pelvic metastasis, whose condition was relieved continuously after treatment with a new anti-PD-1 antibody, BGB-A317.
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Affiliation(s)
- Yi Cheng
- Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
| | - Xue-Feng Fang
- Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
| | - Han-Guang Hu
- Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
| | - Jiang Wang
- Department of Colorectal Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
| | - Li-Feng Sun
- Department of Colorectal Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
| | - Ying Yuan
- Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China.,Cancer Institute (Key Laboratory of Cancer Prevention & Intervention, Chinese National Ministry of Education; Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang Province, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China
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8
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Raghav K, Loree JM, Morris JS, Overman MJ, Yu R, Meric-Bernstam F, Menter D, Korphaisarn K, Kee B, Muranyi A, Singh S, Routbort M, Chen K, Shaw KR, Katkhuda R, Shanmugam K, Maru D, Fakih M, Kopetz S. Validation of HER2 Amplification as a Predictive Biomarker for Anti–Epidermal Growth Factor Receptor Antibody Therapy in Metastatic Colorectal Cancer. JCO Precis Oncol 2019; 3:1-13. [DOI: 10.1200/po.18.00226] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose HER2 amplification has been implicated in resistance to therapy with anti–epidermal growth factor receptor antibodies (anti-EGFRabs) in metastatic colorectal cancer (mCRC). The purpose of the study was to validate the predictive impact of HER2 amplification in mCRC. Patients and Methods We analyzed patients with RAS/BRAF wild-type mCRC across two distinct cohorts. In cohort 1 (n = 98), HER2 amplification was tested in tumor tissue using dual in situ hybridization ( HER2 amplification: HER2/CEP17 ratio, 2.0 or greater). Cohort 2 (n = 70) included 16 patients with HER2 amplification and 54 HER2 nonamplified controls identified by next-generation sequencing ( HER2 amplification: four or more copies) who had received prior anti-EGFRabs. The primary end point was progression-free survival (PFS) on treatment with anti-EGFRab therapy, which was estimated and compared using the Kaplan-Meier method and log-rank test. Results Median PFS in cohort 1 on anti-EGFRab–based therapy was significantly shorter in patients with HER2 amplification compared with HER2 nonamplified patients (2.8 v 8.1 months, respectively; hazard ratio [HR], 7.05; 95% CI, 3.4 to 14.9; P < .001). These findings were validated in cohort 2 (median PFS for HER2 amplified v nonamplified: 2.8 v 9.3 months, respectively; HR, 10.66; 95% CI, 4.5 to 25.1; P < .001). The median PFS on therapy without anti-EGFRabs was similar among HER2-amplified and nonamplified patients in both cohort 1 (9.7 v 11.1 months, respectively; HR, 1.01; 95% CI, 0.4 to 2.4; P = .97) and cohort 2 (9.6 v 11.3 months, respectively; HR, 1.21; 95% CI, 0.5 to 3.1; P = .66). In multivariable analyses, HER2 amplification emerged as a single independent predictor of poor PFS on anti-EGFRab therapy in both cohort 1 (HR, 6.48; 95% CI, 3.1 to 13.6; P < .001) and cohort 2 (HR, 10.1; 95% CI, 4.3 to 23.9; P < .001). Conclusion HER2 amplification in RAS/RAF wild-type mCRC seems to be a predictive biomarker for lack of efficacy of anti-EGFRab therapy. Screening patients with RAS/BRAF wild-type mCRC for HER2 amplification should be considered before anti-EGFRab treatment to guide therapy and to identify patients for early referral to clinical trials.
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Affiliation(s)
- Kanwal Raghav
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Jonathan M. Loree
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Jeffrey S. Morris
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Michael J. Overman
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Ruoxi Yu
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Funda Meric-Bernstam
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - David Menter
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Krittiya Korphaisarn
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Brian Kee
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Andrea Muranyi
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Shalini Singh
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Mark Routbort
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Ken Chen
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Kenna R.M. Shaw
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Riham Katkhuda
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Kandavel Shanmugam
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Dipen Maru
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Marwan Fakih
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Scott Kopetz
- Kanwal Raghav, Jonathan M. Loree, Jeffrey S. Morris, Michael J. Overman, Ruoxi Yu, Funda Meric-Bernstam, David Menter, Krittiya Korphaisarn, Brian Kee, Mark Routbort, Ken Chen, Kenna R.M. Shaw, Riham Katkhuda, Dipen Maru, and Scott Kopetz, The University of Texas MD Anderson Cancer Center, Houston, TX; Andrea Muranyi, Shalini Singh, and Kandavel Shanmugam, Ventana Medical Systems, Tucson, AZ; and Marwan Fakih, City of Hope Comprehensive Cancer Center, Duarte, CA
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9
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Advani SM, Shi Q, Overman MJ, Loree JM, Lam M, Morris V, Shureiqi I, Kee B, Dasari A, Vilar E, Sarshekeh AM, Lin HK, Manuel S, Hamilton S, Raghav K, Maru D, Kopetz S, Wang XS. Patient-reported Symptom Outcomes and Microsatellite Instability in Patients With Metastatic Colorectal Cancer. Clin Colorectal Cancer 2019; 19:48-56.e2. [PMID: 32008976 DOI: 10.1016/j.clcc.2019.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 10/11/2019] [Accepted: 10/16/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND The survival of patients with metastatic colorectal cancer (mCRC) is influenced by the genetic and epigenetic changes that might influence the patient experience of symptom burden. Understanding the association of molecular changes with the symptom burden could help clinicians gain insight into the molecular basis of symptom burden and improve treatment tolerance. To date, no studies have compared the patient-reported symptom burden with these molecular subsets among patients with mCRC. PATIENTS AND METHODS We recruited patients with mCRC that was refractory to ≥ 1 line of therapy who had been enrolled in the Assessment of Targeted Therapies Against Colorectal Cancer trial at The University of Texas MD Anderson Cancer Center. All patients completed a baseline gastrointestinal symptom inventory (MD Anderson Symptom Inventory, gastrointestinal). The symptom burden across key demographic variables and molecular changes, including CRC-associated mutations, microsatellite instability (MSI) status, and the CpG island methylator phenotype (CIMP) were compared using χ2 tests. Association of the symptom burden with overall survival was examined using Cox regression models. RESULTS Patients with an MSI-high (MSI-H) phenotype reported greater pain (odds ratio [OR], 3.06; 95% confidence interval [CI], 1.61-5.84), fatigue (OR, 2.78; 95% CI, 1.41-5.49), sleep (OR, 2.52; 95% CI, 1.32-4.08); and drowsiness (OR, 2.51; 95% CI, 1.32-4.78) compared with microsatellite stable patients. Patients with an MSI-H phenotype also had greater odds of overall symptom burden (OR, 2.48; 95% CI, 1.29-4.74) compared with microsatellite stable patients. The CIMP-high patients experienced greater odds of pain compared with the CIMP-negative patients (OR, 1.72; 95% CI, 1.06-2.80). A greater overall symptom burden was associated with poor overall survival (hazard ratio, 1.42; 95% CI, 0.98-2.06]), although the difference was not significant (P = .06). CONCLUSION Correlation of MSI-H-associated tumor features with the symptom burden could help provide a better understanding of underlying mechanisms associated with our findings.
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Affiliation(s)
- Shailesh M Advani
- Social Epidemiology Research Unit, Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD; Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Quilling Shi
- Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael J Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jonathan M Loree
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Lam
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Van Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Imad Shureiqi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bryan Kee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Eduardo Vilar
- Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amir Mehrvarz Sarshekeh
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Huei K Lin
- Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shanequa Manuel
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stan Hamilton
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dipen Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xin Shelley Wang
- Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX.
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10
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Kastrisiou M, Zarkavelis G, Pentheroudakis G, Magklara A. Clinical Application of Next-Generation Sequencing as A Liquid Biopsy Technique in Advanced Colorectal Cancer: A Trick or A Treat? Cancers (Basel) 2019; 11:E1573. [PMID: 31623125 PMCID: PMC6826585 DOI: 10.3390/cancers11101573] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/01/2019] [Accepted: 10/13/2019] [Indexed: 12/24/2022] Open
Abstract
Owing to its advantages over prior relevant technologies, massive parallel or next-generation sequencing (NGS) is rapidly evolving, with growing applications in a wide range of human diseases. The burst in actionable molecular alterations in many cancer types advocates for the practicality of using NGS in the clinical setting, as it permits the parallel characterization of multiple genes in a cost- and time-effective way, starting from low-input DNA. In advanced clinical practice, the oncological management of colorectal cancer requires prior knowledge of KRAS, NRAS, and BRAF status, for the design of appropriate therapeutic strategies, with more gene mutations still surfacing as potential biomarkers. Tumor heterogeneity, as well as the need for serial gene profiling due to tumor evolution and the emergence of novel genetic alterations, have promoted the use of liquid biopsies-especially in the form of circulating tumor DNA (ctDNA)-as a promising alternative to tissue molecular analysis. This review discusses recent studies that have used plasma NGS in advanced colorectal cancer and summarizes the clinical applications, as well as the technical challenges involved in adopting this technique in a clinically beneficial oncological practice.
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Affiliation(s)
- Myrto Kastrisiou
- Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
- Department of Medical Oncology, University General Hospital of Ioannina, 45500 Ioannina, Greece.
- Society for Study of Clonal Heterogeneity of Neoplasia (EMEKEN), 45444 Ioannina, Greece.
| | - George Zarkavelis
- Department of Medical Oncology, University General Hospital of Ioannina, 45500 Ioannina, Greece.
- Society for Study of Clonal Heterogeneity of Neoplasia (EMEKEN), 45444 Ioannina, Greece.
| | - George Pentheroudakis
- Department of Medical Oncology, University General Hospital of Ioannina, 45500 Ioannina, Greece.
- Society for Study of Clonal Heterogeneity of Neoplasia (EMEKEN), 45444 Ioannina, Greece.
| | - Angeliki Magklara
- Laboratory of Clinical Chemistry, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece.
- Department of Biomedical Research, Institute of Molecular Biology & Biotechnology, Foundation for Research & Technology-Hellas, 45110 Ioannina, Greece.
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11
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Serna G, Ruiz-Pace F, Cecchi F, Fasani R, Jimenez J, Thyparambil S, Landolfi S, Elez E, Vivancos A, Hembrough T, Tabernero J, Dienstmann R, Nuciforo P. Targeted multiplex proteomics for molecular prescreening and biomarker discovery in metastatic colorectal cancer. Sci Rep 2019; 9:13568. [PMID: 31537838 PMCID: PMC6753065 DOI: 10.1038/s41598-019-49867-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/30/2019] [Indexed: 12/27/2022] Open
Abstract
Protein biomarkers are widely used in cancer diagnosis, prognosis, and prediction of treatment response. Here we introduce the use of targeted multiplex proteomics (TMP) as a tool to simultaneously measure a panel of 54 proteins involved in oncogenic, tumour suppression, drug metabolism and resistance, in patients with metastatic colorectal cancer (mCRC). TMP provided valuable diagnostic information by unmasking an occult neuroendocrine differentiation and identifying a misclassified case based on abnormal proteins phenotype. No significant differences in protein levels between unpaired primary and metastatic samples were observed. Four proteins were found differentially expressed in KRAS-mutant as compared to wild-type tumours (overexpressed in mutant: KRAS, EGFR; overexpressed in wild-type: TOPO1, TOP2A). Survival analyses revealed the association between mesothelin expression and poor overall survival, whereas lack of PTEN protein expression associated with lower progression-free survival with anti-EGFR-based therapy in the first-line setting for patients with RAS wild-type tumour. Finally, outlier analysis identified putative targetable proteins in 65% of patients lacking a targetable genomic alteration. Our data show that TMP constitutes a promising, novel molecular prescreening tool in mCRC to identify protein expression alterations that may impact on patient outcomes and more precisely guide patient eligibility to clinical trials with novel targeted experimental therapies.
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Affiliation(s)
- Garazi Serna
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Fiorella Ruiz-Pace
- Oncology Data Science Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Roberta Fasani
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Jose Jimenez
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Stefania Landolfi
- Pathology Department, Vall d'Hebron University Hospital, CIBERONC, Barcelona, Spain
| | - Elena Elez
- Medical Oncology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Ana Vivancos
- Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Josep Tabernero
- Medical Oncology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Rodrigo Dienstmann
- Oncology Data Science Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain.
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12
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Perreira TA, Perrier L, Prokopy M, Neves-Mera L, Persaud DD. Physician engagement: a concept analysis. J Healthc Leadersh 2019; 11:101-113. [PMID: 31440112 PMCID: PMC6666374 DOI: 10.2147/jhl.s214765] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 07/02/2019] [Indexed: 12/13/2022] Open
Abstract
The term "physician engagement" is used quite frequently, yet it remains poorly defined and measured. The aim of this study is to clarify the term "physician engagement." This study used an eight step-method for conducting concept analyses created by Walker and Avant. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched on February 14, 2019. No limitations were put on the searches with regard to year or language. Results identify that the term "physician engagement" is regular participation of physicians in (1) deciding how their work is done, (2) making suggestions for improvement, (3) goal setting, (4) planning, and (5) monitoring of their performance in activities targeted at the micro (patient), meso (organization), and/or macro (health system) levels. The antecedents of "physician engagement" include accountability, communication, incentives, interpersonal relations, and opportunity. The results include improved outcomes such as data quality, efficiency, innovation, job satisfaction, patient satisfaction, and performance. Defining physician engagement enables physicians and health care administrators to better appreciate and more accurately measure engagement and understand how to better engage physicians.
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Affiliation(s)
- Tyrone A Perreira
- Dalla Lana School of Public Health, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Legal, Policy and Professional Issues, Ontario Hospital Association, Toronto, Ontario, Canada
| | - Laure Perrier
- University of Toronto Libraries, University of Toronto, Toronto, Ontario, Canada
| | - Melissa Prokopy
- Legal, Policy and Professional Issues, Ontario Hospital Association, Toronto, Ontario, Canada
| | - Lina Neves-Mera
- Legal, Policy and Professional Issues, Ontario Hospital Association, Toronto, Ontario, Canada
| | - D David Persaud
- School of Health Administration at Dalhousie University, Dalhousie University, Halifax, Nova Scotia, Canada
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13
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Lee J, Kim ST, Kim K, Lee H, Kozarewa I, Mortimer PGS, Odegaard JI, Harrington EA, Lee J, Lee T, Oh SY, Kang JH, Kim JH, Kim Y, Ji JH, Kim YS, Lee KE, Kim J, Sohn TS, An JY, Choi MG, Lee JH, Bae JM, Kim S, Kim JJ, Min YW, Min BH, Kim NKD, Luke S, Kim YH, Hong JY, Park SH, Park JO, Park YS, Lim HY, Talasaz A, Hollingsworth SJ, Kim KM, Kang WK. Tumor Genomic Profiling Guides Patients with Metastatic Gastric Cancer to Targeted Treatment: The VIKTORY Umbrella Trial. Cancer Discov 2019; 9:1388-1405. [PMID: 31315834 DOI: 10.1158/2159-8290.cd-19-0442] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 07/02/2019] [Accepted: 07/12/2019] [Indexed: 12/24/2022]
Abstract
The VIKTORY (targeted agent eValuation In gastric cancer basket KORea) trial was designed to classify patients with metastatic gastric cancer based on clinical sequencing and focused on eight different biomarker groups (RAS aberration, TP53 mutation, PIK3CA mutation/amplification, MET amplification, MET overexpression, all negative, TSC2 deficient, or RICTOR amplification) to assign patients to one of the 10 associated clinical trials in second-line (2L) treatment. Capivasertib (AKT inhibitor), savolitinib (MET inhibitor), selumetinib (MEK inhibitor), adavosertib (WEE1 inhibitor), and vistusertib (TORC inhibitor) were tested with or without chemotherapy. Seven hundred seventy-two patients with gastric cancer were enrolled, and sequencing was successfully achieved in 715 patients (92.6%). When molecular screening was linked to seamless immediate access to parallel matched trials, 14.7% of patients received biomarker-assigned drug treatment. The biomarker-assigned treatment cohort had encouraging response rates and survival when compared with conventional 2L chemotherapy. Circulating tumor (ctDNA) analysis demonstrated good correlation between high MET copy number by ctDNA and response to savolitinib. SIGNIFICANCE: Prospective clinical sequencing revealed that baseline heterogeneity between tumor samples from different patients affected response to biomarker-selected therapies. VIKTORY is the first and largest platform study in gastric cancer and supports both the feasibility of tumor profiling and its clinical utility.This article is highlighted in the In This Issue feature, p. 1325.
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Affiliation(s)
- Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyuk Lee
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Iwanka Kozarewa
- Oncology Translational Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Peter G S Mortimer
- Clinical, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | | | - Elizabeth A Harrington
- Oncology Translational Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Juyoung Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Taehyang Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Yong Oh
- Dong-A University School of Medicine, Busan, Korea
| | - Jung-Hun Kang
- Department of Internal Medicine, College of Medicine, Gyeongsang National University, Jinju, Korea
| | - Jung Hoon Kim
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Youjin Kim
- Division of Hematology-Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Jun Ho Ji
- Division of Hematology-Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Young Saing Kim
- Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea
| | - Kyoung Eun Lee
- Division of Hematology-Oncology, Department of Internal Medicine, Ewha Womans University, Seoul, Korea
| | - Jinchul Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Tae Sung Sohn
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Yeong An
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Min-Gew Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jun Ho Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Moon Bae
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae J Kim
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yang Won Min
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Byung-Hoon Min
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Nayoung K D Kim
- Samsung Genome Institute, Seoul, Korea.,Clinical, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Sally Luke
- Oncology Translational Sciences, IMED Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Young Hwa Kim
- Clinical, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se Hoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joon Oh Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Suk Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Yeong Lim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | | | - Kyoung-Mee Kim
- Department of Pathology & Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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14
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Shi X, Duose DY, Mehrotra M, Harmon MA, Hu P, Wistuba II, Kopetz S, Luthra R. Non-invasive genotyping of metastatic colorectal cancer using circulating cell free DNA. Cancer Genet 2019; 237:82-89. [PMID: 31447070 DOI: 10.1016/j.cancergen.2019.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/03/2019] [Accepted: 06/09/2019] [Indexed: 02/07/2023]
Abstract
Circulating cell-free DNA (ccfDNA) in plasma provides an easily accessible source of circulating tumor DNA (ctDNA) for detecting actionable genomic alterations that can be used to guide colorectal cancer (CRC) treatment and surveillance. The goal of this study was to test the feasibility of using a traditional amplicon-based next-generation sequencing (NGS) on Ion Torrent platform to detect low-frequency alleles in ctDNA and compare it with a digital NGS assay specifically designed to detect low-frequency variants (as low as 0.1%) to provide evidence for the standard care of CRC. The study cohort consisted of 48 CRC patients for whom matched samples of formalin-fixed, paraffin-embedded tumor tissue, plasma, and peripheral blood mononuclear cells were available. DNA samples from different sources were sequenced on different platforms using commercial protocols. Our results demonstrate that the ccfDNA sequencing with the traditional NGS can be reliably used in an integrated workflow to detect low-frequency somatic variants in CRC. We found a high degree of concordance between traditional NGS and digital NGS in profiling mutant alleles in ccfDNA. These findings suggest that the traditional NGS is a viable alternative to digital sequencing of ccfDNA at allele frequency above 1%. ccfDNA sequencing can not only provide real-time monitoring of CRC, but also lay the basis for its application as a clinical diagnostic test to guide personalized therapy.
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Affiliation(s)
- Xuemei Shi
- Diagnostic Genetics, School of Health Professions, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Dzifa Y Duose
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas M.D. Anderson Cancer Center, 6565 MD Anderson Blvd., Houston, TX 77030, United States
| | - Meenakshi Mehrotra
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Michael A Harmon
- Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Peter Hu
- Diagnostic Genetics, School of Health Professions, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas M.D. Anderson Cancer Center, 6565 MD Anderson Blvd., Houston, TX 77030, United States
| | - Scott Kopetz
- Department of GI Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States
| | - Rajyalakshmi Luthra
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas M.D. Anderson Cancer Center, 6565 MD Anderson Blvd., Houston, TX 77030, United States; Department of Hematopathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
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15
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Chun YS, Passot G, Yamashita S, Nusrat M, Katsonis PP, Loree JM, Conrad C, Tzeng CWD, Xiao L, Aloia TA, Eng C, Kopetz SE, Lichtarge O, Vauthey JN. Deleterious Effect of RAS and Evolutionary High-risk TP53 Double Mutation in Colorectal Liver Metastases. Ann Surg 2019; 269:917-923. [PMID: 28767562 PMCID: PMC7462436 DOI: 10.1097/sla.0000000000002450] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess the impact of somatic gene mutations on survival among patients undergoing resection of colorectal liver metastases (CLM). BACKGROUND Patients undergoing CLM resection have heterogeneous outcomes, and accurate risk stratification is necessary to optimize patient selection for surgery. METHODS Next-generation sequencing of 50 cancer-related genes was performed from primary tumors and/or liver metastases in 401 patients undergoing CLM resection. Missense TP53 mutations were classified by the evolutionary action score (EAp53)-a novel approach that dichotomizes mutations as low or high risk. RESULTS The most frequent somatic gene mutations were TP53 (65.6%), followed by KRAS (48.1%) and APC (47.4%). Double mutation in RAS/TP53, identified in 31.4% of patients, was correlated with primary tumor location in the right colon (P = 0.006). On multivariable analysis, RAS/TP53 double mutation was an independent predictor of shorter overall survival (hazard ratio 2.62, 95% confidence interval 1.41-4.87, P = 0.002). In patients with co-mutated RAS, EAp53 high-risk mutations were associated with shorter 5-year overall survival of 12.2%, compared with 55.7% for TP53 wild type (P < 0.001). The negative prognostic effects of RAS and TP53 mutations were limited to tumors harboring mutations in both genes. CONCLUSIONS Concomitant RAS and TP53 mutations are associated with decreased survival after CLM resection. A high EAp53 predicts a subset of patients with worse prognosis. These preliminary analyses suggest that surgical resection of liver metastases should be carefully considered in this subset of patients.
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Affiliation(s)
- Yun Shin Chun
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Guillaume Passot
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Suguru Yamashita
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Maliha Nusrat
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Jonathan M. Loree
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Claudius Conrad
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ching-Wei D. Tzeng
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lianchun Xiao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Thomas A. Aloia
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Cathy Eng
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Scott E. Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Jean-Nicolas Vauthey
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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16
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Kopetz S, Mills Shaw KR, Lee JJ, Zhang J, Litzenburger B, Holla V, Kinyua W, Broaddus E, Daniels MS, Meric-Bernstam F, Broaddus RR. Use of a Targeted Exome Next-Generation Sequencing Panel Offers Therapeutic Opportunity and Clinical Benefit in a Subset of Patients With Advanced Cancers. JCO Precis Oncol 2019; 3:1800213. [PMID: 32914008 PMCID: PMC7446317 DOI: 10.1200/po.18.00213] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2018] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Smaller hotspot-based next-generation sequencing (NGS) panels have emerged to support standard of care therapy for patients with cancer. When standard treatments fail, it is unknown whether additional testing using an expanded panel of genes provides any benefit. The purpose of this study was to determine if larger sequencing panels that capture additional actionable genes, coupled with decision support, translates into treatment with matched therapy after frontline therapy has failed. PATIENTS AND METHODS A prospective protocol accrued 521 patients with a wide variety of refractory cancers. NGS testing using a 46- or 50-gene hotspot assay, then a 409-gene whole-exome assay, was sequentially performed in a Clinical Laboratory Improvement Amendments–certified clinical laboratory. A decision-support team annotated somatic alterations in clinically actionable genes for function and facilitated therapeutic matching. Survival and the impact of matched therapy use were determined by Kaplan-Meier estimate, log-rank test, and Cox proportional hazards regression. RESULTS The larger NGS panel identified at least one alteration in an actionable gene not previously identified in the smaller sequencing panel in 214 (41%) of 521 of enrolled patients. After the application of decision support, 41% of the alterations in actionable genes were considered to affect the function of the gene and were deemed actionable. Forty patients (40 of 214 [19%]) were subsequently treated with matched therapy. Treatment with matched therapy was associated with significantly improved overall survival compared with treatment with nonmatched therapy (P = .017). CONCLUSION Combining decision support with larger NGS panels that incorporate genes beyond those recommended in current treatment guidelines helped to identify patients who were eligible for matched therapy while improving overall treatment selection and survival. This survival benefit was restricted to a small subset of patients.
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Affiliation(s)
- Scott Kopetz
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - J Jack Lee
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jiexin Zhang
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Walter Kinyua
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Emily Broaddus
- University of Texas MD Anderson Cancer Center, Houston, TX
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17
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Sartore-Bianchi A, Amatu A, Bonazzina E, Stabile S, Giannetta L, Cerea G, Schiavetto I, Bencardino K, Funaioli C, Ricotta R, Cipani T, Schirru M, Gambi V, Palmeri L, Carlo-Stella G, Rusconi F, Di Bella S, Burrafato G, Cassingena A, Valtorta E, Lauricella C, Pazzi F, Gambaro A, Ghezzi S, Marrapese G, Tarenzi E, Veronese S, Truini M, Vanzulli A, Siena S. Pooled Analysis of Clinical Outcome of Patients with Chemorefractory Metastatic Colorectal Cancer Treated within Phase I/II Clinical Studies Based on Individual Biomarkers of Susceptibility: A Single-Institution Experience. Target Oncol 2018; 12:525-533. [PMID: 28669023 PMCID: PMC5524857 DOI: 10.1007/s11523-017-0505-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Patients with metastatic colorectal cancer (mCRC) refractory to standard therapies have a poor prognosis. In this setting, recruitment into clinical trials is warranted, and studies driven by selection according to individual tumor molecular characteristics are expected to provide added value. Objective We retrospectively analyzed data from patients with mCRC refractory to or following failure of standard therapies who were enrolled into phase I/II clinical studies at the Niguarda Cancer Center based on the presence of a specific molecular profile expected to represent the target of susceptibility to the experimental drug(s). Patients and Methods From June 2011 to May 2016, 2044 patients with mCRC underwent molecular screening. Eighty patients (3.9%) were enrolled in ad hoc studies; the median age was 60 years (range 36–86) and the median number of previous treatment lines was five (range 2–8). Molecular characteristics exploited within these studies were MGMT promoter hypermethylation (48.7%), HER2 amplification (28.8%), BRAFV600E mutation (20%), and novel gene fusions involving ALK or NTRK (2.5%). Results One patient (1%) had RECIST (Response Evaluation Criteria In Solid Tumors) complete response (CR), 13 patients (16.5%) experienced a partial response (PR), and 28 (35%) stable disease (SD). Median progression-free survival (PFS) was 2.8 months (range 2.63–3.83), with 24% of patients displaying PFS >5 months. Median growth modulation index (GMI) was 0.85 (range 0–15.61) and 32.5% of patients had GMI >1.33. KRAS exon 2 mutations were found in 38.5% of patients, and among the 78 patients with known KRAS status, those with wild-type tumors had longer PFS than those with mutated tumors (3.80 [95% CI 2.80–5.03] vs. 2.13 months [95% CI 1.77–2.87], respectively, p = 0.001). Median overall survival (OS) was 7.83 months (range 7.17–9.33) for all patients, and patients with KRAS wild-type tumors had longer OS than those with mutated tumors (7.83 [95% CI 7.33–10.80] vs. 7.18 months [95% CI 5.63–9.33], respectively, p = 0.06). Conclusions This single-institution retrospective study indicates that in a heavily pretreated population approximately 4% of mCRC tumors display a potential actionable molecular context suitable for therapeutic intervention. Application of molecular selection is challenging but improves clinical outcome even in later lines of treatment.![]()
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Affiliation(s)
- Andrea Sartore-Bianchi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Alessio Amatu
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Erica Bonazzina
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Stefano Stabile
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Laura Giannetta
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Giulio Cerea
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Ilaria Schiavetto
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Katia Bencardino
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Chiara Funaioli
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Riccardo Ricotta
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Tiziana Cipani
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Michele Schirru
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Valentina Gambi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Laura Palmeri
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Giulia Carlo-Stella
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Francesca Rusconi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Sara Di Bella
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Giovanni Burrafato
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Andrea Cassingena
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Emanuele Valtorta
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Calogero Lauricella
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Federica Pazzi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Alessandra Gambaro
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Silvia Ghezzi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Giovanna Marrapese
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Emiliana Tarenzi
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Silvio Veronese
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Mauro Truini
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy
| | - Angelo Vanzulli
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy.,Dipartimento di Oncologia e Emato-Oncologia, Università degli Studi di Milano, Milan, Italy
| | - Salvatore Siena
- Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, 3, 20162, Milan, Italy. .,Dipartimento di Oncologia e Emato-Oncologia, Università degli Studi di Milano, Milan, Italy.
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18
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Lam M, Loree JM, Pereira AAL, Chun YS, Kopetz S. Accelerating Therapeutic Development through Innovative Trial Design in Colorectal Cancer. Curr Treat Options Oncol 2018; 19:11. [PMID: 29488033 DOI: 10.1007/s11864-018-0524-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OPINION STATEMENT Current trial design is challenged by the advancement of technologies that have enabled deeper understanding of the molecular drivers of colorectal cancer (CRC). The speed of trial testing and the ability to test larger volumes of promising novel agents in the face of smaller populations identified by molecular profiling are challenges posed to clinical studies. Master protocols that utilize umbrella designs are equipped to deal with potential biomarker and matched treatments simultaneously. Although complex in nature, they increase trial efficiency by utilizing shared screening platforms, test multiple treatments together, and simplify regulatory submission and reporting under a common protocol. Emerging technologies such as circulating tumor DNA (ctDNA) may help speed up adjuvant trials. These studies have been traditionally slow to complete due to low event rates and the high numbers needed to recruit. ctDNA used as a surrogate for minimal residual disease (MRD) and as an early marker of relapse may help counter some of these factors that deter innovation in this setting. Finally, in the era of precision medicine, surgery should not be forgotten as the only potentially curative option to date in metastatic disease. Five-year overall survival following resection of liver metastasis exceeds what can be achieved with chemotherapy alone in selected cases. Surgical advances have lowered morbidity and allow for greater resection volumes and repeated interventions. Although historically challenging, a well-designed randomized surgical intervention trial would greatly facilitate moving single-institution guidelines reported by case series into wider clinical practice.
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Affiliation(s)
- Michael Lam
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard-Unit 0426, Houston, TX, 77030, USA
| | - Jonathan M Loree
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard-Unit 0426, Houston, TX, 77030, USA
| | - Allan Anderson Lima Pereira
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard-Unit 0426, Houston, TX, 77030, USA
| | - Yun Shin Chun
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard-Unit 0426, Houston, TX, 77030, USA.
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19
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Cohen R, Svrcek M, Duval A, Parc Y, Österlund PP, André T. Immune checkpoint inhibitors for patients with colorectal cancer: mismatch repair deficiency and perspectives. COLORECTAL CANCER 2017. [DOI: 10.2217/crc-2017-0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Harnessing the immune system to fight tumor cells is becoming a promising and innovative therapeutic strategy for a large spectrum of malignancies. The evaluation of immunotherapy in the context of colorectal cancers (CRCs) has brought to light mismatch repair deficiency as a major predictive biomarker for the efficacy of immune checkpoint blockade. In this review, we summarize the promising results of immune checkpoint inhibitors for patients with metastatic CRCs harboring mismatch repair deficiency, with special emphasis on further clinical development. Given the biological determinants of sensitivity to immune checkpoint blockade, we will also elucidate points that could unlock the potential of immunotherapy for patients with mismatch repair-proficient CRC.
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Affiliation(s)
- Romain Cohen
- Department of Medical Oncology, Hôpital Saint-Antoine, APHP, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- Sorbonne Universités, UPMC Univ., Paris 06, France
| | - Magali Svrcek
- INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- Sorbonne Universités, UPMC Univ., Paris 06, France
- Department of Pathology, Hôpital Saint-Antoine, APHP, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
| | - Alex Duval
- INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
| | - Yann Parc
- INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- Sorbonne Universités, UPMC Univ., Paris 06, France
- Department of Digestive Surgery, Hôpital Saint-Antoine, APHP, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
| | - Pia P Österlund
- Department of Oncology, Tampere University Hospital, Teiskontie 35, 33520 Tampere, Finland
| | - Thierry André
- Department of Medical Oncology, Hôpital Saint-Antoine, APHP, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, 184 rue du Faubourg Saint-Antoine, Paris 75012, France
- Sorbonne Universités, UPMC Univ., Paris 06, France
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20
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Hovelson DH, Liu CJ, Wang Y, Kang Q, Henderson J, Gursky A, Brockman S, Ramnath N, Krauss JC, Talpaz M, Kandarpa M, Chugh R, Tuck M, Herman K, Grasso CS, Quist MJ, Feng FY, Haakenson C, Langmore J, Kamberov E, Tesmer T, Husain H, Lonigro RJ, Robinson D, Smith DC, Alva AS, Hussain MH, Chinnaiyan AM, Tewari M, Mills RE, Morgan TM, Tomlins SA. Rapid, ultra low coverage copy number profiling of cell-free DNA as a precision oncology screening strategy. Oncotarget 2017; 8:89848-89866. [PMID: 29163793 PMCID: PMC5685714 DOI: 10.18632/oncotarget.21163] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 09/08/2017] [Indexed: 12/11/2022] Open
Abstract
Current cell-free DNA (cfDNA) next generation sequencing (NGS) precision oncology workflows are typically limited to targeted and/or disease-specific applications. In advanced cancer, disease burden and cfDNA tumor content are often elevated, yielding unique precision oncology opportunities. We sought to demonstrate the utility of a pan-cancer, rapid, inexpensive, whole genome NGS of cfDNA approach (PRINCe) as a precision oncology screening strategy via ultra-low coverage (~0.01x) tumor content determination through genome-wide copy number alteration (CNA) profiling. We applied PRINCe to a retrospective cohort of 124 cfDNA samples from 100 patients with advanced cancers, including 76 men with metastatic castration-resistant prostate cancer (mCRPC), enabling cfDNA tumor content approximation and actionable focal CNA detection, while facilitating concordance analyses between cfDNA and tissue-based NGS profiles and assessment of cfDNA alteration associations with mCRPC treatment outcomes. Therapeutically relevant focal CNAs were present in 42 (34%) cfDNA samples, including 36 of 93 (39%) mCRPC patient samples harboring AR amplification. PRINCe identified pre-treatment cfDNA CNA profiles facilitating disease monitoring. Combining PRINCe with routine targeted NGS of cfDNA enabled mutation and CNA assessment with coverages tuned to cfDNA tumor content. In mCRPC, genome-wide PRINCe cfDNA and matched tissue CNA profiles showed high concordance (median Pearson correlation = 0.87), and PRINCe detectable AR amplifications predicted reduced time on therapy, independent of therapy type (Kaplan-Meier log-rank test, chi-square = 24.9, p < 0.0001). Our screening approach enables robust, broadly applicable cfDNA-based precision oncology for patients with advanced cancer through scalable identification of therapeutically relevant CNAs and pre-/post-treatment genomic profiles, enabling cfDNA- or tissue-based precision oncology workflow optimization.
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Affiliation(s)
- Daniel H. Hovelson
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Chia-Jen Liu
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Yugang Wang
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Qing Kang
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - James Henderson
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Amy Gursky
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Scott Brockman
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Nithya Ramnath
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - John C. Krauss
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Moshe Talpaz
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Malathi Kandarpa
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Rashmi Chugh
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Missy Tuck
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Kirk Herman
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
| | - Catherine S. Grasso
- Division of Hematology-Oncology, University of California, Los Angeles and the Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
- The Parker Institute of Cancer Immunotherapy, San Francisco, CA, USA
| | - Michael J. Quist
- Division of Hematology-Oncology, University of California, Los Angeles and the Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
- The Parker Institute of Cancer Immunotherapy, San Francisco, CA, USA
| | - Felix Y. Feng
- Departments of Radiation Oncology, Urology, and Medicine, University of California at San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Hatim Husain
- Medical Oncology, University of California, San Diego Moore's Cancer Center, San Diego, CA, USA
| | - Robert J. Lonigro
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Dan Robinson
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - David C. Smith
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Ajjai S. Alva
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Maha H. Hussain
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
- Present address: Division of Hematology/Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
- Division of Hematology-Oncology, University of California, Los Angeles and the Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Muneesh Tewari
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Internal Medicine (Hematology/Oncology), University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Biomedical Engineering, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Biointerfaces Institute, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Ryan E. Mills
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Todd M. Morgan
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Scott A. Tomlins
- Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
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21
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Heong V, Syn NL, Lee XW, Sapari NS, Koh XQ, Adam Isa ZF, Sy Lim J, Lim D, Pang B, Thian YL, Ng LK, Wong AL, Soo RA, Yong WP, Chee CE, Lee SC, Goh BC, Soong R, Tan DSP. Value of a molecular screening program to support clinical trial enrollment in Asian cancer patients: The Integrated Molecular Analysis of Cancer (IMAC) Study. Int J Cancer 2017; 142:1890-1900. [PMID: 28994108 DOI: 10.1002/ijc.31091] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/15/2017] [Accepted: 09/27/2017] [Indexed: 02/01/2023]
Abstract
The value of precision oncology initiatives in Asian contexts remains unresolved. Here, we review the institutional implementation of prospective molecular screening to facilitate accrual of patients into biomarker-driven clinical trials, and to explore the mutational landscape of advanced tumors occurring in a prospective cohort of Asian patients (n = 396) with diverse cancer types. Next-generation sequencing (NGS) and routine clinicopathological assays, such as immunohistochemistry, copy number analysis and in situ hybridization tests, were performed on tumor samples. Actionable biomarker results were used to identify eligibility for early-phase, biomarker-driven clinical trials. Overall, NGS was successful in 365 of 396 patients (92%), achieving a mean depth of 1,943× and coverage uniformity of 96%. The median turnaround time from sample receipt to return of genomic results was 26.0 days (IQR, 19.0-39.0 days). Reportable mutations were found in 300 of 365 patients (82%). Ninety-one percent of patients at study enrollment indicated consent to receive incidental findings and willingness to undergo genetic counseling if required. The most commonly mutated oncogenes included KRAS (19%), PIK3CA (16%), EGFR (5%), BRAF (3%) and KIT (3%); while the most frequently mutated tumor suppressor genes included TP53 (40%), SMARCB1 (12%), APC (8%), PTEN (6%) and SMAD4 (5%). Among 23 patients enrolled in genotype-matched trials, median progression-free survival was 2.9 months (IQR, 1.5-4.0 months). Nine of 20 evaluable patients (45%; 95% CI, 23.1-68.5%) derived clinical benefit, including 3 partial responses and 6 with stable disease lasting ≥ 8 weeks.
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Affiliation(s)
- Valerie Heong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Nicholas L Syn
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Xiao Wen Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Nur Sabrina Sapari
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Xue Qing Koh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Zul Fazreen Adam Isa
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Joey Sy Lim
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Diana Lim
- Department of Pathology, Yong Loo Lin School of Medicine, National University Health System, Singapore.,Department of Pathology, National University Hospital, National University Health System, Singapore
| | - Brendan Pang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Pathology, Yong Loo Lin School of Medicine, National University Health System, Singapore.,Department of Pathology, National University Hospital, National University Health System, Singapore
| | - Yee Liang Thian
- Department of Diagnostic Imaging, National University Hospital, National University Health System, Singapore
| | - Lai Kuan Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Andrea L Wong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Ross Andrew Soo
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Wei Peng Yong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Cheng Ean Chee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Soo-Chin Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Boon-Cher Goh
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Richie Soong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Pathology, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - David S P Tan
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University Health System, Singapore
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22
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Kim ST, Kim KM, Kim NKD, Park JO, Ahn S, Yun JW, Kim KT, Park SH, Park PJ, Kim HC, Sohn TS, Choi DI, Cho JH, Heo JS, Kwon W, Lee H, Min BH, Hong SN, Park YS, Lim HY, Kang WK, Park WY, Lee J. Clinical Application of Targeted Deep Sequencing in Solid-Cancer Patients and Utility for Biomarker-Selected Clinical Trials. Oncologist 2017; 22:1169-1177. [PMID: 28701572 PMCID: PMC5634774 DOI: 10.1634/theoncologist.2017-0020] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 05/01/2017] [Indexed: 12/16/2022] Open
Abstract
Molecular profiling of actionable mutations in refractory cancer patients has the potential to enable "precision medicine," wherein individualized therapies are guided based on genomic profiling. The molecular-screening program was intended to route participants to different candidate drugs in trials based on clinical-sequencing reports. In this screening program, we used a custom target-enrichment panel consisting of cancer-related genes to interrogate single-nucleotide variants, insertions and deletions, copy number variants, and a subset of gene fusions. From August 2014 through April 2015, 654 patients consented to participate in the program at Samsung Medical Center. Of these patients, 588 passed the quality control process for the 381-gene cancer-panel test, and 418 patients were included in the final analysis as being eligible for any anticancer treatment (127 gastric cancer, 122 colorectal cancer, 62 pancreatic/biliary tract cancer, 67 sarcoma/other cancer, and 40 genitourinary cancer patients). Of the 418 patients, 55 (12%) harbored a biomarker that guided them to a biomarker-selected clinical trial, and 184 (44%) patients harbored at least one genomic alteration that was potentially targetable. This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase. IMPLICATIONS FOR PRACTICE This study demonstrated that the panel-based sequencing program resulted in an increased rate of trial enrollment of metastatic cancer patients into biomarker-selected clinical trials. Given the expanding list of biomarker-selected trials, the guidance percentage to matched trials is anticipated to increase.
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Affiliation(s)
- Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung-Mee Kim
- Division of Gasteroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Departments of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Nayoung K D Kim
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
| | - Joon Oh Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soomin Ahn
- Innovative Cancer Medicine Institute, Samsung Cancer Center, Seoul, Korea
- Departments of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae-Won Yun
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea
| | - Kyu-Tae Kim
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
| | - Se Hoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, Masachusetts, USA
| | - Hee Cheol Kim
- Departments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Tae Sung Sohn
- Departments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dong Il Choi
- Departments of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Ho Cho
- Departments of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jin Seok Heo
- Departments of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Wooil Kwon
- Biostatistics and Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyuk Lee
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea
| | - Byung-Hoon Min
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea
| | - Sung No Hong
- Innovative Cancer Medicine Institute, Samsung Cancer Center, Seoul, Korea
| | - Young Suk Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Yeong Lim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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23
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Pereira AAL, Morelli MP, Overman M, Kee B, Fogelman D, Vilar E, Shureiqi I, Raghav K, Eng C, Manuel S, Crosby S, Wolff RA, Banks K, Lanman R, Talasaz A, Kopetz S, Morris V. Clinical utility of circulating cell-free DNA in advanced colorectal cancer. PLoS One 2017; 12:e0183949. [PMID: 28850629 PMCID: PMC5574560 DOI: 10.1371/journal.pone.0183949] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 08/15/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Circulating cell-free DNA (cfDNA) isolated from the plasma of cancer patients (pts) has been shown to reflect the genomic mutation profile of the tumor. However, physician and patient assessment of clinical utility of these assays in patients with metastatic colorectal cancer (mCRC) has not been previously described. METHODS Patients were prospectively consented to a prospective genomic matching protocol (Assessment of Targeted Therapies Against Colorectal Cancer [ATTACC]), with collection of blood for cfDNA extraction and sequencing of a 54-gene panel in a CLIA-certified lab. Formalin-fixed, paraffin-embedded (FFPE) tissue from prior resections or biopsies underwent 50-gene sequencing. Results from both assays were returned to the treating physicians for patient care and clinical trial selection. Follow-up surveys of treating physicians and chart reviews assessed clinical utility. RESULTS 128 mCRC pts were enrolled between 6/2014 and 1/2015. Results were returned in median of 13 and 26 days for cfDNA and FFPE sequencing, respectively. With cfDNA sequencing, 78% (100/128) of samples had a detectable somatic genomic alteration. 50% of cfDNA cases had potentially actionable alterations, and 60% of these could be genomically matched to at least one clinical trial in our institution. 50% (15/30) of these pts enrolled onto an identified matched trial. Physicians reported that the cfDNA testing improved the quality of care they could provide in 73% of the cases, and that 89% of pts reported greater satisfaction with the efforts to personalize experimental therapeutic agents. CONCLUSIONS cfDNA sequencing can provide timely information on potentially actionable mutations and amplifications, thereby facilitating clinical trial enrollment and improving the perceived quality of care.
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Affiliation(s)
- Allan A. Lima Pereira
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Maria Pia Morelli
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Michael Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Bryan Kee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - David Fogelman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Imad Shureiqi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Cathy Eng
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Shanequa Manuel
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Shadarra Crosby
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Robert A. Wolff
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Kimberly Banks
- Guardant Health, Redwood City, California, United States of America
| | - Richard Lanman
- Guardant Health, Redwood City, California, United States of America
| | - AmirAli Talasaz
- Guardant Health, Redwood City, California, United States of America
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Van Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
- * E-mail:
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24
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Kourie HR, Awada G, Awada A. The second wave of immune checkpoint inhibitor tsunami: advance, challenges and perspectives. Immunotherapy 2017; 9:647-657. [DOI: 10.2217/imt-2017-0029] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
After the first wave of the tsunami of immune checkpoint inhibitors, 2016 was marked by the second wave, revealed by numerous US FDA approvals, publications and abstracts in relation with these drugs in different cancers and settings. First, we reported all new indications of anti-CTLA4, anti-programmed cell death protein 1 and anti-PDL1 approved by the FDA, the positive clinical trials published and the abstracts reported at important scientific meetings during 2016. Then, we highlighted the updates on debatable issues related to checkpoint inhibitors, since the first wave published in a previous issue. We focused on the predictive biomarkers, combination therapies, tumor response patterns and efficacy in particular settings and the side effect management. Finally, the impact of checkpoint inhibitors development on the care management of cancer centers will be discussed.
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Affiliation(s)
- Hampig Raphael Kourie
- Department of Oncology, Faculty of medicine, Saint Joseph University, Beirut, Lebanon
- Medical Oncology clinic, Jules Bordet Institute, Université Libre de Bruxelles, Brussels, Belgium
| | - Gil Awada
- Internal medicine, Vrije Universiteit, Brussels, Belgium
| | - Ahmad Awada
- Medical Oncology clinic, Jules Bordet Institute, Université Libre de Bruxelles, Brussels, Belgium
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25
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Loree JM, Kopetz S, Raghav KPS. Current companion diagnostics in advanced colorectal cancer; getting a bigger and better piece of the pie. J Gastrointest Oncol 2017; 8:199-212. [PMID: 28280626 PMCID: PMC5334060 DOI: 10.21037/jgo.2017.01.01] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 11/18/2016] [Indexed: 12/19/2022] Open
Abstract
While the treatment of colorectal cancer continues to rely heavily on conventional cytotoxic therapy, an increasing number of targeted agents are under development. Many of these treatments require companion diagnostic tests in order to define an appropriate population that will derive benefit. In addition, a growing number of biomarkers provide prognostic information about a patient's malignancy. As we learn more about these biomarkers and their assays, selecting the appropriate companion diagnostic becomes increasingly important. In the case of many biomarkers, there are numerous assays which could provide the same information to a treating physician, however each assay has strengths and weaknesses. Institutions must balance cost, assay sensitivity, turn-around time, and labor resources when selecting which assay to offer. In this review we will discuss the current state of companion diagnostics available in metastatic colorectal cancer and explore emerging biomarkers and their assays. We will focus on KRAS, BRAF, HER2, and PIK3CA testing, as well as microsatellite stability assessment and multigene panels.
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Affiliation(s)
- Jonathan M Loree
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kanwal P S Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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