Literature DB >> 27566249

Understanding the Precision in "Precision Medicine".

Bruce A Chabner1.   

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Year:  2016        PMID: 27566249      PMCID: PMC5016068          DOI: 10.1634/theoncologist.2016-0278

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


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Bruce A. Chabner, M.D. In this issue of , we begin a series of articles that consider the often problematic challenge of understanding and applying genomic information to the practice of oncology. Bardia et al. [1] describe the genomic findings from a patient with estrogen receptor (ER)-positive breast cancer after progression on hormonal therapy. In this case, tumor profiling revealed an ESR1 mutation that conferred constitutive receptor activation. The authors discuss the significance of this mutation within the spectrum of hormonal resistance and its implications for further therapy. The past decade has produced an explosion of such information about the mutations, translocations, and amplifications that drive tumor growth and promote drug resistance. Some of these changes can be exploited as targets for new therapies, and the list of “targeted agents” available to the practicing oncologist will soon surpass 100, as 15–20 new drugs are given marketing indications each year. Many cancer centers as well as industrial vendors offer tumor genomic platforms, and these results are increasingly available to oncologists in the community as well as those in academic practices. The use of such platforms is now routine for many metastatic epithelial tumors, such as lung, melanoma, colon, thyroid, prostate, and breast cancers. The interpretation of these results in some cases is relatively straightforward. A V600E BRAF genetic mutation in a patient with metastatic melanoma calls for a BRAF kinase inhibitor backbone, nowadays in combination with a MEK inhibitor [2], whereas an EML-4 ALK translocation in lung cancer is best treated with one of several approved ALK tyrosine kinase inhibitors [3]. However, for many patients with the same mutations in tumors of other histology, or for tumors having unusual genomic findings, the implications of these tests may not be obvious [4-6]. To understand genomic reports and make appropriate clinical decisions, the oncologist must understand the language of genomics, the techniques used to discover genomic variants, and the importance of test results. The best way to achieve this understanding is to use the case method. In our new series, led by Dr. Aditya Bardia, we will recruit papers from leading genomic centers to present interesting, teachable cases and interpret the molecular findings regarding implications for prognosis and therapy selection for a general oncologist. Underlying this new effort is this editor’s conviction that genomic medicine is neither totally precise nor completely rational at this point in its development; collective sharing of findings and experiences among institutions will help improve the precision of precision medicine. We increasingly understand that the drugs are not “precisely” targeted. We have learned that targeted agents have multiple sites of action and unanticipated side effects. New generations of drugs, such as the new series of PI3K and EGFR inhibitors, reduce side effects and narrow their spectrum of action. In addition, the multiplicity of mutations in a single tumor and clonal evolution of tumors at different metastatic sites lead to further imprecision in treatment planning. Analysis of circulating tumor cells and cell-free, circulating DNA may provide a more complete picture than a single biopsy [7, 8]. At the heart of our dilemma is the need to understand and plan for the rational treatment of cancer based on new technology and a more complete genomic profile, to maximize therapeutic efficacy while minimizing toxicity, and thus achieving one day a truly precise practice of oncology. To facilitate communication between practicing oncologists and laboratories, we have initiated this series; at the same time, we solicit our readers' comments and contributions to the goal of integrating genomics into the practice of cancer medicine.
  8 in total

1.  Prospective Validation of Rapid Plasma Genotyping for the Detection of EGFR and KRAS Mutations in Advanced Lung Cancer.

Authors:  Adrian G Sacher; Cloud Paweletz; Suzanne E Dahlberg; Ryan S Alden; Allison O'Connell; Nora Feeney; Stacy L Mach; Pasi A Jänne; Geoffrey R Oxnard
Journal:  JAMA Oncol       Date:  2016-08-01       Impact factor: 31.777

Review 2.  Re-Evaluating Progression in an Era of Progress: A Review of First- and Second-Line Treatment Options in Anaplastic Lymphoma Kinase-Positive Non-Small Cell Lung Cancer.

Authors:  Emily H Castellanos; Leora Horn
Journal:  Oncologist       Date:  2016-04-06

3.  Molecular Heterogeneity and Receptor Coamplification Drive Resistance to Targeted Therapy in MET-Amplified Esophagogastric Cancer.

Authors:  Eunice L Kwak; Leanne G Ahronian; Giulia Siravegna; Benedetta Mussolin; Darrell R Borger; Jason T Godfrey; Nicholas A Jessop; Jeffrey W Clark; Lawrence S Blaszkowsky; David P Ryan; Jochen K Lennerz; A John Iafrate; Alberto Bardelli; Theodore S Hong; Ryan B Corcoran
Journal:  Cancer Discov       Date:  2015-10-02       Impact factor: 39.397

4.  Intratumoral Heterogeneity in EGFR-Mutant NSCLC Results in Divergent Resistance Mechanisms in Response to EGFR Tyrosine Kinase Inhibition.

Authors:  Margaret Soucheray; Marzia Capelletti; Inés Pulido; Yanan Kuang; Cloud P Paweletz; Jeffrey H Becker; Eiki Kikuchi; Chunxiao Xu; Tarun B Patel; Fatima Al-Shahrour; Julián Carretero; Kwok-Kin Wong; Pasi A Jänne; Geoffrey I Shapiro; Takeshi Shimamura
Journal:  Cancer Res       Date:  2015-08-17       Impact factor: 12.701

5.  Overall Survival and Durable Responses in Patients With BRAF V600-Mutant Metastatic Melanoma Receiving Dabrafenib Combined With Trametinib.

Authors:  Georgina V Long; Jeffrey S Weber; Jeffrey R Infante; Kevin B Kim; Adil Daud; Rene Gonzalez; Jeffrey A Sosman; Omid Hamid; Lynn Schuchter; Jonathan Cebon; Richard F Kefford; Donald Lawrence; Ragini Kudchadkar; Howard A Burris; Gerald S Falchook; Alain Algazi; Karl Lewis; Igor Puzanov; Nageatte Ibrahim; Peng Sun; Elizabeth Cunningham; Amy S Kline; Heather Del Buono; Diane Opatt McDowell; Kiran Patel; Keith T Flaherty
Journal:  J Clin Oncol       Date:  2016-01-25       Impact factor: 44.544

6.  AZD9291 in EGFR inhibitor-resistant non-small-cell lung cancer.

Authors:  Pasi A Jänne; James Chih-Hsin Yang; Dong-Wan Kim; David Planchard; Yuichiro Ohe; Suresh S Ramalingam; Myung-Ju Ahn; Sang-We Kim; Wu-Chou Su; Leora Horn; Daniel Haggstrom; Enriqueta Felip; Joo-Hang Kim; Paul Frewer; Mireille Cantarini; Kathryn H Brown; Paul A Dickinson; Serban Ghiorghiu; Malcolm Ranson
Journal:  N Engl J Med       Date:  2015-04-30       Impact factor: 91.245

7.  A microfluidic device for label-free, physical capture of circulating tumor cell clusters.

Authors:  A Fatih Sarioglu; Nicola Aceto; Nikola Kojic; Maria C Donaldson; Mahnaz Zeinali; Bashar Hamza; Amanda Engstrom; Huili Zhu; Tilak K Sundaresan; David T Miyamoto; Xi Luo; Aditya Bardia; Ben S Wittner; Sridhar Ramaswamy; Toshi Shioda; David T Ting; Shannon L Stott; Ravi Kapur; Shyamala Maheswaran; Daniel A Haber; Mehmet Toner
Journal:  Nat Methods       Date:  2015-05-18       Impact factor: 28.547

8.  Metastatic Breast Cancer With ESR1 Mutation: Clinical Management Considerations From the Molecular and Precision Medicine (MAP) Tumor Board at Massachusetts General Hospital.

Authors:  Aditya Bardia; John A Iafrate; Tilak Sundaresan; Jerry Younger; Valentina Nardi
Journal:  Oncologist       Date:  2016-08-22
  8 in total

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