Gene Expression Signatures Characterized by Longitudinal Stability and Interindividual Variability Delineate Baseline Phenotypic Groups with Distinct Responses to Immune Stimulation
Abstract Human immunity exhibits remarkable heterogeneity among individuals, which engenders variable responses to immune perturbations in human populations. Population studies reveal that, in addition to interindividual heterogeneity, systemic immune signatures display longitudinal stability within individuals, and these signatures may reliably dictate how given individuals respond to immune perturbations. We hypothesize that analyzing relationships among these signatures at the population level may uncover baseline immune phenotypes that correspond with response outcomes to immune stimuli. To test this, we quantified global gene expression in peripheral blood CD4+ cells from healthy individuals at baseline and following CD3/CD28 stimulation at two time points 1 mo apart. Systemic CD4+ cell baseline and poststimulation molecular immune response signatures (MIRS) were defined by identifying genes expressed at levels that were stable between time points within individuals and differential among individuals in each state. Iterative differential gene expression analyses between all possible phenotypic groupings of at least three individuals using the baseline and stimulated MIRS gene sets revealed shared baseline and response phenotypic groupings, indicating the baseline MIRS contained determinants of immune responsiveness. Furthermore, significant numbers of shared phenotype-defining sets of determinants were identified in baseline data across independent healthy cohorts. Combining the cohorts and repeating the analyses resulted in identification of over 6000 baseline immune phenotypic groups, implying that the MIRS concept may be useful in many immune perturbation contexts. These findings demonstrate that patterns in complex gene expression variability can be used to define immune phenotypes and discover determinants of immune responsiveness.
Pathways Impacted by Genomic Alterations in Pulmonary Carcinoid Tumors
SEEK and you may find cancer earlier Many cancers can be cured by surgery and/or systemic therapies when detected before they have metastasized. This clinical reality, coupled with the growing appreciation that cancer's rapid genetic evolution limits its response to drugs, have fueled interest in methodologies for earlier detection of the disease. Cohen et al. developed a noninvasive blood test, called CancerSEEK that can detect eight common human cancer types (see the Perspective by Kalinich and Haber). The test assesses eight circulating protein biomarkers and tumor-specific mutations in circulating DNA. In a study of 1000 patients previously diagnosed with cancer and 850 healthy control individuals, CancerSEEK detected cancer with a sensitivity of 69 to 98% (depending on cancer type) and 99% specificity. Science , this issue p. 926 ; see also p. 866
TARGETABLE FUSIONS OF THE FRK TYROSINE KINASE IN ALK‐NEGATIVE ANAPLASTIC LARGE CELL LYMPHOMA
Abstract Mutations in the EGFR gene or transcript fusion involving EML4-ALK result in oncogenic activation of these oncogenes driving lung adenocarcinoma growth in tumors carrying such an alteration. For lung adenocarcinoma with these genetic changes, small-molecule tyrosine kinase inhibitors have been highly effective at reducing tumor burden and improve the outcome of the patients. Unfortunately, drug resistance eventually develops in these tumors and challenges remain in controlling lung cancer recurrence after targeted therapy. To overcome recurrence, we initiated a prove-of-principle study to evaluate the feasibility of an integrated strategy utilizing genomic profiles of the tumor and patient-specific tumor xenografts derived (PDX) from biopsies for ex vivo evaluation of antitumor drugs to help guide personalized treatment of lung cancer in patients who have developed resistance to targeted therapy drugs. Our study has three main objectives. 1) Use tumor biopsies obtained at the time of recurrence for oncogene mutation and RNAseq analyses to identify molecular changes in oncogenes and gene pathways that can be potentially targeted. 2) Evaluate drug efficacy and optimize personalized therapy for each patient using PDX models. 3) Assess clinical feasibility and our experience using integrated approaches for lung cancer patients who failed targeted therapy. This study was approved by the Mayo Clinic Institutional Review Board (IRB) and utilizes both clinical and research biopsies. A dedicated nurse study coordinator reviews clinical patient list and history on weekly basis and informs the study team of each potential candidate patient. A total of 30 patients having ALK positive lung cancers have been identified and followed up from nearly 500 potentially ALK positive cases between April 2014 to Sept. 2015. Most patients were never smokers but six were former smokers and two were current smokers. Age at diagnoses ranged from 27-78 years (median = 61). Seven patients (23%) were 45 years or younger at the time of diagnosis. A total of 22 patients are currently being treated with crizotinib while eight are on ceritinib or alectinib. For each biopsy, tumor tissues are obtained using a 20 gauge needle, transferred on ice in preserving media and implanted within one hour into 6-8 week old NOD/SCID mice. Many patients have been on treatment for 2-3 years with stable disease so they do not require biopsy. Using a similar strategy, we also obtained biopsies from patients with EGFR gene mutations in their tumors and have progressed while on targeted therapy. A total of seven cases have been implanted. We will report our experiences in patient selection, clinical follow up, patient consent, PDX development, time from biopsy to tumor establishment, and the results of molecular analyses. Our study enabled us to gain new insights regarding the molecular changes associated with recurring tumors after they have failed targeted therapy as well as clinical experiences on how to utilize state-of-the art approaches and comprehensive genomic information to further improve cancer patient care upon disease progression. Acknowledgements: This work is supported in part by the Hillsberg Award from the National Foundation for Cancer Research and by the Biomarker Discovery Program at the Mayo Clinic Center for Individualized Medicine. Citation Format: Jin Jen, Aaron Mansfield, Patrick W. Eiken, Shawn Stoddard, Karlyn Pierson, Xiaonan Hou, Hong Zheng Ren, Julian Molina, Joanne Yi, Ping Yang. Integrated Approaches to Treating Lung Adenocarcinoma Resistant to Targeted Therapy. [abstract]. In: Proceedings of the AACR Special Conference: Patient-Derived Cancer Models: Present and Future Applications from Basic Science to the Clinic; Feb 11-14, 2016; New Orleans, LA. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(16_Suppl):Abstract nr B34.
Trinucleotide Repeat Expansion in the Transcription Factor 4 (
TCF4
) Gene Leads to Widespread mRNA Splicing Changes in Fuchs' Endothelial Corneal Dystrophy
Abstract Background: KRAS gene mutations are present in approximately 40% of colorectal adenocarcinomas and predict for nonresponse to the anti-epidermal growth factor receptor antibodies used in routine clinical practice. The most common activating mutations in this malignancy occur in codons 12 and 13 of exon 2. Determination of KRAS mutational status from tumor samples is an essential tool for managing patients with colorectal cancer (CRC) but requires tissue obtained by invasive percutaneous or surgical biopsies. Recent advances allow for the isolation and analysis of cell-free DNA (cfDNA) from the peripheral blood. A highly sensitive multiplex technology that uses low amounts of input DNA is needed to establish cfDNA as a liquid biopsy to personalize care. Methods: Digital droplet PCR (ddPCR) is a particularly sensitive method for detecting rare and low copy targets. Related work led to 7 individual assays, and to companion 4-plex and 3-plex assays, to accommodate the 7 common KRAS mutations and internal controls. A single 7-plex assay is favored to maximize efficiency and minimize cost. We optimized the RainDrop Digital PCR System to collectively detect the G12/G13 KRAS mutations, given that documentation of a mutation (not the specific mutation) is the factor of clinical relevance. Commercially available cell lines and genomic DNA aliquots were used as reference standards and for determinations of sensitivity and limit of blank (LOB). Initial clinical validation samples included tumor DNA derived from FFPE tissue (n = 10), cfDNA from healthy donors (n = 10), and cfDNA from metastatic CRC patients with tumors of known KRAS mutation status (n = 4). All assays were run in triplicate to confirm reproducibility. Results: Custom Taqman MGB probes were selected for KRAS wild type (WT), G12A, G12C, G12D, G12R, G12S, G12V, and G13D to allow for testing in a single reaction. LOB was 9 per 1×10(6) droplets on the basis of WT controls, including cfDNA samples from healthy donors. Evaluation of cell line DNA, genomic DNA aliquots, and FFPE samples demonstrates that the assay detects mutant KRAS with 100% accuracy and 0.1% mutant DNA in a total input of 10 ng WT/mutant DNA. With the clinical samples, concordant KRAS findings between cfDNA and tissue were obtained for two patients with WT tumors and one patient with a KRAS G12S mutant tumor. cfDNA analysis did not detect the G12V mutation identified in the colon primary of the other patient. Evaluation of additional clinical samples is in progress. Conclusions: Our 7-plex G12/G13 KRAS assay has excellent accuracy and is able to detect the KRAS mutations of interest at low (0.1%) mutation frequencies. Additional studies are being performed on prospectively collected plasma samples from patients with metastatic CRC of known KRAS mutation status. Large scale correlation between tumor mutation status and cfDNA findings will be performed to validate our assay for clinical implementation. Citation Format: Rajeswari Avula, Benjamin R. Kipp, Jesse S. Voss, Keegan E. Haselkorn, W. Edward Highsmith, Kevin C. Halling, Jeremy C. Jones, Steven R. Alberts, Michael B. Campion, Cassandra J. Nelson, Jin Jen, Eric D. Wieben, Julie M. Cunningham, Minetta C. Liu. Optimized 7-Plex cell-free DNA assay for clinically relevant KRAS mutations in colorectal cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 505.