André Constantin

Genetic Landscapes of Relapsed and Refractory Diffuse Large B-Cell Lymphomas

Purpose: Relapsed or refractory diffuse large B-cell lymphoma (rrDLBCL) is fatal in 90% of patients, and yet little is known about its biology. Experimental Design: Using exome sequencing, we characterized the mutation profiles of 38 rrDLBCL biopsies obtained at the time of progression after immunochemotherapy. To identify genes that may be associated with relapse, we compared the mutation frequency in samples obtained at relapse to an unrelated cohort of 138 diagnostic DLBCLs and separately amplified specific mutations in their matched diagnostic samples to identify clonal expansions. Results: On the basis of a higher frequency at relapse and evidence for clonal selection, TP53, FOXO1, MLL3 (KMT2C), CCND3, NFKBIZ, and STAT6 emerged as top candidate genes implicated in therapeutic resistance. We observed individual examples of clonal expansions affecting genes whose mutations had not been previously associated with DLBCL including two regulators of NF-κB: NFKBIE and NFKBIZ. We detected mutations that may be affect sensitivity to novel therapeutics, such as MYD88 and CD79B mutations, in 31% and 23% of patients with activated B-cell–type of rrDLBCL, respectively. We also identified recurrent STAT6 mutations affecting D419 in 36% of patients with the germinal center B (GCB) cell rrDLBCL. These were associated with activated JAK/STAT signaling, increased phospho-STAT6 protein expression and increased expression of STAT6 target genes. Conclusions: This work improves our understanding of therapeutic resistance in rrDLBCL and has identified novel therapeutic opportunities especially for the high-risk patients with GCB-type rrDLBCL. Clin Cancer Res; 22(9); 2290–300. ©2015 AACR.

Percutaneous US-guided renal biopsy: a retrospective study comparing the 16-gauge end-cut and 14-gauge side-notch needles.

PURPOSE Assess glomerular yield and safety profile of two different types of needles for percutaneous ultrasound-guided kidney biopsy. MATERIALS AND METHODS Over 24 months, 121 ultrasonographic ultrasound-guided renal biopsies were performed on native kidneys of 121 adults: 66 with 16-gauge, 29-mm end-cut (BioPince) needles and 55 with 14-gauge, 1.9-mm side-notch (Tru-Cut) needles. RESULTS The mean number of complete glomeruli harvested per biopsy was 21.0 and 19.3, respectively, and the mean number of core samples required to obtain a satisfactory biopsy was 1.8 and 2.6, respectively. The ratio of glomeruli harvested to core samples needed with the end-cut needle was 58% greater than that with the side-notch needles (11.7 vs 7.4, respectively; difference of 4.3; 95% confidence interval: 2.0, 6.8). Procedures performed with end-cut needles were associated with fewer major complications (1.5% vs 7.3% with side-notch needles). CONCLUSIONS Compared to the 14-g Tru-cut needle, the 16-g end-cut needle provided better glomerular yield per core sample, required fewer cores for satisfactory tissue specimen, and resulted in fewer major complications.

Next-generation biobanking of metastases to enable multidimensional molecular profiling in personalized medicine

Great advances in analytical technology coupled with accelerated new drug development and growing understanding of biological challenges, such as tumor heterogeneity, have required a change in the focus for biobanking. Most current banks contain samples of primary tumors, but linking molecular signatures to therapeutic questions requires serial biopsies in the setting of metastatic disease, next-generation of biobanking. Furthermore, an integration of multidimensional analysis of various molecular components, that is, RNA, DNA, methylome, microRNAome and post-translational modifications of the proteome, is necessary for a comprehensive view of a tumor’s biology. While data using such biopsies are now regularly presented, the preanalytical variables in tissue procurement and processing in multicenter studies are seldom detailed and therefore are difficult to duplicate or standardize across sites and across studies. In the context of a biopsy-driven clinical trial, we generated a detailed protocol that includes morphological evaluation and isolation of high-quality nucleic acids from small needle core biopsies obtained from liver metastases. The protocol supports stable shipping of samples to a central laboratory, where biopsies are subsequently embedded in support media. Designated pathologists must evaluate all biopsies for tumor content and macrodissection can be performed if necessary to meet our criteria of >60% neoplastic cells and <20% necrosis for genomic isolation. We validated our protocol in 40 patients who participated in a biopsy-driven study of therapeutic resistance in metastatic colorectal cancer. To ensure that our protocol was compatible with multiplex discovery platforms and that no component of the processing interfered with downstream enzymatic reactions, we performed array comparative genomic hybridization, methylation profiling, microRNA profiling, splicing variant analysis and gene expression profiling using genomic material isolated from liver biopsy cores. Our standard operating procedures for next-generation biobanking can be applied widely in multiple settings, including multicentered and international biopsy-driven trials.

Methods for Sample Acquisition and Processing of Serial Blood and Tumor Biopsies for Multicenter Diffuse Large B-cell Lymphoma Clinical Trials

Increasingly, targeted therapies are being developed to treat malignancies. To define targets, determine mechanisms of response and resistance, and develop biomarkers for the successful investigation of novel therapeutics, high-quality tumor biospecimens are critical. We have developed standard operating procedures (SOPs) to acquire and process serial blood and tumor biopsies from patients with diffuse large B-cell lymphoma enrolled in multicenter clinical trials. These SOPs allow for collection and processing of materials suitable for multiple downstream applications, including immunohistochemistry, cDNA microarrays, exome sequencing, and metabolomics. By standardizing these methods, we control preanalytic variables that ensure high reproducibility of results and facilitate the integration of datasets from such trials. This will facilitate translational research, better treatment selection, and more rapid and efficient development of new drugs. See all the articles in this CEBP Focus section, “Biomarkers, Biospecimens, and New Technologies in Molecular Epidemiology.” Cancer Epidemiol Biomarkers Prev; 23(12); 2688–93. ©2014 AACR.

Abstract LB-231: Genomic profiling in serial metastatic colorectal tumors identifies copy number alterations and spatio temporal intra-patient heterogeneity profiles associated with clinical response. Q-CROC-01: NCT00984048

Introduction: Colorectal cancer (CRC) is the third leading cause of cancer related deaths primarily due to its resistance to current treatments. Studies aiming at understanding mechanisms of resistance have largely investigated the genomic landscape of primary tumors at diagnosis. However, selective pressures during therapy can lead to the expansion of resistant clones and tumor heterogeneity. This highlights the need to characterize the molecular changes of metastasis over time of treatment and response to decipher tumor evolution and therapeutic resistance mechanisms. Methods: Metastatic liver tissue samples were collected at baseline (pre-biopsies) and at the time of resistance (post-biopsies) in responder and non-responder CRC patients undergoing the same first-line treatment. Paired pre/post biopsies were collected from 14 patients including 4 patients with multiple post-biopsies to assess temporal and spatio-temporal tumor heterogeneity following treatment exposure. Biopsies were profiled using exome and transcriptome sequencing as well as high-density Single-Nucleotide Polymorphism (SNP) array analysis to capture chromosomal anomalies, loss of heterozygosity and copy number (CN) variations. Results: Profiling of 45 samples with both high-density SNP array and exome sequencing revealed 97.4% similarity between both technologies in the identification of genes targeted by copy number changes. Using chemo-naive biopsies, we identified 120 CN gains and 47 CN loss that were significantly associated with patient progression free survival. Integrative analysis with transcriptome data revealed that only 10% of the genomic CN gains and 17% of the CN loss correlated with their gene expression levels. Based on CN variants comparison between paired pre/post treatment samples, we found high temporal intra-patient heterogeneity over time of treatment. Interestingly, we observed a relationship between heterogeneity and tumor response; showing that acquired resistant tumors have the highest temporal variations. Conclusion: This study, using a multi-omic approach to profile serial liver metastatic samples in CRC patients, highlights the genomic changes in tumor composition after treatment exposure and constitutes an innovative approach to identify clinical biomarkers and molecular signatures of resistance. Citation Format: Mathilde Couetoux du Tertre, Maud Marques, Karen Gambaro, Michael Witcher, Benoit Samson, Bernard Lesperance, Yoo-Joung Ko, Richard Dalfen, Eve St-Hilaire, Lucas Sideris, Felix Couture, Sabine Tejpar, Ronald Burkes, Mohammed Harb, Errol Camlioglu, Adrian Gologan, Vincent Pelsser, Andre Constantin, Suzan McNamara, Petr Kavan, Claudia Kleinman, Gerald Batist. Genomic profiling in serial metastatic colorectal tumors identifies copy number alterations and spatio temporal intra-patient heterogeneity profiles associated with clinical response. Q-CROC-01: NCT00984048 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-231.

Unexpected Success of Watch and Wait Strategy in a Ponatinib-Intolerant Patient With Chronic Myeloid Leukemia

Chronic myeloid leukemia is characterized by the translocation t(9;22)(q34;q11) and expression of BCR-ABL1, a dysregulated tyrosine kinase. Pharmacologic inhibition of this kinase enables effective disease control in most patients. However, best management of patients with chronic myeloid leukemia with highly resistant BCR-ABL1mutation and feasibility of tyrosine kinase inhibitor (TKI) cessation for prolonged treatment-free remission (TFR) in this setting is challenging. The case reportedhere illustrates anunexpected success of a forced watch and wait strategy.

Abstract 3888: Molecular profiling of sequential biopsies in patients with metastatic colorectal cancer identifies genomic alterations that evolve during first-line therapy and could have therapeutic implications: A prospective study to identify molecular mechanisms of clinical resistance (QCROC-01: NCT00984048).

Therapeutic resistance remains a major obstacle in metastatic colorectal cancer (mCRC) and biomarkers to guide treatment are essential to improving survival and quality of life in mCRC patients. A biopsy-driven prospective study was designed to identify biomarkers and mechanisms of resistance to a standard first-line therapy in patients with mCRC which could be useful in guiding treatment selection (QCROC-01; NCT00984048). We also hoped to recognize molecular changes over time, or resulting from the selection pressure of treatment, which could have implications for subsequent therapy. This study is ongoing and approved at thirteen sites with one-hundred patients enrolled so far. Patients with mCRC receiving FOLFOX (5-fluorouracil, leucovorin and oxaliplatin) with bevacizumab consented to three needle core tumour biopsies at pre-treatment and at the time of resistance. The rate of both patient and physician acceptance of biopsies has steadily risen with time and experience. Serial bloods were also collected for proteomic analysis and circulating tumor DNA. Twenty-five biopsy samples were profiled using exome sequencing (tumor and germ line), RNAseq, low pass genome sequencing and miRNA analysis. Differential gene expression analysis revealed signatures associated with clinical response and resistance when comparing tumours obtained pre- and post-treatment. We detect changes in variant allele fraction including both depletion and enrichment of individual somatic mutations over the course of treatment, the latter of which may indicate subclonal and acquired “driver” mutations that confer therapeutic resistance. A small number of genes show recurrent evidence for changes in clonal enrichment at the time of relapse across multiple patients. These could also represent therapeutic targets for subsequent therapy for these patients, and as such, represent new treatment opportunities. Our findings provide insights into tumor evolution during first-line chemotherapy of mCRC that may hold clues to optimize current first-line therapeutic decision making and identifies potential target pathways for second-line stratification of patients. This study is part of the Canadian Colorectal Cancer Consortium which is a multi-site collaboration funded by the Terry Fox Research Institute and le fonds de recherche du quebec - sante. Citation Format: Suzan McNamara, Ryan Morin, Mathilde Couetoux du Tertre, Rosemary McCloskey, Rebecca Johnston, Daniel Fornika, Benoit Samson, Bernard Lesperance, Thierry Alcindor, Yoo-Joung Ko, Richard Dalfen, Eve St-Hilaire, Lucas Sideris, Felix Couture, Hans Prenen, Sabine Tejpar, Ronald Burkes, Andre Constantin, Errol Camlioglu, Adriana Aguilar, Adrian Gologan, Benoit Tetu, Celia M. Greenwood, Cyrla Hoffert, Samia Qureshi, Zuanel Diaz, Maud Marques, Micheal Witcher, Therese Gagnon-Kugler, Petr Kavan, Gerald Batist. Molecular profiling of sequential biopsies in patients with metastatic colorectal cancer identifies genomic alterations that evolve during first-line therapy and could have therapeutic implications: A prospective study to identify molecular mechanisms of clinical resistance (QCROC-01: NCT00984048). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3888. doi:10.1158/1538-7445.AM2015-3888

Abstract B24: De novo and acquired resistance to first-line standard therapy in colorectal cancer: from cell lines to metastatic tumors

Introduction: Personalized medicine (PM) is a concept that has raised high expectations amongst scientists, clinicians, and patients. An emerging approach is to examine tumor biopsy material for genomic changes that are known targets of currently available therapeutic agents, with the assumption that a clinical benefit will be observed if the target is inhibited. While striking anecdotal reports are predictable from this approach, the clinical impact of these agents is limited by the inevitable development of therapeutic resistance. Our focus is on the design of parallel research programs using both in vitro and in vivo strategies, in an effort to delay or inhibit resistance. We present here preliminary data for a signature of resistance to standard first-line treatment - fluorouracil, folinic acid, oxaliplatin and bevacizumab (FOLFOX/B) using cell line models of resistance to this regimen. In parallel, we are conducting a prospective study to identify biomarkers of clinical resistance to first-line therapy in patients with metastatic colorectal cancer (CRC) (NCT00984048). Methods: Ten established CRC cell lines were treated with FOLFOX/B and categorized as resistant or sensitive based on IC50 values. In parallel, patients who consented to an initial biopsy and one at disease progression following an initial response were identified as intrinsically resistant or as having acquired resistance during treatment. CRC cell lines that were initially sensitive were rendered resistant to mimic the acquired resistance in patients, by serial passages with gradual increases in concentration of the combination regimen. We compared microarray data from three sensitive and three resistant cell lines. Results: We found a different expression pattern from microarray data comparing sensitive and resistant cell lines, thereby indicating a potential signature of resistance to FOLFOX/B. Interestingly, we found that the Src family kinase Lyn was overexpressed in resistant cells lines. Treating cells with non-cytotoxic concentration of dasatinib, a dual Src family kinase and Abl inhibitor, sensitized both the parental sensitive cells and the cells with acquired resistance to FOLFOX/B, thereby suggesting that combination treatment with dasatinib may be effective in delaying or inhibiting resistance. We have thus far collected needle core biopsies from liver metastases from forty patients who agreed to partake in this multi-center trial. Eligible patients have confirmed metastatic CRC, measurable disease, and consent to three needle-core biopsies (NCBs) of a non-resectable liver metastasis before treatment and at resistance, as well as serial blood collection throughout the study. Using standard operating procedures developed for this trial, we were able to both preserve morphology and obtain high-quality genomic material from biopsy tissue. We will determine if the resistance signature and overexpression of Lyn observed in the resistant CRC cell lines are similarly demonstrated in patients that were intrinsically resistant to FOLFOX/B. Conclusions: We have designed parallel in vitro and in vivo experiments to study resistance to standard first-line treatment for mCRC. These studies provide insight on metastatic signatures of resistance and suggest combination therapies to delay or inhibit therapeutic resistance in patients.

Abstract 5534: Building the organization framework for biopsy-driven translational research: The Quebec Clinical Research Organization in Cancer (Q-CROC) experience

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Introduction: The success of personalized medicine in oncology relies on translational research efforts to identify biomarkers that will influence clinical management. The discovery and validation of biomarkers is a concerted effort requiring an organizational framework that is often underestimated. The Quebec Clinical Research Organization in Cancer (Q-CROC) consortium is a multi-disciplinary and multi-institutional group of scientists and clinicians devoted to integrating and enhancing translational and clinical research capacity in Quebec. We describe here the organizational framework driving a multicenter, prospective study to identify biomarkers of clinical resistance to first-line therapy in metastatic colorectal cancer ([NCT00984048][1], Q-CROC-01). Results: The Q-CROC consortium has put in place an organizational infrastructure to support the activities and operations of its translational projects. We identified and addressed several critical issues during the course of the Q-CROC-01 translational project that were also common to our subsequent biomarker-driven trial in lymphoma (Q-CROC-02, [NCT01238692][2]) and breast cancer (Q-CROC-03, [NCT01276899][3]). Examples of these issues include: (i) feasibility and burden of tissue collection at participating sites, (ii) limiting pre-analytical variability in blood and tissue specimens for functional downstream applications, (iii) verification of tumor content on biopsy specimens, (iv) tracking sample flow, (v) integration of clinical data with discovery platforms, and (vi) engaging participation throughout all steps of the project. In part to address the above issues, we established five operational Cores: clinical, biobank, biospecimen processing, bioanalytical and bioinformatic. A further challenge was the integration between these Cores, who for the most part operated in silos. We observed that a critical element to unify all components of the consortium was a scientific project management team, consisting of dedicated individuals regularly interacting with each Core to ensure that objectives were aligned and deliverables were met. This academic framework for translational research may be comparable to that of multicenter clinical trials undertaken by industry, but some challenges, including financial and time constraints, data sharing and IP agreements, and engagement of its members, may be more palpable in the academic setting. Conclusion: Infrastructure science is underestimated and under-reported in translational cancer research and is crucial to the success of any large-scale biomarker discovery effort. Our experience with three multi-institutional biomarker-driven trials is that progress hinges upon the availability of an infrastructure that is not only the sum of its parts but that provides a concrete link between each component. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5534. doi:1538-7445.AM2012-5534 [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT00984048&atom=%2Fcanres%2F72%2F8_Supplement%2F5534.atom [2]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01238692&atom=%2Fcanres%2F72%2F8_Supplement%2F5534.atom [3]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01276899&atom=%2Fcanres%2F72%2F8_Supplement%2F5534.atom

Abstract 3389: Determining optimal conditions for collection and processing of metastatic liver biopsies collected for a multicenter, prospective study to identify biomarkers of clinical resistance to first-line therapy in metastatic colorectal cancer

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Introduction: The biomarker discovery process requires patient tissue samples from which histology is verified and high-quality genomic material is isolated. Several methods have been developed to either preserve tissue morphology or extract sufficient quality and quantity of RNA and DNA for downstream discovery efforts. As clinical trials incorporate patient biopsies for biomarker discovery or validation, it is becoming increasingly important to ensure quality material and identify methods that allow for preservation of morphology and stabilization of molecular content concurrently. We assessed, in liver needle-core biopsies, different sampling, fixation, and genomic isolation methods to maintain morphology and obtain high-quality genomic material for a multi-center prospective study to identify biomarkers of clinical resistance to first-line therapy in metastatic colorectal cancer. Four sampling methods (snap freezing, RNAlater, frozen RNAlater, formalin), two different fixation protocols for histological studies (10% formalin, RNAlater followed by OCT embedding and freezing) and two RNA isolation procedures (Triazol and AllprepDNA/RNA isolation) were evaluated. Results: Keeping in mind site feasibility, we report that the ideal condition to both preserve morphology and obtain high-quality genomic material of patient liver biopsy samples is to collect biopsies in RNAlater for shipping to a Central Pathology core, followed by washing with cold PBS (on dry ice) to permit proper RNA preservation during OCT embedding and cryostat sectioning for histological verification. Simultaneous extraction of DNA and RNA from the same biopsy core yields nucleic acids of optimal concentration and quality for downstream genomic applications. Conclusion: The collection of biospecimens using pre-determined protocol-specific standard operating procedures (SOPs) is essential to control for pre-analytical variability inherent to multicenter trials. Furthermore, histological control of percent tumor cells in each biopsy is absolutely necessary to ensure optimal representation of tumor (>70%) in the specimen. The above conditions were used in the multicenter Q-CROC-01 study ([NCT00984048][1]), where three needle core biopsies are collected from liver metastases of patients with colorectal cancer. One biopsy is collected in formalin and is set aside for downstream immunohistochemistry experiments. Two biopsies are collected in RNAlater and verified for histology. If they pass quality control, both DNA and RNA are isolated concurrently and sent to discovery platforms (DNA: array comparative genomic hybridization (aCGH), methylation profiles, RNA: gene expression profiles, RT-PCR, microRNA profiles, alternative splicing profiles). Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3389. doi:1538-7445.AM2012-3389 [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT00984048&atom=%2Fcanres%2F72%2F8_Supplement%2F3389.atom