Jordan Madic
Curie Institute
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Featured researches published by Jordan Madic.
Molecular Oncology | 2015
Ronald Lebofsky; Charles Decraene; Virginie Bernard; Maud Kamal; Anthony Blin; Quentin Leroy; Thomas Rio Frio; Gaëlle Pierron; Céline Callens; Ivan Bièche; Adrien Saliou; Jordan Madic; Etienne Rouleau; François-Clément Bidard; Olivier Lantz; Marc-Henri Stern; Christophe Le Tourneau; Jean-Yves Pierga
Cell‐free tumor DNA (ctDNA) has the potential to enable non‐invasive diagnostic tests for personalized medicine in providing similar molecular information as that derived from invasive tumor biopsies. The histology‐independent phase II SHIVA trial matches patients with targeted therapeutics based on previous screening of multiple somatic mutations using metastatic biopsies. To evaluate the utility of ctDNA in this trial, as an ancillary study we performed de novo detection of somatic mutations using plasma DNA compared to metastasis biopsies in 34 patients covering 18 different tumor types, scanning 46 genes and more than 6800 COSMIC mutations with a multiplexed next‐generation sequencing panel. In 27 patients, 28 of 29 mutations identified in metastasis biopsies (97%) were detected in matched ctDNA. Among these 27 patients, one additional mutation was found in ctDNA only. In the seven other patients, mutation detection from metastasis biopsy failed due to inadequate biopsy material, but was successful in all plasma DNA samples providing three more potential actionable mutations. These results suggest that ctDNA analysis is a potential alternative and/or replacement to analyses using costly, harmful and lengthy tissue biopsies of metastasis, irrespective of cancer type and metastatic site, for multiplexed mutation detection in selecting personalized therapies based on the patients tumor genetic content.
International Journal of Cancer | 2015
Jordan Madic; Anna Kiialainen; François-Clément Bidard; Fabian Birzele; Guillemette Ramey; Quentin Leroy; Thomas Rio Frio; Isabelle Vaucher; Virginie Raynal; Virginie Bernard; Alban Lermine; Inga Clausen; Nicolas Giroud; Roland Schmucki; Maud Milder; Carsten Horn; Olivia Spleiss; Olivier Lantz; Marc-Henri Stern; Jean-Yves Pierga; Martin Weisser; Ronald Lebofsky
Circulating tumor DNA (ctDNA) is a new circulating tumor biomarker which might be used as a prognostic biomarker in a way similar to circulating tumor cells (CTCs). Here, we used the high prevalence of TP53 mutations in triple negative breast cancer (TNBC) to compare ctDNA and CTC detection rates and prognostic value in metastatic TNBC patients. Forty patients were enrolled before starting a new line of treatment. TP53 mutations were characterized in archived tumor tissues and in plasma DNA using two next generation sequencing (NGS) platforms in parallel. Archived tumor tissue was sequenced successfully for 31/40 patients. TP53 mutations were found in 26/31 (84%) of tumor samples. The same mutation was detected in the matched plasma of 21/26 (81%) patients with an additional mutation found only in the plasma for one patient. Mutated allele fractions ranged from 2 to 70% (median 5%). The observed correlation between the two NGS approaches (R2 = 0.903) suggested that ctDNA levels data were quantitative. Among the 27 patients with TP53 mutations, CTC count was ≥1 in 19 patients (70%) and ≥5 in 14 patients (52%). ctDNA levels had no prognostic impact on time to progression (TTP) or overall survival (OS), whereas CTC numbers were correlated with OS (p = 0.04) and marginally with TTP (p = 0.06). Performance status and elevated LDH also had significant prognostic impact. Here, absence of prognostic impact of baseline ctDNA level suggests that mechanisms of ctDNA release in metastatic TNBC may involve, beyond tumor burden, biological features that do not dramatically affect patient outcome.
International Journal of Cancer | 2014
François-Clément Bidard; Jordan Madic; Pascale Mariani; Sophie Piperno-Neumann; Aurore Rampanou; Vincent Servois; Nathalie Cassoux; Laurence Desjardins; Maud Milder; Isabelle Vaucher; Jean-Yves Pierga; Ronald Lebofsky; Marc-Henri Stern; Olivier Lantz
Circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) have been recently investigated in several cancer types, but their respective clinical significance remains to be determined. In our prospective study, we compared the detection rate and the prognostic value of these two circulating biomarkers in patients with metastatic uveal melanoma. GNAQ/GNA11 mutations were characterized in archived tumor tissue. Using a highly sensitive and mutation‐specific bidirectional pyrophosphorolysis‐activated polymerization (bi‐PAP) technique, GNAQ c.626A>T, GNAQ c.626A>C and GNA11 c.626A>T copy numbers were quantified in plasma from 12 mL of blood. CTCs were detected at the same time in 7.5 mL of blood by the CellSearch® technique. Patient characteristics and outcome were prospectively collected. CTCs (≥1) were detected in 12 of the 40 included patients (30%, range 1–20). Among the 26 patients with known detectable mutations, ctDNA was detected and quantified in 22 (84%, range 4–11,421 copies/mL). CTC count and ctDNA levels were associated with the presence of miliary hepatic metastasis (p = 0.004 and 0.03, respectively), with metastasis volume (p = 0.005 and 0.004) and with each other (p < 0.0001). CTC count and ctDNA levels were both strongly associated with progression‐free survival (p = 0.003 and 0.001) and overall survival (p = 0.0009 and <0.0001). In multivariate analyses, ctDNA appeared to be a better prognostic marker than CTC. In conclusion, ctDNA and CTC are correlated and both have poor prognostic significance. CTC detection can be performed in every patient but, in patients with detectable mutations, ctDNA was more frequently detected than CTC and has possibly more prognostic value.
Clinical Cancer Research | 2012
Jordan Madic; Sophie Piperno-Neumann; Vincent Servois; Aurore Rampanou; Maud Milder; Bénédicte Trouiller; David Gentien; Stéphanie Saada; Franck Assayag; Aurélie Thuleau; Fariba Nemati; Didier Decaudin; François-Clément Bidard; Laurence Desjardins; Pascale Mariani; Olivier Lantz; Marc-Henri Stern
Purpose: To develop a molecular tool to detect circulating tumor–derived DNA (ctDNA) in the plasma from patients with uveal melanoma as a marker of tumor burden and monitor treatment efficacy. Experimental Design: A real-time PCR was developed on the basis of bidirectional pyrophosphorolysis-activated polymerization (bi-PAP) for the quantification of ctDNA using 3′blocked primer pairs specific for the 3 recurrent mutually exclusive mutations of Gα subunits GNAQ and GNA11. Results: Sensitivity and specificity of bi-PAP were assessed on serial dilutions of tumor DNA in normal DNA for the 3 recurrent mutations. Each assay could detect a single mutated molecule per reaction, whereas 104 copies of normal DNA were not detected. The ctDNA was readily detected in plasma of mice bearing uveal melanoma xenografts in amounts proportional to circulating human DNA. Finally, plasma was almost always found positive (20 of 21 tested patients) in a prospective analysis of patients with metastatic uveal melanoma. Conclusions: Bi-PAP assays detect and quantify ctDNA in patients with metastatic uveal melanoma. A prospective study is ongoing to assess the clinical usefulness of ctDNA level in uveal melanoma. Clin Cancer Res; 18(14); 3934–41. ©2012 AACR.
Clinical Chemistry | 2017
Francesca Riva; François-Clément Bidard; Alexandre Houy; Adrien Saliou; Jordan Madic; Aurore Rampanou; Caroline Hego; Maud Milder; Paul Cottu; Marie-Paule Sablin; Anne Vincent-Salomon; Olivier Lantz; Marc-Henri Stern; Charlotte Proudhon; Jean-Yves Pierga
BACKGROUND In nonmetastatic triple-negative breast cancer (TNBC) patients, we investigated whether circulating tumor DNA (ctDNA) detection can reflect the tumor response to neoadjuvant chemotherapy (NCT) and detect minimal residual disease after surgery. METHODS Ten milliliters of plasma were collected at 4 time points: before NCT; after 1 cycle; before surgery; after surgery. Customized droplet digital PCR (ddPCR) assays were used to track tumor protein p53 (TP53) mutations previously characterized in tumor tissue by massively parallel sequencing (MPS). RESULTS Forty-six patients with nonmetastatic TNBC were enrolled. TP53 mutations were identified in 40 of them. Customized ddPCR probes were validated for 38 patients, with excellent correlation with MPS (r = 0.99), specificity (≥2 droplets/assay), and sensitivity (at least 0.1%). At baseline, ctDNA was detected in 27/36 patients (75%). Its detection was associated with mitotic index (P = 0.003), tumor grade (P = 0.003), and stage (P = 0.03). During treatment, we observed a drop of ctDNA levels in all patients but 1. No patient had detectable ctDNA after surgery. The patient with rising ctDNA levels experienced tumor progression during NCT. Pathological complete response (16/38 patients) was not correlated with ctDNA detection at any time point. ctDNA positivity after 1 cycle of NCT was correlated with shorter disease-free (P < 0.001) and overall (P = 0.006) survival. CONCLUSIONS Customized ctDNA detection by ddPCR achieved a 75% detection rate at baseline. During NCT, ctDNA levels decreased quickly and minimal residual disease was not detected after surgery. However, a slow decrease of ctDNA level during NCT was strongly associated with shorter survival.
PLOS ONE | 2017
Cecile Jovelet; Jordan Madic; Jordi Remon; Aurélie Honoré; Romain Girard; Etienne Rouleau; Barbara G. Andre; Benjamin Besse; Magali Droniou; Ludovic Lacroix
Over the past years, targeted therapies using tyrosine kinase inhibitors (TKI) have led to an increase in progression-free survival and response rate for a subgroup of non-small cell lung cancer (NSCLC) patients harbouring specific gene abnormalities compared with chemotherapy. However long-lasting tumor regression is rarely achieved, due to the development of resistant tumoral subclones, which requires alternative therapeutic approaches. Molecular profile at progressive disease is a challenge for making adaptive treatment decisions. The aim of this study was to monitor EGFR-mutant tumors over time based on the quantity of mutant DNA circulating in plasma (ctDNA), comparing two different methods, Crystal™ Digital™ PCR and Massive Parallel Sequencing (MPS). In plasma circulating cell free DNA (cfDNA) of 61 advanced NSCLC patients we found an overall correlation of 78% between mutated allelic fraction measured by Crystal Digital PCR and MPS. 7 additional samples with sensitizing mutations and 4 additional samples with the resistance mutation were detected with Crystal Digital PCR, but not with MPS. Monitoring levels of both mutation types over time showed a correlation between levels and trends of mutated ctDNA detected and clinical assessment of disease for the 6 patients tested. In conclusion, Crystal Digital PCR exhibited good performance for monitoring mutational status in plasma cfDNA, and also appeared as better suited to the detection of known mutations than MPS in terms of features such as time to results.
Haematologica | 2018
Yann Ferret; Nicolas Boissel; Nathalie Helevaut; Jordan Madic; Olivier Nibourel; Alice Marceau-Renaut; Maxime Bucci; Sandrine Geffroy; Karine Celli-Lebras; Sylvie Castaigne; Xavier Thomas; Christine Terré; Hervé Dombret; Claude Preudhomme; Aline Renneville
Assessment of minimal residual disease has emerged as a powerful prognostic factor in acute myeloid leukemia. In this study, we investigated the potential of IDH1/2 mutations as targets for minimal residual disease assessment in acute myeloid leukemia, since these mutations collectively occur in 15–20% of cases of acute myeloid leukemia and now represent druggable targets. We employed droplet digital polymerase chain reaction assays to quantify IDH1R132, IDH2R140, and IDH2R172 mutations on genomic DNA in 322 samples from 103 adult patients with primary IDH1/2 mutant acute myeloid leukemia and enrolled on Acute Leukemia French Association (ALFA) - 0701 or -0702 clinical trials. The median IDH1/2 mutant allele fraction in bone marrow samples was 42.3% (range, 8.2 – 49.9%) at diagnosis of acute myeloid leukemia, and below the detection limit of 0.2% (range, <0.2 – 39.3%) in complete remission after induction therapy. In univariate analysis, the presence of a normal karyotype, a NPM1 mutation, and an IDH1/2 mutant allele fraction <0.2% in bone marrow after induction therapy were statistically significant predictors of longer disease-free survival. In multivariate analysis, these three variables remained significantly predictive of disease-free survival. In 7/103 (7%) patients, IDH1/2 mutations persisted at high levels in complete remission, consistent with the presence of an IDH1/2 mutation in pre-leukemic hematopoietic stem cells. Five out of these seven patients subsequently relapsed or progressed toward myelodysplastic syndrome, suggesting that patients carrying the IDH1/2 mutation in a pre-leukemic clone may be at high risk of hematologic evolution.
Cancer Research | 2015
Jean-Yves Pierga; Charles Decraene; Virginie Bernard; Maud Kamal; Anthony Blin; Quentin Leroy; Thomas Rio Frio; Gaëlle Pierron; Céline Callens; Ivan Bièche; Adrien Saliou; Jordan Madic; Etienne Rouleau; François-Clément Bidard; Olivier Lantz; Marc-Henri Stern; Ronald Lebofsky; Christophe Le Tourneau
Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA Rationale: The noninvasive biomarker circulating cell-free tumor DNA (ctDNA) has the potential to enable noninvasive diagnostic tests for personalized medicine in providing similar molecular information as that derived from invasive tumor biopsies. The ongoing large multicentric randomized histology-independent phase II trial (SHIVA, [NCT01771458][1]) compares molecularly targeted therapy based on tumor molecular profiling versus conventional therapy in patients with any type of refractory cancer. The screening phase consists of the invasive biopsy of metastatic tumor tissue and downstream analysis using Ion Torrents Ampliseq hotspot cancer panel. We evaluated whether ctDNA analysis would identify the same mutations as those obtained through invasive biopsy. Patients and methods: de novo detection of somatic mutations using ctDNA in 34 patients covering 18 different tumor types, scanning ∼50 genes and more than 2500 mutations with a multiplexed next generation sequencing panel. Results: In 27 patients, 27 of 28 actionable mutations identified in metastasis biopsies (96%) were detected in matched ctDNA. Among these 27 patients, two additional mutations were found in ctDNA only. In the seven other patients, mutation detection from metastasis biopsy failed due to inadequate biopsy material, but was successful in all plasma DNA samples providing three more potential actionable mutations. Conclusion; These results suggest that ctDNA analysis is a cheaper, safer and quicker alternative to invasive biopsy of metastasis, irrespective of cancer type and metastatic site, for multiplexed mutation detection in selecting personalized therapies based on the patients tumor genetic content. Citation Format: Jean-Yves Pierga, Charles Decraene, Virginie Bernard, Maud Kamal, Anthony Blin, Quentin Leroy, Thomas Rio Frio, Gaelle Pierron, Celine Callens, Ivan Bieche, Adrien Saliou, Jordan Madic, Etienne Rouleau, Francois-Clement Bidard, Olivier Lantz, Marc-Henri Stern, Ronald Lebofsky, Christophe Le Tourneau. Circulating tumor DNA as a non-invasive substitute to metastasis biopsy for targeted sequencing in a prospective randomized trial for personalized treatment in all tumor type: The SHIVA study. [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 2400. doi:10.1158/1538-7445.AM2015-2400 [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT01771458&atom=%2Fcanres%2F75%2F15_Supplement%2F2400.atom
Cancer Research | 2015
François-Clément Bidard; Jordan Madic; Anna Kiialainen; Fabian Birzele; Guillemette Ramey; Quentin Leroy; Thomas Rio Frio; Virginie Raynal; Virginie Bernard; Alban Lermine; Inga Clausen; Nicolas Giroud; Roland Schmucki; Carsten Horn; Olivia Spleiss; Olivier Lantz; Marc-Henri Stern; Martin Weisser; Ronald Lebofsky; Jean-Yves Pierga
Background Preliminary reports suggested that circulating tumor DNA (ctDNA) can be used as a prognostic marker in a way akin to circulating tumor cells (CTC) in metastatic breast cancer patients. However ctDNA detection is often performed on multiple mutations, combining heterogeneous techniques. Here we used the high prevalence of TP53 mutations in triple-negative metastatic breast cancer (TNMBC) to compare CTC and ctDNA detection rates and prognostic value. Methods A cohort of 40 patients treated at the Institut Curie (Paris, France) was enrolled before starting a new line of treatment for TNMBC. CTC were detected by the CellSearch system (in 7.5 mL of blood). Using massively parallel sequencing (NGS), TP53 mutations were first characterized in tumor tissue, then in plasma DNA extracted from fresh frozen plasma samples (from 15-20 mL of blood). ctDNA detection was performed using high depth targeted sequencing using two platforms in parallel (Illumina HiSeq 2500 and Roche 454). Libraries for Illumina were prepared following the TAm-Seq procedure (Forshew et al, Sci Transl Med 2012), with preamplification of all coding TP53 exons and flanking untranslated regions followed by both paired-end 150bp Illumina and 454/Roche sequencing. CTC, ctDNA and usual patient characteristics were correlated with time to progression (TTP) and overall survival (OS). Results Archived tumor (FFPE or frozen) tissue was available for 36 patients, and 31 were successfully sequenced: TP53 mutations were found in 27 patients. As measured on the Illumina platform, ctDNA was detected in 21/27 patients (81%), ranging from 48 to 648,000 copies/mL of plasma (median 1620). Mutant allele fraction in circulating cell-free DNA ranged from 2 to 70% (median 5%). Comparison between ctDNA levels measured by Illumina and 454/Roche platforms in plasma displayed a good correlation (R2 = 0.903), with a single discordance. ≥1 CTC were detected in 19 of these 27 patients (70%). Strikingly, high ctDNA levels had prognostic impact neither on OS, nor on TTP, whatever the dataset used (Illumina or 454) whereas CTC≥5/7.5 mL were correlated with OS (p=0.04) and marginally with TTP (p=0.06). Other known usual factors, such as poor performance status, elevated LDH and number of previous treatment lines had also significant prognostic factors in this cohort. CTC and ctDNA early changes during treatment were available for 12 patients and changes (increase/decrease) of the two biomarkers were globally similar. Conclusion Demonstrating a good sensitivity (81%), ctDNA by the TAm-Seq is more frequently detected than CTCs in the 27 TNMBC with TP53 mutations. The observed correlation between the 2 massively parallel sequencing approaches suggested that ctDNA levels data were quantitative. In contrast to other usual prognostic factors, baseline ctDNA level did not demonstrate a prognostic impact,in this proof-of-principle study, suggesting that mechanisms of ctDNA release in TNMBC rely on biological features that do not dramatically impact patient’s outcome. Citation Format: Francois-Clement Bidard, Jordan Madic, Anna Kiialainen, Fabian Birzele, Guillemette Ramey, Quentin Leroy, Thomas Rio Frio, Virginie Raynal, Virginie Bernard, Alban Lermine, Inga Clausen, Nicolas Giroud, Roland Schmucki, Carsten Horn, Olivia Spleiss, Olivier Lantz, Marc-Henri Stern, Martin Weisser, Ronald Lebofsky, Jean-Yves Pierga. Circulating tumor DNA and circulating tumor cells in metastatic triple negative breast cancer patients [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr PD3-8.
Cancer Research | 2014
Ronald Lebofsky; Jordan Madic; Adrien Saliou; François-Clément Bidard; Olivier Lantz; Marc-Henri Stern; Jean-Yves Pierga
Circulating tumor DNA (ctDNA) analysis requires absolute single molecule sensitivity, since only a few copies of the mutation may be present per blood draw. Recent developments in next-generation sequencing (NGS) sample preparation have improved the relative sensitivity to detect Citation Format: Ronald Lebofsky, Jordan Madic, Adrien Saliou, Francois-Clement Bidard, Olivier Lantz, Marc-Henri Stern, Jean-Yves Pierga. Absolute single-molecule sensitive NGS by SPLITSEQ: a new ctDNA analysis tool. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-76. doi:10.1158/1538-7445.AM2014-LB-76