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  • 1
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    Genomic analysis of early-stage lung cancer reveals a role for TP53 mutations in distant metastasis
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-11-09)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-11-09)
    Abstract: Patients with non-small cell lung cancer (NSCLC) who have distant metastases have a poor prognosis. To determine which genomic factors of the primary tumor are associated with metastasis, we analyzed data from 759 patients originally diagnosed with stage I–III NSCLC as part of the AACR Project GENIE Biopharma Collaborative consortium. We found that TP53 mutations were significantly associated with the development of new distant metastases. TP53 mutations were also more prevalent in patients with a history of smoking, suggesting that these patients may be at increased risk for distant metastasis. Our results suggest that additional investigation of the optimal management of patients with early-stage NSCLC harboring TP53 mutations at diagnosis is warranted in light of their higher likelihood of developing new distant metastases.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-022-21448-1
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 2
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    Abstract 2147: Development of preclinical models to accelerate the identification of next generation treatments for patients with acquired resistance to targeted therapies
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2147-2147
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2147-2147
    Abstract: The last 20 years have witnessed the identification of an increasing number of druggable oncogenic drivers and the development and clinical use of specific inhibitors against these targets. Unfortunately, patients treated with targeted therapies consistently develop resistance and progression under treatment. Hence, important scientific, pharmaceutical and medical research efforts are directed towards understanding the mechanisms of acquired resistance to explore new therapeutic pathways. The MATCH-R clinical trial enrolls patients with oncogene-driven cancer who have had previous clinical response to targeted therapy and subsequently experienced disease progression. In the framework of this project, Gustave Roussy and XenTech are joining forces to develop a panel of patient-derived xenografts (PDXs) derived from biopsies collected from these patients at the stage of acquired resistance. These PDX models will be used to improve knowledge on the mechanisms underlying resistance to treatment and to evaluate response to new treatments. In this perspective, the development of 75 PDX-AR (Active Resistance) models is planned over 3 years. All the models are maintained under the same therapeutic pressure the parental tumor was submitted to at the time of biopsy, and will be subjected to extensive phenotypic and genotypic characterization. The following models have been established so far: • ENDx-MR-004-AR (endometrial): resistant to the combination of MEK and MDM2 inhibitors; • LCx-MR-007-AR: (NSCLC): resistant to third generation EGFR inhibitor (osimertinib); • UREx-MR-015A-AR (ureter) and VEx-MR-086A-AR (bladder): resistant to a FGFR inhibitor (erdafitinib); • PARx-MR-010-AR (parotid): resistant to a NOTCH Inhibitor; • TCx-MR-122-AR (colon): resistant to an ATR inhibitor. To favor successful xenograft establishment, the first two passages were performed without drug treatment, which was applied from the third passage on. When doing so, some models showed resistance from the first passage under treatment, whereas others showed stabilization under treatment at the first passages and rapidly acquired resistance over passages. These different behaviors might underlie different mechanisms of resistance, irreversible (monoclonal) for the former, reversible (polyclonal) for the latter. Parallel to the development of UREx-MR-015A-AR, we developed the UREx-MR-015B-SD (stable disease) model from a biopsy collected from a different metastasis in the same patient, but stabilized by the therapy. Comparative analysis of these two models will provide important insights into the mechanisms of resistance to FGFR inhibitors. The MATCH-R PDX project will provide a unique preclinical platform for identifying resistance mechanisms to current targeted therapies and developing next generation therapeutic strategies. Citation Format: Olivier Déas, Ludovic Bigot, Guillaume Lang, Yohann Loriot, Fabrice Andre, Jean Charles Soria, Benjamin Besse, Stefano Cairo, Marie Tavernier, Katell Mevel, Enora Le Ven, Jean-Gabriel Judde, Luc Friboulet. Development of preclinical models to accelerate the identification of next generation treatments for patients with acquired resistance to targeted therapies [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 2147.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2018-2147
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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    Abstract 2122: Generation of a fully characterized preclinical PDX panel to accelerate the identification of next generation treatments for patients with acquired resistance to targeted therapies
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 2122-2122
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 2122-2122
    Abstract: The last 20 years have witnessed the identification of an increasing number of actionable oncogenic drivers and the development and clinical use of specific inhibitors against these targets. Unfortunately, patients treated with targeted therapies consistently develop resistance and progression under treatment. Hence, important scientific, pharmaceutical and medical research efforts are directed towards understanding the mechanisms of acquired resistance to explore new therapeutic pathways. The MATCH-R clinical trial enrolls patients with oncogene-driven cancer who have had previous clinical response to targeted therapy and subsequently experienced disease progression. In the framework of this project, Gustave Roussy and XenTech are joining forces to develop a panel of patient-derived xenografts (PDXs) derived from biopsies collected from these patients at the stage of acquired resistance. These PDX models will be fully characterized at molecular and pharmacological level and used to improve knowledge on the mechanisms underlying resistance to treatment and to evaluate response to new treatments. In this perspective, the development of 75 PDX-AR (Acquired Resistance) models is planned over 3 years. All the models are maintained under the same therapeutic pressure the parental tumor was submitted to at the time of biopsy, and will be subjected to extensive phenotypic and genotypic characterization. To favor successful xenograft establishment, the first two passages are performed without drug treatment, which is applied from the third passage on. When doing so, we observed 3 types of response: some models showed resistance from the first passage under treatment, some showed stabilization under treatment at the first passages and rapidly acquired resistance over passages, and others showed sensitivity to treatment, whereas the patient tumor showed progression under the same treatment. These different behaviors might be due to different mechanisms of resistance, irreversible for the former, reversible for the two latter, as well as to suboptimal correlation of the clinical dose with the one used in mice. An example of such discrepancies has been found in two models of NSCLC PDX obtained from two metastases from a patient treated by a ROS1 and ALK inhibitor. While LCx-MR135PD2-AR PDX does not respond to the treatment, the LCx-MR135PD1 model is highly sensitive. As both metastases were progressing under treatment in the patient, molecular and pharmacological comparative analysis of these two models will investigate these discrepancy and provide important insights into the mechanisms of resistance to such inhibitors. Overall, the MatchR PDX project will provide a unique preclinical platform to identify resistance mechanisms to current targeted therapies and to develop next generation therapeutic strategies. Citation Format: Olivier Déas, Ludovic Bigot, Emilie Dasse, Guillaume Lang, Yohann Loriot, Fabrice Andre, Jean-Charles Soria, Benjamin Besse, Stefano Cairo, Marie Tavernier, Katell Mevel, Enora Le Ven, Jean-Gabriel Judde, Luc Friboulet. Generation of a fully characterized preclinical PDX panel to accelerate the identification of next generation treatments for patients with acquired resistance to targeted therapies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2122.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2019-2122
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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    Abstract 448: High prevalence of pathogenic germline variants in patients with oncogene-driven non-small cell lung cancer
    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 13_Supplement ( 2021-07-01), p. 448-448
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 448-448
    Abstract: BACKGROUND: Preliminary data has highlighted inherited predisposition to lung cancer related to certain genes. The frequency of pathogenic germline variants (PGV) PGV in patients (pts) with lung cancer according to the presence of an oncogenic driver is unknown. We studied the PGV of genes predisposing to cancer in pts with non-small cell lung cancer (NSCLC), and the somatic molecular profile of lung tumors. METHODS: Retrospective study of whole exome sequencing (WES) from tissue biopsies performed in pts with advanced NSCLC enrolled, after signature of the inform consent, in the MOSCATO/MATCH-R trials between 2012 and 2018. Variants were considered as PGVs in the cancer predisposing genes (PMID: 29625052) if they satisfied the following criteria: (i) they had a “PASS” flag in HaplotypeCaller, (ii) were annotated as “Pathogenic” or “Likely Pathogenic” in ClinVar (PMID: 29165669) or InterVar (PMID: 28132688), or (iii) were truncating variants. Somatic driver mutations and Loss of Heterozygocity (LOH) of PGV harboring genes were further evaluated. The overlap to loss of heterozygocity regions was reported only when the variant allele frequency of the PGV was significantly higher than in the normal tissue. Cancer history, clinical and molecular data were retrospectively collected. The somatic mutations (m) in EGFR/BRAF/MET/HER2/KRAS and fusions in ALK/ROS1/RET were also considered for analysis. RESULTS: Among 134 pts, 48% were women, median age was 61 (range 24-83), 45% were nonsmokers, 74% had adenocarcinoma. The most common somatic oncogenic driver alterations were: EGFRm in 44 pts (33%), KRASm in 19 pts (14%), BRAFm in 12 pts (9%) and ALK in 12 pts (9%).PGV were found in 22 out of 152 (15%) cancer-predisposing genes; 4 pts had additional somatic mutations (2) or LOHs (2) in the same genes. 77% of PGVs were in genes which are part of DNA repair pathways including 3.6% nucleotide excision repair (ERCC1/2/3, XPA), 6.5% homologous recombination/Fanconi Anemia: (FANC/A/C/M/D2, BRCA1, RECQL), 2.1% base excision repair (MUTYH, NTHL1), while the others were represented by genes related to cell signaling and metabolism (NF1, MET, ELANE, PRDM9, TRIM37).In the 22 PGV-carriers, 68% had a somatic oncogene-driven alteration (15/22) : EGFRm (n=7; 5 ex19del, 2 ex21(L858R)), KRASm (n=3; 2 G12D, 1 G12V), METm (n=2), HER2m (n=1), ROS1 (n=1) and RET (n=1). PGV were observed in 16% of EGFRm (7/44), 67% of METm (2/3), 15% in KRASm (3/19), 33% of HER2m (1/3), 25% of ROS1 (1/4), 50% of RET (1/2); but no PGV was identified in pts with BRAFVm (12) or ALK (12). CONCLUSION: In our cohort, 15% of pts with NSCLC were PGV-carriers; 68% of PGV-carriers had oncogene-driven tumors, particularly with somatic EGFR mutations. PGV and oncogene-driven lung carcinogenesis need further evaluation. Citation Format: Laura Mezquita, Andrei Iurchenko, Jose Carlos Benitez, Maria Baz, Sergey Nikolaev, David Planchard, Felix Blanc-Durand, Mihaela Aldea, Patricia Martín-Romano, Yohann Loriot, Claudio Nicotra, Maud Ngocamus, Jean-Yves Scoazec, Stefan Michiels, Sophie Postel-Vinay, Julien Viot, Luc Friboulet, Antoine Italiano, Fabrice Andre, Christophe Massard, Jean-Charles Soria, Etienne Rouleau, Daniel Gautheret, Benjamin Besse. High prevalence of pathogenic germline variants in patients with oncogene-driven non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 448.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2021-448
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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    Abstract 2230: Integrative genomic analysis of refractory metastatic cancer
    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 13_Supplement ( 2021-07-01), p. 2230-2230
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 2230-2230
    Abstract: Metastatic cancer refractory to treatment has a dismal prognosis. While genetic mechanisms of primary tumors and to a lesser extent of metastatic cancers have been studied on large cohorts, it is still not well understood if metastatic tumors refractory to systemic treatment contain specific signatures at genomic or transcriptional levels. Molecular characterization of metastatic cancers at terminal stage is indispensable for understanding the mechanisms of resistance to treatment and for prediction of tumor aggressiveness at earlier stages. Here, we present a large pan-cancer cohort of 914 tumors resistant to systemic therapies. Comprehensive clinical information is available for all the patients and includes tumor subtype, biopsy site, treatment, age, overall survival, etc. Biopsies of tumor metastases were taken after the diagnosed resistance. For this cohort we performed whole exome sequencing of a subset of 427 tumors with a median depth of 123X and matching blood, and transcriptome sequencing of all 914 tumors. We will discuss the variation in this cohort along 3 axes. Firstly we will describe the somatic mutations and indels by types of driver mutations, mutational burden, level of subclonality and mutational signatures. Additionally we will elaborate on the genomic instability and quantity of somatic copy number alterations (SCNAs). Secondly, we will present the annotation of germline DNA, frequency and classification of pathogenic variants predisposing to cancer. Germline variants are analyzed in the context of somatic genome focusing on the detection of the second hit by a mutation or a SCNA. Thirdly, we will present results of the analysis of differentially expressed genes and transcripts, activation of oncogenic and treatment resistance pathways, and fusion genes reported by multiple tools. The aforementioned genetic parameters are fed into a multi-omics model for identification of the key factors associated with the clinical features in the cohort. Furthermore this cohort is compared to primary tumors and to another cohort of metastatic tumors in order to unravel genetic markers of refractory disease. To this aim, we harmonized DNA- and RNA-derived variables from The Cancer Genome Atlas (TCGA) and MET500 (Robinson et al., Nature 2017). Such integrative analysis unravels genetic hallmarks of aggressive and treatment-resistant metastatic cancers highlighting the importance of multi-level tumor profiling to inform on therapeutic strategies. Citation Format: Julien Viot, Yoann Pradat, Ismael Padioleau, Andrey Yurchenko, Loic Verlingues, Rebecca Clodion, Stefan Michiels, Marc Deloger, Gerome Jules-Clément, Yohann Loriot, Benjamin Besse, Fabrice Andre, Paul-Henry Cournedes, Daniel Gautheret, Sergey Nikolaev. Integrative genomic analysis of refractory metastatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2230.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2021-2230
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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    Abstract PR009: Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 2_Supplement_2 ( 2023-01-15), p. PR009-PR009
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 2_Supplement_2 ( 2023-01-15), p. PR009-PR009
    Abstract: Metastatic relapse after treatment is the primary cause of cancer morbidity and mortality. While genetic mechanisms of primary tumors and, to a lesser extent, metastatic cancers have been studied in large cohorts, refractory metastatic tumors are not yet sufficiently characterized. Markers of aggressiveness and resistance that molecular profiling can extract from these tumors have yet to be identified and incorporated into clinical care. In this study, we present a pan-cancer cohort of 1,031 metastatic tumors (which we refer to as META-PRISM) that are resistant to at least one systemic therapy or with no approved treatment options. We retrieved the complete clinical history of patients and performed whole-exome (n=571) and transcriptome sequencing (n=947) for this cohort. The prevalence of detected cancer biomarkers was assessed and compared to an external cohort of primary tumors. In the META-PRISM cohort, we observed an increase in (i) whole-genome duplication frequency, (ii) tumor mutational burden, (iii) germline cancer-predisposing variants, and (iv) somatic alterations in cancer genes, including KRAS, EGFR, CCND1, MYC, and TP53, as compared to the tumor type-matched primary tumors. The most extensive increase in genomic variation at metastatic stage was observed in prostate cancer. We also identified enrichment of standard-of-care resistance biomarkers in most cancer types. However, only 7.6% of tumors harbored at least one such biomarker, indicating that the current understanding of resistance mechanisms remains insufficient. Our cohort demonstrated a significantly improved 6-month survival prediction from models incorporating molecular markers over models with only clinical markers for breast cancer patients and to a lesser extent for other studied tumor types. Overall, our data establish a unique resource for investigating treatment resistance mechanisms and performing predictive analyses in cancer. Citation Format: Yoann Pradat, Julien Viot, Konstantin Gunbin, Andrei Iurchenko, Marc Deloger, Luigi Cerbone, Guillaume Grisay, Loic Verlingue, Veronique Scott, Stefan Michiels, Antoine Hollebecque, Gerome Jules-Clement, Antoine Laine, Luc Friboulet, Laura Mezquita, Yohann Loriot, Benjamin Besse, Fabrice Andre, Paul-Henry Cournede, Daniel Gautheret, Sergey Nikolaev. Integrative pan-cancer genomic and transcriptomic analyses of refractory metastatic cancer [abstract]. In: Proceedings of the AACR Special Conference: Cancer Metastasis; 2022 Nov 14-17; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_2):Abstract nr PR009.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.METASTASIS22-PR009
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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    Abstract 3414: Systematic comparison of ctDNA vs tissue sequencing with a large panel to guide therapy in patients with advanced cancer: A study from the French National Center for Precision Medicine (PRISM)
    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Research Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3414-3414
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3414-3414
    Abstract: Background: Genomic profiling with tissue sequencing is still considered as the gold standard despite several limitations including screening failures due to limited tissue availability, and inability to capture intratumor spatial and temporal heterogeneity, which may impair accurate treatment selection. Several studies have demonstrated the potential of circulating tumor DNA (ctDNA) to detect genomic alterations at high accuracy compared with tissue analysis. However, no studies have comprehensively evaluated differences between tissue and ctDNA by using a large panel in the same cohort. Methods: Genomic analysis was performed for each patient by using the Foundation One Liquid CDx Assay and the Foundation One CDx Assay (324 genes, tumor mutational burden [TMB], microsatellite instability). Each individual genomic report was reviewed and discussed weekly by a multidisciplinary tumor board (MTB). Actionable targets were defined by the MTB according to the existing level of evidence (ESCAT tiers) and molecular-based treatment suggestions were proposed where possible. Results: Between Dec 2020 and Nov 2021, 1021 patients (median age: 62 years) with advanced cancer underwent both tissue and ctDNA NGS. Five most frequent tumor types were colorectal (N=137,13%), NSCLC (N=130,13%), breast (N=120, 12%), prostate (N=82, 8%) and pancreas (N=65, 6%). Median time elapsed between request and assay results was 12 days for ctDNA and 46 days for tissue. Testing failure was 15% for tissue and 3.9% for ctDNA. Overall, 824 (81%) patients had evaluable results for both tissue and liquid. Total number of cancer-related alterations and variants of unknown significance were 4704 and 11673 vs 4645 and 7481 for ctDNA and tissue, respectively. Proportion of patients with a higher number of cancer alterations identified in ctDNA compared with tissue increased in parallel with the time elapsed between the tissue and ctDNA sampling (45% vs 33% for a delay & gt; 26 months or & lt; 8 months). MSI and TMB status were concordant for 71% and 64% of patients, respectively. MSI status was evaluable for 97% of patients through ctDNA vs 90% through tissue. Number of actionable alterations was similar in 346 (42%) of cases, whereas it was higher in tissue for 289 (35%) and in liquid for 189 (23%) patients. ctDNA profiling allowed the identification of an ESCAT I/II or III or IV alteration not present in tissue for 74 (9%), 113 (14%) and 52 (6%) patients, respectively. Overall, MTB recommended a matched therapy for 430 patients (52%). Such a recommendation would not have been made without the results of ctDNA for 120 patients (15%). Conclusion: This systematic comparison of ctDNA vs tissue sequencing demonstrates the capacity of ctDNA for capturing clinically relevant alterations to guide therapy in cancer patients with high accuracy and rapid turnover results. Citation Format: Arnaud Bayle, Florent Peyraud, Laila Belcaid, Maxime Brunet, Miha Aldea, Rebecca Clodion, Paul Dubos, Damien Vasseur, Claudio Nicottra, Santiago Ponce, Isabelle Soubeyran, Emmanuel Khalifa, Yohann Loriot, Benjamin Besse, Ludovic Lacroix, Etienne Rouleau, Geoffrey Oxnard, Fabrice Barlesi, Fabrice Andre, Antoine Italiano. Systematic comparison of ctDNA vs tissue sequencing with a large panel to guide therapy in patients with advanced cancer: A study from the French National Center for Precision Medicine (PRISM) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3414.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2022-3414
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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    Abstract 3413: Clinical utility of circulating tumor DNA sequencing with a large panel: The experience of Gustave Roussy/National Center for Precision Medicine (PRISM)
    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Research Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3413-3413
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3413-3413
    Abstract: Background: Circulating tumor DNA (ctDNA) sequencing is a promising approach for testing gene alterations and tailoring therapy in cancer patients given, its limited invasiveness, high sensitivity and potential to comprehensively represent tumor heterogeneity. Here, we report the results from a single-center study conducted at Gustave Roussy (Villejuif, France) where we investigated the impact of comprehensive molecular profiling of ctDNA in patients with advanced solid tumors. Methods: Genomic analysis was performed using the Foundation One Liquid CDx Assay (324 genes, tumor mutational burden [TMB], microsatellite instability status). Each individual genomic report was reviewed and discussed weekly by a multidisciplinary tumor board (MTB) dedicated to precision medicine, attended by experts in clinical oncology, molecular biology, and clinical genetics. Actionable targets were defined by the MTB according to the existing level of evidence (classified by ESCAT tier), and molecular-based treatment suggestions were proposed where possible. Results: Between December 2020 and November 2021, 1772 patients with metastatic solid tumors underwent molecular profiling. Median time to assay results was 12 days. Results were contributive for 1658 patients (94%). At least one actionable target was detected in 1059 patients (64%) with a total of 1825 theragnostic alterations including : high blood TMB ( & gt; 16 mutations/Mb) (N= 243, 13%), alteration of the DNA damage repair response pathway (N=336, 18%), PIK3CA mutations (N=150, 8%), FGFR alterations (N= 67, 4%), MET activations (N=13, 0.7%), ERBB family pathway alterations (N=127, 7%) and PTEN mutations (N=95, 5%). Overall, the MTB recommended a matched therapy for 597 patients (56%) with a total of 819 therapeutic orientations: clinical trials (N= 639, 78%), off label/compassionate use (N=81, 10%), drug with a market authorization (N=51, 6%) and drug within an early access program (N=48, 6%). MTB did not recommend treatment for 462 patients (44%) with targetable molecular alterations for the following reasons: no clinical trial (N=421, 65%), matched treatment was already received (N=169, 26%), worsening of performance status (N= 49, 8%). Conclusions: This large-scale study demonstrates that liquid biopsy with a large NGS ctDNA panel is an efficient approach to match patients to genomically directed clinical trials/targeted therapies. Outcomes of patients treated with matched therapy will be presented at the meeting. Citation Format: Arnaud Bayle, Laila Belcaid, Miha Aldea, Florent Peyraud, Patricia Martin Romano, Félix Blanc-Durand, Rebecca Clodion, Santiago Ponce, Claudio Nicotra, Antoine Hollebecque, Yohann Loriot, Benjamin Besse, Damien Vasseur, Ludovic Lacroix, Etienne Rouleau, Jean-Charles Soria, Fabrice Barlesi, Geoffrey R. Oxnard, Fabrice Andre, Antoine Italiano. Clinical utility of circulating tumor DNA sequencing with a large panel: The experience of Gustave Roussy/National Center for Precision Medicine (PRISM) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3413.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2022-3413
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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    Feasibility and first reports of the MATCH-R repeated biopsy trial at Gustave Roussy
    Springer Science and Business Media LLC ; 2020
    In:  npj Precision Oncology Vol. 4, No. 1 ( 2020-09-08)
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    In: npj Precision Oncology, Springer Science and Business Media LLC, Vol. 4, No. 1 ( 2020-09-08)
    Abstract: Unravelling the biological processes driving tumour resistance is necessary to support the development of innovative treatment strategies. We report the design and feasibility of the MATCH-R prospective trial led by Gustave Roussy with the primary objective of characterizing the molecular mechanisms of resistance to cancer treatments. The primary clinical endpoints consist of analyzing the type and frequency of molecular alterations in resistant tumours and compare these to samples prior to treatment. Patients experiencing disease progression after an initial partial response or stable disease for at least 24 weeks underwent a tumour biopsy guided by CT or ultrasound. Molecular profiling of tumours was performed using whole exome sequencing, RNA sequencing and panel sequencing. At data cut-off for feasibility analysis, out of 333 inclusions, tumour biopsies were obtained in 303 cases (91%). From these biopsies, 278 (83%) had sufficient quality for analysis by high-throughput next generation sequencing (NGS). All 278 samples underwent targeted NGS, 215 (70.9%) RNA sequencing and 222 (73.2%) whole exome sequencing. In total, 163 tumours were implanted in NOD scid gamma (NSG) or nude mice and 54 patient-derived xenograft (PDX) models were established, with a success rate of 33%. Adverse events secondary to invasive tumour sampling occurred in 24 patients (7.6%). Study recruitment is still ongoing. Systematic molecular profiling of tumours and the development of patient-derived models of acquired resistance to targeted agents and immunotherapy is feasible and can drive the selection of the next therapeutic strategy.
    Type of Medium: Online Resource
    ISSN: 2397-768X
    URL: Article
    DOI: 10.1038/s41698-020-00130-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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    Genomic landscape of acquired resistance to targeted therapies in patients with solid tumors: A study from the National Center for Precision Medicine (PRISM).
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 3016-3016
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 3016-3016
    Abstract: 3016 Background: Despite the effectiveness of the various targeted therapies currently approved in solid tumors, acquired resistance remains a persistent problem that limits the ultimate effectiveness of these treatments. Polyclonal resistance to targeted therapy has been described in multiple solid tumors through high throughput analysis of multiple tumor tissue samples from a single patient. However, biopsies at the time of acquired resistance to targeted agents may not always be feasible and may not capture the genetic heterogeneity that could exist within a patient. We used here sequencing of circulating tumor DNA (ctDNA) to characterize the landscape of secondary resistance mechanisms in a large cohort of patients with solid tumors. Methods: This study enrolled patients with advanced cancer from two institutional molecular profiling program STING (NCT04932525, sponsor: Gustave Roussy) or BIP (NCT02534649sponsor: Institut Bergonié). Genomic analysis was performed for each patient by using the Foundation One Liquid CDx Assay (324 genes, tumor mutational burden [TMB], microsatellite instability status). Results: 3435 patients with metastatic disease entered the study. Among them 992 patients (29%) received a targeted therapy matched to a specific molecular alteration before ctDNA. The main tumor types were: prostate cancer (349, 35%), luminal breast cancer (236, 24%), oncogene-addicted non-small cell lung cancer (129, 13%), KRAS-wild type colorectal cancer (126, 13 %). The most frequent class of targeted agents were androgen receptor pathway inhibitor (n = 350, 35%), aromatase inhibitor (236, 24%), anti- EGFR monoclonal antibodies (166, 17%), anti- EGFR tyrosine kinase inhibitors (83, 8%). ctDNA sequencing revealed DNA aberrations involved in secondary resistance in 308 patients (31%). The most frequent aberrations were AR mutations/amplifications, ESR1 point mutations, KRAS point mutations, EGFR point mutations. Among patients with resistance mutation, polyclonal aberrations were identified in 123 patients (40%). The median number of polyclonal aberrations per patient was 2 (range: 2-16). Polyclonal aberrations involved at least 2 different genes in 32 patients (10%). Preliminary results suggest that patients with polyclonal aberrations had worse outcome in comparison with patients with one or no detected aberration and final data will be presented at the time of the congress. Conclusions: We report here the first comprehensive landscape of genomic aberrations in ctDNA involved in resistance to targeted therapies in cancer patients. Polyclonal secondary genomic aberrations represent a frequent clinical resistance mechanism that may explain the poor rate of sustained complete remission observed with targeted therapies and must guide the development of future combinatorial strategies.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2022.40.16_suppl.3016
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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