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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 2597-2597
    Abstract: Background: CDX models are expected to provide crucial information on mechanisms involved in metastatic progression, tumor-initiating properties of CTCs and the development of drug resistance. However, excepted for small-cell lung cancer (SCLC), CDX models are very difficult to develop. Here, we report the establishment, phenotypic and molecular characterization of four NSCLC CDX models and three in vitro cell lines derived from these CDXs. Methods: CTCs were enriched by RosetteSep from 30 ml blood samples and implanted subcutaneously into Nod/Scid-IL2Rγ-/- (NSG) mice. CDXs were phenotypically and genetically characterized by immunofluorescence, immunohistochemistry and whole-exome sequencing (WES). CDX-derived cell lines were established after mouse fibroblast depletion using classical culture medium. Standard conditions were used for IC50 determination. Results: Between January 2014 and June 2017, CTCs from 58 NSCLC patients with advanced metastatic disease were implanted into NSG mice resulting in the establishment of four CDXs. All had an epithelial phenotype. Based on CellSearch® counts, median and mean numbers of engrafted CTCs were 9 and 693 respectively (range, 0-17,694). GR-CDXL1, GR-CDXL2, GR-CDXL3, GR-CDXL4 were established starting from 3500, 35, 330, and 1102 CTCs respectively. Measurable tumors were obtained between 100 and 200 days after CTC implantation and were maintained by successive transplantations in NSG mice. Three in-vitro cell lines were established from GR-CDXL1, GR-CDXL3 and GR-CDXL4 tumors, and expressed an epithelial phenotype and CSC-markers such as ALDH, CD133 and CD90. Immunohistochemistry with epithelial and neuroendocrine markers, TTF1 and Ki67 indicated that CDXs and CDX-derived cell lines were representative of the corresponding patient tumor specimens (available in three patients). WES indicated 86%, 93%, 82% mutational similarity between GR-CDXL2, GR-CDXL3 and GR-CDXL4 and the corresponding tumor biopsies. The mutational similarity of GR-CDXL1, GR-CDXL3 and GR-CDXL4 and their corresponding in vitro cell lines was 24%, 83% and 84% respectively. WES of individual CTCs isolated at the time of CTC implantation is ongoing. In in vitro cytotoxicity assays, CDX-derived cell lines mirrored the patient's responsiveness to cisplatin and paclitaxel chemotherapy. The results of ongoing in vivo drug efficacy assays and of mutational tree analyses reconstructing the phylogenic evolution of tumor biopsies, CTCs, CDX and cell lines will be presented. Conclusion: This study revealed considerable similarities between CDXs and their corresponding patient tumor biopsies. These NSCLC CDX models represent unique tools to identify clonal mutations associated with the tumor-initiating capacity of CTCs and explore the genetic and phenotypic basis of metastasis and drug resistance associated with advanced NSCLC. Citation Format: Vincent Faugeroux, Emma Pailler, Olivier Deas, Judith Michels, Laura Mezquita, Laura Brulle-Soumare, Stefano Cairo, Jean-Yves Scoazec, Virginie Marty, Pauline Queffelec, Maud Ngo-Camus, Claudio Nicotra, David Planchard, Patricia Kannouche, Benjamin Besse, Jean-Gabriel Judde, Françoise Farace. Development and characterization of novel non-small cell lung cancer (NSCLC) circulating tumor cells (CTCs)-derived xenograft (CDX) models [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 2597.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 595-595
    Abstract: Background: CDX models have emerged as tractable systems to explore mechanisms involved in metastatic progression and tumor-initiating properties of CTCs. However, their development is challenging due to low prevalence of CTCs in patient blood. We report the genomic and functional characterization of 4 NSCLC CDX models and their derived cell lines. We focus on genome and chromosomal instability (CIN) mechanisms operating in the CDX-derived cell lines and decipher relevant therapeutic targets. Methods: CTCs were enriched from 30mL blood samples of 58 advanced NSCLC patients and implanted subcutaneously into Nod/Scid-IL2Rγ-/- (NSG) mice. Tumors were palpable within a median of 108 days. Among the 4 CDX models established, 3 CDX-derived cell lines (GR-CDXL1, GR-CDXL3 and GR-CDXL4) were obtained. Cell lines were characterized by immunofluorescence (IF), immunohistochemistry and whole-exome sequencing (WES). CIN and DNA damage response (DDR) activity were evaluated using IF and western blot. Tumorigenic potential of CDX-derived cell lines was assessed in the chick embryo chorioallantoic membrane (CAM) and NSG mice engrafted intravenously. IC50 was assessed using CellTiter-Glo®. Results: All CDX models had an epithelial phenotype. CDX and cell lines recapitulated the corresponding tumor histological features (available for 3 patients). WES revealed multiple copy number alterations (CNAs) in driver genes implicated in diverse genome instability mechanisms. GR-CDXL1 presented BRCA2 mutation and FANCA promoter deletion, while AKT gain was detected in GR-CDXL3 in addition to whole genome doubling. This led us to investigate the DDR in the cell lines. Homologous recombination deficiency and unrepaired DNA damage post-mitosis were observed in GR-CDXL1. GR-CDXL3 presented numerical CIN and centrosome clustering. GR-CDXL4 showed high levels of DNA damage and CIN. CNA and functional analysis provided a biological rationale for the selection of drug candidates in pharmacological testings on the CDX-derived cell lines. The assays mirrored patients' response to chemotherapy and revealed olaparib efficiency in GR-CDXL1 and GR-CDXL4 cells, which was validated in the CAM. GR-CDXL3 cells were sensitive to phosphoinositide 3-kinase-α inhibitor alpelisib, suggesting tumor dependence on PI3K/AKT pathway. Cell lines were tumorigenic in the CAM and mice. Notably, GR-CDXL3 seeded multiple metastases, which is concordant with its distinguished CIN characteristics and WGD. In ovo and in vivo validation of candidate therapeutic strategies is ongoing and will be presented. Conclusion: This study reveals distinct genome and CIN patterns operating in our CDX-derived cell lines that may play a critical role in CTC seeding capacity. Our CDX models offer new tools for designing therapeutic strategies targeting metastatic progression in NSCLC. Citation Format: Tala Tayoun, Vincent Faugeroux, Marianne Oulhen, Emma Pailler, Olivier Deas, Laura Mezquita, Laura Brulle-Soumare, Stephano Cairo, Jean-Yves Scoazec, Virginie Marty, Agathe Aberlenc, Maud NgoCamus, Claudio Nicotra, David Planchard, Patricia Kannouche, Benjamin Besse, Jean-Gabriel Judde, Patrycja Pawlikowska, Françoise Farace. Patterns and dynamics of genome instability drive metastatic activity in non-small cell lung cancer (NSCLC) circulating tumor cell (CTC)-derived xenograft (CDX) models [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 595.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 3016-3016
    Abstract: Despite progress in understanding aberrations that contribute to the development and progression of cancer, resistance to classical chemotherapeutic agents or novel targeted drugs continues to be a major problem in cancer therapy. Hence, the identification of the mechanisms underlying drug resistance acquisition is the key to explore new and efficient therapeutic pathways for patients. 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 under treatment. 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 are being fully characterized at both molecular and pharmacological levels 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. To favor successful xenograft establishment, the first passages are performed without drug treatment, then all the models are maintained under the same therapeutic pressure the parental tumor was submitted to at the time of biopsy. When applying therapeutic pressure, we observed different types of response: resistance from the first passage under treatment, stabilization under treatment at the first passages and rapidly acquired resistance over passages, or sensitivity to treatment whereas the patient tumor showed progression under the same treatment. These different behaviors can be observed in PDX models developed from multiple metastases of a same patient and may reflect different mechanisms of resistance. Most interestingly, PDX models obtained from different metastatic lesions of a same patient can recapitulate the different behavior observed in this patient. This behavior is translated by either tumor progression in one PDX model and/or stabilization under treatment in another. These paired models greatly facilitate the identification of relevant mechanisms of drug resistance.We have now completed the development of a panel of 25 PDX models of various indications and exposed to a variety of last generation targeted therapies. We will discuss relevant examples of results that can be generated from this panel, with particular focus on the molecular features of models with acquired or intrinsic resistance to treatment and of paired models with different drug sensitivity. These data highlight the unique potential of the MATCH-R preclinical platform to identify resistance mechanisms and develop next generation therapeutic strategies. Citation Format: Olivier Deas, Emilie Dassé, Laura Brulle-Soumare, Katell Mevel, Ludovic Bigot, Yohann Loriot, Fabrice André, Jean-Charles Soria, Benjamin Besse, Enora Le Ven, Stefano Cairo, Luc Friboulet, Jean-Gabriel Judde. Identification of the mechanisms of resistance to targeted therapies in advanced solid cancers [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 3016.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 4936-4936
    Abstract: Hepatoblastoma (HB) is a rare disease that represents the most frequent liver malignancy during childhood. HB incidence is approximately 1.5 cases per million children less than 15-years old in Western countries. HB is histologically classified as epithelial or mixed depending on the presence of mesenchymal component. The most common epithelial components are the embryonal and fetal phenotype, reminiscent of at early or late stages of liver development. The improvement of the clinical management in the last 30 years has allowed 5-year survival rate to pass from 35 to 80%,due to the introduction of cisplatin-based chemotherapy. More than 50% of tumors are either inoperable or are metastatic at diagnosis. Neoadjuvant chemotherapy allows tumor size reduction and sometimes leads to complete regression of pulmonary metastasis. In Europe, the SIOPEL (International Childhood Liver Tumors Strategy Group) protocols recommend the use of cisplatinum-based neoadjuvant chemotherapy followed by surgery and adjuvant chemotherapy. All international studies recommend resecting all the metastases remaining after neoadjuvant chemotherapy, however, to date no indication is provided that defines whether metatases removal must take place before or after primary tumor resection by partial or total hepatectomy. As liver regeneration is a complex process that involves the expression and release of numerous factors that induce cell hypertrophy and proliferation, the risk that hepatectomy-induced release of regenerating factors might help the survival and proliferation of microscopic intrahepatic or distant tumor cells leads several clinicians to perform hepatectomy only after the removal of all detectable metastases. To challenge this paradigm, we used a panel of HB patient-derived xenograft and evaluated the impact of partial hepatectomy on intrahepatic and extrahepatic tumor growth. Partial hepatectomy performed either concomitantly with interscapular implantation of HB-217 xenograft, a model established from a patient with intrahepatic recurrence, or at the time of tumor appearance in mice failed to increase tumor growth. When hepatectomy was realized on several HB models concomitantly with either intrahepatic injection of bioluminescent HB cells derived from HB PDXs or by tumor fragments’ direct implantation, one of these models, HB-243, also a model established from a patient with intrahepatic recurrence, showed increased tumor growth in mice concomitantly subjected to partial hepatectomy. These results suggest that increased tumor growth induced by hepatectomy can occur in HB, albeit heterogeneously. We are now evaluating the molecular features of this hepatectomy-sensitive model and the impact of different cytokines on HB-243 PDX-derived tumor cells. The aim of this study will be to identify molecular markers and drivers of tumor sensitivity to hepatectomy. Citation Format: Marianna Cornet, Anais Delaitre Delattre, Laura Brulle Soumare, Victorine Boissay, Thierry Tordjmann, Antoinette Lemoine, Olivier Deas, Jean-Gabriel Judde, Sophie Branchereau, Stefano Cairo. Modelling clinical issues by using patient-derived xenografts: Evaluation of partial hepatectomy on hepatoblastoma intrahepatic and distant growth [abstract] . In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4936. doi:10.1158/1538-7445.AM2017-4936
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 5
    In: Biomarker Research, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2018-12)
    Type of Medium: Online Resource
    ISSN: 2050-7771
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 6
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-04-20)
    Abstract: Transformation of castration-resistant prostate cancer (CRPC) into an aggressive neuroendocrine disease (CRPC-NE) represents a major clinical challenge and experimental models are lacking. A CTC-derived eXplant (CDX) and a CDX-derived cell line are established using circulating tumor cells (CTCs) obtained by diagnostic leukapheresis from a CRPC patient resistant to enzalutamide. The CDX and the derived-cell line conserve 16% of primary tumor (PT) and 56% of CTC mutations, as well as 83% of PT copy-number aberrations including clonal TMPRSS2-ERG fusion and NKX3.1 loss. Both harbor an androgen receptor-null neuroendocrine phenotype, TP53, PTEN and RB1 loss. While PTEN and RB1 loss are acquired in CTCs, evolutionary analysis suggest that a PT subclone harboring TP53 loss is the driver of the metastatic event leading to the CDX. This CDX model provides insights on the sequential acquisition of key drivers of neuroendocrine transdifferentiation and offers a unique tool for effective drug screening in CRPC-NE management.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 4678-4678
    Abstract: Lung cancer remains the first cause of cancer-related deaths worldwide, of which Non-Small Cell Lung Cancer (NSCLC) represents more than 80% of patients with advanced disease at the time of diagnosis. NSCLC is a highly heterogenous disease, and the identification of its main actionable oncogenic drivers (i.e. EGFR, ALK, PI3K/AKT/mTOR, RET, MET, BRAF and NTRK/ROS1) and the development of specific inhibitors against these targets has transformed therapeutic care. In addition, immune-checkpoint therapy has emerged as an indispensable treatment modality, especially for patients lacking actionable oncogenic drivers, although biomarkers for predicting response to immune-checkpoint inhibition have remained elusive. Despite these new therapeutic options, NSCLC remains a lethal disease in the majority of patients due to tumor plasticity and selection leading to frequent resistance development and disease progression. Efforts are therefore needed to identify drugs and drug combinations that can prevent or overcome these resistance pathways. Patient-Derived Xenografts (PDX) models developed in immune-compromised mice recapitulate the disease more faithfully than any other in vivo model in terms of histopathologic and genomic features. They have proven their relevance in the study of pathways leading to the development and progression of cancer, to the mechanisms linked to tumor resistance and to the identification of novel effective therapies, facilitating the translation of preclinical results in the clinical setting. We describe a platform of over 35 NSCLC PDX models covering most of the molecular diversity of the disease, that have been fully characterized at the molecular level and for their response to a panel of cytotoxic chemotherapies and targeted therapies. These NSCLC PDX models have been established in immune-deficient mice from tumor biopsies collected in treatment-naïve patients or in patients having acquired resistance following an initial objective response to a variety of targeted inhibitors (EGFRi, ALKi, ROSi, BRAFi,⋯) in the MATCH-R clinical trial. In addition, 4 PDX models were established from circulating tumor cells (CTC) isolated from the blood of advanced NSCLC patients. Finally, some of these NSCLC PDX models were established in highly immunodeficient mice humanized with human PBMCs or CD34+ cells allowing testing of efficacy of bispecific T-Cell engager antibody or immune-checkpoint inhibitors. This panel of NSCLC PDX models provides a powerful preclinical platform to improve our knowledge on the mechanisms underlying resistance to treatment and to rapidly evaluate response to new treatments and translate this knowledge to the clinic. Citation Format: Delphine Nicolle, Laura Brulle-Soumare, Katell Mevel, Ludovic Bigot, Tala Tayoun, Benjamin Besse, Françoise Farace, Luc Friboulet, Didier Decaudin, Erwan Corcuff, Anaïs Joachim, Bernard Malissen, Ana Zarubica, Hervé Luche, Jean-Gabriel Judde, Olivier Deas. Characterization of a PDX panel covering molecular diversity of non-small cell lung cancer to accelerate the development of precision therapy. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4678.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 8
    In: JCI Insight, American Society for Clinical Investigation, Vol. 7, No. 11 ( 2022-6-8)
    Type of Medium: Online Resource
    ISSN: 2379-3708
    Language: English
    Publisher: American Society for Clinical Investigation
    Publication Date: 2022
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  • 9
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 9, No. 2 ( 2019-02-01), p. 230-247
    Abstract: Small cell lung cancer (SCLC) accounts for 15% of lung cancers and is almost always linked to inactivating RB1 and TP53 mutations. SCLC frequently responds, albeit briefly, to chemotherapy. The canonical function of the RB1 gene product RB1 is to repress the E2F transcription factor family. RB1 also plays both E2F-dependent and E2F-independent mitotic roles. We performed a synthetic lethal CRISPR/Cas9 screen in an RB1−/− SCLC cell line that conditionally expresses RB1 to identify dependencies that are caused by RB1 loss and discovered that RB1−/− SCLC cell lines are hyperdependent on multiple proteins linked to chromosomal segregation, including Aurora B kinase. Moreover, we show that an Aurora B kinase inhibitor is efficacious in multiple preclinical SCLC models at concentrations that are well tolerated in mice. These results suggest that RB1 loss is a predictive biomarker for sensitivity to Aurora B kinase inhibitors in SCLC and perhaps other RB1−/− cancers. Significance: SCLC is rarely associated with actionable protooncogene mutations. We did a CRISPR/Cas9-based screen that showed that RB1−/− SCLC are hyperdependent on AURKB, likely because both genes control mitotic fidelity, and confirmed that Aurora B kinase inhibitors are efficacious against RB1−/− SCLC tumors in mice at nontoxic doses. See related commentary by Dick and Li, p. 169. This article is highlighted in the In This Issue feature, p. 151
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 3113-3113
    Abstract: Prostate Cancer (PCa) is the most frequently diagnosed cancer in men and remains one of the leading causes of cancer death worldwide. It is a highly heterogenous and complex disease, presenting serious challenges to preclinical drug development and biomedical research. Prostate normal development, growth and function, as well as most of its pathological drifts, are associated to androgen receptor (AR) pathway regulation. Most patients subjected to androgen deprivation therapy (ADT) respond well to the treatment, however they usually progress into intractable castration-resistant PCa (CRPC) within 2 to 3 years. Therefore, understanding the mechanisms of castration resistance underlying PCa progression is key to develop future therapies. Patient-Derived Xenografts (PDX) are mouse models that recapitulate the disease more faithfully than any other in vivo model in terms of histopathologic, genomic and metastatic features, facilitating the translation of preclinical results in the clinical setting. PCa PDXs are challenging to develop, and only few are available to the scientific community. This lack of relevant preclinical models is a major limitation in PCa research. In particular, the development of PCa PDX models from castration-resistant tumors to explore new treatments against CRPC is a requirement. To fill this gap, XenTech and Gustave Roussy Institute are collaborating to develop a panel of PCa PDX models. In the framework of the MATCH-R clinical trial (NCT02517892), in which patients with disease progression under treatment are enrolled and switched to new targeted therapy based on the genetic alterations identified in biopsies, 8 PCa PDXs have been developed from metastatic lesions biopsy. In addition, we developed a PCa PDX model from circulating tumor cells (CTCs) obtained by leukapheresis at diagnosis. These 9 models, plus 4 PCa PDXs previously developed at XenTech, increases our PCa PDX panel to 13 models. All models were characterized at molecular level by whole exome and RNA sequencing and pharmacologically for response to standards of care, physical castration and response to the androgen receptor inhibitor enzalutamide. This PDX collection is a valuable preclinical tool to identify pivotal mechanisms underlying acquired resistance to current therapies and develop novel treatment strategies against PCa and CRPC. Citation Format: Laura Brulle-Soumare, Ludovic Bigot, Katell Mevel, Enora Le Ven, Luc Friboulet, Benjamin Besse, Françoise Farace, Jean Gabriel Judde, Stefano Cairo, Yohann Loriot, Olivier Déas. Molecular and pharmacological profiling of a novel prostate cancer-derived xenograft panel to identify resistance mechanisms and new therapeutic options [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 3113.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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