scholarly journals Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction

2021 ◽  
Author(s):  
David Earl Hostallero ◽  
Yihui Li ◽  
Amin Emad

Motivation: The increasing number of publicly available databases containing drugs' chemical structures, their response in cell lines, and molecular profiles of the cell lines has garnered attention to the problem of drug response prediction. However, many existing methods do not fully leverage the information that is shared among cell lines and drugs with similar structure. As such, drug similarities in terms of cell line responses and chemical structures could prove to be useful in forming drug representations to improve drug response prediction accuracy. Results: We present two deep learning approaches, BiG-DRP and BiG-DRP+, for drug response prediction. Our models take advantage of the drugs' chemical structure and the underlying relationships of drugs and cell lines through a bipartite graph and a heterogenous graph convolutional network that incorporate sensitive and resistant cell line information in forming drug representations. Evaluation of our methods and other state-of-the-art models in different scenarios show that incorporating this bipartite graph significantly improve the prediction performance. Additionally, genes that contribute significantly to the performance of our models also point to important biological processes and signaling pathways.

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Zachary Stanfield ◽  
Mustafa Coşkun ◽  
Mehmet Koyutürk

Abstract Drug response prediction is a well-studied problem in which the molecular profile of a given sample is used to predict the effect of a given drug on that sample. Effective solutions to this problem hold the key for precision medicine. In cancer research, genomic data from cell lines are often utilized as features to develop machine learning models predictive of drug response. Molecular networks provide a functional context for the integration of genomic features, thereby resulting in robust and reproducible predictive models. However, inclusion of network data increases dimensionality and poses additional challenges for common machine learning tasks. To overcome these challenges, we here formulate drug response prediction as a link prediction problem. For this purpose, we represent drug response data for a large cohort of cell lines as a heterogeneous network. Using this network, we compute “network profiles” for cell lines and drugs. We then use the associations between these profiles to predict links between drugs and cell lines. Through leave-one-out cross validation and cross-classification on independent datasets, we show that this approach leads to accurate and reproducible classification of sensitive and resistant cell line-drug pairs, with 85% accuracy. We also examine the biological relevance of the network profiles.


2020 ◽  
Author(s):  
Tuan Nguyen ◽  
Thin Nguyen ◽  
Duc-Hau Le

AbstractBackgroundDrug response prediction is an important problem in computational personalized medicine. Many machine learning-, especially deep learning-, based methods have been proposed for this task. However, these methods often represented the drugs as strings, which are not a natural way to depict molecules. Also, interpretation has not been considered thoroughly in these methods.MethodsIn this study, we propose a novel method, GraphDRP, based on graph convolutional network for the problem. In GraphDRP, drugs are represented in molecular graphs directly capturing the bonds among atoms, meanwhile cell lines are depicted as binary vectors of genomic aberrations. Representative features of drugs and cell lines are learned by convolution layers, then combined to represent for each drug-cell line pair. Finally, the response value of each drug-cell line pair is predicted by a fully-connected neural network. Four variants of graph convolutional networks are used for learning the features of drugs.ResultsWe find that GraphDRP outperforms tCNN in all performance measures for all experiments. Also, through saliency maps of the resulting GraphDRP models, we discover the contribution of the genomic aberrations to the responses.ConclusionRepresenting drugs as graphs are able to improve the performance of drug response prediction. Data and source code can be downloaded at https://github.com/hauldhut/GraphDRP.


Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 746-746
Author(s):  
Kavita B. Kalra ◽  
Xiangfei Cheng ◽  
Marion Womak ◽  
Christopher Gocke ◽  
Jyoti B. Patel ◽  
...  

Abstract All trans retinoic acid (ATRA) has been used in differentiation therapy for APL and other types of cancers. However, the rapid emergence of ATRA resistance due in part to ATRA-induced acceleration of ATRA metabolism limits its use. A novel strategy to overcome the limitation associated with exogenous ATRA therapy has been developed by inhibiting the cytochrome P450-dependent ATRA-4-hydroxylase enzyme responsible for ATRA metabolism. These inhibitors are referred to as RAMBAs. Novel RAMBAs were developed which demonstrated a superior apoptosis, cell growth inhibition, in vivo anti-tumor effect in addition to the differentiation effect in breast cancer cell lines (Patel JB et al. J. Med. Chem2004,47:6716). We tested 3 RAMBAs, VN/14-1, 50-1, and 66-1 to investigate their activities against APL cell lines. RAMBAs did not confer cytotoxicity or apoptosis induction in vitro at the concentration between 0.5 to 5 μM as opposed to breast or prostate cancer cell lines. However, the differentiation effect was demonstrated by morphological and phenotypic changes using Wright-Giemsa stain and CD11b staining measured by flow cytometric analysis. VN/14-1 and VN/66-1 induced differentiation and apoptosis morphologically and phenotypically in HL60 cells. VN/14-1 and VN/50-1 showed superior differentiation in NB4 cell line compared to ATRA (70%, 69%, and 45%, respectively). Interestingly, HL60 ATRA resistant cell line was induced to undergo differentiation by VN/14-1 (0.5μM) at 55% whereas ATRA (0.5, 1, 5μM) showed less than 5% by flow cytometry analysis. VN/14-1 inhibited cell cycle at S phase whereas ATRA did not attenuate the cell cycle at the same concentration. We also tested the effect of RAMBAs on human CD34+ enriched cell colony formation. RAMBAs were added to the methylcellulose culture plates with CD34+ cells and colonies were determined after 14 days. There was no difference in the CFU-GM or BFU-E colony count between the control and the RAMBAs group. In summary, RAMBAs are promising differentiation agents in the treatment of APL, possibly through an inhibition of Cyp26A leading to increased endogenous ATRA levels. In addition, cell cycle inhibition may be a mechanism of differentiation induction in ATRA resistant cell lines. RAMBAs did not affect normal hematopoietic stem cells. We are currently testing whether RAMBAs can induce acetylation of histones in APL cell lines.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2668-2668
Author(s):  
Yuan Xiao Zhu ◽  
Laura Ann Bruins ◽  
Joseph Ahmann ◽  
Cecilia Bonolo De Campos ◽  
Esteban Braggio ◽  
...  

Abstract Venetoclax (VTX) is a selective small-molecule inhibitor of BCL-2 that exhibits antitumoral activity against MM cells presenting lymphoid features and those with translocation t(11;14). Despite its impressive clinical activity, VTX therapy for a prolonged duration can lead to drug resistance. Therefore, it is important to understand the underlying mechanisms of resistance in order to develop strategies to prevent or overcome resistance. In the present study, we established four VTX resistant human myeloma cell lines (HMCLs) from four sensitive HMCLs, including three with t(11;14), in culture with a stepwise increase in treatment dose with VTX. To identify the molecular basis of acquired VTX resistance, whole exon sequencing (WES), mRNA-sequencing (mRNAseq), and protein expression assays were performed in the four isogenic VTX-sensitive/resistant HMCLs and three MM patients with samples collected before VTX administration and after clinical resistance to the drug. Compared with sensitive cell lines and patient samples collected before VTX administration, mRNAseq analysis identified downregulation of BIM and upregulation of BCLXL in both resistant cell lines and MM cells from relapse patients. Other transcriptional changes detected included upregulation of AURKA, BIRC3, BIRC5, and IL32. Enrichment analysis of differentially expressed genes suggested involvement of PI3K and MAPK signaling, likely associated with cytokines, growth factors (EGF, FGF and IGF family members), and receptor tyrosine kinase (EGF and FGF). Western blot analysis was performed to compare BCL2 family expression in resistant cell lines versus sensitive cell lines and it showed upregulation of BCL2 survival members (such as MCL-1 and BCLXL), and downregulation of pro-apoptotic BH3 members (such as BIM and PUMA). BIM expression was completely lost in one resistant cell line, and introduction of exogenous BIM into this cell line enhanced VTX sensitivity. Interestingly, BCL2 was upregulated in some resistant cell lines generated after a long-term treatment with VTX, suggesting BCL2 expression level may not be suitable as a marker of VTX sensitivity for acquired resistance. Unlike in CLL, BCL2 mutations were not identified through WES in any resistant cell lines or primary patient sample harvested after relapse. While 8 genes were mutated in two resistant samples , no clear mutational pattern emerged . Based on the above, we further tested some specific inhibitors in in vitro or ex vivo cell models to help understanding resistant mechanism and identify strategies to overcome VTX resistance. We found that inhibition of MCL-1, with the compound S68345, substantially enhanced VTX sensitivity in three resistant HMCLs and in primary cells from one relapsed MM patient. A BCLXL inhibitor (A155463) only significantly enhanced VTX sensitivity in one resistant cell line after co-treatment with VTX. Co-treatment of the other three resistant cell lines with VTX, S68345 and A155463 resulted in the most synergistic anti-myeloma activity, suggesting those cell lines are co-dependent on MCL-1, BCLXL, and BCL2 for survival, although they are more dependent on MCL-1. We also found that inhibition of PI3K signaling, IGF1, RTK (EGF and FGF) and AURKA significantly increased VTX sensitivity, partially through downregulation of MCL-1, and BCLXL, and upregulation of BIM. Conventional anti-MM drugs such as dexamethasone, bortezomib and lenalidomide, were shown to have little activity on augmenting VTX sensitivity in most resistant cell lines. In summary, we find that acquired resistance to VTX in MM is largely associated with BCL2 family regulation, including upregulation of survival members such as MCL-1, BCLXL, BCL2, and downregulation of pro-apoptotic members, especially BIM. Our study also indicates that upstream signaling involved in BCL2 family regulation during acquired resistance is likely related to cytokine, growth factor, and/or RTK-induced cell signaling such as PI3K. Co-inhibition of MCL-1, or BCLXL, as well as the upstream PI3K, RTK (FGF and EGF), IGF-1 mediated signaling were effective in overcoming VTX resistance. Disclosures Fonseca: Mayo Clinic in Arizona: Current Employment; Amgen: Consultancy; BMS: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Merck: Consultancy; Juno: Consultancy; Kite: Consultancy; Aduro: Consultancy; OncoTracker: Consultancy, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy; AbbVie: Consultancy; Patent: Prognosticaton of myeloma via FISH: Patents & Royalties; Scientific Advisory Board: Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Caris Life Sciences: Membership on an entity's Board of Directors or advisory committees.


2020 ◽  
Author(s):  
Nithya Balasundaram ◽  
Saravanan Ganesan ◽  
Ezhilarasi Chendamarai ◽  
Hamenth Kumar Palani ◽  
Arvind Venkatraman ◽  
...  

AbstractAcquired genetic mutations can confer resistance to arsenic trioxide (ATO) in the treatment of acute promyelocytic leukemia (APL). However, such resistance-conferring mutations are rare and do not explain the majority of disease recurrence seen in the clinic. We have generated a stable ATO resistant promyelocytic cell from a ATO sensitive NB4 cell line. We also noted that another ATRA resistant cell line (UF1) was cross resistant to ATO. We have characterized these resistant cell lines and observed that they significantly differed in their immunophenotype, drug transporter expression, drug resistance mutation profile and were also cross-resistant to other conventional chemotherapeutic agents. The NB4 derived resistant cell line had the classical A216V PML-B2 domain mutation while the UF1 cell line did not. Gene expression profiling revealed prominent dysregulation of the cellular metabolic pathways in the resistant cell lines. Glycolytic inhibition by 2-DG was efficient and comparable to the standard of care (ATO) in targeting the sensitive APL cell lines and was also effective in the in vivo transplantable APL mouse model; however, it did not affect the ATO resistant cell lines. The survival of the resistant cell lines was significantly affected by compounds targeting the mitochondrial respiration irrespective of the existence of ATO resistance-conferring genetic mutations. Our data demonstrate the addition of mitocans can overcome ATO resistance. We further demonstrated that the combination of ATO and mitocans has the potential in the treatment of non-M3 AML and the translation of this approach in the clinic needs to be explored further.Key pointsMetabolic rewiring promotes ATO resistance, which can be overcome by targeting mitochondrial oxidative phosphorylation.Combination of ATO and mitocans can be exploited as a potential therapeutic option for relapsed APL and in non-M3 AML patients.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 1981-1981 ◽  
Author(s):  
Jean-Max Pasquet ◽  
Marion Pocaly ◽  
Valérie Lagarde ◽  
Béatrice Turcq ◽  
Josy Reiffers ◽  
...  

Abstract Targeting the tyrosine kinase activity of Bcr-Abl by imatinib mesylate is an attractive therapeutic strategy in chronic myelogenous leukemia (CML) and in Bcr-Abl positive acute lymphoblastic leukemia. However, resistance to imatinib monotherapy is currently a major issue preventing the successful treatment of CML patients. It may be mainly mediated by mutations within the kinase domain of Bcr-Abl and/or amplification of the BCR-ABL genomic locus. The K562-r imatinib-resistant cell line, derived in our laboratories from the sensitive parental K562-s has neither mechanism of resistance, nor overexpression of Src-kinases such as Lyn and Hck, as described for other cell lines. In the current study we used two-dimensional (2D) difference gel electrophoresis (DIGE) and MALDI-TOF-TOF mass spectrometry to compare the proteome of K562-r and K562-s. With the aid of the Image Master TM 2D platinium software, we detected 31 different proteins in K562-r and K562-s. These proteins were classified in 3 different groups. The first includes proteins involved in the synthesis and stability of RNA (hnRNP K, hnRNP H, CstF , transcription elongation factor A protein 1, PCBP2, TCP1), the second encompasses structural proteins (CAPG, fascin, tubulin, vimentin, laminA, C tubulin beta-1 chain, actin cytoplasmic 1, keratin type I type II), and the third was represented by different enzymes participating in general metabolic pathways (glyceraldehyde 3-phosphate dehydrogenase, malate dehydrogenase, mitochondrial precursor, glutamate dehydrogenase 2, pyruvate kinase, PURH protein). Furthermore, chaperone proteins such as heat-shock protein Hsp60, P60HOP or STI-1, Hsp105 and Hsp70 were differentially expressed in the sensitive and resistant cell lines. Since these proteins complex with Hsp90 and this complex has been reported to interact with the Bcr-Abl protein, we focused on these molecular chaperones. Hsp70 family proteins such as Hsc70 and Hsp74 were found to be more expressed 2.5-fold higher in K562-r than in K562-s, and/or exhibited post translational modifications (phosphorylation and acetylation) confirmed by Western blotting. Hsp70 was recently described as an inhibitor of apoptosis (Ray S et al., JBC 2004) and its overexpression in K562-r could thus contribute to its imatinib-resistant phenotype. Preliminary functional studies showed that whereas K562-s and K562-r were equally sensitive to the apoptotic effect of geldanamycin (an inhibitor of Hsp90), the combination of geldanamycin and a proteasome inhibitor (MG132) was more efficient in K562-r than in K562-s (viability of 16% and 40% respectively after 4 days in culture). Ongoing experiments utilizing siRNA against Hsp70 will help understand the link between the expression profile of Hsp proteins and the imatinib-resistant phenotype of this cell line. In conclusion, the use of a new experimental strategy, i.e. proteomic analysis by DIGE and mass spectrometry, allowed us to identify selected proteins whose patterns of expression and post-translational modification may underlie a new mechanism of resistance to imatinib in Bcr-Abl positive cells.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3181-3181 ◽  
Author(s):  
Francois-Xavi er Mahon ◽  
Sandrine Hayette ◽  
Valerie Lagarde ◽  
Franck E Nicolini ◽  
Francis Belloc ◽  
...  

Abstract Targeting the tyrosine kinase activity of Bcr-Abl is an attractive therapeutic strategy in Chronic Myeloid Leukemia (CML) and in Bcr-Abl positive Acute Lymphoblastic Leukemia. Whereas imatinib, a selective inhibitor of Bcr-Abl tyrosine kinase, is now used in frontline therapy for CML, second generation inhibitors of Bcr-Abl tyrosine kinase such as nilotinib or dasatinib have been developed. In the current study, we generated nilotinib-resistant cell lines and investigated their mechanism of resistance. Three nilotinib-resistant cell lines were obtained from the Ph-positive cell lines AR230, LAMA84 and K562. Over expression of the BCR-ABL gene was found in two nilotinib-resistant cell lines and the multidrug resistance gene (MDR-1) was found overexpressed in one of them, i.e, LAMA84 nilotinib resistant cell. The K562/DOX cell line, that displays resistance to several drugs by over expressing Pgp, was resistant to nilotinib, and this was reversed by simultaneous incubation with either verapamil or PSC833 confirming that nilotinib is a substrate of the Pgp. In one nilotinib-resistant cell line (K562-rn), we found over expression of p53/56 Lyn kinase, both at the mRNA and protein level (10- fold), and these cells were compared to their sensitive counterpart. Lyn silencing by siRNA restored sensitivity to nilotinib. Two Src kinase inhibitors (PP1 and PP2) partially restored sensitivity to nilotinib, but did not significantly inhibit Bcr-Abl tyrosine kinase activity. In contrast, dasatinib, an inhibitor of Abl and Src-family kinases, inhibited phosphorylation of both BCR-ABL and Lyn, and induced apoptosis of the Bcr-Abl cell line which over expressed p53/56 Lyn. Of 7 nilotinib-resistant CML patients, failure of nilotinib treatment was accompanied by mutations in Bcr-Abl kinase domain in 2 patients and an increase of Lyn mRNA expression (RQ-PCR) in 2 other patients. As an approach to confirm the involvement of the Lyn signalling pathway in nilotinib-resistance, we have used the Stable Isotope Labeling with Amino acids in Cell culture (SILAC) technique. The tyrosine phosphorylated protein fraction was analyzed by tandem mass spectrometry. Peptide sequencing and quantification in the nilotinib-resistant cell line identified >350 proteins, of which several were hyper-phosphorylated; functional analysis of the different candidates is in progress. In conclusion, mechanisms of resistance to nilotinib in imatinib-resistant cell lines resemble those operating in CML patients, and up-regulated Lyn kinase signalling can play an important role in nilotinib resistance.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4468-4468
Author(s):  
Alessandra Romano ◽  
Paolo Vigneri ◽  
Chiara Romano ◽  
Calogero Vetro ◽  
Stefania Stella ◽  
...  

Abstract Abstract 4468 Suppression of BCR-ABL1 catalytic activity by the tyrosine kinase inhibitor (TKI) Imatinib Mesylate (IM) has dramatically improved the natural history of Chronic Myeloid Leukemia (CML) and - to date - represents the first and most successful example of effective anti-cancer targeted therapy {Druker, 2009}. Despite the success, patients can become resistant. Since IM-resistance in CML patients occurs despite adequate suppression of BCR-ABL activity, it is likely due to the activation of other pathways, and for this reason we need to discover novel Bcr-Abl independent pathways than can become the targets of resistant cells. Therefore we used immortalized CML human cell lines K562 and LAM84, both sensitive and resistant to Imatinib, to study the signaling in sensitive/resistant cell lines following treatment with 4 different compounds. Reverse-Phase protein microarrays were used to quantitatively map 35 cell signaling pathway endpoints, including survival, proliferation, drug resistance, apoptosis, and autophagy. Cells were incubated with IM 1uM, Dasatinib 1uM, Nilotinib 1uM or LY-29400210 uM and after 2 or 12 hours were placed in a preservative that suppresses fluctuations in kinase pathway proteins (Espina, 2008). 5/35 protein endpoints were linked together and suppressed by Dasatinib, even in the resistant cell line: PLC-y-1-Tyr783, and its upstream (ShCTyr317 SrcTyr416) and downstream targets (mTORSer2448, STAT5Tyr694, ERKThr202/Tyr204) without interfering with AKT activation status on Ser473 compared to Imatinib (p=0.0031 for K562, p= 0.042 for LAM84), Nilotinib (p=0.0034 for K562, p= 0.043 for LAM84), LY-294002 (p=0.0009 for K562, p= 0.015 for LAM84). In Imatinib-sensitive cell line LAM84 there were no differences between Dasatinib and Imatinib in the modulation of the pathway, compared to IM-sensitive K562 cell line (p=0.005), thus confirming the different profile among these two CML models. Dasatinib showed a greater suppression of the PLC-y-1 pathway compared to LY-294002 in both resistant cell lines (K562, p=0.0009 and LAM84, p=0.015). These data confirm and extend the conclusions of Markova et al. (Oncogene 2010) showing PLC-y-1 as a mechanism of death in sensitive cells. Our data showed the mechanism by which second generation TKIs (dasatinib) can overcome Imatinib resistance by suppressing the PLC-y-1 pathway. Disclosures: No relevant conflicts of interest to declare.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shujun Huang ◽  
Pingzhao Hu ◽  
Ted M. Lakowski

Abstract Background Predicting patient drug response based on a patient’s molecular profile is one of the key goals of precision medicine in breast cancer (BC). Multiple drug response prediction models have been developed to address this problem. However, most of them were developed to make sensitivity predictions for multiple single drugs within cell lines from various cancer types instead of a single cancer type, do not take into account drug properties, and have not been validated in cancer patient-derived data. Among the multi-omics data, gene expression profiles have been shown to be the most informative data for drug response prediction. However, these models were often developed with individual genes. Therefore, this study aimed to develop a drug response prediction model for BC using multiple data types from both cell lines and drugs. Methods We first collected the baseline gene expression profiles of 49 BC cell lines along with IC50 values for 220 drugs tested in these cell lines from Genomics of Drug Sensitivity in Cancer (GDSC). Using these data, we developed a multiple-layer cell line-drug response network (ML-CDN2) by integrating a one-layer cell line similarity network based on the pathway activity profiles and a three-layer drug similarity network based on the drug structures, targets, and pan-cancer IC50 profiles. We further used ML-CDN2 to predict the drug response for new BC cell lines or patient-derived samples. Results ML-CDN2 demonstrated a good predictive performance, with the Pearson correlation coefficient between the observed and predicted IC50 values for all GDSC cell line-drug pairs of 0.873. Also, ML-CDN2 showed a good performance when used to predict drug response in new BC cell lines from the Cancer Cell Line Encyclopedia (CCLE), with a Pearson correlation coefficient of 0.718. Moreover, we found that the cell line-derived ML-CDN2 model could be applied to predict drug response in the BC patient-derived samples from The Cancer Genome Atlas (TCGA). Conclusions The ML-CDN2 model was built to predict BC drug response using comprehensive information from both cell lines and drugs. Compared with existing methods, it has the potential to predict the drug response for BC patient-derived samples.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4069-4069
Author(s):  
Wenyu Shi ◽  
Jian-Yong Li

Anaplastic large cell lymphoma (ALCL) is a type of CD30-expressing non-Hodgkin's lymphoma (NHL), which accounts for 2% to 3% of adult non-Hodgkin's lymphoma,accounting for 15% to 30% of children with large cell lymphoma. Anaplastic lymphoma kinase (ALK) positive ALCL is highly invasive, and currently it is generally based on CHOP combined with chemotherapy. The proportion of patients with complete relief of symptoms is as high as 90%, but the proportion of recurrence is also as high as 40%. Crizotinib is the first generation of ALK inhibitors that have been approved for the treatment of ALK+ ALCL. Unfortunately, most patients treated with crizotinib relapse after a significant initial response. The median progression-free survival of clinical trials was 10.5 months. Various mutations in the ALK kinase domain and amplification of the ALK gene copy number, activation of the alternative pathway, and tumor heterogeneity are major causes of crizotinib resistance. Studies have shown that IGF-1R interacts with NPM-ALK to promote ALK+ALCL transformation, proliferation and migration. GSK is a small molecule kinase inhibitor that inhibits both IGF-IR and ALK. Therefore, GSK with simultaneous inhibition of the bidirectional potential of IGF-IR and ALK has a promising prospect in the targeted therapy of NPM-ALK+ALCL. This study explored the inhibitory effects of GSK on NPM-ALK+ALCL and crizotinib-resistant NPM-ALK+ALCL by in vivo and in vitro experiments. In vitro experiments: The sensitivity of ALCL cell line to GSK1838705a was detected by CCK8 and flow cytometry. The expression of phosphorylation of IGF-1R and NPM-ALK signaling pathway in Karpas299 and SR786 cell lines stimulated by GSK was detected by WB method. In order to study the crizotinib resistance mutation, we established ALK+ALCL crizotinib-resistant cell lines Karpas299-R and SR786-R, and identified the resistance of Karpas299-R and SR786-R cell lines by CCK8 and flow cytometry. The drug-resistant and non-resistant strains were stimulated with gradient concentrations of crizotinib and gradient GSK, and the IC50 of the two were compared by CCK8. The WB method was used to compare the phosphorylation levels of downstream signaling pathways in drug-resistant and non-resistant strains. In vivo experiment: The ALK+ALCL and resistant-ALK+ALCL mouse model was established, and three groups of mice treated with control, GSK single drug 30 mg/kg, GSK single drug 60 mg/kg, were established. The tumor volume and body weight of the four groups were compared. Immunohistochemistry was used to compare the expression levels of key signaling molecules and apoptotic proteins in each group. SPSS statistical software draws survival curves. As the concentration of GSK gradually increases, the survival rate of ALCL cells gradually decreases. The expression of pIGF-1R, pNPM-ALK, pSTAT3, pAKT, casepase3 and other molecules decreased in the downstream signaling pathway, and the expression level of cleaved-casepase3 increased.In the crizotinib-resistant cell line, with the increase of the concentration of GSK, the apoptosis rate of the cells increased and the phosphorylation level of the downstream molecules gradually decreased. Tumor volume of three groups of mouse models: control>GSK single drug 30 mg/kg>GSK single drug 60 mg/kg. Immunohistochemistry results showed that the expression level of key signaling molecules in GSK-treated CHOP-treated mice decreased, and the expression level of apoptotic proteins increased. In this research, we explored the effects of GSK1838705A on proliferation, apoptosis, and clonogenesis of ALCL cell lines. Subsequently, we established a crizotinib-resistant cell line and noticed that GSK1838705A can effectively reduce the viability of resistant ALCL cells and significantly restrain the transmission of downstream survival signaling pathways induced by IGF1R/IR phosphorylation. Besides, we discovered that GSK1838705A inhibited the development of both crizotinib-sensitive and crizotinib-resistant ALCL tumors in the ALCL mouse model established by subcutaneous tumorigenesis. Based on the results of previous clinical trials, we put forward to use GSK1838705A as an alternative treatment strategy to overcome crizotinib-resistant ALCL. Disclosures No relevant conflicts of interest to declare.


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