To Tyrosine Kinase Inhibitors Research Articles

Protein and metabolic profiles of tyrosine kinase inhibitors co-resistant liver cancer cells.

Hepatocellular Carcinoma (HCC) patients often develop resistance to tyrosine kinase inhibitors (TKIs) like sorafenib (SR) and lenvatinib (RR). We established HCC cell lines resistant to these drugs and analyzed the correlation between protein and metabolite profiles using bioinformatics. Our analysis revealed overexpression of MISP, CHMP2B, IL-18, TMSB4X, and EFEMP1, and downregulation of IFITM3, CA4, AGR2, and SLC51B in drug-resistant cells. Differential signals are mainly enriched in steroid hormone biosynthesis, cell adhesion, and immune synapses, with metabolic pathways including cytochrome P450 drug metabolism, amino acid metabolism, and glycolysis. Proteomics and metabolomics analysis showed co-enrichment signals in drug metabolism, amino acids, glucose metabolism, ferroptosis, and other biological processes. Knocking down MISP, CHMP2B, IL-18, TMSB4X, and EFEMP1 significantly reduced drug resistance, indicating their potential as therapeutic response biomarkers. This study characterizes protein and metabolic profiles of drug-resistant HCC cells, exploring metabolite-protein relationships to enhance understanding of drug resistance mechanisms and clinical treatment.

CBX1 is involved in hepatocellular carcinoma progression and resistance to sorafenib and lenvatinib via IGF-1R/AKT/SNAIL signaling pathway.

Chromobox Homolog 1 (CBX1) plays a crucial role in the pathogenesis of numerous diseases, including the evolution and advancement of diverse cancers. The role of CBX1 in pan-cancer and its mechanism in hepatocellular carcinoma (HCC), however, remains to be further investigated. Bioinformatics approaches were harnessed to scrutinize CBX1's expression profile, its association with tumor staging, and its potential impact on patient outcomes across various cancers. Single-cell RNA sequencing data facilitated the investigation of CBX1 expression patterns at the individual cell level. The CBX1 expression levels in HCC and adjacent non-tumor tissues were quantified through Real-Time Polymerase Chain Reaction (RT-PCR), Western Blotting (WB), and Immunohistochemical analyses. A tissue microarray was employed to explore the relationship between CBX1 levels, patient prognosis, and clinicopathological characteristics in HCC. Various in vitro assays-including CCK-8, colony formation, Transwell invasion, and scratch tests-were conducted to assess the proliferative and motility properties of HCC cells upon modulation of CBX1 expression. Moreover, the functional impact of CBX1 on HCC was further discerned through xenograft studies in nude mice. CBX1 was found to be upregulated in most cancer forms, with heightened expression correlating with adverse patient prognoses. Within the context of HCC, elevated levels of CBX1 were consistently indicative of poorer clinical outcomes. Suppression of CBX1 through knockdown methodologies markedly diminished HCC cell proliferation, invasive capabilities, migratory activity, Epithelial-mesenchymal transition (EMT) processes, and resistance to Tyrosine kinase inhibitors (TKIs). Contrastingly, CBX1 augmentation facilitated the opposite effects. Subsequent investigative efforts revealed CBX1 to be a promoter of EMT and a contributor to increased TKI resistance within HCC cells, mediated via the IGF-1R/AKT/SNAIL signaling axis. The oncogenic activities of CBX1 proved to be attenuable either by AKT pathway inhibition or by targeted silencing of IGF-1R. The broad overexpression of CBX1 in pan-cancer and specifically in HCC positions it as a putative oncogenic entity. It is implicated in forwarding HCC progression and exacerbating TKI resistance through its interaction with the IGF-1R/AKT/SNAIL signaling cascade.

Dynamic Single-Cell RNA-Seq reveals mechanism of Selinexor-Resistance in Chronic myeloid leukemia

Chronic myeloid leukemia (CML) is a type of hematologic malignancies caused by BCR-ABL chimeric oncogene. Resistance to tyrosine kinase inhibitors (TKIs) leads to the progression of CML into advanced stages. Selinexor is a small molecule inhibitor that targets a nuclear transporter called Exportin 1. Combined with imatinib, selinexor has been shown to disrupt nuclear-cytoplasmic transport signal of leukemia stem cells, resulting in cell death. The objective of this study was to investigate the mechanism of drug resistance to selinexor in CML. We established K562 cell line resistant to selinexor and conducted single cell dynamic transcriptome sequencing to analyze the heterogeneity within the parental and selinexor resistant cell populations. We identified specific gene expression changes associated with resistance to selinexor. Our results revealed differential expression patterns in genes such as MT2A, TFPI, MTND3, and HMGCS1 in the total RNA, as well as MT-TW, DNAJB1, and HSPB1 in the newly synthesized RNA, between the parental and drug-resistant groups. By applying pseudo-time analysis, we discovered that a specific cluster of cells exhibited characteristics of tumor stem cells. Furthermore, we observed a gradual decrease in the expression of ferroptosis-related molecules as drug resistance developed. In vitro experiments confirmed that the combination of a ferroptosis inducer called RSL3 effectively overcame drug resistance. In conclusion, this study revealed the resistance mechanism of selinexor in CML. In conclusion, we identified a subgroup of CML cells with tumor stem cell properties and demonstrated that ferroptosis inducer improved the efficacy of selinexor in overcoming drug resistance.

Amivantamab: A Novel Advance in the Treatment of Non-small Cell Lung Cancer.

Amivantamab is a fully human bispecific monoclonal antibodyindicated for treating patients with specifically large cell lung cancer. Its dosage is based on the patient's initial body weight and is administered via intravenous infusion after dilution. Therefore, this drug is given as a strategy due to the great need for a molecule targeting epidermal growth factor receptor (EGFR) andthe mesenchymal-epithelial transition factor (MET), as acquired resistance to tyrosine kinase inhibitors (TKIs) was observed in the treatment of large cell lung cancer. This article encompasses a review of the benefits of amivantamab for patients with non-small cell lung cancer (NSCLC). This drug is the first therapy directed against this specific mutation, and unlike others, it could bind to two genetic receptors, whereas antibodies, in general, are directed towarda single receptor.

BCR::ABL1 kinase N-lobe mutants confer moderate to high degrees of resistance to asciminib

AbstractSecondary kinase domain mutations in BCR::ABL1 represent the most common cause of resistance to tyrosine kinase inhibitor (TKI) therapy in patients with chronic myeloid leukemia. The first 5 approved BCR::ABL1 TKIs target the adenosine triphosphate (ATP)–binding pocket. Mutations confer resistance to these ATP-competitive TKIs and those approved for other malignancies by decreasing TKI affinity and/or increasing ATP affinity. Asciminib, the first highly active allosteric TKI approved for any malignancy, targets an allosteric regulatory pocket in the BCR::ABL1 kinase C-lobe. As a non–ATP-competitive inhibitor, the activity of asciminib is predicted to be impervious to increases in ATP affinity. Here, we report several known mutations that confer resistance to ATP-competitive TKIs in the BCR::ABL1 kinase N-lobe that are distant from the asciminib binding pocket yet unexpectedly confer in vitro resistance to asciminib. Among these is BCR::ABL1 M244V, which confers clinical resistance even to escalated asciminib doses. We demonstrate that BCR::ABL1 M244V does not impair asciminib binding, thereby invoking a novel mechanism of resistance. Molecular dynamic simulations of the M244V substitution implicate stabilization of an active kinase conformation through impact on the α-C helix as a mechanism of resistance. These N-lobe mutations may compromise the clinical activity of ongoing combination studies of asciminib with ATP-competitive TKIs.

Integrated drug profiling and CRISPR screening identify BCR::ABL1-independent vulnerabilities in chronic myeloid leukemia

BCR::ABL1-independent pathways contribute to primary resistance to tyrosine kinase inhibitor (TKI) treatment in chronic myeloid leukemia (CML) and play a role in leukemic stem cell persistence. Here, we perform exvivodrug screening of CML CD34+ leukemic stem/progenitor cells using 100 single drugs and TKI-drugcombinations and identify sensitivities to Wee1, MDM2, and BCL2 inhibitors. These agents effectively inhibit primitive CD34+CD38- CML cells and demonstrate potent synergies when combined with TKIs. Flow-cytometry-baseddrug screening identifies mepacrine to induce differentiation of CD34+CD38- cells. We employ genome-wide CRISPR-Cas9 screening for six drugs, and mediator complex, apoptosis, and erythroid-lineage-related genes are identified as key resistance hits for TKIs, whereas the Wee1 inhibitor AZD1775 and mepacrine exhibit distinct resistance profiles. KCTD5, a consistent TKI-resistance-conferring gene, is found to mediate TKI-induced BCR::ABL1 ubiquitination. In summary, we delineate potential mechanismsfor primary TKI resistance and non-BCR::ABL1-targeting drugs, offering insights for optimizing CML treatment.

Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study

ObjectiveMutational analysis of BCR::ABL1 kinase domain (KD) is a crucial component of clinical decision algorithms for chronic myeloid leukemia (CML) patients with failure or warning responses to tyrosine kinase inhibitor (TKI) therapy. This study aimed to detect BCR::ABL1 KD mutations in CML patients with treatment resistance and assess the concordance between NGS (next generation sequencing) and Sanger sequencing (SS) in detecting these mutations.ResultsIn total, 12 different BCR::ABL1 KD mutations were identified by SS in 22.6% (19/84) of patients who were resistant to TKI treatment. Interestingly, NGS analysis of the same patient group revealed an additional four different BCR::ABL1 KD mutations in 27.4% (23/84) of patients. These mutations are M244V, A344V, E355A, and E459K with variant read frequency below 15%. No mutation was detected in 18 patients with optimal response to TKI therapy. Resistance to TKIs is associated with the acquisition of additional mutations in BCR::ABL1 KD after treatment with TKIs. Additionally, the use of NGS is advised for accurately determining the mutation status of BCR::ABL1 KD, particularly in cases where the allele frequency is low, and for identifying mutations across multiple exons simultaneously. Therefore, the utilization of NGS as a diagnostic platform for this test is very promising to guide therapeutic decision-making.

Monitoring advanced gastrointestinal stromal tumor with circulating tumor DNA.

This review explores the role of circulating tumor (ct)DNA as a biomarker for clinical decision-making and monitoring purposes in metastatic gastrointestinal stromal tumor (GIST) patients. We discuss key insights from recent clinical trials and anticipate the future perspectives of ctDNA profiling within the clinical landscape of GIST. The identification and molecular characterization of KIT/platelet-derived growth factor receptor alpha (PDGFRA) mutations from ctDNA in metastatic GIST is feasible and reliable. Such identification through ctDNA serves as a predictor of clinical outcomes to tyrosine-kinase inhibitors (TKIs) in metastatic patients. Additionally, conjoined ctDNA analysis from clinical trials reveal the evolving mutational landscapes and increase in intratumoral heterogeneity across treatment lines. Together, this data positions ctDNA determination as a valuable tool for monitoring disease progression and guiding therapy in metastatic patients. These collective efforts culminated in the initiation of a ctDNA-based randomized clinical trial in GIST, marking a significant milestone in integrating ctDNA testing into the clinical care of GIST patients. The dynamic field of ctDNA technologies is rapidly evolving and holds significant promise for research. Several trials have successfully validated the clinical utility of ctDNA in metastatic GIST, laying the foundations for its prospective integration into the routine clinical management of GIST patients.

A Path to Persistence after EGFR Inhibition.

Residual cancer cells persist even after targeted therapies, serving as a reservoir for the subsequent acquisition of genetic alterations that lead to acquired drug resistance and tumor relapse. These initial drug-tolerant persisters (DTP) are phenotypically heterogenous with transient phenotypes attributed to epigenetic, metabolic, and cell-cycle changes. DTPs are responsible for the inevitable relapse seen in EGFR-mutant non-small cell lung cancer (NSCLC) despite high initial response to tyrosine kinase inhibitor (TKI) treatment. While past in vitro studies identified diverse drivers of drug-tolerant persistence to EGFR TKIs in NSCLC, the resultant phenotypic plasticity is not well understood and in vivo models of persistence are lacking. In this issue of Cancer Research, Hu and colleagues used patient-derived xenograft models of EGFR-mutant lung cancer treated with the third-generation TKI osimertinib to investigate mechanisms of persistence at the time of maximal response. Using bulk and single-cell RNA sequencing, the authors identified a DTP transcriptional cluster mediated by the key neuroendocrine lineage transcription factor ASCL1, which triggers an epithelial-to-mesenchymal transition transcriptional program. ASCL1 overexpression increased osimertinib tolerance in vitro as well, apparently independent of its role in neuroendocrine differentiation. Interestingly, the ability of ASCL1 to induce persistence was context dependent as this occurred only in epigenetically permissive cells. Overall, these findings contribute to our understanding of DTP heterogeneity seen after osimertinib treatment and provide insights into potential therapeutic targets. See related article by Hu et al., p. 1303.

Abstract 2008: The N6-methyladenine-long noncoding RNA axis promotes drug resistance through PI3k signaling in leukemia

Abstract Disease recurrence characterized by drug resistance remains a major hurdle to the successful cancer treatment. Long noncoding RNAs (lncRNAs) and RNA N⁶-methyladenosine (m6A) have been linked to cancer recurrence. However, if and how lncRNAs and m6A coordinately determine drug resistance in tyrosine kinase (TK)-driven cancers are still unclear. We hypothesize that upon exposure to TK inhibitors (TKI), the dynamic m6A methylation epitransciptomically allows a set of proliferation/anti-apoptosis-relevant lncRNAs bearing m6A motifs to be rapidly upregulated, thus facilitating a subpopulation of cancer cells to evade TKI killing. By performing transcriptomic and epitransciptomic profiling in long-term TKI (nilotinib)-deprived leukemia resistant cells, we show that many differentially expressed lncRNAs enrich m6A, and more lncRNAs tend to have higher m6A content in resistant cells. We further demonstrate a broad clinical relevance of our findings, showing that upregulation of specific top-ranked lncRNAs (e.g., SENCR, PROX1-AS1, LN892) in TKI-resistant cell lines also occurs in leukemia patients at the diagnostic stage, blast crisis phase or in those not-responding to TKI treatment compared to chronic phase or TKI responders, respectively. Some of the upregulated lncRNAs in leukemia patients pre- and post-TKI treatment predict unfavorable outcomes and are associated with shorter survival duration. Through proliferative and clonogenic assays, we demonstrate that knockdown of SENCR, PROX1-AS1 or LN892 impairs resistant cell growth and renders resistant cells sensitive to nilotinib-induced cell death. We further found that this lncRNA upregulation is attributed to FTO-dependent m6A hypomethylation that stabilizes lncRNA transcripts. Using ectopic expression or genetic/pharmacological inhibition, we demonstrate that lncRNA upregulation empowers resistant cell growth through an activated PI3K signaling as supported by overexpression of PI3K signaling mediators (e.g., ITGA2, F2R, COL6A1). Treatment with PI3K inhibitor alpelisib sensitizes TKI-resistant cells to TKI-induced cell death and reduces leukemia burden in mice via downregulation of F2R, ITGA2, and COL6A1. In conclusion, our findings add a new layer to the complexity of mechanisms regulating leukemia cell fate under TKI selection and raise the possibility that the m6A-regulated lncRNAs represents a new non-genetic factor to affect the development and maintenance of TKI resistance; our discoveries identify a promising therapeutic target, the m6A-lncRNAs axis, for specifically the most challenging patient subpopulations who are TKI non-responders/relapsed but do not carry the acquired mutations on top of BCR/ABL; our results also uncover a strong predictor, m6A-regulated lncRNA-PI3K axis, for poorer prognosis and failure in drug response which might be a pan-cancer mechanism. Citation Format: Yanhong Tan, Changli Zhou, Sicheng Bian, Wencke Walter, Jiuxia Pang, Tao Cheng, Gang Huang, Gregor Hoermann, William Tse, Shujun Liu. The N6-methyladenine-long noncoding RNA axis promotes drug resistance through PI3k signaling in leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2008.

Abstract 5843: Exploring the implications of LPAR-1 expression in TKI-resistant NSCLC

Abstract Introduction: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer in the United States with a 5-year survival rate hovering between 20-30%. Mutations in EGFR can initially cause the tumors to respond to tyrosine kinase inhibitors (TKI). Osimertinib, a third generation TKI, is the preferred first or second line of treatment and despite being effective, recent reports indicate that patients develop resistance within 10-18 months of treatment. TKI resistance limits therapeutic options for patients and therefore, alternative strategies are being explored. In this context, Lysophosphatidic acid receptors (LPARs), a family of G-protein coupled receptors consisting of LPARs 1-6 expressed differentially in prostate, breast, ovarian, pancreatic, and brain cancers are being explored as potential targets for drug resistant cancers. Specifically, LPAR-1 has been shown to play a role in tumor cell clonogenicity, migration, and response to therapy in EGFR mutant NSCLC cells. Pharmacological inhibition or CRIPSR based deletion of LPAR-1 in EGFR mutant NSCLC cell lines HCC827 and NCI-H3255, increased TKI sensitivity by reducing clonogenic potential. Further, detailed pathway analysis in TKI sensitive and resistant EGFR mutant cell lines suggests that LPAR-1 expression influences drug sensitivity. Surprisingly, the role of LPAR-1 in TKI sensitivity is not well understood. In the present study, we have performed detailed investigation on the implications of LPAR-1 expression in the development of Osimertinib resistance. Methods: Osimertinib resistant EGFR mutant cell lines (OR) were generated using dose-escalation method and drug-tolerant persisters (DTPs) were generated using a short-term high exposure method. Gene and protein expressions were examined using qPCR and western blotting. Subcutaneous tumor cell derived xenografts were generated for in vivo studies. Results: LPAR-1 is downregulated in Osimertinib resistant NSCLC cells. Further, we also observe that LPAR-1 levels are lower in DTP cells, confirming a progressive loss of LPAR-1 with Osimertinib treatment. In vivo studies in cell derived xenografts correlated with the in vitro studies. Conclusion: Our studies indicate LPAR-1 downregulation correlates to Osimertinib resistance in EGFR mutant NSCLC cell lines. LPAR-1 downregulation has a key role in development of Osimertinib resistance. Future studies will focus on delineating LPAR-1 signaling pathways related to TKI resistance and investigating the effect of LPAR-1 overexpression using CRISPR technology. Citation Format: Varsha Srinivasan, Zhaohui Li, Raghuraman Kannan, Anandhi Upendran. Exploring the implications of LPAR-1 expression in TKI-resistant NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5843.

Abstract 5867: Early activation of HGF-cMET serves as a bypass pathway to ALK and RET tyrosine kinase inhibitors in non-small cell lung cancer

Abstract Introduction: Alterations of the HGF-cMET axis, often through MET gene amplification, can act as resistance mechanism to tyrosine kinase inhibitors (TKIs) in patients with ALK and RET rearranged non-small cell lung cancer (NSCLC). The efficacy of targeting the cMET pathway through use of MET tyrosine kinase inhibitors continues to evolve. An unresolved question is whether the HGF-cMET pathway is activated early in cancer cells after ALK and RET TKI exposure. Here, we evaluate novel pre-clinical models to better characterize the onset of MET pathway-mediated resistance using murine cell lines and orthotopic murine models. Methods: Murine Eml4-Alk (EA1 and EA3) and Trim24-Ret (TR.1) cell lines were cultured with increasing doses of alectinib (EA1 and EA3) or pralestinib or selpercatinib (TR.1) until resistance was acquired. A cell line was established from an orthotopic TR.1 tumor that progressed on selpercatinib (TR.1-1092). Passage control cells and the TKI-resistant cultures were submitted to clonogenic growth assays in targeting TKI or crizotinib (MET TKI). Control and TKI-resistant cell lines were submitted to HGF ELISA, MET immunoblotting and RNAseq. Orthotopic TR.1 tumors were established in C57BL/6 mice and after ~2 weeks, daily treatment with selpercatinib was performed for 21 days with weekly mCT to monitor tumor size. At 21 days when the tumors were beginning to progress, half the mice were treated with selpercatinib and crizotinib (a MET TKI) while the other half continued on selpercatinib alone. Results: HGF levels (pg/μg) were significantly higher in alectinib-resistant EA1 cells vs. EA3 cells and was associated with retained sensitivity to crizotinib in alectinib-resistant EA1, but not EA3 cells. MET mRNA (but not gene copy number) and HGF mRNA/protein levels in pralsetinib and selpercatinib resistant TR.1 lines were significantly higher than controls and accompanied by acquired sensitivity to crizotinib. In C57BL/6 mice bearing orthotopic TR.1 tumors, the progression on selpercatinib occurring after 2-3 weeks of treatment was reversed in a durable manner by co-treatment with crizotinib. Conclusions: The HGF-cMET axis is activated early in response to ALK and RET TKI exposure through transcriptional mechanisms without evidence of MET gene amplification. These findings unveil a potential therapeutic window to disrupt the MET bypass pathway in ALK and RET rearranged NSCLC prior to overt clinical progression. Citation Format: Tejas Patil, Trista Hinz, Sharon Pine, Hatim Saabawy, Paul Bunn, Erin L. Schenk, Ross Camidge, Lynn Heasley. Early activation of HGF-cMET serves as a bypass pathway to ALK and RET tyrosine kinase inhibitors in non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5867.

An Integrated Machine Learning Framework Identifies Prognostic Gene Pair Biomarkers Associated with Programmed Cell Death Modalities in Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is a common and lethal urological malignancy for which there are no effective personalized therapeutic strategies. Programmed cell death (PCD) patterns have emerged as critical determinants of clinical prognosis and immunotherapy responses. However, the actual clinical relevance of PCD processes in ccRCC is still poorly understood. We screened for PCD-related gene pairs through single-sample gene set enrichment analysis (ssGSEA), consensus cluster analysis, and univariate Cox regression analysis. A novel machine learning framework incorporating 12 algorithms and 113 unique combinations were used to develop the cell death-related gene pair score (CDRGPS). Additionally, a radiomic score (Rad_Score) derived from computed tomography (CT) image features was used to classify the CDRGPS status as high or low. Finally, we conclusively verified the function of PRSS23 in ccRCC. The CDRGPS was developed through an integrated machine learning approach that leveraged 113 algorithm combinations. CDRGPS represents an independent prognostic biomarker for overall survival and demonstrated consistent performance between training and external validation cohorts. Moreover, CDRGPS showed better prognostic accuracy compared to seven previously published cell death-related signatures. In addition, patients classified as high-risk by CDRGPS exhibited increased responsiveness to tyrosine kinase inhibitors (TKIs), mammalian Target of Rapamycin (mTOR) inhibitors, and immunotherapy. The Rad_Score demonstrated excellent discrimination for predicting high versus low CDRGPS status, with an area under the curve (AUC) value of 0.813 in the Cancer Imaging Archive (TCIA) database. PRSS23 was identified as a significant factor in the metastasis and immune response of ccRCC, thereby validating experimental in vitro results. CDRGPS is a robust and non-invasive tool that has the potential to improve clinical outcomes and enable personalized medicine in ccRCC patients.

Mechanisms of Resistance to Tyrosine Kinase Inhibitors in ROS1 Fusion-Positive Nonsmall Cell Lung Cancer.

ROS1 fusion-positive (ROS1+) nonsmall cell lung cancer (NSCLC) patients are highly sensitive to tyrosine kinase inhibitor (TKI) treatments. However, acquired TKI resistance remains the major hurdle preventing patients from experiencing prolonged benefits. 107 advanced or metastatic ROS1+ NSCLC patients who progressed on crizotinib and lorlatinib were recruited. Tissue and plasma samples were collected at baseline (N = 50), postcrizotinib (N = 91), and postlorlatinib (N = 21), which were all subject to the 139-gene targeted next-generation DNA sequencing. Molecular dynamics modeling was performed to investigate the effects of ROS1 mutations on binding to different TKIs. In patients with postcrizotinib and postlorlatinib samples, an accumulation of on- and off-target resistance alterations after multiple TKI treatments was observed. ROS1 G2032R and MET amplification were the most common on-target and off-target alterations, respectively. Patients with CD74-ROS1 and SLC34A2-ROS1 had longer progression-free survival (PFS) (P < 0.001) and higher rates of resistance mutations (on-target, P = 0.001; off-target, P = 0.077) than other ROS1 fusion variants following crizotinib treatment. Ten distinct on-target resistance mutations were detected after TKI therapies, of which 4 were previously unreported (ROS1 L2010M, G1957A, D1988N, L1982V). Molecular dynamics simulations showed that all 4 mutations were refractory to crizotinib, while G1957A, D1988N, and L1982V were potentially sensitive to lorlatinib and entrectinib. This study provided a comprehensive portrait of TKI-resistance mechanisms in ROS1+ NSCLC patients. Using in silico simulations of TKI activity, novel secondary mutations that may confer TKI resistance were identified and may support clinical therapeutic decision-making.

Tyrosine kinase inhibitor response of ABL-class acute lymphoblastic leukemia: the role of kinase type and SH3 domain

AbstractAcute lymphoblastic leukemia (ALL) with fusions of ABL-class tyrosine kinase genes other than BCR::ABL1 occurs in ∼3% of children with ALL. The tyrosine kinase genes involved in this BCR::ABL1-like (Ph-like) subtype include ABL1, PDGFRB, ABL2, and CSF1R, each of which has up to 10 described partner genes. ABL-class ALL resembles BCR::ABL1-positive ALL with a similar gene expression profile, poor response to chemotherapy, and sensitivity to tyrosine kinase inhibitors (TKIs). There is a lack of comprehensive data regarding TKI sensitivity in the heterogeneous group of ABL-class ALL. We observed variability in TKI sensitivity within and among each ABL-class tyrosine kinase gene subgroup. We showed that ALL samples with fusions for any of the 4 tyrosine kinase genes were relatively sensitive to imatinib. In contrast, the PDGFRB-fused ALL samples were less sensitive to dasatinib and bosutinib. Variation in ex vivo TKI response within the subset of samples with the same ABL-class tyrosine kinase gene was not associated with the ALL immunophenotype, 5′ fusion partner, presence or absence of Src-homology-2/3 domains, or deletions of IKZF1, PAX5, or CDKN2A/B. In conclusion, the tyrosine kinase gene involved in ABL-class ALL is the main determinant of TKI sensitivity and relevant for specific TKI selection.

Neutrophil to lymphocyte ratio may predict efficacy of anti-PD-1 inhibitors in advanced EGFR-mutant non-small cell lung cancer: retrospective cohort study

This study aimed to investigate the associations between the clinical characteristics and effectiveness of anti-PD-1 inhibitors in patients with EGFR-sensitive mutations, aiming to identify the potential subgroup of patients who might benefit from anti-PD-1 inhibitor treatment. Patients with advanced non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR)-sensitive mutations who received subsequent anti-PD-1 inhibitors in combination with chemotherapy/antiangiogenic agents or alone after progression to tyrosine kinase inhibitors (TKIs) were screened. Clinical characteristics, including hematological parameters, were investigated for potential correlations with clinical outcomes. Subgroup and multivariate analyses were used for further confirmation of the relationship. Kaplan–Meier curves and Cox survival regression models using the log-rank test were used for progression-free survival (PFS) and overall survival (OS) assessments between the groups. Multiple regression analysis was performed using the standard regression coefficient values. The Wilcoxon test was used for the analysis of the variation in NLR. P ≤ 0.05 was considered to indicate statistical significance. This study was a retrospective study. Twenty-two patients met the inclusion criteria and were included in the study. The median PFS was 3.05 months (95% CI, 2.9–10.2 months). The median OS was 7.30 months (95% CI, 5.2–18.1 months). PFS in low neutrophil to lymphocyte ratio (NLR ≤ 4) was significantly longer than high NLR (NLR > 4, 5.7 months versus 2.0 months, HR, 0.35, 95% CI, 0.08–0.63, P = 0.0083). The OS in the low NLR group was also significantly better than that in the high NLR group (OS, 21.3 months versus 5.0 months, HR, 0.33; 95% CI, 0.09–0.74; P = 0.0163). In the multivariate analysis, NLR was the only significant factor for OS benefits (β = 3.535, 95% CI, 1.175–10.636, P = 0.025). Further investigation revealed that front-line TKIs exposure may contribute to the elevation or decrease of NLR, and finally lead to different efficacy outcomes by anti-PD-1 inhibitors. The findings suggest that a portion of advanced NSCLC patients with low NLR characteristics (NLR ≤ 4), even those harboring EGFR-sensitive mutations, could benefit from anti-PD-1 inhibitors as further line treatment after progression to EGFR-TKIs.

Noncoding RNAs in Hepatocellular Carcinoma: Potential Applications in Combined Therapeutic Strategies and Promising Candidates of Treatment Response.

The incidence of hepatocellular carcinoma (HCC) is increasing, and 40% of patients are diagnosed at advanced stages. Over the past 5 years, the number of clinically available treatments has dramatically increased for HCC, making patient management particularly complex. Immune checkpoint inhibitors (ICIs) have improved the overall survival of patients, showing a durable treatment benefit over time and a different response pattern with respect to tyrosine kinase inhibitors (TKIs). Although there is improved survival in responder cases, a sizeable group of patients are primary progressors or are ineligible for immunotherapy. Indeed, patients with nonviral etiologies, such as nonalcoholic steatohepatitis (NASH), and alterations in specific driver genes might be less responsive to immunotherapy. Therefore, improving the comprehension of mechanisms of drug resistance and identifying biomarkers that are informative of the best treatment approach are required actions to improve patient survival. Abundant evidence indicates that noncoding RNAs (ncRNAs) are pivotal players in cancer. Molecular mechanisms through which ncRNAs exert their effects in cancer progression and drug resistance have been widely investigated. Nevertheless, there are no studies summarizing the synergistic effect between ncRNA-based strategies and TKIs or ICIs in the preclinical setting. This review aims to provide up-to-date information regarding the possible use of ncRNAs as therapeutic targets in association with molecular-targeted agents and immunotherapies and as predictive tools for the selection of optimized treatment options in advanced HCCs.

Evaluation of Apatinib-Related Hypertension and Identification of Clinical Risk Factors

Purpose. Hypertension (HTN) is one of the most common adverse drug reactions to tyrosine kinase inhibitors (TKIs) targeting vascular endothelial growth factor (VEGF), but little is known about its clinical risk factors. The aim of this study was to elucidate the association between baseline clinical characteristics and the occurrence of HTN in advanced gastric cancer (GC) patients prescribed apatinib, a commonly used VEGF-TKI in China, in a real-world setting. Patients and Methods. Fifty-five GC patients treated with apatinib from December 1st, 2016, to December 1st, 2020, were retrospectively included in electronic medical records. Adverse drug reactions were defined according to the National Cancer Institute’s Common Terminology Criteria for Adverse Events (CTCAE) v5.0. Univariate and multivariable logistic regression analyses were used to investigate potential clinical risk factors for apatinib-related HTN. Results. The incidence of apatinib-related HTN of all grades was 45.45%, and grade 3 HTN occurred in 16.36% of patients. The median maximal systolic blood pressure (SBP) during apatinib treatment was 153 mm·Hg, and the median time to event was 25 days. New-onset HTN occurred in 10/33 (30.30%) patients. Preexisting HTN (odds ratio [OR]: 4.155; 95% confidence interval [CI]: 1.252, 13.787; p=0.020) was the key independent risk factor associated with apatinib-related HTN. Conclusion. The incidence of HTN was high in patients treated with apatinib, and preexisting HTN was an independent risk factor. It is important to provide thorough and close monitoring of patients during treatment with apatinib, especially for those with preexisting HTN. This trial is registered with ChiCTR1900024531.

Erythroid variant evolving from chronic myeloid leukemia resistant to multiple tyrosine kinase inhibitors: a rare case report

BackgroundChronic myeloid leukemia (CML) is characterized by the presence of BCR::ABL1 fusion gene resulting from a reciprocal translocation, t(9;22)(q34;q11.2), leading to prominent granulocytic proliferation. The majority of patients initially present in chronic phase (CP), which may progress to advanced CML with predominantly granulocytic phenotypes in the absence of proper treatment or response to tyrosine kinase inhibitors (TKIs). We present an exceptionally rare case in which an erythroid variant emerged from a CML patient resistant to multiple TKIs. This variant is characterized by the detection of t(9;22) BCR::ABL1 fusion in erythroid precursors at various maturation stages and the absence of granulocytic progenitor hyperplasia typically seen in classical CML.Case presentationA 33-year-old female with CP-CML had received multiple TKI therapies since her initial diagnosis in 2015. Due to intolerable side effects and inconsistent adherence, she exhibited an inadequate response and developed new-onset pancytopenia. Bone marrow (BM) biopsy specimen revealed a hypercellular marrow with significant erythroid hyperplasia (90% of marrow cellularity) and a reversed myeloid-to-erythroid (M: E) ratio of 1:10. Both erythroid and myeloid cells displayed progressive maturation without dysplasia or excess blasts. Chromosomal analysis identified t(9;22) (q34;q11.2) in 19 out of 20 metaphase cells. BCR::ABL1 fusion transcript (p210 isoform) was confirmed by real-time quantitative polymerase chain reaction (RT-qPCR) and next-generation sequencing (NGS). Notably, no additional pathogenic cytogenetic abnormalities or ABL1 kinase domain mutations were detected. Here, we report the first published case of an erythroid variant emerging in a CML patient resistant to multiple TKIs—a distinct entity from the erythroid blast crisis evolving from CML.ConclusionThe erythroid variant of CML is distinguished by the presence of t(9;22) (q34;q11.2) BCR::ABL1 in predominant erythroid precursors at different stages of maturation. In a myeloid neoplasm showing predominant erythroid hyperplasia without typical CML features, it is vital to correlate morphology and t(9;22) BCR::ABL1 cytogenetic testing for accurate diagnosis, and to prevent confusion with PEL transformation in CML.

Simvastatin Overcomes Resistance to Tyrosine Kinase Inhibitors in Patient-derived, Oncogene-driven Lung Adenocarcinoma Models.

There is an unmet clinical need to develop novel strategies to overcome resistance to tyrosine kinase inhibitors (TKI) in patients with oncogene-driven lung adenocarcinoma (LUAD). The objective of this study was to determine whether simvastatin could overcome TKI resistance using the in vitro and in vivo LUAD models. Human LUAD cell lines, tumor cells, and patient-derived xenograft (PDX) models from TKI-resistant LUAD were treated with simvastatin, either alone or in combination with a matched TKI. Tumor growth inhibition was measured by the 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay and expression of molecular targets was assessed by immunoblots. Tumors were assessed by histopathology, IHC stain, immunoblots, and RNA sequencing. We found that simvastatin had a potent antitumor effect in tested LUAD cell lines and PDX tumors, regardless of tumor genotypes. Simvastatin and TKI combination did not have antagonistic cytotoxicity in these LUAD models. In an osimertinib-resistant LUAD PDX model, simvastatin and osimertinib combination resulted in a greater reduction in tumor volume than simvastatin alone (P < 0.001). Immunoblots and IHC stain also confirmed that simvastatin inhibited TKI targets. In addition to inhibiting 3-hydroxy-3-methyl-glutaryl-CoA (HMG-CoA) reductase, RNA sequencing and Western blots identified the proliferation, migration, and invasion-related genes (such as PI3K/Akt/mTOR, YAP/TAZ, focal adhesion, extracellular matrix receptor), proteasome-related genes, and integrin (α3β1, αvβ3) signaling pathways as the significantly downregulated targets in these PDX tumors treated with simvastatin and a TKI. The addition of simvastatin is a safe approach to overcome acquired resistance to TKIs in several oncogene-driven LUAD models, which deserve further investigation.