Prognostic factors of refractory NSCLC patients receiving anlotinib hydrochloride as the third- or further-line treatment

Anlotinib affects systemic lipid metabolism and induces lipid accumulation in human lung cancer cells

BACKGROUND

Anlotinib has demonstrated encouraging clinical outcomes in the treatment of lung cancer, soft tissue sarcoma and thyroid carcinoma. Several clinical studies have shown a relationship between anlotinib treatment and the occurrence of hyperlipidemia. The fundamental mechanisms, however, are still largely unclear. Here, the effect of anlotinib on lipid metabolism in an animal model and human cancer cells was evaluated and the role of lipid metabolism in the antitumor efficacy of anlotinib was investigated.

METHODS

The C57BL/6 J mouse model as well as A549 and H460 human lung cancer cell lines were used to examine the impact of anlotinib on lipid metabolism both in vivo and in vitro. Levels of triglycerides, high-density lipoprotein, low-density lipoprotein (LDL), and total cholesterol in serum or cell samples were determined using assay kits. The expression levels of crucial genes and proteins involved in lipid metabolism were measured by quantitative RT-PCR and Western blotting. Furthermore, exogenous LDL and knockdown of low-density lipoprotein receptor (LDLR) were used in H460 cells to investigate the relevance of lipid metabolism in the anticancer efficacy of anlotinib.

RESULTS

Anlotinib caused hyperlipidemia in C57BL/6 J mice, possibly by downregulating hepatic LDLR-mediated uptake of LDL cholesterol. AMP-activated protein kinase and mammalian target of rapamycin inhibition may also be involved. Additionally, anlotinib enhanced sterol response element binding protein 1/2 nuclear accumulation as well as upregulated LDLR expression in A549 and H460 cells, which may be attributable to intracellular lipid accumulation. Knockdown of LDLR reduced intracellular cholesterol content, but interestingly, anlotinib significantly improved intracellular cholesterol accumulation in LDLR-knockdown cells. Both exogenous LDL and LDLR knockdown decreased the sensitivity of cells to anlotinib.

CONCLUSIONS

Anlotinib modulates host lipid metabolism through multiple pathways. Anlotinib also exerts a significant impact on lipid metabolism in cancer cells by regulating key transcription factors and metabolic enzymes. In addition, these findings suggest lipid metabolism is implicated in anlotinib sensitivity.

Association between anlotinib trough plasma concentration and treatment outcomes in advanced non-small-cell lung cancer

Background

Efficacy and toxicities of anlotinib (ANL) show large inter-patient variation, which may partly be explained by differences in ANL exposure. Exposure-response/toxicities relationship have not been investigated for ANL. Therefore, the aim of the present study was to explore the association between the trough plasma concentration (C_trough) of ANL and treatment outcomes in Chinese patients with advanced non-small cell lung cancer (NSCLC).

Methods

Patients with advanced NSCLC who started third-line or further ANL alone therapy between January 2021 and October 2022. This study examined the ANL C_trough and clinical response evaluation at day 43 after initiation of ANL treatment. We evaluated the association between the ANL C_trough and clinical efficacy and toxicities. Additionally, this study defined patients with complete response (CR), partial response (PR) and stable disease (SD) as responder. The receiver-operating characteristic (ROC) curve combined with Youden index was identify the potential threshold value of ANL C_trough for the responder.

Results

52 patients were evaluated for analyses. The median ANL C_trough was 11.45ng/ml (range, 3.69-26.36 ng/ml). The ANL C_trough values in the PR group (n=6, 15.51 ng/ml (range, 8.19-17.37 ng/ml)) was significantly higher than in the PD group (n=8, 7.44 ng/ml (range, 5.41-14.69 ng/ml), p=0.001). The area under the ROC curve (AUC_ROC) was 0.76 (95% confidence interval (CI), 0.58-0.93; p=0.022) and threshold value of ANL C_trough predicting responder was 10.29 ng/ml (sensitivity 65.9% and specificity 87.5%, the best Youden index was 0.53). The disease control rate (DCR) was 84.6%, and DCR was significantly higher in the high-exposure group (≥10.29ng/ml) than low-exposure group (<10.29ng/ml) (96.67% vs 68.18%, p=0.005). Although there was no significant difference in ANL C_trough between grade ≥ 3 and grade ≤2 toxicities, the incidence of any grade hand-foot syndrome (70.0% vs 36.36%, p=0.016) and thyroid-stimulating hormone elevation (53.33% vs 22.73%, p =0.026) was significantly higher in the high-exposure group compared with the low-exposure group.

Conclusions

Considering these results, we propose that maintaining ANL C_trough ≥ 10.29ng/ml was important for achieving the response in advanced NSCLC patients treated with ANL.

Peripheral blood indices to predict PFS/OS with anlotinib as a subsequent treatment in advanced small-cell lung cancer

OBJECTIVE

In the phase II ALTER-1202 (NCT03059797) trial, anlotinib significantly improved progression-free survival (PFS) and overall survival (OS) in patients with advanced small-cell lung cancer (SCLC) who underwent at least 2 previous chemotherapy cycles, when compared with a placebo group. To identify potential factors for predicting efficacy and prognosis with anlotinib treatment, we analyzed hematological indices at baseline and adverse events (AEs) over the course of anlotinib treatment.

METHODS

Data were collected from March 2017 to April 2019 from a randomized, double-blind, placebo-controlled, multicenter, phase II trial of anlotinib. Eligible patients were randomly assigned 2:1 to receive anlotinib or placebo until disease progression, intolerable toxicity, or withdrawal of consent. The patients received anlotinib (12 mg) or an analogue capsule (placebo) orally once daily for 14 days every 3 weeks. The hematological indices at baseline and AEs that occurred in the initial 2 treatment cycles were recorded. The Kaplan-Meier test and Cox regression model were used to assess survival differences.

RESULTS

A total of 82 patients (81 patients with complete data) were randomly assigned to receive anlotinib, with 38 receiving a placebo as a control. Multivariate analysis indicated that an elevated neutrophil to lymphocyte ratio > 7.75 and lactate dehydrogenase > 254.65 U/L at baseline were independent risk factors for PFS; basal elevated aspartate aminotransferase > 26.75 U/L, neuron specific enolase > 18.64 ng/mL, and fibrinogen > 4.645 g/L were independent risk factors for OS. During treatment, elevated γ glutamyltransferase and hypophosphatemia were independent predictors for a poor PFS, and elevated γ-glutamyl transferase and hypercholesterolemia were independent factors for OS.

CONCLUSIONS

Our study preliminarily defined potential factors that affected the PFS and OS at baseline and during anlotinib treatment in patients with advanced SCLC. Our findings provide a basis for screening the dominant population and for dynamic efficacy monitoring with anlotinib therapy.

Screening anlotinib responders via blood-based proteomics in non-small cell lung cancer

Anlotinib has been demonstrated to be effective in advanced non-small cell lung cancer (NSCLC) patients. The response stratification of anlotinib remains unclear. In this study, plasma samples from 28 anlotinib-treated NSCLC patients (discovery cohort: 14 responders and 14 non-responders) were subjected to proteomic analysis, and plasma samples from 35 anlotinib-treated NSCLC patients (validation cohort) were subjected to validation analysis. Liquid chromatography-tandem mass spectrometry analysis was performed on samples with different time points, namely baseline (BL), best response (BR), and progression disease (PD). Bioinformatics analysis was performed to screen for the underlying differential proteins. Enzyme-linked immunosorbent assay was performed to detect plasma ARHGDIB, FN1, CDH1, and KNG1 levels respectively. The Kaplan-Meier survival analysis was used for biomarker-based responsive stratification. Our results indicated that differential proteins between responders and non-responders showed that proteomic technology potentially contributes to biomarker screening in plasma samples at BL. Furthermore, our results suggested that the detection of plasma ARHGDIB, FN1, CDH1, and KNG1 levels have potential predictive value for anlotinib response both in the discovery cohort and validation cohort. Collectively, this study offers novel insights into the value of plasma biomarker screening via proteomic examination and suggests that plasma ARHGDIB, FN1, CDH1, and KNG1 levels could be used as biomarkers for anlotinib stratification in NSCLC patients.

Risk Prediction Model for Synchronous Oligometastatic Non-Small Cell Lung Cancer: Thoracic Radiotherapy May Not Prolong Survival in High-Risk patients

Background and Purpose

On the basis of the promising clinical study results, thoracic radiotherapy (TRT)¹ has become an integral part of treatment of synchronous oligometastatic non–small cell lung cancer (SOM-NSCLC). However, some of them experienced rapid disease progression after TRT and showed no significant survival benefit. How to screen out such patients is a more concerned problem at present. In this study, we developed a risk-prediction model by screening hematological and clinical data of patients with SOM-NSCLC and identified patients who would not benefit from TRT.

Materials and Methods

We investigated patients with SOM-NSCLC between 2011 and 2019. A formula named Risk-Total was constructed using factors screened by LASSO-Cox regression analysis. Stabilized inverse probability treatment weight analysis was used to match the clinical characteristics between TRT and non-TRT groups. The primary endpoint was overall survival (OS).

Results

We finally included 283 patients divided into two groups: 188 cases for the training cohort and 95 for the validation cohort. Ten prognostic factors included in the Risk-Total formula were age, N stage, T stage, adrenal metastasis, liver metastasis, sensitive mutation status, local treatment status to metastatic sites, systemic inflammatory index, CEA, and Cyfra211. Patients were divided into low- and high-risk groups based on risk scores, and TRT was found to have improved the OS of low-risk patients (46.4 vs. 31.7 months, P = 0.083; 34.1 vs. 25.9 months, P = 0.078) but not that of high-risk patients (14.9 vs. 11.7 months, P = 0.663; 19.4 vs. 18.6 months, P = 0.811) in the training and validation sets, respectively.

Conclusion

We developed a prediction model to help identify patients with SOM-NSCLC who would not benefit from TRT, and TRT could not improve the survival of high-risk patients.

Anlotinib plus platinum‐etoposide as a first‐line treatment for extensive‐stage small cell lung cancer: A single‐arm trial

Background

Anlotinib as a third‐line or beyond therapy for extensive‐stage small‐cell lung cancer (ES‐SCLC) was studied. This single‐arm phase II trial was to investigate the value of anlotinib plus platinum‐etoposide as first‐line treatment in ES SCLC.

Methods

The primary endpoint was progression‐free survival (PFS) and objective response rate (ORR). The secondary endpoints included overall survival (OS), disease control rate (DCR), time to progression (TTP), duration of remission (DoR), and safety. The subgroups of preset liver metastasis and brain metastasis were analyzed.

Results

In 35 ES‐SCLC patients, the median PFS, ORR, DCR, and OS were 8.02 months [95% confidence interval (CI): 6.90–9.66], 85.71% (95% CI: 69.74–95.19), 94.29% (95% CI: 80.84–99.30), and 15.87 months (95% CI: 10.38–18.89), respectively. The median PFS in the liver metastasis and brain metastasis subgroups was 7.33 months (95% CI: 4.76–9.69) and 7.34 months (95% CI: 5.68–9.20), respectively. The most common AEs with grade 3–4 were hand–foot syndrome (17%), granulocytosis (17%), stomatitis (14%), hypertriglyceridemia (11%), hypercholesterolemia (11%), as well as nausea and vomiting (11%), and no grade 5 AEs were recorded.

Conclusions

Anlotinib combined with platinum‐etoposide provided an effective and safe therapy for patients with ES‐SCLC.

The Effect of Anlotinib Combined with anti-PD-1 in the Treatment of Gastric Cancer

Background

Protein tyrosine kinase (PTK) signaling pathway has been confirmed to be involved in the proliferation, differentiation and migration of tumor cells. Anlotinib, as a multi-target tyrosine kinase inhibitor, which can inhibit the expression of vascular endothelial growth factor receptor (VEGFR), has been confirmed to have significant therapeutic effects on non-small cell lung cancer, medullary thyroid carcinoma, and soft tissue sarcoma, but the therapeutic effect on gastric cancer (GC) is still unclear.

Methods

Anlotinib was screened out of 880 drugs through Cell Counting Kit 8 (CCK-8) technology. TCGA was used to detect the expression of VEGFR in GC, and Kaplan-Meier Plotter was used to analyze the correlation between the expression of VEGFR and the survival rate of GC patients. The impacts exerted by anlotinib to GC cell proliferating, migrating and invading processes were assessed through wound healing assay, transwell assay, and proliferation assay in vitro. In vivo experiments of GC were performed in C57/B6 mouse model to evaluate the function of anlotinib and PD-1 antibody.

Results

It was found from more than compunds that anlotinib has a significant inhibitory effect on GC cells. In vitro experiments show that anlotinib can significantly inhibit the proliferation, invasion and proliferation of GC cells. The expression level of VEGFR is related to the prognosis and survival of GC. GC patients with low expression of VEGFR have better survival. Anlotinib can inhibit the expression of PD-L1, and achieve better therapeutic effects after combined with PD-1 antibody.

Conclusion

The present study reveals that anlotinib down regulates PD-L1. The combination of anlotinib and PD-1 monoclonal antibody is beneficial to GC therapy.

Neutrophil-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Their Variations as a Basis for a Prediction Model in Advanced NSCLC Patients Receiving Anlotinib

Background

A phase III randomized multicenter trial (ALTER0303) reported anlotinib to be significantly beneficial to patient survival. An array of inflammatory biomarkers, such as neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR), are associated with the response to treatment in numerous types of cancer. However, we found few studies investigating the predictive value of NLR or PLR in advanced NSCLC treatment with anlotinib. Thus, our objective was to examine the relationship between NLR and PLR and treatment effect, as well as to individuate patient stratification and selection.

Methods

NLR and PLR as well as their variations were calculated in 152 advanced NSCLC patients receiving anlotinib as a third or further-line treatment at Ningbo Medical Center Lihuili Hospital between July 2018 and December 2020. The best cut-off values of NLR and PLR for predicting the treatment response were selected. Survival curves were plotted using the Kaplan–Meier method, while univariable and multivariable Cox regression were used to identify and determine dependent and independent predictors of survival.

Results

, Low disease control rate (DCR) was related with a high pre-NLR (P = 0.007), high pre-PLR (P = 0.004), and elevated post-NLR (P = 0.010). Multivariate analysis determined high pre-PLR (>205.63) and elevated post-NLR to be independently associated with poor PFS or OS. Patients whose risk score was 2 resulting from the prediction model based on pre-PLR and post-NLR had a 4.52 times higher risk of death compared to patients whose risk score was 0 (HR: 4.516, 95% CI: 2.502-8.152, P ≤ 0.001).

Conclusions

Pre-PLR and post-NLR were independent prognostic indicators in patients with advanced NSCLC receiving anlotinib as a third or further-line treatment. Patients whose risk value score was 0 had a higher therapy effectiveness and better survival.

Prognostic value of prognostic nutritional index and its variations in advanced non-small-cell lung cancer patients treated with anlotinib monotherapy

Background

Anlotinib is a third‐line or further therapy for advanced non‐small‐cell lung cancer (NSCLC). However, the lack of simple biomarkers to predict the curative effect of anlotinib creates significant unmet needs in exploring the markers. This study aimed to explore the relationship between the prognostic nutritional index (PNI) and its variations and efficacy of anlotinib.

Methods

Data for patients with advanced NSCLC who received anlotinib were collected at Ningbo Medical Center Lihuili Hospital. The data included the values of pretreatment PNI (pre‐PNI), posttreatment PNI (post‐PNI), and ΔPNI (post‐PNI minus the pre‐PNI). The Kaplan–Meier method was used to generate survival curves, whereas univariate and multivariate Cox regression analyses were used to analyze survival predictors.

Results

A high disease control rate was associated with a high pre‐PNI (p = 0.007), high post‐PNI (p = 0.000), and high ΔPNI (p = 0.006). Univariable analysis revealed that pre‐PNI ≤41.80, post‐PNI ≤42.48, and ΔPNI ≤0.20 were significant risk factors for poor survival. According to the multivariate analysis, progression‐free survival (PFS) in patients with post‐PNI ≤42.48 was significantly shorter than in patients with higher values (median PFS: 1.5 months vs. 4.0 months, p = 0.010).

Conclusions

Pre‐PNI, ΔPNI, and post‐PNI were found to be predictive factors for response in advanced NSCLC patients treated with anlotinib as a third‐line or further treatment. Only post‐PNI was a reliable predictor of PFS. Therefore, PNI and its variations, particularly post‐PNI, are affordable and accessible predictors of NSCLC patients treated with anlotinib in clinical work.

A Linear Discriminant Analysis Model Based on the Changes of 7 Proteins in Plasma Predicts Response to Anlotinib Therapy in Advanced Non-Small Cell Lung Cancer Patients

Background

Anlotinib is a multi-targeted tyrosine kinase inhibitor mainly targeting angiogenesis signaling. The predictive marker of anlotinib’s efficacy remains elusive. This study was designed to explore the predictive marker of anlotinib in non-small cell lung cancer (NSCLC).

Methods

We prospectively enrolled 52 advanced NSCLC patients who underwent at least one line of targeted therapy or chemotherapy between August 2018 and March 2020. Patients were divided into durable responders (DR) and non-durable responders (NDR) based on the median progression-free survival (PFS, 176 days). The Olink Immuno-Oncology panel (92 proteins) was used to explore the predictive protein biomarkers in plasma samples before treatment (baseline) and on the first treatment evaluation (paired).

Results

At baseline, the response to anlotinib was not significantly associated with age, gender, smoke history, histology, oligo-metastases, EGFR mutations, and other clinical characteristics. The results of PFS-related protein biomarkers at baseline were all not satisfying. Then we assessed the changes of 92 proteins levels in plasma on the first treatment evaluation. We obtained a Linear discriminant analysis (LDA) model based on 7 proteins, with an accuracy of 100% in the original data and an accuracy of 89.2% in cross validation. The 7 proteins were CD70, MIC-A/B, LAG3, CAIX, PDCD1, MMP12, and PD-L2. Multivariate Cox analysis further showed that the changes of CD70 (HR 25.48; 95% CI, 4.90–132.41, P=0.000) and MIC-A/B (HR 15.04; 95% CI, 3.81–59.36, P=0.000) in plasma were the most significant prognostic factors for PFS.

Conclusion

We reported herein a LDA model based on the changes of 7 proteins levels in plasma before and after treatment, which could predict anlotinib responders among advanced NSCLC patients with an accuracy of 100%. Further studies are warranted to verify the prediction performance of the LDA model.

Levels of pretreatment blood lipids are prognostic factors in advanced NSCLC patients treated with anlotinib

Background

Anlotinib, a small molecule for multi-target tyrosine kinase inhibition, is the third or further line of defense for treatment of non-small cell lung cancer (NSCLC). Findings from an ALTER0303 phase III trial revealed that this drug confers significant survival benefits in patients. Although numerous inflammatory biomarkers have been shown to play vital roles in treatment, the clinical significance of blood lipid levels before treatment has not been evaluated. Here, this research aims to explore the relationship between blood lipids and efficacy of anlotinib, with a view of generating insights to guide future development of convenient and individualized treatment therapies.

Methods

This study analyzed basal blood lipids levels, including triglycerides (TG), total cholesterol (TC), low density lipoprotein (LDL), and high density lipoprotein (HDL), among other variables before treatment, in 137 patients with advanced NSCLC who received anlotinib as third or further-line treatment at the Ningbo Medical Center Lihuili Hospital, between July 2018 and December 2020. We determined the best cut off value for predicting treatment responses, generated survival curves using the Kaplan–Meier method, then applied univariate and multivariate Cox regression analyses to assess predictors of survival.

Results

The entire study population recorded median progression-free survival (PFS) and overall survival (OS) of 4 (95% CI 3.142–4.858) and 8.3 (95% CI 6.843–9.757) months, respectively. Researchers observed statistically significant differences across subgroups, between blood lipid indexes with different efficacies, except in the HDL subgroup. The low disease control rate (DCR) was associated with significantly elevated TG, TC and LDL levels (P = 0.000). Multivariate analysis demonstrated that elevated TC and LDL levels were independently associated with poor PFS or OS (P ≤ 0.003). Then, we established a prediction model, and set high TC or high LDL as the risk factor, respectively. There were significant differences in PFS (p = 0.000) and OS (p = 0.012) between 0 and ≥ 1 scores.

Conclusions

Prior to anlotinib therapy, TC and LDL levels, are independent prognostic indicators for patients with advanced NSCLC treated with this drug as a third or further-line treatment option. In addition, a risk score of 0 was attributed to a combination of low TC and low LDL, and these patients were exhibited excellent efficacies and survival rates.

Bevacizumab promotes active biological behaviors of human umbilical vein endothelial cells by activating TGFβ1 pathways off-VEGF signaling

Objective: Bevacizumab is a recombinant humanized monoclonal antibody that blocks vascular endothelial growth factor (VEGF) with clear clinical benefits. However, overall survival of some cancer types remains low owing to resistance to bevacizumab therapy. While resistance is commonly ascribed to tumor cell invasion induced by hypoxia-inducible factor (HIF), less attention has been paid to the potential involvement of endothelial cells (ECs) in vasculature activated by anti-angiogenic drugs.

Methods: Human umbilical vein ECs (HUVECs), bEnd.3 cells, and mouse retinal microvascular ECs (MRMECs) were treated with bevacizumab under conditions of hypoxia and effects on biological behaviors, such as migration and tube formation, examined. Regulatory effects on TGFβ1 and CD105 (endoglin) were established via determination of protein and mRNA levels. We further investigated whether the effects of bevacizumab could be reversed using the receptor tyrosine kinase inhibitor anlotinib.

Results: Bevacizumab upregulated TGFβ1 as well as CD105, a component of the TGFβ receptor complex and an angiogenesis promoter. Elevated CD105 induced activation of Smad1/5, the inflammatory pathway and endothelial–mesenchymal transition. The migration ability of HUVECs was enhanced by bevacizumab under hypoxia. Upregulation of CD105 was abrogated by anlotinib, which targets multiple receptor tyrosine kinases including VEGFR2/3, FGFR1-4, PDGFRα/β, C-Kit, and RET.

Conclusions: Bevacizumab promotes migration and tube formation of HUVECs via activation of the TGFβ1 pathway and upregulation of CD105 expression. Anlotinib reverses the effects of bevacizumab by inhibiting the above signals.

Effects of I-125 seeds combined with anlotinib on tumor growth and bone metabolism in A549 tumor-bearing mice

PURPOSE

This study aimed to investigate the therapeutic potential of tumor suppression and mechanism for different implantation modes of iodine-125 (I-125) seeds irradiation in a mice xenograft model, and its skeletal complications.

MATERIALS AND METHODS

A total of 24 mice carrying A549 lung tumor-derived xenografts were randomly assigned to four groups, including non-radioactive (sham) seeds implantation, I-125 seeds fractional implantation, I-125 seeds single implantation and I-125 seeds single implantation combined with anlotinib. Ki67 immunohistochemistry, TUNEL immunofluorescence and CD31 morphometric analysis were used to determine the proliferation index, rate of apoptotic cells and microvessel density, respectively. Additionally, the side effects on the skeletal system in mice treated with I-125 seeds implantation were evaluated by histomorphometric staining with tartrate-resistant acid phosphate (TRAP) and alkaline phosphatase (ALP) expression in femur, tartrate-resistant acid phosphatase 5b (TRACP-5b) and procollagen type I N-terminal propeptide (PINP) levels in serum were evaluated by enzyme-linked immunosorbent assay (ELISA).

RESULTS

The I-125 seeds single and fractionated implantation had similar therapeutic effects and complications when the total number of I-125 seeds was the same. A single implantation of I-125 seeds with or without anlotinib could analogously inhibit the tumor growth in xenografts mice, while the single implantation combined with anlotinib had more effective in tumor inhibition. The results of Ki67, TUNEL and CD31 staining confirmed an evident reduction in tumor cell proliferation and angiogenesis, as well as an increase in apoptosis. A relatively integrated bone metabolism was indicated after I-125 seeds single implantation with or without anlotinib, and the results were similar in I-125 seeds fractional implantation, including a reduction in the number of TRAP-positive cells and an increase in ALP expression level. Additionally, the serum TRACP-5b activity was decreased and the serum PINP concentration was increased following I-125 seeds implantation.

CONCLUSIONS

Single and fractionated implantation pattern of I-125 radioactive seeds had similar therapeutic efficacy against tumor growth, while brachytherapy with I-125 seeds implantation may be an effective and safe treatment strategy for its potential protection against cancer treatment-induced bone loss.

Somatic copy number alterations are predictive of progression-free survival in patients with lung adenocarcinoma undergoing radiotherapy

OBJECTIVE

Lung cancer is the most common cause of cancer-related deaths worldwide. Somatic copy number alterations (SCNAs) have been used to predict responses to therapies in many cancers, including lung cancer. However, little is known about whether they are predictive of radiotherapy outcomes. We aimed to understand the prognostic value and biological functions of SCNAs.

METHODS

We analyzed the correlation between SCNAs and clinical outcomes in The Cancer Genome Atlas data for 486 patients with non-small cell lung cancer who received radiotherapy. Gene set enrichment analyses were performed to investigate the potential mechanisms underlying the roles of SCNAs in the radiotherapy response. Our results were validated in 20 patients with lung adenocarcinoma (LUAD) receiving radiotherapy.

RESULTS

SCNAs were a better predictor of progression-free survival (PFS) in LUAD (P = 0.024) than in lung squamous carcinoma (P = 0.18) in patients treated with radiotherapy. Univariate and multivariate regression analyses revealed the superiority of SCNAs in predicting PFS in patients with LUAD. Patients with stage I cancer and low SCNA levels had longer PFS than those with high SCNA levels (P = 0.022). Our prognostic nomogram also showed that combining SCNAs and tumor/node/metastasis provided a better model for predicting long-term PFS. Additionally, high SCNA may activate the cell cycle pathway and induce tumorigenesis.

CONCLUSIONS

SCNAs may be used to predict PFS in patients with early-stage LUAD with radiotherapy, in combination with TNM, with the aim of predicting long-term PFS. Therefore, SCNAs are a novel predictive biomarker for radiotherapy in patients with LUAD.

Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib

Purpose

Anlotinib is a multi-targeted tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation. It is widely used as a third-line therapy for lung cancer. However, reliable prognostic biomarkers for predicting the efficacy of anlotinib are lacking. We conducted a retrospective study to investigate the prognostic value of serological inflammatory biomarkers in anlotinib treatment.

Patients and Methods

Patients with advanced lung cancer treated with anlotinib monotherapy were enrolled. Cox regression was conducted to analyze the significant factors related to progression-free survival (PFS) and overall survival (OS). The objective response rate (ORR) was compared based on the median cut-off value of the significant inflammation index. Meanwhile, we created survival curves to compare the two groups and performed receiver operating characteristic curve analysis to assess the predictive ability of the inflammation index.

Results

Among a total of 71 patients, the median PFS was 5.5 months and the median OS was 9.5 months. The ORR and disease control rate were 16.9% and 84.5%, respectively. According to univariate and multivariate analyses, absolute neutrophil count (ANC) was the only indicator associated with both PFS (hazard ratio [HR] =1.095, 95% confidence interval [CI] 1.030–1.163, P=0.003) and OS (HR=1.057, 95% CI 1.003–1.113, P=0.037). In the group with ANC ≥4.58, the ORR was relatively lower (8.1% vs 26.5%, P=0.057), but not statistically significant; PFS and OS were relatively shorter (median PFS 5.0 [95% CI 4.4–9.6] vs 7.0 months [95% CI 4.4–5.7], P=0.024 and median OS 7.3 [95% CI 4.7–10.0] vs 17.6 months [95% CI 12.3–22.9], P < 0.001). ANC had a relatively high discriminatory ability to predict 10-month survival, with an area under the curve of 0.729, sensitivity of 82.5%, and specificity of 67.7%.

Conclusion

Elevated pre-treatment ANC was associated with a poor prognosis. Patients with lower peripheral blood levels of ANC might benefit from anlotinib.

Anlotinib as a post-third-line therapy for the treatment of advanced nonsmall cell lung cancer

There is no standard treatment strategy for the third-line and above treatment of advanced nonsmall cell lung cancer (NSCLC). This study aimed to investigate the effects of anlotinib in patients with NSCLC. Data was collected from a group of advanced lung cancer patients who received anlotinib as a third-line or post-third-line treatment between 2017 and 2019. The Kaplan-Meier method was used to calculate the progression-free survival (PFS) of these lung cancer patients treated with anlotinib. Univariate analysis was performed using the log-rank test. Forest plot was used for subgroup analysis.Our study included 44 patients. Oral anlotinib was used as a third-line treatment to treat 26 patients, and as a fourth-line or multiline treatment in 18 patients. The objective control rate was 5%, the disease control rate was 89%, and the median PFS was 4.0 months with a 95% confidence interval. Common toxicities included anorexia, hypertension, and fatigue. Anlotinib demonstrated promising efficacy and was well tolerated with controlled toxicity in patients with NSCLC.

The relationship between treatment-induced hypertension and efficacy of anlotinib in recurrent or metastatic esophageal squamous cell carcinoma

OBJECTIVE

In this post-hoc analysis, we evaluated anlotinib treatment-induced hypertension as a potential predictive factor of efficacy in esophageal squamous cell carcinoma (ESCC) patients.

METHODS

A total of 109 patients enrolled in the anlotinib group in a phase 2 trial were included. The tumor response was assessed by computed tomography at week 3, week 6, and then every 6 weeks until progressive disease was observed. The primary endpoint of the study was progression free survival (PFS). The secondary endpoints included overall survival (OS) and objective response rate (ORR).

RESULTS

In all patients, the median PFS was 3.02 months [95% confidence interval (CI): 2.63-3.65 months] and the OS was 6.11 months (95% CI: 4.40-7.79 months). The ORR was 7.34% (95% CI: 3.22%-13.95%). A total of 59 (54%) patients were diagnosed with treatment-induced hypertension (Group A), and the remaining patients (n = 50, 46%) were in Group B. Baseline prognostic factors were similar between the 2 groups. Patients in Group A had a longer PFS and OS and higher ORR. When stratifying patients using a previously known history of hypertension, treatment-induced hypertension was a predictor only for patients without previous hypertension, who had longer PFS [hazard ratio (HR): 0.40, 95% CI: 0.24-0.68] and OS (HR: 0.37, 95% CI: 0.21-0.67).

CONCLUSIONS

We showed, for the first time, a correlation between treatment-induced hypertension and better prognoses in recurrent or metastatic ESCC patients treated with anlotinib, without a previously known history of hypertension. Treatment-induced hypertension may be a simple and low cost predictor for anlotinib antitumor efficacy in these patients, which may also reflect the intended target inhibition.

Efficacy and safety of combined immunotherapy and antiangiogenic therapy for advanced non-small cell lung cancer: A two-center retrospective study

BACKGROUND

The synergistic effects of immunotherapy and antiangiogenic therapy in advanced non-small cell lung cancer (NSCLC) have been reported in both preclinical and clinical trials. Herein, we evaluated the preliminary efficacy and safety of combined immunotherapy and antiangiogenic therapy in patients with previously treated advanced NSCLC in a real-world setting.

METHODS

We conducted a 2-center, retrospective study of previously treated advanced NSCLC patients who received any anti-programmed death-1 antibody combined with antiangiogenic agent between May 2018 and March 2020.

RESULTS

In total, 57 patients were included in this study, and the objective response rate and disease control rate were 19.3% and 63.2%, respectively. The median progression-free survival (PFS) was 4.2 months (95% confidence interval [CI]: 3.2-5.2 months). Bone metastases (odds ratio [OR] not available; P < .01) and ≥ 3 treatment lines (OR 6.8; 95% CI: 1.6-29.6; P < .05) were independent negative predictors of objective response. Additionally, liver metastases (hazard ratio [HR] 3.7; 95% CI: 1.6-8.5; P < 0.01), poor performance status score (PS) (HR 3.4; 95% CI: 1.6-7.5; P < 0.01) and ≥ 3 treatment lines (HR 3.5; 95% CI: 1.7-7.4; P < 0.01) were found to be negative predictors of PFS. Eighty-nine percent of the patients experienced an adverse event.

CONCLUSIONS

Metastatic sites (bone and liver), ≥3 treatment lines and poor PS were potential negative predictors of the efficacy of immunotherapy combined with antiangiogenic therapy for treating NSCLC. Further investigations and randomized controlled trials are needed.

Anlotinib as a molecular targeted therapy for tumors

Angiogenesis has an essential role in tumor growth and metastasis, and blocking this pathway has been a successfully utilized strategy in the clinical treatment of cancer. Anlotinib (AL3818) is a novel oral receptor tyrosine kinase inhibitor targeting vascular endothelial growth factor receptor 2 and 3, fibroblast growth factor 1-4, platelet-derived growth factor receptor α and β, c-Kit and Ret. Anlotinib exerts inhibitory effects on tumor growth and angiogenesis and received its first approval as a third-line treatment for refractory advanced non-small-cell lung cancer in May 2018 and its second approval as a second-line treatment for advanced soft-tissue sarcoma in June 2019 in the People's Republic of China. Anlotinib has encouraging efficacy and a manageable and tolerable safety profile in a broad range of malignancies, including medullary thyroid cancer, renal cell cancer, gastric cancer and esophageal squamous cell carcinoma. In the present review, the preclinical and clinical trials of anlotinib were summarized with a focus on safety evaluation and adverse event management.

Association of TP53 Mutations with Response to Anlotinib Treatment in Advanced Non-Small Cell Lung Cancer

Multitargeted antiangiogenic drugs have demonstrated significant antitumor activity against a variety of solid tumors. Anlotinib, a novel oral multitargeted antiangiogenic tyrosine kinase inhibitor, was approved as a third-line treatment for advanced NSCLC in China. However, predictive biomarkers are currently insufficient and are urgently required. Herein, we report three pre-treated cases of advanced NSCLC with TP53 mutations, wherein these patients showed partial response to anlotinib. Moreover, the three patients have achieved a progression-free survival of 8, 6.5, and 5 months, respectively. The main toxicities were hypertension, hand-foot syndrome and fatigue. In conclusion, TP53 mutations may represent a biomarker for predicting salutary effects of anlotinib.

Stereotactic radiosurgery combined with anlotinib for limited brain metastases with perilesional edema in non-small cell lung cancer: Rvision-001 study protocol

INTRODUCTION

About 50% of patients with non-small cell lung cancers (NSCLC) are diagnosed with brain metastases during treatment, and stereotactic radiosurgery (SRS) is an important treatment for brain oligometastasis. Some patients with brain metastases have cerebral edema before treatment, and radiation therapy may also cause, or aggravate brain edema. Vascular endothelial growth factor (VEGF) promotes angiogenesis and increase vascular permeability, and previous studies have shown that anti-VEGF treatment can reduce brain edema. We hypothesized that anlotinib hydrochloride can reduce perilesional edema around brain metastases, create conditions for subsequent SRS, increase local control rate and improve patient prognosis.

METHODS

From one week before stereotactic radiosurgery, patients begin to receive anlotinib once a day (12 mg) from day 1-14 of a 21 day cycle, with two cycles in total. Brain magnetic resonance imaging (MRI) scan is taken before treatment, one week and one month after medication. A total of 50 patients will be included in this study. The primary endpoint is the Edema Index, and the secondary endpoints are intracranial objective response rate (iORR), intracranial progression-free survival (iPFS), objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), safety, and the rate of SRS after anlotinib treatment.

DISCUSSION

This study is a multicenter, prospective, single-arm, phase II clinical study, and explores the efficacy and tolerability of SRS with anlotinib in NSCLC patients with limited brain metastases. The aim of the study is to provide new treatment options for NSCLC patients with brain metastases.

Bronchopleural fistula in squamous cell lung cancer following anlotinib treatment: A case report

Anlotinib is a multi-target tyrosine kinase inhibitor and has been approved for the treatment of patients with advanced non-small cell lung cancer. The most common adverse events of this treatment include hypertension, fatigue, thyroid-stimulating hormone elevation, hypertriglyceridemia, hand-foot syndrome and hypercholesterolemia. The present study reported the case of a 69-year-old man with squamous cell lung cancer that experienced disease progression following first-line and second-line chemotherapy. Subsequently, anlotinib was administered as a third-line therapy. Following the second cycle of oral targeted therapy, the patient was admitted to the hospital with a one-week history of chest tightnesss, shortness of breath and cough blood-stained sputum and necrosis. Computed tomography scan showed: Bronchopleural fistula (BPF) complicating lung cancer. However, symptoms were not relieved following anti-infective treatment and the patient subsequently died of respiratory failure. To the best of our knowledge, this is the first case of bronchopleural fistula associated with the use of anlotinib in a patient with squamous cell lung cancer.

Circulating DNA-Based Sequencing Guided Anlotinib Therapy in Non-Small Cell Lung Cancer

Anlotinib is a multitargeted antiangiogenic drug, and its clinical predictor for responsive non-small cell lung cancer (NSCLC) patients is still elusive. Here, tumor-specific target capture is used to profile the circulating DNA of ALTER0303 (evaluating NSCLC clinical antitumor efficacy through anlotinib therapy) study participants. The results indicate that patients receiving no benefit can be mainly excluded via analysis of ARID1A and BRCA2 genetic profiling. For patients with no durable benefit and durable clinical benefit patients, three predictors: germline and somatic mutation burden (G+S MB), nonsynonymous and synonymous mutation burden (N+S MB), and unfavorable mutation score of circulating DNA profiling are identified. Through integrating the advantages and disadvantages of three independent predictors, the tumor mutation index (TMI) is established as a prediction model and the patients who are very likely to benefit more from anlotinib therapy are identified. Furthermore, the IDH1 exon 4 mutation is identified as an unfavorable factor for anlotinib therapy under TMI-based stratification, and the TMI plus IDH1 exon 4 mutation status potentially predicts response to anlotinib. Collectively, this study provides a circulating DNA sequencing-based stratification method for identifying anlotinib responders via a noninvasive approach, and thus potentially improves the clinical outcome of NSCLC patients receiving third-line therapy.

Integrated Transcriptome Analysis Reveals KLK5 and L1CAM Predict Response to Anlotinib in NSCLC at 3rd Line

The oral multi-targeted tyrosine kinase inhibitor (TKI) anlotinib is effective for non-small cell lung cancer (NSCLC) in clinical trials at 3rd line. However, a fraction of patients remains non-responsive, raising the need of how to identify anlotinib-responsive patients. In the present study, we aimed to screen potential biomarkers for anlotinib-responsive stratification via integrated transcriptome analysis. Comparing with the anlotinib-sensitive lung cancer cell NCI-H1975, we found 1,315 genes were differentially expressed in anlotinib-resistant NCI-H1975 cells. Among the enriched angiogenesis-related genes, we observed high expression of KLK5 and L1CAM was mostly associated with poor clinical outcomes in NSCLC patients through Kaplan-Meier survival analysis in a TCGA cohort. Moreover, an independent validation in a cohort of ALTER0303 (NCT02388919) indicated that high serum levels of KLK5 and L1CAM were also associated with poor anlotinib response in NSCLC patients at 3rd line. Lastly, we demonstrated that knockdown of KLK5 and L1CAM increases anlotinib-induced cytotoxicity in anlotinib-resistant NCI-H1975 cells. Collectively, our study suggested serum levels of KLK5 and L1CAM potentially serve as biomarkers for anlotinib-responsive stratification in NSCLC patients at 3rd line.

MicroRNA-6077 enhances the sensitivity of patients-derived lung adenocarcinoma cells to anlotinib by repressing the activation of glucose transporter 1 pathway

Anlotinib is a novel molecular targeted agent targeting the vascular endothelial growth factor receptor, which differs from the other currently available non-small cell lung cancer (NSCLC) molecular targeted drugs targeting this receptor. Although the application of anlotinib may bring new hope for patients with advanced NSCLC, the cost of treatment is high. The results of this study showed that microRNA-6077 (miR-6077) represses the expression of GLUT1 (glucose transporter 1) and enhances the sensitivity of patient-derived lung adenocarcinoma (AC) cells to anlotinib. The miR-6077, which potentially binds to the 3'untranslated region of GLUT1, was identified and screened by miRDB, an online tool; sequences of miR-6077 were prepared as lentivirus particles. A549 cells (a lung adenocarcinoma cell line) and five patient-derived AC cell lines were infected with control miRNA or miR-6077, and subsequently treated with the indicated concentration of anlotinib. The expression of proteins, such as GLUT1, was determined by western blotting. The antitumor effect of anlotinib was identified through in-vitro (e.g., MTT) or in-vivo methods (e.g., subcutaneous tumor model). Overexpression of miR-6077 repressed the expression of GLUT1 and decreased the glucose uptake, lactate production, or ATP generation in AC cells. In addition, MiR-6077 may enhance the antitumor effect of anlotinib on A549 or patient-derived AC cell lines. Therefore, our results indicated that miR-6077 represses the expression of GLUT1 and enhances the sensitivity of patients-derived lung AC cells to anlotinib.