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

Anlotinib Inhibiting Mantle Cell Lymphoma Proliferation and Inducing Apoptosis through PI3K/AKT/mTOR Pathway

BACKGROUND

This study investigates the inhibitory mechanism of anlotinib on human Mantle Cell Lymphoma (MCL) cells through in vitro and in vivo experiments.

METHODS

In vitro cellular experiments validate the effects of anlotinib on MCL cell proliferation and apoptosis. Moreover, a subcutaneous xenograft nude mice model of Mino MCL cells was established to assess the anti-tumour effect and tumour microenvironment regulation of anlotinib in vivo.

RESULTS

The results indicate that MCL cell proliferation was significantly inhibited upon anlotinib exposure. The alterations in the expression of apoptosis-related proteins further confirm that anlotinib can induce apoptosis in MCL cells. Additionally, anlotinib significantly reduced the PI3K/Akt/mTOR phosphorylation level in MCL cells. The administration of a PI3K phosphorylation agonist, 740YP, could reverse the inhibitory effect of anlotinib on MCL. In the xenograft mouse model using Mino MCL cells, anlotinib treatment led to a gradual reduction in body weight and a significant increase in survival time compared to the control group. Additionally, anlotinib attenuated PD-1 expression and elevated inflammatory factors, CD4, and CD8 levels in tumour tissues.

CONCLUSION

Anlotinib effectively inhibits proliferation and induces apoptosis in MCL both in vitro and in vivo. This inhibition is likely linked to suppressing phosphorylation in the PI3K/Akt/mTOR pathway.

Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer

BACKGROUND

The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. Nonetheless, the potential roles of the intra-tumoral immune cell abundances and peripheral blood immunological features in prognosis prediction of patients with advanced lung cancer receiving anti-angiogenesis-based therapies remain unknown. In this study, we aimed to develop an immune-based model for early identification of patients with advanced lung cancer who would benefit from anti-angiogenesis-based therapies.

METHODS

We assembled the real-world cohort of 1058 stage III-IV lung cancer patients receiving the anti-angiogenesis-based therapies. We comprehensively evaluated the tumor immune microenvironment characterizations (CD4, CD8, CD68, FOXP3, and PD-L1) by multiplex immunofluorescence (mIF), as well as calculated the systemic inflammatory index by flow cytometry and medical record review. Based on the light gradient boosting machine (LightGBM) algorithm, a machine-learning model with meaningful parameters was developed and validated in real-world populations.

RESULTS

In the first-line anti-angiogenic therapy plus chemotherapy cohort (n = 385), the intra-tumoral proportion of CD68 + Macrophages and several circulating inflammatory indexes were significantly related to drug response (p < 0.05). Further, neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), the systemic inflammation response index (SIRI), and myeloid to lymphoid ratio (M:L) were identified to construct the non-invasive prediction model with high predictive performance (AUC: 0.799 for treatment response and 0.7006-0.915 for progression-free survival (PFS)). Additionally, based on the unsupervised hierarchical clustering results, the circulating cluster 3 with the highest levels of NLR, MLR, SIRI, and M: L had the worst PFS with the first-line anti-angiogenic therapy plus chemotherapy compared to other circulating clusters (2.5 months, 95 % confidence interval 2.3-2.7 vs. 6.0-9.7 months, 95 % confidence interval 4.9-11.1, p < 0.01). The predictive power of the machine-learning model in PFS was also validated in the anti-angiogenic therapy plus immunotherapy cohort (n = 103), the anti-angiogenic monotherapy cohort (n = 284), and the second-line anti-angiogenic therapy plus chemotherapy cohort (n = 286).

CONCLUSIONS

Integrating pre-treatment circulating inflammatory biomarkers could non-invasively and early forecast clinical outcomes for anti-angiogenic response in lung cancer. The immune-based prognostic model is a promising tool to reflect systemic inflammatory status and predict clinical prognosis for anti-angiogenic treatment in patients with stage III-IV lung cancer.

Circulating tumor DNA serial monitoring of relapse and responses to tislelizumab immunotherapy as second‑line monotherapy for metastatic esophageal squamous cell carcinoma: A prospective study

Anti-programmed cell death 1 immuno-monotherapy has become the second-line standard treatment for advanced esophageal squamous cell carcinoma (ESCC) after the failure of first-line chemotherapy. However, new biomarkers are still needed to identify patients at risk of tumor progression and to select patients with advanced ESCC who are likely to benefit from immunotherapy. A total of 12 patients with advanced ESCC treated with tislelizumab were prospectively enrolled and endoscopic biopsy samples were collected. Plasma was obtained prior to and after every 2-3 treatment cycles with tislelizumab and when disease progression occurred. Targeted sequencing of 425 genes from plasma cell-free DNA, DNA from leukocytes and fixed esophageal tumor biopsies was performed. The patients underwent imaging analyses every 6-8 weeks until disease progression. The association between status of circulating tumor DNA (ctDNA) or changes in ctDNA following tislelizumab immunotherapy and response, tumor progression and survival was determined. All patients had evaluable next-generation sequencing results at the time of analysis. The results showed that patients with ESCC with liver metastasis had a significantly shorter median progression-free survival (mPFS: 1.4 vs. 11.7 months; P=0.037). TSC complex subunit 2 [11.7 months vs. not reached (NR); P=0.004] and zinc finger protein 217 (11.7 months vs. NR; P=0.022) gene mutations were the independent and negative prognostic factors for median overall survival (OS), respectively. Of note, ctDNA dynamic changes expressed as ∆ mutant molecules per milliliter of plasma (∆MMPM; MMPM detected at the first monitoring time-point after the first infusion of tislelizumab as baseline MMPM) predicted progression-free survival (PFS) and OS more accurately compared to the ctDNA change of an individual gene. ∆MMPM <20% was an independent predictor of PFS (2.8 vs. 14.6 months; P=0.029), although there was no significant difference for OS (16.7 vs. 17.6 months; P=0.830). In conclusion, changes in ctDNA levels were associated with anti-tumor effects, progression and disease-specific survival. ctDNA sequencing is promising for predicting response and progression after tislelizumab immunotherapy as second-line monotherapy for advanced ESCC [the present study was part of the RATIONALE-302 study (ClinicalTrials.gov identifier no. NCT03430843; 29.01.2018)].

Advances in Predictive Biomarkers for Anti-Angiogenic Therapy in Non-Small Cell Lung Cancer

This study aimed to explore advances in biomarkers related to anti-angiogenic therapy in patients with non-small cell lung cancer (NSCLC), thereby enhancing treatment selection, advancing personalized and precision medicine to improve treatment outcomes and patient survival rates. This article reviews key discoveries in predictive biomarkers for anti-angiogenic therapy in NSCLC in recent years, such as (1) liquid biopsy predictive biomarkers: studies have identified activated circulating endothelial cells (aCECs) via liquid biopsy as potential predictive biomarkers for the efficacy of anti-angiogenic therapy; (2) imaging biomarkers: advanced imaging technologies, such as dynamic contrast-enhanced integrated magnetic resonance positron emission tomography (MR-PET), are used to assess tumor angiogenesis in patients with NSCLC and evaluate the clinical efficacy of anti-angiogenic drugs; (3) genetic predictive biomarkers: research has explored polymorphisms of Vascular Endothelial Growth Factor Receptor-1 (VEGFR-1) and vascular endothelial growth factor-A (VEGF-A), as well as how plasma levels of VEGF-A can predict the outcomes and prognosis of patients with non-squamous NSCLC undergoing chemotherapy combined with bevacizumab. Despite progress in identifying biomarkers related to anti-angiogenic therapy, several challenges remain, including limitations in clinical trials, heterogeneity in NSCLC, and technical hurdles. Future research will require extensive clinical validation and in-depth mechanistic studies to fully exploit the potential of these biomarkers for personalized treatment.

Comparative efficacy of different combinations of acapella, active cycle of breathing technique, and external diaphragmatic pacing in perioperative patients with lung cancer: a randomised controlled trial

BACKGROUND

Acapella plus active cycle of breathing technique (ACBT), external diaphragm pacemaker (EDP) plus ACBT have been shown to facilitate the recovery of functional capacity and lung function in patients suffering from airway obstruction but the efficacy in perioperative patients with lung cancer has not been proven.

METHODS

We conducted a three-arm, prospective, randomized, assessor-blinded, controlled trial in patients with lung cancer who underwent thoracoscopic lobectomy or segmentectomy in the department of thoracic surgery, China. Patients were randomly assigned (1:1:1) to receive Acapella plus ACBT, EDP plus ACBT, or ACBT group (control group) using SAS software. The primary outcome was functional capacity, measured by the 6-minute walk test (6MWT).

RESULTS

We recruited 363 participants over 17 months: 123 assigned to the Acapella plus ACBT group, 119 to the EDP plus ACBT group, and 121 to the ACBT group. Statistically significant differences were noted for functional capacity between the EDP plus ACBT and control groups at each follow-up time (1-week follow-up: difference = 47.25 m, 95% CI, 31.56-62.93; P < 0.001; and 1-month follow-up: difference = 49.72 m, 95% CI, 34.04-65.41; P < 0.001), between the Acapella plus ACBT and control groups at postoperative week 1 (difference = 35.23 m, 95% CI, 19.30-51.16; P < 0.001) and postoperative month 1 (difference = 34.96 m, 95% CI, 19.03-50.89; P < 0.001), and between the EDP plus ACBT and Acapella plus ACBT groups at 1-month follow-up (difference = 14.76 m, 95% CI, 1.34-28.19; P = 0.0316).

CONCLUSION

EDP plus ACBT and Acapella plus ACBT significantly improved functional capacity and lung function in perioperative patients with lung cancer, compared with single-model ACBT, and the effects of EDP plus ACBT were clearly superior to those of other programs.

TRIAL REGISTRATION

The study was registered in the clinical trial database (clinicaltrials.gov) on June 4, 2021 (No. NCT04914624).

Advances in liquid biopsy-based markers in NSCLC

Lung cancer is the second most-frequently occurring cancer and the leading cause of cancer-associated deaths worldwide. Non-small cell lung cancer (NSCLC), the most common type of lung cancer is often diagnosed in middle or advanced stages and have poor prognosis. Diagnosis of disease at an early stage is a key factor for improving prognosis and reducing mortality, whereas, the currently used diagnostic tools are not sufficiently sensitive for early-stage NSCLC. The emergence of liquid biopsy has ushered in a new era of diagnosis and management of cancers, including NSCLC, since analysis of circulating tumor-derived components, such as cell-free DNA (cfDNA), circulating tumor cells (CTCs), cell-free RNAs (cfRNAs), exosomes, tumor-educated platelets (TEPs), proteins, and metabolites in blood or other biofluids can enable early cancer detection, treatment selection, therapy monitoring and prognosis assessment. There have been great advances in liquid biopsy of NSCLC in the past few years. Hence, this chapter introduces the latest advances on the clinical application of cfDNA, CTCs, cfRNAs and exosomes, with a particular focus on their application as early markers in the diagnosis, treatment and prognosis of NSCLC.

Paclitaxel Has a Reduced Toxicity Profile in Healthy Rats After Polymeric Micellar Nanoparticle Delivery

Background

Nanocarrier platforms have been indicated to have great potential in clinical practice to treat non-small cell lung cancer (NSCLC). Our previous Phase III clinical study revealed that polymeric micellar paclitaxel (Pm-Pac) is safe and efficacious in advanced NSCLC patients. However, the histopathological-toxicological profile of Pm-Pac in mammals remains unclear.

Methods

We examined the Pm-Pac-induced antitumour effect in both A549/H226 cells and A549/H226-derived xenograft tumour models.. And then, we evaluated the short-term and long-term toxicity induced by Pm-Pac in healthy Sprague‒Dawley (SD) rats. The changes in body weight, survival, peripheral neuropathy, haematology, and histopathology were studied in SD rats administered Pm-Pac at different dosages.

Results

In the A549-derived xenograft tumour model, better therapeutic efficacy was observed in the Pm-Pac group than in the solvent-based paclitaxel (Sb-Pac) group when an equal dosage of paclitaxel was administered. Toxicity assessments in healthy SD rats indicated that Pm-Pac caused toxicity at an approximately 2- to 3-fold greater dose than Sb-Pac when examining animal body weight, survival, peripheral neuropathy, haematology, and histopathology. Interestingly, based on histopathological examinations, we found that Pm-Pac could significantly decrease the incidences of paclitaxel-induced brain and liver injury but could potentially increase the prevalence of paclitaxel-induced male genital system toxicity.

Conclusion

This study introduces the toxicological profile of the engineered nanoparticle Pm-Pac and provides a novel perspective on the Pm-Pac-induced histopathological-toxicological profile in a rat model.

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.

Blood-based tumour mutation index act as prognostic predictor for immunotherapy and chemotherapy in non-small cell lung cancer patients

BACKGROUND

Circulating tumour DNA (ctDNA)-based sequencing might provide a simple test for the stratified model of non-small cell lung cancer (NSCLC). Here, we aimed to assess the ctDNA sequencing-based tumour mutation index (TMI) model for screening responders (from non-responders) among NSCLC patients who received monotherapy with docetaxel or atezolizumab.

METHODS

We performed a retrospective analysis of the POPLAR (NCT01903993) and OAK (NCT02008227) trials. We identified three biomarkers, blood tumour mutation burden (bTMB), sensitive blood tumour mutation burden (sbTMB) and unfavourable mutation score (UMS), of the ctDNA profiles. After integrating the advantages and disadvantages of the three independent biomarkers, we developed the TMI model and identified NSCLC patients who may benefit from monotherapy with docetaxel or atezolizumab in terms of overall survival (OS).

RESULTS

The TMI model as a stratified biomarker for docetaxel responders provided a median OS duration of 5.55 months longer than non-responders in the OAK cohort, with a significantly decreased hazard ratio (HR). Moreover, atezolizumab responders had a 10.21-month OS advantage over atezolizumab non-responders in the OAK cohort via TMI stratification, and the HR was also decreased significantly. The TMI demonstrated effectiveness for stratifying responders in the POPLAR cohort. Importantly, we found that the TMI model could screen additional responders upon combining the cohorts from the POPLAR and OAK trials after adjustment.

CONCLUSION

In the present study, we provide a novel TMI model for screening responders (from non-responders) among NSCLC patients who received the 2nd-line monotherapy with docetaxel or atezolizumab. We believe that the biomarker TMI will potentially be effective for the clinical treatment of NSCLC in the future.

Polymeric micellar paclitaxel (Pm-Pac) prolonged overall survival for NSCLC patients without pleural metastasis

Nanoparticle polymeric micellar paclitaxel (Pm-Pac) has been demonstrated to have a safety profile and efficacy in advanced non-small cell lung cancer (NSCLC) patients. However, whether Pm-Pac could prolong overall survival (OS) for specific advanced NSCLC patients is still unknown. In the present study, a total of 448 patients were randomly assigned (2:1) by the permuted block algorithm to receive Pm-Pac plus cisplatin or solvent-based paclitaxel (Sb-Pac) plus cisplatin (NCT02667743). We performed subgroup analysis based on metastatic status to identify the potential benefit patients. Our results indicated that the metastatic profiles were similar between the Sb-Pac plus cisplatin cohort and the Pm-Pac plus cisplatin cohort. Several subgroups (Metastases = 2, Bone metastasis, No pleural metastasis, etc.) were observed to have increased progression-free survival (PFS) due to Pm-Pac plus cisplatin. Importantly, we found the first evidence that Pm-Pac potentially prolonged OS with a favourable safety profile in NSCLC patients without pleural metastasis. Collectively, this study provides a novel perspective on the development of nanomedicine to investigate chemotherapeutic efficacy and toxicity and provides the first clinical evidence that Pm-Pac administration not only prolongs PFS but also prolongs OS with a favourable safety profile in advanced NSCLC patients without pleural metastasis.

Association Between Obesity and Poor Prognosis in Patients Receiving Anlotinib for Advanced Non-Small Cell Lung Cancer

Background: Anlotinib is a novel anti-angiogenesis drug. In non-small cell lung cancer (NSCLC), high body mass index (BMI) was not associated with worse survival in patients treated with bevacizumab compared with those with normal or low BMI. However, it remains unknown whether such an association still exists in NSCLC patients receiving anlotinib therapy. Hence, we conducted this study to investigate whether BMI is associated with clinical outcomes in patients treated with anlotinib for advanced NSCLC. Methods: Data of 554 patients from the ALTER-0302 and the ALTER-0303 trials were analyzed in this study. The patients were classified into non-obesity (BMI <28 kg/m²) and obesity (BMI ≥28 kg/m²) subgroups. The primary endpoint was overall survival (OS). The secondary endpoints included progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). OS was defined as the interval between the first drug administration and death. PFS was defined as the time span from the date of initiating the treatment to the first documented progression or death from any cause, whichever occurred first. ORR included complete response (CR) and partial response (PR). Results: There were 354 patients (63.9%) who received anlotinib in this study. Restricted cubic spline model showed a U-shaped relation between BMI and the risk of death in the anlotinib group. In a multivariable Cox regression model, a trend of worse overall survival was observed in obese patients who received anlotinib compared with placebo (HR, 2.33; 95% CI, 0.77-7.06; p = 0.136). The interaction between BMI stratification and treatment was significant for OS (P for interaction = 0.038). Conclusion: Our results revealed a U-shaped relationship between BMI and risk of death in patients receiving anlotinib for advanced NSCLC. More importantly, obesity (BMI ≥28 kg/m²) might be a potential predictor of use of anlotinib in advanced NSCLC.

Multi-Omics Signatures Identification for LUAD Prognosis Prediction Model Based on the Integrative Analysis of Immune and Hypoxia Signals

Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. However, the understanding of the potential mechanism behind LUAD initiation and progression remains limited. Increasing evidence shows the clinical significance of the interaction between immune and hypoxia in tumor microenvironment. To mine reliable prognostic signatures related to both immune and hypoxia and provide a more comprehensive landscape of the hypoxia-immune genome map, we investigated the hypoxia-immune-related alteration at the multi-omics level (gene expression, somatic mutation, and DNA methylation). Multiple strategies including lasso regression and multivariate Cox proportional hazards regression were used to screen the signatures with clinical significance and establish an incorporated prognosis prediction model with robust discriminative power on survival status on both the training and test datasets. Finally, combing all the samples, we constructed a robust model comprising 19 signatures for the prognosis prediction of LUAD patients. The results of our study provide a comprehensive landscape of hypoxia-immune related genetic alterations and provide a robust prognosis predictor for LUAD patients.

The centromere-associated protein CENPU promotes cell proliferation, migration, and invasiveness in lung adenocarcinoma

CENPU, encoding an important factor involved in kinetochore assembly during mitosis, is associated with shorter survival rates in lung adenocarcinoma (LUAD) patients. CENPU promotes growth rates and invasive behavior of LUAD cells; however, its mechanism of action in LUAD progression remains to be elucidated. CENPU mRNA and protein expression were elevated in LUAD tumors, and high CENPU gene expression was associated with inferior survival prognosis in LUAD patients. CENPU knockdown inhibited LUAD cell proliferation, clone formation, migration, invasion, and epithelial-mesenchymal transition (EMT) in addition to inducing cell cycle arrest and apoptosis in vitro and reduced LUAD xenograft tumor growth in vivo. Furthermore, we identified CENPU-regulated genes significantly enriched for proliferation and apoptosis pathways, and identified HSP Family Member C10 (DNAJC10) as putative effector of CENPU. CENPU knockdown produced DNAJC10 protein downregulation, and DNAJC10 overexpression partially rescued the phenotypic effects of CENPU knockdown in LUAD cells. Moreover, CENPU's coiled-coil domain was essential for CENPU's phenotypic effects in LUAD cells. In conclusion, the kinetochore component CENPU plays a critical role in LUAD cell proliferation and invasiveness. Targeting CENPU-DNAJC10 axis may inhibit LUAD tumor cell proliferation and metastasis.

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.

DNA Damage Response and Repair Gene Alterations Increase Tumor Mutational Burden and Promote Poor Prognosis of Advanced Lung Cancer

DNA damage response and repair (DDR) gene alterations increase tumor-infiltrating lymphocytes, genomic instability, and tumor mutational burden (TMB). Whether DDR-related alterations relate to therapeutic response and prognosis in lung cancer lacking oncogenic drivers remains unknown. Pretherapeutic cancer samples of 122 patients [86 non-small cell lung cancer and 36 small cell lung cancer (SCLC)] harboring no EGFR/ALK alterations were collected. Through whole-exome sequencing, we outlined DDR mutational landscape and determined relationships between DDR gene alterations and TMB or intratumoral heterogeneity. Then, we evaluated the impacts of DDR gene alterations on therapeutic response and prognosis and established a DDR-based model for prognosis prediction. In addition, we investigated somatic interactions of DDR genes and immunomodulatory genes, immune expression patterns, immune microenvironment, and immune infiltration characteristics between DDR-deficient and DDR-proficient samples. Samples from cBioportal datasets were utilized for verification. We found that deleterious DDR gene alterations were closely associated with higher TMB than proficient-types (p < 0.001). DDR mechanisms attach great importance to the determination of patients’ prognosis after chemotherapy, and alterations of base excision repair pathway in adenocarcinoma, nucleotide excision repair in squamous carcinoma, and homologous recombination pathway in SCLC tend to associate with worse progression-free survival to first-line chemotherapy (all p < 0.05). A predictive nomogram model was constructed incorporating DDR-related alterations, clinical stage, and smoking status, with the area under curve values of 0.692–0.789 for 1- and 2-year receiver operating characteristic curves in training and testing cohorts. Furthermore, DDR-altered tumors contained enhanced frequencies of alterations in various genes of human leukocyte antigen (HLA) class I pathway including TAP1 and TAP2 than DDR-proficient samples. DDR-deficient types had lower expressions of STING1 (p = 0.01), CD28 (p = 0.020), HLA-DRB6 (p = 0.014) in adenocarcinoma, lower TNFRSF4 (p = 0.017), and TGFB1 expressions (p = 0.033) in squamous carcinoma, and higher CD40 (p = 0.012) and TNFRSF14 expressions (p = 0.022) in SCLC. DDR alteration enhanced activated mast cells in adenocarcinoma (p = 0.044) and M2 macrophage in squamous carcinoma (p = 0.004) than DDR-proficient types. Collectively, DDR gene alterations in lung cancer without oncogenic drivers are positively associated with high TMB. Specific DDR gene alterations tend to associate with worse progression-free survival to initial chemotherapy.

TP53 Mutation Status and Biopsy Lesion Type Determine the Immunotherapeutic Stratification in Non-Small-Cell Lung Cancer

Immunotherapy, a chemotherapy-free process, has emerged as a promising therapeutic strategy to prolong the overall survival (OS) of patients with non-small-cell lung cancer (NSCLC). However, effective stratification factors for immunotherapy remain unclear. The purpose of this study was to discuss the potential stratification factors of NSCLC immunotherapy using immune checkpoint inhibitors (ICIs) by integrating genomic profiling and tumor lesion–type information. In this study, 344 patients with NSCLC, whose clinical and tissue (including metastatic and primary lesions) mutation information was available, were included. The potential gene mutation status for predicting the outcomes of immunotherapy was screened by comparing the difference in mutation frequency between responders and non-responders. Our results indicated that the potential predictors of immunotherapy were significantly different, especially between patients with TP53(+) (including metastatic and primary lesions) and TP53(−) (including metastatic and primary lesions). According to this classification, patients with NSCLC who suggested immunotherapy had a higher OS than those who did not (25 months vs. 7 months, P < 0.0001, hazard ratio = 0.39). Collectively, this study provides a new perspective for screening immunotherapy predictors in NSCLC, suggesting that the TP53 mutation status and source of biopsy tissue should be considered during the development of immunotherapy biomarkers.

ctDNA-Profiling-Based UBL Biological Process Mutation Status as a Predictor of Atezolizumab Response Among TP53-Negative NSCLC Patients

Atezolizumab, an immune checkpoint inhibitor, has been approved for use in clinical practice in non-small cell lung cancer (NSCLC) patients, but potential biomarkers for response stratification still need further screening. In the present study, a total of 399 patients with high-quality ctDNA profiling results were included. The mutation status of ubiquitin-like conjugation (UBL) biological process genes (including ABL1, APC, LRP6, FUBP1, KEAP1, and TOP2A) and clinical information were further integrated. The results suggested that the patients with the clinical characteristics of male or history of smoking had a higher frequency of UBL mutation positivity [UBL (+)]; the patients who were UBL (+) had shorter progression-free survival (PFS) (1.69 vs. 3.22 months, p = 0.0007) and overall survival (8.61 vs. 16.10 months, p < 0.0001) than those patients with UBL mutation negativity [UBL (–)]; and more promising predictive values were shown in the smoker subgroup and ≤ 3 metastasis subgroup. More interestingly, we found the predictor has more performance in TP53-negative cohorts [training in an independent POPLAR and OAK cohorts (n = 200), and validation in an independent MSKCC cohort (n = 127)]. Overall, this study provides a predictor, UBL biological process gene mutation status, not only for identifying NSCLC patients who may respond to atezolizumab therapy but also for screening out the potential NSCLC responders who received other immune checkpoint inhibitors.

The molecular tumor burden index as a response evaluation criterion in breast cancer

Circulating tumor DNA (ctDNA) is a potential biomarker of prognosis and therapeutic response. We conducted this study to explore the role of the molecular tumor burden index (mTBI) in ctDNA as a therapeutic response and prognostic biomarker in a larger cohort prospective phase III randomized multicenter study. We collected 291 plasma samples from 125 metastatic breast cancer patients from the CAMELLIA study (NCT01917279). Target-capture deep sequencing of 1021 genes was performed to detect somatic variants in ctDNA from the plasma samples. The pretreatment mTBI value was correlated with tumor burden (P = 0.025). Patients with high-level pretreatment mTBI had shorter overall survival than patients with low-level pretreatment mTBI, and the median overall survival was 40.9 months and 68.4 months, respectively (P = 0.011). Patients with mTBI decrease to less than 0.02% at the first tumor evaluation had longer progression-free survival and overall survival (P < 0.001 and P = 0.007, respectively). The mTBI has good sensitivity to identify complete response/partial response and progressive disease based on computed tomography scans (88.5% and 87.5%, respectively). The patients classified as molecular responders had longer progression-free survival and overall survival than the nonmolecular responders in the overall cohort (P < 0.001 and P = 0.036, respectively), as well as in the cohort in which computed tomography scans were defined as representing stable disease (P = 0.027 and P = 0.015, respectively). The mTBI in ctDNA detected in liquid biopsies is a potential biomarker of therapeutic response and prognosis in patients with metastatic breast cancer.

Response to first-line treatment predicts progression-free survival benefit of small-cell lung cancer patients treated with anlotinib

Background

Anlotinib significantly extended progression‐free survival (PFS) and overall survival (OS) in small‐cell lung cancer (SCLC) as third or later line treatment.

Methods

In this study, we retrospectively analyzed the efficacy and safety of anlotinib in the clinical practice and aimed to identify risk factors for predicting the clinical benefit of anlotinib in SCLC patients. 29 SCLC patients treated with anlotinib monotherapy or combination therapy as second or later line treatment were included. PFS, OS, objective response rate (ORR), disease control rate (DCR), and adverse events (AEs) were analyzed.

Results

In whole patients, the median PFS was 2.1 months (95% confidence interval (CI): 1.1–3.2 months); The ORR and DCR were 10.3% and 48.3%, respectively; The median OS was 7.2 months (95%CI: 3.2–11.2 months). Cox regression analysis demonstrated that response to first‐line treatment was the independent risk factor for PFS. The ORR (20.0% vs. 0%) and DCR (53.3% vs. 42.9%) were promoted in patients treated with anlotinib combination therapy comparing to anlotinib monotherapy. The most common AEs were hoarseness, fatigue, decreased appetite, oral mucositis, and anemia. No treatment‐related AEs graded 3 or more.

Conclusion

Anlotinib is an effective option for SCLC patients with tolerable toxicity as second or later line treatment. Patients sensitive to first‐line treatment had longer PFS when treated with anlotinib. Anloitnib combined with other therapy increased the efficacy without adding toxicity.

Equivalent efficacy study of QL1101 and bevacizumab on untreated advanced non-squamous non-small cell lung cancer patients: a phase 3 randomized, double-blind clinical trial

OBJECTIVE

This phase 3 study aimed to test equivalence in efficacy and safety for QL1101, a bevacizumab analogue in Chinese patients with untreated locally advanced non-squamous non-small cell lung cancer (NSCLC).

METHODS

Eligible patients were randomly assigned 1:1 to receive carboplatin and paclitaxel in combination with either QL1101 or bevacizumab, 15 mg/kg every 3-week for 6 cycles. This was followed by maintenance treatment with single agent QL1101 every 3-week. The primary end-point was objective response rate (ORR), with secondary end-points being progression-free survival (PFS), overall survival (OS), disease control rate (DCR), and adverse events (AEs).

RESULTS

Of 675 patients, 535 eligible patients were randomized to the QL1101 group (n = 269) and bevacizumab group (n = 266). ORRs were 52.8% and 56.8%, respectively, for the QL1101 and bevacizumab groups, with an ORR hazard ratio 0.93 (95% confidence interval: 0.8-0131.1). The PFS, OS, DCR, and AEs were comparable between the 2 groups, which remained the same after stratification according to epidermal growth factor receptor mutation or smoking history.

CONCLUSIONS

QL1101 showed similar efficacy and safety profiles as compared to bevacizumab among Chinese patients with untreated locally advanced non-squamous NSCLC.

[Research Progress of Small Molecule Anti-angiogenic Drugs in Non-small Cell Lung Cancer]

肺癌是世界上发病率最高的癌症之一，且尚无二线进展后的标准治疗方案，而肿瘤血管生成目前已被确定为恶性肿瘤的重要治疗靶点，小分子多靶点血管激酶抑制剂可通过抑制血管生成相关信号通路，抑制肿瘤血管的生成。目前已开展多项小分子抗血管生成药物治疗非小细胞肺癌的临床试验，且已有部分血管内皮生长因子受体酪氨酸激酶抑制剂（vascular endothelial growth factor receptor-tyrosine kinase inhibitors, VEGFR-TKIs）获批治疗晚期非小细胞肺癌，本文基于国内外多项小分子抗血管生成药物治疗非小细胞肺癌的发展现状，归纳了多个VEGFR-TKIs及成纤维细胞生长因子受体（fibroblast growth factor receptor, FGFR）-TKI单药或联合[包括分别与化疗、表皮生长因子受体（epidermal growth factor receptor, EGFR）-TKIs、免疫治疗、放疗等联合）]治疗非小细胞肺癌的疗效与安全性研究，同时探讨了VEGFR-TKIs可能存在的耐药机制及疗效预测指标等，并对未来抗血管治疗非小细胞肺癌的发展趋势以及存在的潜在问题进行展望，同时为肺癌后续的精准治疗及个体化治疗提供新的思路。

Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma

Rationale: Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating cell-free DNA (cfDNA) profiling for the outcome of first-line chemotherapy in patients with advanced LUSC. Methods: Peripheral blood samples of 155 patients from a phase IV trial and 42 cases from an external real-world cohort were prospectively collected. We generated a copy number variations-based classifier via machine learning algorithm to integrate molecular profiling of cfDNA, named RESPONSE SCORE (RS) to predict the treatment outcome. To monitor the treatment efficacy, cfDNA samples collected at different time points were subjected to an ultra-deep sequencing platform. Results: The results showed that patients with high RS showed substantially higher objective response rate than those with low RS in training set (P < 0.001), validation set (P < 0.001) and real-world cohort (P = 0.019). Furthermore, a significant difference was observed in both progression-free survival (training set, P < 0.001; validation set: P < 0.001; real-world cohort: P = 0.019) and overall survival (training set, P < 0.001; validation set: P = 0.037) between high and low RS group. Notably, variant allele frequency (VAF) calculated from an ultra-deep sequencing platform significantly reduced in patients experienced a complete or partial response after 2 cycles of chemotherapy (P < 0.001), while it significantly increased in these of non-responder (P < 0.001). Moreover, VAF undetectable after 2 cycles of chemotherapy was correlated with markedly better objective response rate (P < 0.001) and progression-free survival (P < 0.001) than those with detectable VAF. Conclusions: These findings indicated that the RS, a circulating cfDNA sequencing-based stratification index, could help to guide first-line chemotherapy in advanced LUSC. The change of VAF is valuable to monitor the treatment response.

Anlotinib Plus S-1 for Patients with EGFR Mutation-Negative Advanced Squamous Cell Lung Cancer with PS Scores of 2-3 After Progression of Second-Line or Later-Line Treatment

Objective

The study aimed to analyze the efficacy and safety of combination regimen of anlotinib and S-1 for Chinese patients with EGFR mutation-negative advanced squamous cell lung cancer (SqCLC) with poor performance status (PS,2–3) after progression of second-line or later-line chemotherapy.

Methods

Clinical data of 70 SqCLC patients with PS scores of 2–3 treated in the First Affiliated Hospital of Guangzhou Medical University between January 1, 2018 to September 31, 2019 who failed second- or more-line treatment were analysed retrospectively. The patients were divided into two treatment groups: anlotinib (12mg) plus S-1 (25mg) combination group and anlotinib (12mg) monotherapy group. The efficacy and adverse reactions of the two groups were compared.

Results

In terms of the short-term efficacy, there were no significant differences in objective response rate (ORR) (20.0% vs 10.0%, p = 0.464) and disease control rate (DCR) (75.0% vs 60.0%, p = 0.181) between the two groups. As for the long-term efficacy, there was no significant difference in progression-free survival (PFS) between the two groups (3.87±0.29 months vs 3.00±0.24 months, p=0. 11). The overall survival (OS) of patients in the combination group was longer than S1 group (8.07±0.56 months vs 6.17±0.42 months, p=0.022).

Conclusion

Advanced SqCLC patients with higher PS scores still benefit from anlotinib and S-1 combination regimen, even after they failed second-line or later-line systemic treatment.

Salvage anlotinib showed sustained efficacy in heavily pretreated EGFR wild-type lung adenocarcinoma: A case report and review of the literature

RATIONALE

Anlotinib has been proved to be effective in advanced refractory non-small cell lung cancer.

PATIENT CONCERNS

A 47-year-old female non-smoker was admitted due to persistent chest tightness for a month.

DIAGNOSES

Epidermal growth factor receptor (EGFR) wild-type advanced primary lung adenocarcinoma without brain or bone metastasis.

INTERVENTIONS

The patient failed 2 lines of pemetrexed/docetaxel plus carboplatin and third-line erlotinib. Fourth-line anlotinib was administered thereafter.

OUTCOMES

The pulmonary lesions showed partial remission 5 months after anlotinib monotherapy. The patient demonstrated a progression-free survival of more than 7 months and an overall survival of >12 months. The adverse events including hypertension and fatigue were well-tolerated.

LESSONS

Salvage anlotinib might be a reasonable choice in EGFR wild-type lung adenocarcinoma after failure of chemotherapy. Further well-designed trials are warranted to verify this occasional finding.

Chromatin accessibility analysis reveals that TFAP2A promotes angiogenesis in acquired resistance to anlotinib in lung cancer cells

Anlotinib, a multitarget tyrosine kinase inhibitor, is effective as a third-line treatment against non-small cell lung cancer (NSCLC). However, acquired resistance occurs during its administration. To understand the molecular mechanisms of anlotinib resistance, we characterized chromatin accessibility in both the parental and anlotinib-resistant lung cancer cell line NCI-H1975 through ATAC-seq. Compared with the parental cells, we identified 2666 genomic regions with greater accessibility in anlotinib-resistant cells, in which angiogenesis-related processes and the motifs of 21 transcription factors were enriched. Among these transcription factors, TFAP2A was upregulated. TFAP2A knockdown robustly diminished tumor-induced angiogenesis and partially rescued the anti-angiogenic activity of anlotinib. Furthermore, transcriptome analysis indicated that 2280 genes were downregulated in anlotinib-resistant cells with TFAP2A knocked down, among which the PDGFR, TGF-β, and VEGFR signaling pathways were enriched. Meanwhile, we demonstrated that TFAP2A binds to accessible sites within BMP4 and HSPG2. Collectively, this study suggests that TFAP2A accelerates anlotinib resistance by promoting tumor-induced angiogenesis.

Durable efficacy of anlotinib in a patient with advanced thymic squamous cell carcinoma after multiline chemotherapy and apatinib: A case report and literature review

Thymic carcinoma is a rare and highly aggressive mediastinal tumor. Most patients are diagnosed at surgically unresectable stages. Current prospective and retrospective studies have indicated that platinum and anthracycline‐based chemotherapy are the first choice drugs of first‐line therapy for advanced thymic carcinoma. However, there is no optimal treatment after progression for patients who have undergone first‐line and subsequent chemotherapy. Anlotinib, a novel small molecule tyrosine kinase multitarget inhibitor, was approved by the China Food and Drug Administration as a third‐line treatment for advanced non‐small cell lung cancer (NSCLC) in May 2018. Herein we report a case of an advanced thymic squamous cell carcinoma patient harboring EGFR exon 20 insertion who had previously received multiline therapy, including chemotherapy, radiotherapy as well as antiangiogenic therapy. Also as an angiogenesis inhibitor, anotinib had controlled his mediastinal mass after failure of the apatinib treatment. To date, over 23 months of progression‐free survival (PFS) and six years of overall survival (OS) have been achieved. Compared with apatinib, the adverse reactions have been mild and tolerable and the patient's quality of life has improved. To our knowledge, this is the first report where anlotinib has been effective in controlling the progression of thymic carcinoma. In the multiline treatment of advanced thymic carcinoma, anlotinib appears to show great potential when utilized as a salvage treatment.

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.

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.