Tanreqing injection inhibits stemness and enhances sensitivity of non-small cell lung cancer models to gefitinib through ROS/STAT3 signaling pathway.

Resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has emerged as a significant obstacle in managing patients with EGFR-mutant non-small-cell lung cancer (NSCLC), necessitating the exploration of novel therapeutic approaches. Tanreqing injection (TRQ) is a kind of Chinese patent medicine known for its heat-clearing and detoxifying properties. Studies have shown a correlation between tumor drug resistance and enrichment of cancer stem cells (CSCs). We aim to investigate the feasibility of TRQ enhancing sensitivity to gefitinib by targeting CSCs and reactive oxygen species (ROS). In our study, TRQ significantly inhibited cell proliferation in gefitinib-resistant non-small-cell lung cancer (NSCLC) models including 2D cell lines, 3D cell spheres, tumor-bearing animal and organoids. Compared with the gefitinib group alone, addition of TRQ elevated ROS levels, attenuated upregulation of the protein levels of sex-determining region Y-box 2 (SOX2) and aldehyde dehydrogenase 1 family member A1 (ALDH1A1) induced by gefitinib treatment, and inhibited the phosphorylation of signal transducer and activator of transcription 3 (STAT3). Scavenging ROS could restore tumor stemness, attenuate the inhibitory effect on the phosphorylation of STAT3, and promote cell proliferation. These results suggested that TRQ could enhance sensitivity of NSCLC models to gefitinib, providing a new combined treatment strategy.

The most recent progress of baicalein in its anti-neoplastic effects and mechanisms.

Problems, such as toxic side effects and drug resistance of chemoradiotherapy, target therapy and immunotherapy accompanying the current anti-cancer treatments, have become bottlenecks limiting the clinical benefit for patients. Therefore, it is urgent to find promising anti-cancer strategies with higher efficacy and lesser side effects. Baicalein, a flavonoid component derived from the Chinese medicine scutellaria baicalensis, has been widely studied for its remarkable anti-cancer activity in multiple types of malignancies both at the molecular and cellular levels. Baicalein exerts its anti-tumor effects by inhibiting angiogenesis, invasion and migration, inducing cell apoptosis and cell cycle arrest, as well as regulating cell autophagy, metabolism, the tumor microenvironment and cancer stem cells with no obvious toxic side effects. The role of classic signaling pathways, such as PI3K/AKT/mTOR, MAPK, AMPK, Wnt/ß-catenin, JAK/STAT3, MMP-2/-9, have been highlighted as the major targets for baicalein exerting its anti-malignant potential. Besides, baicalein can regulate the relevant non-coding RNAs, such as lncRNAs, miRNAs and circ-RNAs, to inhibit tumorigenesis and progression. In addition to the mentioned commonalities, baicalein shows some specific anti-tumor characteristics in some specific cancer types. Moreover, the preclinical studies of the combination of baicalein and chemoradiotherapy pave the way ahead for developing baicalein as an adjunct treatment with chemoradiotherapy. Our aim is to summary the role of baicalein in different types of cancer with its mechanisms based on in vitro and in vivo experiments, hoping providing proof for baicalein serving as an effective and safe compound for cancer treatment in clinic in the future.

Nomogram-based prognostic tool for stage IIIB/IV non-small cell lung cancer patients undergoing traditional Chinese medicine treatment.

Objective: Given the significant impact of long-term traditional Chinese medicine (TCM) treatment on the prognosis of patients with non-small cell lung cancer (NSCLC), we aimed to develop nomograms, with or without consideration of TCM treatment duration, to accurately predict the overall survival (OS) of patients with stage IIIB/IV NSCLC treated with TCM. Methods: Nomograms were developed from a training cohort comprised of 292 patients diagnosed with NSCLC, using univariate and multivariate Cox regression analyses to screen for various prognostic factors with and without TCM treatment. The nomograms were evaluated using the concordance index (C-index), calibration curve, and decision curve analysis (DCA), after which they were validated, using the bootstrap self-sampling method for internal validation, and a validation cohort comprised of 175 patients for external validation. Bootstrap validation is a resampling technique that involves randomly selecting and replacing data from the original dataset to make statistical inferences, thereby circumventing the issue of sample reduction that can arise from cross-validation. Results: We identified seven significant prognostic factors for OS. For nomogram A (excluding TCM treatment time), the C-indexes (95 % confidence interval [CI]) were 0.674 (0.635-0.712) and 0.660 (0.596-0.724) for the training and validation cohorts, respectively. For nomogram B (including TCM treatment time), the C-indices (95 % CI) were 0.846 (0.822-0.870) and 0.783 (0.730-0.894), for the training and validation cohorts, respectively, indicating that nomogram B was superior to nomogram A. Both the calibration curves and DCA results exhibited favorable clinical concordance and usefulness. Conclusion: The nomogram B yielded precise prognostic predictions for patients with advanced NSCLC treated with TCM.

Prognostic and metabolic characteristics of a novel cuproptosis-related signature in patients with hepatocellular carcinoma.

Cuproptosis is a novel discovered mode of programmed cell death. To identify the molecular regulatory patterns related to cuproptosis, this study was designed for exploring the correlation between cuproptosis-related genes (CRGs) and the prognosis, metabolism, and treatment of hepatocellular carcinoma (HCC). Cancer Genome Atlas (TCGA) database was used to screen 363 HCC samples, which were categorized into 2 clusters based on the expression of CRGs. Survival analysis demonstrated that overall survival (OS) was better in Cluster 1 than Cluster 2 which might to be relevant to differences in metabolic based on functional analysis. With LASSO regression analysis and univariate COX regression, 8 prognosis-related genes were screened, a differently expressed genes (DEGs) were then constructed (HCC patients' DEGs)-based signature. The signature's stability was also validated in the 2 independent cohorts and test cohorts (GSE14520, HCC dataset in PCAWG). The 1-year, 3-year, and 5-year area under the curve (AUC) were 0.756, 0.706, and 0.722, respectively. The signature could also well predict the response to chemotherapy, targeted and transcatheter arterial chemoembolization (TACE) by providing a risk score. Moreover, the correlation was uncovered by the research between the metabolism and risk score. In conclusion, a unique cuproptosis-related signature that be capable of predicting patients' prognosis with HCC, and offered valuable insights into chemotherapy, TACE and targeted therapies for these patients has been developed.

Xie-Bai-San increases NSCLC cells sensitivity to gefitinib by inhibiting Beclin-1 mediated autophagosome formation.

BACKGROUND: Autophagy, a cellular process involving lysosomal self-digestion, plays a crucial role in recycling biomolecules and degrading dysfunctional proteins and damaged organelles. However, in non-small cell lung cancer (NSCLC), cancer cells can exploit autophagy to survive metabolic stress and develop resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), which reduce treatment efficacies. Currently, most studies have found that late-stage autophagy inhibitors can hinder EGFR-TKIs resistance, while research on early-stage autophagy inhibitors is still limited. PURPOSE: This study investigates the mechanism via which the Xie-Bai-San (XBS) formula enhances NSCLC cell sensitivity to gefitinib, revealing the relationship between XBS-induced cell death and the inhibition of autophagosome formation. METHODS: Cell viability was assessed using CCK-8 and EdU assays, lentivirus transfection was utilized to generate PC9 cells harboring the PIK3CA E545K mutation (referred to as PC9-M), autophagic flux was monitored using mCherry-GFP-LC3 adenovirus. Protein expression and colocalization were observed through immunofluorescence staining. The interaction between Bcl-2 and Beclin-1 in PC9-GR and PC9-M cells was determined via co-immunoprecipitation (Co-IP) assay, cell apoptosis was assessed by flow cytometry and PI staining, and overall survival analysis of lung adenocarcinoma patients was conducted using the TCGA database. In vivo experiments included a patient-derived xenograft (PDX) model with EGFR and PIK3CA mutations and subcutaneous mice xenografts of NSCLC cell lines (PC9 and PC9-GR). In addition, autophagic vesicles in mouse tumor tissues were observed via transmission electron microscopy analysis. RESULTS: XBS effectively inhibits the proliferation of gefitinib-resistant NSCLC cells and induces apoptosis both in vitro and in vivo. Mechanistically, XBS suppresses gefitinib-induced autophagic flux by inhibiting autophagy through the upregulation of p-mTOR and Bcl-2 and downregulation of Beclin-1. Additionally, XBS enhances the interaction between Bcl-2 and Beclin-1, and the overexpression of Beclin-1 promotes NSCLC cell proliferation and counteracts XBS-induced cell death, while XBS demonstrates minimal impact on autophagosome-lysosome fusion or lysosome function. CONCLUSION: This study reveals a novel role for the XBS formula in impeding autophagy initiation and demonstrates its potential as a candidate drug to counteract autophagy-induced treatment resistance in NSCLC.

BYL719 reverses gefitinib-resistance induced by PI3K/AKT activation in non-small cell lung cancer cells.

Non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutation often obtain de novo resistance or develop secondary resistance to EGFR tyrosine kinase inhibitors (EGFR-TKIs), which restricts the clinical benefit for the patients. The activation of phosphatidylinositol 3-kinase (PI3K)/AKT signal pathway is one of the most important mechanisms for the EGFR-TKIs resistance beyond T790M mutation. There are currently no drugs simultaneously targeting EGFR and PI3K signal pathways, and combination of these two pathway inhibitors may be a possible strategy to reverse theses resistances. To test whether this combinational strategy works, we investigated the therapeutic effects and mechanisms of combining BYL719, a PI3Kα inhibitor, with gefitinib, an EGFR-TKI inhibitor in EGFR-TKIs resistance NSCLC models induced by PI3K/AKT activation. Our results demonstrated that PIK3CA mutated cells showed increased growth rate and less sensitive or even resistant to gefitinib, associated with increased PI3K/AKT expression. The combination of BYL719 and gefitinib resulted in synergistic effect compared with the single agents alone in EGFR-mutated NSCLC cells with PI3K/AKT activation. The inhibition of AKT phosphorylation by BYL719 increased the antitumor efficacy of gefitinib in these cell lines. Moreover, the combined effect and mechanism of gefitinib and BYL719 were also confirmed in the NSCLC cells and patient-derived organoids under 3D culture condition, as well as in vivo. Taken together, the data indicate that PIK3CA mutation induces more aggressive growth and gefitinib resistance in NSCLC cells, and the combination treatment with gefitinib and BYL719 is a promising therapeutic approach to overcoming EGFR-TKIs resistance induced by PI3K/AKT activation.

Electro-acupuncture for health-related quality of life and symptoms in patients with gastric cancer undergoing adjuvant chemotherapy (EAGER): a protocol for a multicenter randomized controlled trial.

BACKGROUND: Patients with local gastric cancer experience a decline of Health-related quality of life (HRQOL) during adjuvant chemotherapy following gastrectomy. Our previous pilot study has indicated the potential of acupuncture to improve HRQOL and control cancer-related symptoms burden. This full-scale trial will focus on confirming the effect of acupuncture for patients with gastric cancer. METHODS: A multicenter, open-label, three-arm randomized controlled trial with 249 patients will be conducted in China. Patients will be randomly assigned, in a ratio of 1:1:1, to receive high-dose acupuncture (HA, 7 times each chemo-cycle for 3 cycles), low-dose acupuncture (LA, 3 times each chemo-cycle for 3 cycles), or no acupuncture. The acupoints prescription consisted of bilateral ST36, PC6, SP4, DU20, EX-HN3, and selected Back-shu points. Patients-reported Functional Assessment of Cancer Therapy-Gastric (FACT-Ga) and modified Edmonton Symptom Assessment Scale (mESAS) during the therapy will be recorded. Area under curve (AUC, 21 days/cycle × 3 cycles) and average trajectory of FACT-Ga and mESAS will be calculated. The primary outcome will be the differences in AUC of the FACT-Ga Trial Outcome Index (TOI) between HA and LA versus control groups. Secondary outcomes include AUCs and average trajectory of other FACT-Ga subscales and mESAS scores. DISCUSSION: This study aims to assess the effect of acupuncture and to compare the difference between LA and HA groups on HRQOL and symptom burden controlling in gastric cancer patients by an adequately powered trial. TRIAL REGISTRATION: This study was approved by the Ethics Committee of the Guangdong Provincial Hospital of Traditional Chinese Medicine (approval number: BF2018-118) with registration at ClinicalTrials.gov (identifier: NCT04360577).

Using DNA metabarcoding to assess insect diversity in citrus orchards.

Background: DNA metabarcoding is rapidly emerging as a cost-effective approach for large-scale biodiversity assessment and pest monitoring. The current study employed metabarcoding to assess insect diversity in citrus orchards in Ganzhou City, Jiangxi, China in both 2018 and 2019. Insects were sampled using Malaise traps deployed in three citrus orchards producing a total of 43 pooled monthly samples. Methods: The Malaise trap samples were sequenced following DNA metabarcoding workflow. Generated sequences were curated and analyzed using two cloud databases and analytical platforms, the barcode of life data system (BOLD) and multiplex barcode research and visualization environment (mBRAVE). Results: These platforms assigned the sequences to 2,141 barcode index numbers (BINs), a species proxy. Most (63%) of the BINs were shared among the three sampling sites while BIN sharing between any two sites did not exceed 71%. Shannon diversity index (H') showed a similar pattern of BIN assortment at the three sampling sites. Beta diversity analysis by Jaccard similarity coefficient (J) and Bray-Curtis distance matrix (BC) revealed a high level of BIN similarity among the three sites (J = 0.67-0.68; BC = 0.19-0.20). Comparison of BIN records against all those on BOLD made it possible to identify 40% of the BINs to a species, 57% to a genus, 97% to a family and 99% to an order. BINs which received a species match on BOLD were placed in one of four categories based on this assignment: pest, parasitoid, predator, or pollinator. As this study provides the first baseline data on insect biodiversity in Chinese citrus plantations, it is a valuable resource for research in a broad range of areas such as pest management and monitoring beneficial insects in citrus gardens.

Reactive oxygen species-responsive mitochondria-targeted liposomal quercetin attenuates retinal ischemia-reperfusion injury via regulating SIRT1/FOXO3A and p38 MAPK signaling pathways.

Retinal ischemia-reperfusion (RIR) injury is involved in the pathogenesis of various vision-threatening diseases. The overproduction of reactive oxygen species (ROS) is thought to be the main cause of RIR injury. A variety of natural products, including quercetin (Que), exhibit potent antioxidant activity. However, the lack of an efficient delivery system for hydrophobic Que and the presence of various intraocular barriers limit the effective retinal delivery of Que in clinical settings. In this study, we encapsulated Que into ROS-responsive mitochondria-targeted liposomes (abbreviated to Que@TPP-ROS-Lips) to achieve the sustained delivery of Que to the retina. The intracellular uptake, lysosome escape ability, and mitochondria targeting ability of Que@TPP-ROS-Lips were evaluated in R28 retinal cells. Treating R28 cells with Que@TPP-ROS-Lips significantly ameliorated the decrease in ATP content, ROS generation, and increase in the release of lactate dehydrogenase in an in vitro oxygen-glucose deprivation (OGD) model of retinal ischemia. In a rat model, the intravitreal injection of Que@TPP-ROS-Lips 24 h after inducing retinal ischemia significantly enhanced retinal electrophysiological recovery and reduced neuroinflammation, oxidative stress, and apoptosis. Que@TPP-ROS-Lips were taken up by retina for at least 14 days after intravitreal administration. Molecular docking and functional biological experiments revealed that Que targets FOXO3A to inhibit oxidative stress and inflammation. Que@TPP-ROS-Lips also partially inhibited the p38 MAPK signaling pathway, which contributes to oxidative stress and inflammation. In conclusion, our new platform for ROS-responsive and mitochondria-targeted drug release shows promise for the treatment of RIR injury and promotes the clinical application of hydrophobic natural products.

Retracted: Effect of Sham Acupuncture on Chronic Pain: A Bayesian Network Meta-Analysis.

BACKGROUND: Along with increasing research on acupuncture for chronic pain, the validity of sham acupuncture (SA) has also been argued. METHODS: Nine databases were searched for randomized controlled trials (RCTs) from the inception dates of the databases to July 5, 2022. With Markov Chain Monte Carlo methods, a Bayesian multiple-treatment network meta-analysis (NMA) with random-effects model was conducted. RESULTS: A total of 62 RCTs with 6,806 patients and four kinds of treatments (real acupuncture [RA], non-acupuncture [NA], penetrative SA [PSA], and non-penetrative SA [NPSA]) were included. The results indicated that both NPSA and PSA were not superior to NA in improving chronic pain (NPSA: mean difference [MD]= -4.77, 95% confidence interval [CI] -11.09 to 1.52; PSA: MD= -4.96, 95% CI -10.38 to 0.48). After NPSA and PSA were combined into the SA group, the weak trend of pain relief from SA was still not statistically significant (MD= -4.91, 95% CI -9.93 to 0.05). NPSA and PSA had similar effects (MD= 0.18, 95% CI -5.45 to 5.81). RA was significantly associated with pain relief, compared with NPSA and PSA (NPSA: MD= -12.03, 95% CI -16.62 to -7.41; PSA: MD= -11.85, 95% CI -15.48 to -8.23). The results were generally consistent regardless of pain phenotype, frequency, duration, acupuncture methods, analgesic intake, or detection bias. CONCLUSION: These results suggested that acupuncture was significantly associated with reduced chronic pain. The two kinds of placebo acupuncture, NPSA and PSA, have similar effects. Both NPSA and PSA, with a weak but not significant effect, are appropriate to be inert placebo controls in RCTs for chronic pain.

Case report: A case of duodenal adenocarcinoma achieving significantly long survival treating with immune checkpoint inhibitors and chemotherapy without positive biomarkers.

Small bowel adenocarcinoma (SBA), particularly duodenal adenocarcinoma (DA), is a rare gastrointestinal cancer with a dismal prognosis. Data on SBA treatments are limited, and the therapeutic strategy remains uncertain. Currently, chemotherapy is the most used treatment; however, it has a poor median progression-free survival (mPFS) of no more than five months in the second-line setting. We report a case with DA that responded well to the immune checkpoint inhibitor (ICI) tislelizumab plus irinotecan in the second-line treatment. To our knowledge, this is the first report of administering ICIs plus chemotherapy to SBA. Despite the absence of microsatellite instability-high (MSI-H) and high tumor mutational burden (TMB), the patient with TP53/KRAS mutation achieved a significantly long PFS of 17 months, and the benefit is still ongoing. The mechanism of this remarkable efficacy might be associated with an increase in tumor immunogenicity after chemotherapy. The current study presents a promising effect of ICIs plus chemotherapy on SBA, affirming the need to investigate the clinical value of this combination in SBA and the underlying mechanism behind it.

Establishment and validation of the cut-off values of estimated glomerular filtration rate and urinary albumin-to-creatinine ratio for diabetic kidney disease: A multi-center, prospective cohort study.

Objective: We aimed to study the cut-off values of estimated glomerular filtration rate (eGFR) and the urinary albumin creatinine ratio (UACR) in the normal range for diabetic kidney disease (DKD). Methods: In this study, we conducted a retrospective, observational cohort study included 374 type 2 diabetic patients who had baseline eGFR ≥60 mL/min/1.73 m2 and UACR <30 mg/g with up to 6 years of follow-up. The results were further validated in a multi-center, prospective cohort study. Results: In the development cohort, baseline eGFR (AUC: 0.90, cut-off value: 84.8 mL/min/1.73 m2, sensitivity: 0.80, specificity: 0.85) or UACR (AUC: 0.74, cut-off value: 15.5mg/g, sensitivity: 0.69, specificity: 0.63) was the most effective single predictor for DKD. Moreover, compared with eGFR or UACR alone, the prediction model consisted of all of the independent risk factors did not improve the predictive performance (P >0.05). The discrimination of eGFR at the cut-off value of 84.80 mL/min/1.73 m2 or UACR at 15.5mg/g with the largest Youden's index was further confirmed in the validation cohort. The decrease rate of eGFR was faster in patients with UACR ≥15.5mg/g (P <0.05). Furthermore, the decrease rate of eGFR or increase rate of UACR and the incidence and severity of cardiovascular disease (CVD) were higher in patients with eGFR ≤84.8 mL/min/1.73 m2 or UACR ≥15.5mg/g (P <0.05). Conclusions: In conclusion, eGFR ≤84.8mL/min/1.73 m2 or UACR ≥15.5mg/g in the normal range may be an effective cut-off value for DKD and may increase the incidence and severity for CVD in type 2 diabetic patients.

[Clinical observation on acupuncture for symptom burden in gastric cancer patients undergoing adjuvant chemotherapy after gastrectomy].

OBJECTIVE: To observe the efficacy of acupuncture on symptom burden in patients with gastric cancer during adjuvant chemotherapy after gastrectomy. METHODS: A total of 58 patients were randomized into a high-dose acupuncture group (19 cases, 5 cases dropped off), a low-dose acupuncture group (20 cases, 6 cases dropped off) and a control group (19 cases, 2 cases dropped off). Conventional chemotherapy and antiemetic treatment were adopted in the control group. On the basis of the treatment in the control group, acupuncture was applied 7 times each chemotherapy cycle for totally 21 times in the high-dose acupuncture group, and 3 times each chemotherapy cycle for totally 9 times in the low-dose acupuncture group. Baihui (GV 20), Zusanli (ST 36), Neiguan (PC 6), etc. were selected in the two acupuncture groups, as well as back-shu points selected by the meridian heat sensing technique. Electroacupuncture was connected to ipsilateral Zusanli (ST 36) and Neiguan (PC 6), with continuous wave, 2 Hz in frequency for 20 min. The Edmonton symptom assessment system (ESAS) score was observed on day 1-7, 14, and 21 of each cycle of chemotherapy respectively in the 3 groups. RESULTS: The symptom burden was worst within 7 days of each cycle of chemotherapy in the 3 groups. After the 3rd chemotherapy cycle, the total score of ESAS in the low-dose acupuncture group was lower than the control group (P<0.05), the total score and the scores of feeling of non-well being, pain and shortness of breath of ESAS in the acupuncture group (the high-dose acupuncture group combined with the low-dose acupuncture group) were lower than the control group (P<0.05). CONCLUSION: Acupuncture shows promising effect in controlling symptom burden during adjuvant chemotherapy in gastric cancer patients after gastrectomy.

The pivotal application of patient-derived organoid biobanks for personalized treatment of gastrointestinal cancers.

Gastrointestinal cancers (GICs) occupy more than 30% of the cancer-related incidence and mortality around the world. Despite advances in the treatment strategies, the long-term overall survival has not been improved for patients with GICs. Recently, the novel patient-derived organoid (PDO) culture technology has become a powerful tool for GICs in a manner that recapitulates the morphology, pathology, genetic, phenotypic, and behavior traits of the original tumors. Excitingly, a number of evidences suggest that the versatile technology has great potential for personalized treatment, suppling the clinical application of molecularly guided personalized treatment. In the paper, we summarize the literature on the topics of establishing organoid biobanks of PDOs, and their application in the personalized treatment allowing for radiotherapy, chemotherapy, targeted therapy, and immunotherapy selection for GICs. Despite the limitations of current organoid models, high-throughput drug screening of GIC PDO combined with next-generation sequencing technology represents a novel and pivotal preclinical model for precision medicine of tumors and has a great value in promoting the transformation from basic cancer research to clinical application.

A Scaffold-based Deep Generative Model Considering Molecular Stereochemical Information.

Designing molecules with specific scaffolds can facilitate the discovery and optimization of lead compounds. Some scaffold-based molecular generation models have been developed using deep-learning methods based on specific scaffolds, although incorporating scaffold generalization is expected to achieve scaffold hopping. Moreover, most of the existing models focus on the 2D shape of the scaffold and overlook the stereochemical properties of the compound, especially for natural products. In this study, we optimized the scaffold-based molecular generation model designed by Lim et al. (Chemical Science 2020, 11, 1153-1164). Real-time ultrafast shape recognition with pharmacophore constraints (USRCAT) was introduced into the model to search for molecules similar to the 3D conformation and pharmacophore of the input scaffold sourced from the training set; the searched molecules were then used as new scaffolds to execute scaffold hopping. The optimized model could generate new molecules with the same chirality as the input scaffold. Furthermore, the probability distribution of the molecular structure and various physicochemical properties were analyzed to evaluate the model's generation capability. We thus believe that the optimized model can provide a basis for medicinal chemists to explore a wider chemical space toward optimization of the lead compounds and to screen the virtual compound library.

Dissecting the ferroptosis-related prognostic biomarker and immune microenvironment of driver gene-negative lung cancer.

Despite significant advances in targeted and immune therapy for non-small cell lung cancer (NSCLC), effective therapies for wild-type epidermal growth factor receptor/anaplastic lymphoma kinase (EGFR/ALKWT) with low expression of programmed death ligand-1 (PD-L1) NSCLC remain elusive. Numerous studies have shown that ferroptosis plays an essential role in antitumor activity. To identify the molecular regulation patterns associated with ferroptosis, 351 EGFR/ALKWT NSCLC samples with low-level PD-L1 were extracted from The Cancer Genome Atlas (TCGA) and clustered using the k-means clustering technique. The two clusters associated with ferroptosis showed significantly different prognoses. In total, 169 differential expression genes (DEGs) were identified. Cluster differential analysis revealed that Cluster 1 had a significantly poorer overall survival (OS) and was associated with more negative immune regulation. In addition, TCGA samples were randomly assigned in a 7:3 ratio to a training group or testing group. A signature of eight genes associated with ferroptosis was established in the training cohort using DEGs and validated in the test cohort and three independent cohorts (GSE72049, GSE41271, and GSE50081). The 5-year area under the curve (AUC) was 0.713, which was significantly higher than that of other predictors, including TNM stage and age. Furthermore, the risk score was associated with immune function, immune infiltration, and immunotherapy response, with high-risk patients having a worse prognosis, an immune-suppressing phenotype, and a poor response to immune checkpoint inhibitors. This study aims to contribute to our understanding of the biological role of ferroptosis in EGFR/ALKWT NSCLC with low-level PD-L1, laying the groundwork for the development of novel therapeutic strategies.

Bone metastasis attenuates efficacy of immune checkpoint inhibitors and displays "cold" immune characteristics in Non-small cell lung cancer.

OBJECTIVES: This study aimed to assess the clinical characteristics affecting outcomes after immune checkpoint inhibitors (ICI) therapies in non-small cell lung cancer (NSCLC) patients, and the underlying mechanism in tumor immune micro-environment (TIME). MATERIALS AND METHODS: A total of 144 patients treated with ICI-based strategies were retrospectively analyzed. Expression of 10 immune antibodies in tumor tissues from other 60 untreated NSCLC patients were sequentially tested using multiplexed immunofluorescence (mIF) staining method. Correlation of clinical characteristics with ICI treatment outcomes and TIME characteristics were analyzed. RESULTS: Multivariate logistic and cox regression indicated that BoM negatively affected disease control rate (OR = 0.32, 95%CI: 0.13-0.82, P = 0.018), progression free survival (HR = 3.44, 95% CI:1.97-6.00, P < 0.001) and overall survival (HR = 3.24, 95% CI:1.62-6.50, P = 0.001), irrespective of programmed death-ligand 1 (PD-L1) expression. BoM patients were with significantly lower PD-L1, and this heterogeneity of TIME was then confirmed in the mIF staining, where 36 (61.0%) patients were clustered into immune-subtype A, with low expression of all the detected immune markers, similar to "cold" tumors, and 23 (39.0%) in cluster B with likely "hot" tumors. More patients in immune-subtype A were non-smokers (63.9% vs. 39.1% P = 0.063), with BoM (66.7% vs. 21.7%, P = 0.001), in stage IV(88.9% vs. 65.2%, P = 0.045), and with adenocarcinoma (91.7% vs. 69.6%, P = 0.037). Multivariate logistic regression indicated that BoM was independently associated with the "cold" immune characteristics (OR = 0.19, 95% CI:0.04-0.84, P = 0.028). Combination therapy with chemotherapy /antiangiogenesis or use of bisphosphonate during ICI treatment significantly improved clinical outcomes in BoM patients. CONCLUSIONS: BoM displays adverse impact on clinical outcomes after ICI treatments in NSCLC patients. The "cold" characteristics of TIME may be the underlying mechanism for the attenuated efficacy of ICIs in bone metastatic NSCLC patients.

Erratum to "Qing-Kai-Ling Injection Acts Better Than Shen-Fu Injection in Enhancing the Antitumor Effect of Gefitinib in Resistant Non-Small Cell Lung Cancer Models".

[This corrects the article DOI: 10.1155/2021/9911935.].

Lung cancer organoids, a promising model still with long way to go.

Lung cancer organoids (LCOs) have sprung up in more and more researching fields, because of their ability to recapitulate the three-dimensional structure and functions of the in vivo counterpart organs. However, the culture system for LCOs is still immature, resulting in limited success rate and low tumor purity when culturing LCOs. This is mainly due to the deficiency of an optimal formula of culture medium specially for LCOs. Various cytokines and small molecules have been added in the LCOs culturing system. Compound screening, considering both the mechanism of these molecules and the complexity of lung cancer types is warranted to optimize LCOs culture medium. As methods to culture LCOs increase in sophistication, this model will undoubtedly stand its ground in the coming years in every aspect of cancer researches, especially with major advantages in the field of personalized medicine and tumor microenvironment researches.