Advances in traditional Chinese herbal medicine and their pharmacodynamic mechanisms in cancer immunoregulation: a narrative review.

Background and Objective: The cancer-immunity cycle (CIC) is defined as a series of progressive events that cause an anticancer immune response leading to the killing of the cancer cell. The concept of CIC has important guiding significance for the clinical and basic tumor immunotherapy research. As one of the methods of traditional Chinese medicine (TCM), Chinese herbal medicine (CHM) has shown unique advantages in multitarget and multipathway immune regulation. However, the tumor immune circulation targeted by CHM is generally unclear at present. To provide reference for future clinical and basic research, we systematically reviewed the existing literature on CHM (including CHM monomers, CHM compounds, and CHM patent medicines) and the mechanisms related to its efficacy. Methods: We searched the PubMed and China National Knowledge Infrastructure (CNKI) databases for relevant Chinese-language and English-language literature published from January 1988 to October 2022. The literature was screened manually at three levels: title, abstract, and full text, to identify articles related to CHM and their mechanism of regulating tumor immunity. Key Content and Findings: By further classifying the CIC, it was confirmed that CHM can regulate the activation of dendritic cells (DCs) and macrophages and promote the presentation of tumor antigens. Meanwhile, CHM can also reverse tumor-immune escape by enhancing T-cell proliferation and infiltration. In addition, CHM can also enhance the antitumor ability of the body by regulating the killing process of tumor cells. Conclusions: The theory of a CIC is of guiding significance to regulating tumor immunity via CHM.

C-reactive protein and lactate dehydrogenase serum levels potentially predict the response to checkpoint inhibitors in patients with advanced non-small cell lung cancer.

Background: Programmed cell death-ligand 1 (PD-L1) expression and other biomarkers are not completely reliable predictors of the response to checkpoint inhibitors in patients with advanced non-small cell lung cancer (NSCLC). We investigated the value of peripheral serological inflammatory indicators and their combination in predicting the prognosis of patients with advanced NSCLC treated with checkpoint inhibitors. Methods: This study retrospectively analyzed 116 NSCLC patients treated with anti-programmed cell death protein 1 (PD-1)/PD-L1 monoclonal antibodies. Clinical data of the patients were collected before treatment. X-tile plots determined the optimal cut-point for C-reactive protein (CRP) and lactate dehydrogenase (LDH). A survival analysis was performed using the Kaplan-Meier method. Multi-factor Cox regression analysis was used to evaluate the statistically significant factors identified in the univariate analysis. Results: The X-tile plots show the cut-points of CRP and LDH were 8 mg/L and 312 U/L, respectively. Univariate analyses showed high baseline serum LDH and low CRP levels were associated with adverse progression-free survival (PFS). Multivariate analyses indicated that CRP (HR, 0.214, 95% CI: 0.053-0.857, P=0.029) could be a predictive indicator for PFS. In addition, we evaluated the combination of CRP and LDH, and univariate analyses showed that patients with high CRP and low LDH exhibited significantly better PFS than those in the other groups. Conclusions: Baseline levels of serum CRP and LDH have the potential to become a convenient clinical tool to predict response to immunotherapy in advanced non-small cell lung cancer.

Aggressive progression to EGFR tyrosine kinase inhibitors in advanced NSCLC patients: concomitant mutations, prognostic indicator and subsequent management.

BACKGROUND: EGFR tyrosine kinase (TKIs) are recommend as the first-line treatment for non-small cell lung cancer (NSCLC) patients with EGFR mutation. However, some patients experience aggressive progression with a progression-free survival (PFS) less than 6 months on the first-line EGFR TKI therapy. Therefore, our study is to analyze the potential influencing factors including clinical features, biomarkers, concomitant mutations et al. METHODS: A total of 1073 NSCLC patients with EGFR mutation in a multi-center study from January 2019 to December 2021. The datum pathological and molecular characteristics were collected. The area under the receiver operating characteristic (ROC) curve was used to evaluate the predictive effect of Ki-67 on the first-line TKI. The curve of PFS was conducted by Kaplan-Meier method and tested by bilateral log-rank. Cox regression model was used to predict and evaluate PFS of different variables. Chi-square or Fisher analysis was used for correlation between groups. RESULTS: 55 patients who show aggressive progression (PFS ≤ 6 months) on the first-line TKI therapy were analyzed in this study, while 71 with slow progression (PFS > 6 months). Concomitant mutations including AXIN2, P2CG and RAD51C mutations occurred only in the aggressively progressive group (P = 0.029). Correlation between Ki-67 index and the aggressive progression of the first-line TKI therapy was significant statistically different (P < 0.05). In the second-line therapy, the PFS of chemotherapy in combination with other treatments was better than single TKIs in the first ten months. CONCLUSION: NSCLC harbored EGFR and concomitant mutations (such as AXIN2, PLCG2 and RAD51C), and/or Ki-67 high expression may indicate the aggressive progression to the first-line EGFR-TKI.

A multicenter-retrospective cohort study of chromosome instability in lung cancer: clinical characteristics and prognosis of patients harboring chromosomal instability detected by metagenomic next-generation sequencing.

Background: The usefulness of metagenomic next-generation sequencing (mNGS) in identifying the prognosis of lung cancer with chromosomal instability (CIN) remains unclear. We aimed to analyze clinical characteristics and prognosis of patients in patients harboring CIN. Methods: This retrospective cohort study included 668 patients diagnosed with suspected pulmonary infection or lung cancer whose samples underwent mNGS detection from January 2021 to January 2022. Difference between clinical characteristics were calculated by the Student's t-test and the chi-square test. The subjects were followed-up from registered to September 2022. Survival curves were analyzed by the Kaplan-Meier method. Results: Of 619 bronchoalveolar lavage fluid (BALF) samples collected by bronchoscopy, 30 CIN-positive samples were confirmed as malignant on histopathology, with a sensitivity of 61.22%, a specificity of 99.65%, and an 83.17% accuracy [cut-off values were established by the receiver operating characteristic (ROC) area under the curve (AUC) =0.804]. In 42 patients with lung cancer, mNGS detected 24 patients as CIN-positive and 18 as CIN-negative. There were no differences between two groups including ages, pathologic types, stage and metastases. In 25 cases, we detected 523 chromosomal copy number variants (CNVs) with forms including duplication (dup), deletion (del), mosaic (mos), and whole chromosome amplification or loss. A total of 243 duplication variants and 192 deletion variants occurred in all chromosomes. Duplications occurred in most chromosomes except for Chr9 and Chr13, in which CNV tended to delete. The median overall survival (OS) in patients with Chr5p15 duplication was 32.4 months [95% confidence interval (CI), 10.35-54.45 months]. The median OS differed significantly between the 5p15dup+ group and the combined group (32.4 vs. 8.63 months, P=0.049). In 29 patients with unresected lung cancer, the median OS of 18 cases in the CIN-positive group was 32.4 months (95% CI, 14.2-50.6 months) and the median OS of 11 cases in the CIN-negative group was 35.63 months (95% CI, 21.64-49.62 months; Wilcoxon, P=0.227). Conclusions: Various forms of CIN detected by mNGS may predict prognosis of patients with lung cancer differentially. CIN with duplication or deletion deserves further study to guide clinical treatment.

Red light-transmittance bagging promotes carotenoid accumulation of grapefruit during ripening.

Light, a crucial environmental signal, is involved in the regulation of secondary metabolites. To understand the mechanism by which light influences carotenoid metabolism, grapefruits were bagged with four types of light-transmitting bags that altered the transmission of solar light. We show that light-transmitting bagging induced changes in carotenoid metabolism during fruit ripening. Compared with natural light, red light (RL)-transmittance treatment significantly increases the total carotenoid content by 62%. Based on weighted gene co-expression network analysis (WGCNA), 'blue' and 'turquoise' modules are remarkably associated with carotenoid metabolism under different light treatment (p < 0.05). Transcriptome analysis identifies transcription factors (TFs) bHLH128, NAC2-like/21/72, MYB-like, AGL11/AGL61, ERF023/062, WRKY20, SBPlike-7/13 as being involved in the regulation of carotenoid metabolism in response to RL. Under RL treatment, these TFs regulate the accumulation of carotenoids by directly modulating the expression of carotenogenic genes, including GGPPS2, PDS, Z-ISO, ZDS2/7, CRTISO3, CYP97A, CHYB, ZEP2, CCD1-2. Based on these results, a network of the regulation of carotenoid metabolism by light in citrus fruits is preliminarily proposed. These results show that RL treatments have great potential to improve coloration and nutritional quality of citrus fruits.