Polymorphisms of NF-κB pathway genes influence adverse drug reactions of gefitinib in NSCLC patients

Tilianin enhances the antitumor effect of sufentanil on non-small cell lung cancer

Non-small cell cancer (NSCLC) is the most common cancer in the world, but its effective therapeutic methods are limited. Tilianin and sufentanil alleviate various human tumors. This research aimed to clarify the functions and mechanisms of Tilianin and sufentanil in NSCLC. The functions of Tilianin and sufentanil on NSCLC cell viability, apoptosis, mitochondrial dysfunction, and immunity in vitro were examined using Cell Counting Kit-8 assay, flow cytometry, reactive oxygen species level analysis, CD8+ T cell percentage analysis, Western blot, and enzyme-linked immunosorbent assay, respectively. The molecular mechanism regulated by Tilianin and sufentanil in NSCLC was assessed using Western blot, and immunofluorescence assays. Meanwhile, the roles of Tilianin and sufentanil in NSCLC tumor growth, apoptosis, and immunity in vivo were determined by establishing a tumor xenograft mouse model, immunohistochemistry, and Western blot assays. When sufentanil concentration was proximity 2 nM, the inhibition rate of NSCLC cell viability was 50%. The IC50 for A549 cells was 2.36 nM, and the IC50 for H1299 cells was 2.18 nM. The IC50 of Tilianin for A549 cells was 38.7 μM, and the IC50 of Tilianin for H1299 cells was 44.6 μM. Functionally, 0.5 nM sufentanil and 10 μM Tilianin reduced NSCLC cell (A549 and H1299) viability in a dose-dependent manner. Also, 0.5 nM sufentanil and 10 μM Tilianin enhanced NSCLC cell apoptosis, yet this impact was strengthened after a combination of Tilianin and Sufentanil. Furthermore, 0.5 nM sufentanil and 10 μM Tilianin repressed NSCLC cell mitochondrial dysfunction and immunity, and these impacts were enhanced after a combination of Tilianin and Sufentanil. Mechanistically, 0.5 nM sufentanil and 10 μM Tilianin repressed the NF-κB pathway in NSCLC cells, while this repression was strengthened after a combination of Tilianin and Sufentanil. In vivo experimental data further clarified that 1 µg/kg sufentanil and 10 mg/kg Tilianin reduced NSCLC growth, immunity, and NF-κB pathway-related protein levels, yet these trends were enhanced after a combination of Tilianin and Sufentanil. Tilianin strengthened the antitumor effect of sufentanil in NSCLC.

Genetic Variants in the ABCB1 and ABCG2 Gene Drug Transporters Involved in Gefitinib-Associated Adverse Reaction: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis aimed to verify the association between the genetic variants of adenosine triphosphate (ATP)-binding cassette subfamily B member 1 (ABCB1) and ATP-binding cassette subfamily G member 2 (ABCG2) genes and the presence and severity of gefitinib-associated adverse reactions. We systematically searched PubMed, Virtual Health Library/Bireme, Scopus, Embase, and Web of Science databases for relevant studies published up to February 2024. In total, five studies were included in the review. Additionally, eight genetic variants related to ABCB1 (rs1045642, rs1128503, rs2032582, and rs1025836) and ABCG2 (rs2231142, rs2231137, rs2622604, and 15622C>T) genes were analyzed. Meta-analysis showed a significant association between the ABCB1 gene rs1045642 TT genotype and presence of diarrhea (OR = 5.41, 95% CI: 1.38-21.14, I2 = 0%), the ABCB1 gene rs1128503 TT genotype and CT + TT group and the presence of skin rash (OR = 4.37, 95% CI: 1.51-12.61, I2 = 0% and OR = 6.99, 95%CI: 1.61-30.30, I2= 0%, respectively), and the ABCG2 gene rs2231142 CC genotype and presence of diarrhea (OR = 3.87, 95% CI: 1.53-9.84, I2 = 39%). No ABCB1 or ABCG2 genes were positively associated with the severity of adverse reactions associated with gefitinib. In conclusion, this study showed that ABCB1 and ABCG2 variants are likely to exhibit clinical implications in predicting the presence of adverse reactions to gefitinib.

The Effects of Drug Exposure and Single Nucleotide Polymorphisms on Aaptinib-Induced Severe Toxicities in Solid Tumors

To investigate the value of drug exposure and host germline genetic factors in predicting apatinib (APA)-related toxicities.

METHOD

In this prospective study, plasma APA concentrations were quantified using liquid chromatography with tandem mass spectrometry, and 57 germline mutations were genotyped in 126 advanced solid tumor patients receiving 250 mg daily APA, a vascular endothelial growth factor receptor II inhibitor. The correlation between drug exposure, genetic factors, and the toxicity profile was analyzed.

RESULTS

Non-small cell lung cancer (NSCLC) was more prone to APA-related toxicities and plasma concentrations of APA, and its main metabolite M1-1 could be associated with high-grade adverse events (AEs) (P < 0.01; M1-1, P < 0.01) and high-grade antiangiogenetic toxicities (APA, P = 0.034; P < 0.05), including hypertension, proteinuria, and hand-foot syndrome, in the subgroup of NSCLC. Besides, CYP2C9 rs34532201 TT carriers tended to have higher levels of APA (P < 0.001) and M1-1 (P < 0.01), whereas CYP2C9 rs1936968 GG carriers were predisposed to higher levels of M1-1 (P < 0.01).

CONCLUSION

Plasma APA and M1-1 exposures were able to predict severe AEs in NSCLC patients. Dose optimization and drug exposure monitoring might need consideration in NSCLC patients with CYP2C9 rs34532201 TT and rs1936968 GG.

SIGNIFICANCE STATEMENT

Apatinib is an anti-VEGFR2 inhibitor for the treatment of multiple cancers. Though substantial in response, apatinib-induced toxicity has been a critical issue that is worth clinical surveillance. Few data on the role of drug exposure and genetic factors in apatinib-induced toxicity are available. Our study demonstrated a distinct drug-exposure relationship in NSCLC but not other tumors and provided invaluable evidence of drug exposure levels and single nucleotide polymorphisms as predictive biomarkers in apatinib-induced severe toxicities.

Race, Ethnicity, and Pharmacogenomic Variation in the United States and the United Kingdom

The relevance of race and ethnicity to genetics and medicine has long been a matter of debate. An emerging consensus holds that race and ethnicity are social constructs and thus poor proxies for genetic diversity. The goal of this study was to evaluate the relationship between race, ethnicity, and clinically relevant pharmacogenomic variation in cosmopolitan populations. We studied racially and ethnically diverse cohorts of 65,120 participants from the United States All of Us Research Program (All of Us) and 31,396 participants from the United Kingdom Biobank (UKB). Genome-wide patterns of pharmacogenomic variation-6311 drug response-associated variants for All of Us and 5966 variants for UKB-were analyzed with machine learning classifiers to predict participants' self-identified race and ethnicity. Pharmacogenomic variation predicts race/ethnicity with averages of 92.1% accuracy for All of Us and 94.3% accuracy for UKB. Group-specific prediction accuracies range from 99.0% for the White group in UKB to 92.9% for the Hispanic group in All of Us. Prediction accuracies are substantially lower for individuals who identified with more than one group in All of Us (16.7%) or as Mixed in UKB (70.7%). There are numerous individual pharmacogenomic variants with large allele frequency differences between race/ethnicity groups in both cohorts. Frequency differences for toxicity-associated variants predict hundreds of adverse drug reactions per 1000 treated participants for minority groups in All of Us. Our results indicate that race and ethnicity can be used to stratify pharmacogenomic risk in the US and UK populations and should not be discounted when making treatment decisions. We resolve the contradiction between the results reported here and the orthodoxy of race and ethnicity as non-genetic, social constructs by emphasizing the distinction between global and local patterns of human genetic diversity, and we stress the current and future limitations of race and ethnicity as proxies for pharmacogenomic variation.

FOXO3 mutation predicting gefitinib-induced hepatotoxicity in NSCLC patients through regulation of autophagy

Hepatotoxicity is a common side effect for patients treated with gefitinib, but the related pathogenesis is unclear and lacks effective predictor and management strategies. A multi-omics approach integrating pharmacometabolomics, pharmacokinetics and pharmacogenomics was employed in non-small cell lung cancer patients to identify the effective predictor for gefitinib-induced hepatotoxicity and explore optional therapy substitution. Here, we found that patients with rs4946935 AA, located in Forkhead Box O3 (FOXO3) which is a well-known autophagic regulator, had a higher risk of hepatotoxicity than those with the GA or GG variant (OR = 18.020, 95%CI = 2.473 to 459.1784, P = 0.018) in a gefitinib-concentration dependent pattern. Furthermore, functional experiments identified that rs4946935_A impaired the expression of FOXO3 by inhibiting the promotor activity, increasing the threshold of autophagy initiation and inhibiting the autophagic activity which contributed to gefitinib-induced liver injury. In contrast, erlotinib-induced liver injury was independent on the variant and expression levels of FOXO3. This study reveals that FOXO3 mutation, leading to autophagic imbalance, plays important role in gefitinib-induced hepatotoxicity, especially for patients with high concentration of gefitinib. In conclusion, FOXO3 mutation is an effective predictor and erlotinib might be an appropriately and well-tolerated treatment option for patients carrying rs4946935 AA.

IKBKB rs2272736 is Associated with Gastric Cancer Survival

Background

IKBKB/IKKβ, as the core catalytic subunit of IκB kinase complex, participates in mediation of the classical NF-κB pathway, which has been linked to inflammation and tumorigenesis. Previous studies have shown that single nucleotide polymorphisms in IKBKB have been related to gastric cancer, but how they associate to the clinical outcome is not yet clear. In this study, we retrospectively investigated the associations between single nucleotide polymorphisms located in IKBKB and gastric cancer survival.

Materials and Methods

IKBKB rs2272736 was genotyped in 1210 patients with primary gastric cancer in a Han Chinese population, and the relationships between rs2272736 and overall survival were evaluated. We conducted Cox proportional hazards regression, which was performed to estimate the effects of single nucleotide polymorphisms on the overall survival of patients, adjusted for potential confounding variables.

Results

We found that patients with rs2272736 A allele in IKBKB had significantly prolonged overall survival time compared to those with the G allele (HR = 0.83, 95% CI = 0.68–1.00, P = 0.050). In addition, AA genotype was demonstrated to have reduced risk of death for gastric cancer compared with that associated with the GG/GA genotypes, which was more common in patients with cardiac carcinoma, well-differentiated and moderately differentiated tumors, TNM Ⅰ/Ⅱ stages and intestinal type.

Conclusion

Our findings have shown that single nucleotide polymorphism rs2272736 in IKBKB may be a promising prognostic biomarker which should promote personalized treatment.