Design strategies for enhancing antitumor efficacy through tumor microenvironment exploitation using albumin-based nanosystems: A review

Zhang, Cai; Yang, Kai; Yang, Guangbao

doi:10.1016/j.ijbiomac.2023.129070

Cited by 3 publications

(2 citation statements)

References 135 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, how the administration of albumin formulations affects the development of tumors and the changes in the immune environment of albumin carriers after treatment of tumors, as well as the effects of subsequent tumor metastasis and recurrence are the interesting studies. 272 The field of nanomedicine is attracting more and more attention as it offers efficient and smart therapeutic options for the treatment of cancer, inflammatory and other diseases. In this field, albumin nanoparticles are attracting attention due to their high affinity for hydrophobic drugs, surface modification possibilities and high loading capacity, which allows us to overcome the formidable hurdles posed by many of the compounds currently on the market.…”

Section: Discussionmentioning

confidence: 99%

Albumin Nanoparticle-Based Drug Delivery Systems

Qu,

Song,

et al. 2024

IJN

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Albumin Nanoparticle-Based Drug Delivery Systems

Qu,

Song,

et al. 2024

IJN

View full text Add to dashboard Cite

“…NSAIDs, being primarily administered orally, enter the bloodstream through the gastrointestinal tract and then circulate throughout the body [1]. Human serum albumin (HSA), the main globular protein in the human bloodstream, plays many important roles including maintaining the intravascular colloid osmotic pressure, neutralizing toxins, preventing the photodegradation of folic acid, exhibiting neuroprotective and recovery enhancement effects, maintaining blood-brain barrier (BBB) integrity, and reducing neuronal oxidative stress and apoptosis, and it is the main carrier of various substances, including fatty acids (FAs), bilirubin, metal ions, hormones, and NSAIDs [7][8][9][10][11][12][13][14][15]. The binding of NSAIDs to albumin can impact their unbound concentration in the blood (the fraction of the drug responsible for exerting pharmacological effects), affecting the residence time, efficacy, safety, distribution, metabolism, and elimination of NSAIDs in the body, i.e., influencing their pharmacokinetics and pharmacodynamics properties [7,16].…”

Section: Introductionmentioning

confidence: 99%

Revisiting and Updating the Interaction between Human Serum Albumin and the Non-Steroidal Anti-Inflammatory Drugs Ketoprofen and Ketorolac

Cunha,

Cruz,

Costa

et al. 2024

Molecules

View full text Add to dashboard Cite

Ketoprofen (KTF) and ketorolac (KTL) are among the most primarily used non-steroidal anti-inflammatory drugs (NSAIDs) in humans to alleviate moderate pain and to treat inflammation. Their binding affinity with albumin (the main globular protein responsible for the biodistribution of drugs in the bloodstream) was previously determined by spectroscopy without considering some conventional pitfalls. Thus, the present work updates the biophysical characterization of the interactions of HSA:KTF and HSA:KTL by 1H saturation-transfer difference nuclear magnetic resonance (1H STD-NMR), ultraviolet (UV) absorption, circular dichroism (CD), steady-state, and time-resolved fluorescence spectroscopies combined with in silico calculations. The binding of HSA:NSAIDs is spontaneous, endothermic, and entropically driven, leading to a conformational rearrangement of HSA with a slight decrease in the α-helix content (7.1% to 7.6%). The predominance of the static quenching mechanism (ground-state association) was identified. Thus, both Stern–Volmer quenching constant (KSV) and binding constant (Kb) values enabled the determination of the binding affinity. In this sense, the KSV and Kb values were found in the order of 104 M−1 at human body temperature, indicating moderate binding affinity with differences in the range of 0.7- and 3.4-fold between KTF and KTL, which agree with the previously reported experimental pharmacokinetic profile. According to 1H STD-NMR data combined with in silico calculations, the aromatic groups in relation to the aliphatic moiety of the drugs interact preferentially with HSA into subdomain IIIA (site II) and are stabilized by interactions via hydrogen bonding and hydrophobic forces. In general, the data obtained in this study have been revised and updated in comparison to those previously reported by other authors who did not account for inner filter corrections, spectral backgrounds, or the identification of the primary mathematical approach for determining the binding affinity of HSA:KTF and HSA:KTL.

show abstract

Predictive Efficacy of the Advanced Lung Cancer Inflammation Index in Hepatocellular Carcinoma After Hepatectomy

Qiu,

Shen,

et al. 2024

JIR

View full text Add to dashboard Cite

Background Hepatocellular carcinoma (HCC) presents a significant global health challenge due to its poor prognosis and high recurrence rates post-surgery. This study examines the predictive efficacy of the Advanced Lung Cancer Inflammation Index (ALI) in assessing the post-hepatectomy prognosis of patients with HCC. Methods A cohort comprising 1654 HCC patients who underwent hepatectomy at Guangxi Medical University Cancer Hospital from 2013 to 2019 was enrolled. Patients were stratified into two groups according to the median ALI level, and then subjected to propensity score matching (PSM) in a 1:1 ratio. Kaplan-Meier survival curves, the traditional Cox proportional hazards (CPH) model, and machine learning (ML) models were employed to analyze and evaluate ALI’s prognostic significance. Furthermore, ALI’s prognostic value in digestive system tumors was validated via analysis of the National Health and Nutrition Examination Survey (NHANES) database. Results After applying PSM, a final cohort of 1284 patients, categorized into high and low ALI groups, revealed a significantly reduced survival time in the low ALI cohort. Univariate and multivariate Cox analyses identified ALI, BCLC stage, CK19, Hepatitis B virus (HBV) DNA, lymph node metastasis, and microvascular invasion (MVI) as independent predictors of prognosis. Both traditional CPH and ML models incorporating ALI demonstrated excellent predictive accuracy, validated through calibration curves, time-dependent ROC curves, and decision curve analysis. Furthermore, the prognostic value of ALI in digestive tumors was confirmed in the NHANES database. Conclusion The ALI exhibits potential as a prognostic predictor in patients with HCC following hepatectomy, providing valuable insights into postoperative survival.

show abstract

Design strategies for enhancing antitumor efficacy through tumor microenvironment exploitation using albumin-based nanosystems: A review

Cited by 3 publications

References 135 publications

Albumin Nanoparticle-Based Drug Delivery Systems

Albumin Nanoparticle-Based Drug Delivery Systems

Revisiting and Updating the Interaction between Human Serum Albumin and the Non-Steroidal Anti-Inflammatory Drugs Ketoprofen and Ketorolac

Predictive Efficacy of the Advanced Lung Cancer Inflammation Index in Hepatocellular Carcinoma After Hepatectomy

Contact Info

Product

Resources

About