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Cancers Aug 2023Lung cancer is one of the deadliest cancers worldwide, with a high incidence rate, especially in tobacco smokers. Lung cancer accurate diagnosis is based on distinct... (Review)
Review
Lung cancer is one of the deadliest cancers worldwide, with a high incidence rate, especially in tobacco smokers. Lung cancer accurate diagnosis is based on distinct histological patterns combined with molecular data for personalized treatment. Precise lung cancer classification from a single H&E slide can be challenging for a pathologist, requiring most of the time additional histochemical and special immunohistochemical stains for the final pathology report. According to WHO, small biopsy and cytology specimens are the available materials for about 70% of lung cancer patients with advanced-stage unresectable disease. Thus, the limited available diagnostic material necessitates its optimal management and processing for the completion of diagnosis and predictive testing according to the published guidelines. During the new era of Digital Pathology, Deep Learning offers the potential for lung cancer interpretation to assist pathologists' routine practice. Herein, we systematically review the current Artificial Intelligence-based approaches using histological and cytological images of lung cancer. Most of the published literature centered on the distinction between lung adenocarcinoma, lung squamous cell carcinoma, and small cell lung carcinoma, reflecting the realistic pathologist's routine. Furthermore, several studies developed algorithms for lung adenocarcinoma predominant architectural pattern determination, prognosis prediction, mutational status characterization, and PD-L1 expression status estimation.
PubMed: 37568797
DOI: 10.3390/cancers15153981 -
Therapeutic Advances in Medical Oncology 2023Tumor mutation burden (TMB) has been validated as a predictive biomarker for immunotherapy response and survival in numerous cancer types. Limited data is available on...
BACKGROUND
Tumor mutation burden (TMB) has been validated as a predictive biomarker for immunotherapy response and survival in numerous cancer types. Limited data is available on the inherent prognostic role of TMB in early-stage tumors.
OBJECTIVE
To evaluate the prognostic role of TMB in early-stage, resected non-small cell lung cancer (NSCLC).
DESIGN
Systematic review and meta-analysis of pertinent prospective and retrospective studies.
DATA SOURCES AND METHODS
Publication search was performed in PubMed, Embase, Cochrane Library, and Web of Science databases. Based on the level of heterogeneity, a random- or fixed-effects model was used to calculate pooled effects of hazard ratio (HR) for overall survival (OS) and disease-free survival (DFS). The source of heterogeneity was investigated using sensitivity analysis, subgroup analysis, and publication bias assessment.
RESULTS
Ten studies comprising 2520 patients were included in this analysis. There was no statistically significant difference in OS (HR, 1.18, 95% CI, 0.70, 1.33; 0.53, = 80%; < 0.0001) and DFS (HR, 1.18, 95% CI, 0.91, 1.52; = 0.53, = 75%; = 0.0001) between the high-TMB and low-TMB group. Subgroup analyses indicated that East Asian ethnicity, and TMB detected using whole exome sequencing, and studies with <100 patients had poor DFS in the high-TMB group.
CONCLUSION
The inherent prognostic role of TMB is limited in early-stage NSCLC. Ethnic differences in mutation burden must be considered while designing future trials on neoadjuvant immunotherapy. Further research in the harmonization and standardization of panel-based TMB is essential for its widespread clinical utility. CRD42023392846.
PubMed: 37667779
DOI: 10.1177/17588359231195199 -
Frontiers in Bioscience (Landmark... Oct 2023In the past 10 years, significant progress has been made in understanding the pathogenic chain of events that causes Alzheimer's disease (AD). According to the most...
BACKGROUND
In the past 10 years, significant progress has been made in understanding the pathogenic chain of events that causes Alzheimer's disease (AD). According to the most widely accepted concept, the production and aggregation of β-amyloid (Aβ) peptides play a critical role in AD. As a result, therapeutic intervention with these processes is the focus of intense research. The Aβ peptide is cleaved by the α-secretase, β-secretase, and γ-secretase enzymes in a region near the pathogenic amyloid precursor protein (APP) and mutations occurring site.
METHODS
In the current review, a complete picture of the risk factors behind AD has been investigated. Mutations involved in AD progression have also been screened in various studies.
RESULTS
Most of the mutations in the amyloid precursor protein (APP) can lead to the accumulation of APP oligomers in the brain, leading to AD. Several point mutations in APP can cause familial AD (FAD), including the Swedish mutation (K>M670/671N>L) and the A673>V mutation. The pathogenic A673>V mutation and Swedish mutation (M670>K/N671>L) are present in the same region of amyloid precursor protein (). However, the A673>T mutation has been shown to confer protection against AD.
CONCLUSION
More investigations are needed from geographically distinct regions on mutations associated with AD development and applications of nanomedicines for better management of the disease burden in the future. Nanotechnology-produced metal nanoparticles (NPs) have gotten much attention because of their wide range of uses in the medicinal and agricultural industries. Nanomedicine containing potential phytochemicals, including GX-50 and curcumin conjugated with NPs, maybe a potential candidate for treating AD.
Topics: Humans; Alzheimer Disease; Amyloid beta-Protein Precursor; Amyloid beta-Peptides; Mutation; Amyloid Precursor Protein Secretases
PubMed: 37919079
DOI: 10.31083/j.fbl2810258 -
Clinical and Translational Science May 2024The clinical application of Pharmacogenomics (PGx) has improved patient safety. However, comprehensive PGx testing has not been widely adopted in clinical practice, and... (Meta-Analysis)
Meta-Analysis Review
The clinical application of Pharmacogenomics (PGx) has improved patient safety. However, comprehensive PGx testing has not been widely adopted in clinical practice, and significant opportunities exist to further optimize PGx in cancer care. This systematic review and meta-analysis aim to evaluate the safety outcomes of reported PGx-guided strategies (Analysis 1) and identify well-studied emerging pharmacogenomic variants that predict severe toxicity and symptom burden (Analysis 2) in patients with cancer. We searched MEDLINE, EMBASE, CENTRAL, clinicaltrials.gov, and International Clinical Trials Registry Platform from inception to January 2023 for clinical trials or comparative studies evaluating PGx strategies or unconfirmed pharmacogenomic variants. The primary outcomes were severe adverse events (SAE; ≥ grade 3) or symptom burden with pain and vomiting as defined by trial protocols and assessed by trial investigators. We calculated pooled overall relative risk (RR) and 95% confidence interval (95%CI) using random effects models. PROSPERO, registration number CRD42023421277. Of 6811 records screened, six studies were included for Analysis 1, 55 studies for Analysis 2. Meta-analysis 1 (five trials, 1892 participants) showed a lower absolute incidence of SAEs with PGx-guided strategies compared to usual therapy, 16.1% versus 34.0% (RR = 0.72, 95%CI 0.57-0.91, p = 0.006, I = 34%). Meta-analyses 2 identified nine medicine(class)-variant pairs of interest across the TYMS, ABCB1, UGT1A1, HLA-DRB1, and OPRM1 genes. Application of PGx significantly reduced rates of SAEs in patients with cancer. Emergent medicine-variant pairs herald further research into the expansion and optimization of PGx to improve systemic anti-cancer and supportive care medicine safety and efficacy.
Topics: Humans; Neoplasms; Pharmacogenetics; Pharmacogenomic Variants; Antineoplastic Agents; Adult; Germ-Line Mutation; Pharmacogenomic Testing; Symptom Burden
PubMed: 38700261
DOI: 10.1111/cts.13781 -
Journal of Global Antimicrobial... Sep 2023The aim of the study was to update the classification of drugs used in multidrug-resistant tuberculosis (MDR-TB) regimens. Group A drugs (fluoroquinolones, bedaquiline... (Meta-Analysis)
Meta-Analysis Review
Evaluation of genetic mutations associated with phenotypic resistance to fluoroquinolones, bedaquiline, and linezolid in clinical Mycobacterium tuberculosis: A systematic review and meta-analysis.
OBJECTIVES
The aim of the study was to update the classification of drugs used in multidrug-resistant tuberculosis (MDR-TB) regimens. Group A drugs (fluoroquinolones, bedaquiline (BDQ), and linezolid (LZD)) are crucial drugs for the control of MDR-TB. Molecular drug resistance assays could facilitate the effective use of Group A drugs.
METHODS
We summarised the evidence implicating specific genetic mutations in resistance to Group A drugs. We searched PubMed, Embase, MEDLINE, and the Cochrane Library for studies published from the inception of each database until July 1, 2022. Using a random-effects model, we calculated the odds ratios and 95% confidence intervals as our measures of association.
RESULTS
A total of 5001 clinical isolates were included in 47 studies. Mutations in gyrA A90V, D94G, D94N, and D94Y were significantly associated with an increased risk of a levofloxacin (LFX)-resistant phenotype. In addition, mutations in gyrA G88C, A90V, D94G, D94H, D94N, and D94Y were significantly associated with an increased risk of a moxifloxacin (MFX)-resistant phenotype. In only one study, the majority of gene loci (n = 126, 90.65%) in BDQ-resistant isolates were observed to have unique mutations in atpE, Rv0678, mmpL5, pepQ, and Rv1979c. The most common mutations occurred at four sites in the rrl gene (g2061t, g2270c, g2270t, and g2814t) and at one site in rplC (C154R) in LZD-resistant isolates. Our meta-analysis demonstrated that there were no mutations associated with BDQ- or LZD-resistant phenotypes.
CONCLUSION
The mutations detected by rapid molecular assay were correlated with phenotypic resistance to LFX and MFX. The absence of mutation-phenotype associations for BDQ and LZD hindered the development of a rapid molecular assay.
Topics: Humans; Mycobacterium tuberculosis; Linezolid; Fluoroquinolones; Antitubercular Agents; Tuberculosis, Multidrug-Resistant; Levofloxacin; Phenotype
PubMed: 37172764
DOI: 10.1016/j.jgar.2023.05.001 -
International Immunopharmacology Nov 2023Tumor mutation burden (TMB) is a complement to traditional biomarkers related to the efficacy of immune checkpoint inhibitors (ICIs). The relationship between TMB and... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Tumor mutation burden (TMB) is a complement to traditional biomarkers related to the efficacy of immune checkpoint inhibitors (ICIs). The relationship between TMB and the efficacy of ICIs in gastric cancer was controversial. The systematic review and meta-analysis were conducted to investigate the predictive value of TMB on survival of gastric cancer patients treated with ICIs.
METHODS
We searched the databases PubMed, Embase, and Web of Science for articles, then screened eligible articles according to inclusion criteria. The effective data were extracted to calculate the pooled effects of hazard ratio (HR) for overall survival (OS) and progression-free survival (PFS), then perform publication bias, sensitivity analysis, and subgroup analysis by STATA 16.0.
RESULTS
The high TMB patients showed significantly longer survival than the low TMB patients (OS: HR 0.65,95% CI 0.55, 0.77, p < 0.001; PFS: HR 0.51, 95% CI 0.33, 0.77, p = 0.001). In the Asian subgroup, patients with high TMB exhibited better prognosis compared to low TMB (OS: HR 0.56, 95% CI 0.43, 0.72, p < 0.001; PFS: HR 0.45, 95% CI 0.28, 0.72, p = 0.001). In the non-Asian subgroup, the survival benefit was observed to be skewed toward patients with high TMB, but it was not statistically significant (OS:HR 0.61, 95% CI 0.32, 1.16, p = 0.133; PFS:HR 0.68, 95% CI 0.31, 1.48, p = 0.322).
CONCLUSIONS
This meta-analysis demonstrated that gastric cancer patients with high TMB showed significant benefits from ICIs compared to those with low TMB patients, particularly in Asian populations.
Topics: Humans; Immune Checkpoint Inhibitors; Stomach Neoplasms; Databases, Factual; Progression-Free Survival; Mutation
PubMed: 37748223
DOI: 10.1016/j.intimp.2023.110986 -
The Lancet. Microbe Feb 2024Clinical bedaquiline resistance predominantly involves mutations in mmpR5 (Rv0678). However, mmpR5 resistance-associated variants (RAVs) have a variable relationship... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Clinical bedaquiline resistance predominantly involves mutations in mmpR5 (Rv0678). However, mmpR5 resistance-associated variants (RAVs) have a variable relationship with phenotypic Mycobacterium tuberculosis resistance. We did a systematic review to assess the maximal sensitivity of sequencing bedaquiline resistance-associated genes and evaluate the association between RAVs and phenotypic resistance, using traditional and machine-based learning techniques.
METHODS
We screened public databases for articles published from database inception until Oct 31, 2022. Eligible studies performed sequencing of at least mmpR5 and atpE on clinically sourced M tuberculosis isolates and measured bedaquiline minimum inhibitory concentrations (MICs). A bias risk scoring tool was used to identify bias. Individual genetic mutations and corresponding MICs were aggregated, and odds ratios calculated to determine association of mutations with resistance. Machine-based learning methods were used to define test characteristics of parsimonious sets of diagnostic RAVs, and mmpR5 mutations were mapped to the protein structure to highlight mechanisms of resistance. This study was registered in the PROSPERO database (CRD42022346547).
FINDINGS
18 eligible studies were identified, comprising 975 M tuberculosis isolates containing at least one potential RAV (mutation in mmpR5, atpE, atpB, or pepQ), with 201 (20·6%) showing phenotypic bedaquiline resistance. 84 (29·5%) of 285 resistant isolates had no candidate gene mutation. Sensitivity and positive predictive value of taking an any mutation approach was 69% and 14%, respectively. 13 mutations, all in mmpR5, had a significant association with a resistant MIC (adjusted p<0·05). Gradient-boosted machine classifier models for predicting intermediate or resistant and resistant phenotypes both had receiver operator characteristic c statistic of 0·73 (95% CI 0·70-0·76). Frameshift mutations clustered in the α1 helix DNA-binding domain, and substitutions in the α2 and α3 helix hinge region and in the α4 helix-binding domain.
INTERPRETATION
Sequencing candidate genes is insufficiently sensitive to diagnose clinical bedaquiline resistance, but where identified, some mutations should be assumed to be associated with resistance. Genomic tools are most likely to be effective in combination with rapid phenotypic diagnostics. This study was limited by selective sampling in contributing studies and only considering single genetic loci as causative of resistance.
FUNDING
Francis Crick Institute and National Institute of Allergy and Infectious Diseases at the National Institutes of Health.
Topics: United States; Humans; Antitubercular Agents; Diarylquinolines; Tuberculosis; Mycobacterium tuberculosis; Genomics
PubMed: 38215766
DOI: 10.1016/S2666-5247(23)00317-8 -
European Journal of Medical Research Aug 2023Previous studies showed that the combination of bevacizumab and erlotinib (combination therapy) significantly prolonged progression-free survival (PFS) but no overall... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
Previous studies showed that the combination of bevacizumab and erlotinib (combination therapy) significantly prolonged progression-free survival (PFS) but no overall survival (OS) compared to erlotinib alone (monotherapy) for advanced EGFR-mutant non-small cell lung cancer (NSCLC). Two phase III randomized controlled trials (RCTs) had reported the OS results in 2021. This meta-analysis aimed to include the results of the two RCTs to make a decision.
MATERIALS AND METHODS
We systematically searched relevant databases for RCTs on the use of bevacizumab plus erlotinib in advanced EGFR-mutant NSCLC. The main outcomes of interest were PFS, OS, and the reported hazard ratio (HR). Fixed-effect model was used to estimate pooled HR.
RESULTS
Total 5 RCTs with 935 patients were eligible for this meta-analysis. All studies reached their primary study endpoints including PFS and OS. Compared to monotherapy, combination therapy remarkably prolonged PFS (HR = 0.60, 95% confidence interval CI 0.51-0.70; p < 0.00001); however, OS was similar between the two groups (HR = 0.90, 95% CI 0.76-1.08; p = 0.26). Subgroup analysis demonstrated that in deletion within exon 19 (19del) mutation subgroup, the combination therapy could only prolong PFS (HR = 0.60, 95% CI 0.47-0.76; p < 0.0001) but not OS (HR = 1.00, 95% CI 0.73-1.37; p = 1.00), and also in leucine-to-arginine substitution in exon 21 (L858R) mutation subgroup (HR = 0.59, p < 0.0001 and HR = 0.80, p = 0.18, respectively). For patients with brain metastasis at baseline, the combination therapy achieved a significant better PFS than the monotherapy (HR = 0.60, 95% CI 0.39-0.90; p = 0.01), and a better OS with the difference marginally significant (HR = 0.69, 95% CI 0.46-1.02; p = 0.06).
CONCLUSIONS
Combination of bevacizumab and erlotinib can prolong progression-free survival but not overall survival compared to erlotinib alone in advanced EGFR-mutant non-small cell lung cancer patients. The combination therapy not only can prolong progression-free survival but also has a tendency to prolong overall survival for patients with brain metastasis at baseline.
Topics: Humans; Carcinoma, Non-Small-Cell Lung; Bevacizumab; Erlotinib Hydrochloride; Randomized Controlled Trials as Topic; Brain Neoplasms; Lung Neoplasms; ErbB Receptors
PubMed: 37635242
DOI: 10.1186/s40001-023-01272-7 -
La Clinica Terapeutica 2023COVID-19 disease is caused by a mutated strain of the coronavirus family "SARS-CoV-2". It affects especially the respiratory system, but many clinical manifestations...
INTRODUCTION
COVID-19 disease is caused by a mutated strain of the coronavirus family "SARS-CoV-2". It affects especially the respiratory system, but many clinical manifestations outside this system have been reported. Oral manifestations are uncommon, however, with the absence of common signs, they may represent the onset of COVID-19 disease. The aim of this systematic review is to observe if there is a correlation between SARS-CoV-2 infection and oral manifestations.
METHODS
The research was conducted on PubMed, Scopus, Google Scholars and Cochrane Library from March 2020 to May 2023. Each study was subjected to data extraction; including authors, year and month of publication, study type, patients' average age, type and localization of oral lesions, the positivity of the SARS-CoV-2 virus test, and comorbidities.
RESULTS
A total of 43 studies met the inclusion criteria and a total of 507 COVID-19 patients with 496 oral lesions were included. The most frequent was ulceration and the most common localization was the tongue.
CONCLUSIONS
The results of our systematic review show a possible correlation between COVID-19 infection and oral manifestations. Further studies are required to determine if the lesions are directly connected to the virus.
Topics: Humans; COVID-19; SARS-CoV-2; Research Design
PubMed: 38048120
DOI: 10.7417/CT.2023.5024 -
Rheumatology and Therapy Aug 2023Gout is an inflammatory, metabolic disease associated with a high comorbidity burden including cardiovascular disease, hypertension, type 2 diabetes, hyperlipidemia,... (Review)
Review
INTRODUCTION
Gout is an inflammatory, metabolic disease associated with a high comorbidity burden including cardiovascular disease, hypertension, type 2 diabetes, hyperlipidemia, renal disease, and metabolic syndrome. Approximately 9.2 million Americans have gout, making prognosis and treatment outcome predictors highly important. About 600,000 Americans have early-onset gout (EOG), generally defined as first gout attack at ≤ 40 years of age. However, data on EOG clinical features, comorbidity profile, and treatment response are sparse; this systematic literature review provides insight.
METHODS
PubMed and American College of Rheumatology (ACR)/European Alliance of the Associations for Rheumatology (EULAR) abstract archives were searched for early-onset gout, "early onset gout," and ("gout" AND "age of onset"). Duplicate, foreign language, single case report, older (before 2016), and irrelevant/data insufficient publications were excluded. The age of diagnosis categorized patients as having common gout (CG, generally > 40 years) or EOG (generally ≤ 40 years). Applicable publications were extensively reviewed/discussed among authors for inclusion/exclusion consensus.
RESULTS
A total of 283 publications were identified, with 46 (35 articles, 10 abstracts) reviewed and 17 (12 articles, 5 abstracts) ultimately included. Eleven reported clinical characteristics, with 6 EOG-CG retrospective/cross-sectional comparisons. Gout diagnosis preceded cardiometabolic comorbidity and renal comorbidities were less prevalent in EOG than CG patients. EOG patients had more severe disease (more gout flares, polyarticular disease), higher pre-therapy serum urate (SU), and worse oral urate-lowering therapy response. Genetics-focused publications reported higher incidences of dysfunctional urate transporter mutations in EOG patients.
CONCLUSIONS
This review suggests that EOG is more recalcitrant to urate-lowering therapy, is associated with urate transporter defects, and carries heavy disease burden. Therefore, early rheumatology referral and urate-lowering in a treat-to-target fashion may benefit EOG patients. Interestingly, EOG patients had fewer cardiometabolic comorbidities at diagnosis than CG patients, presenting a potential "window of opportunity" to attenuate cardiometabolic comorbidity development with SU control. Preventing gout-related suffering and health burden is particularly important in these young EOG patients who will live with gout and its sequelae for decades.
PubMed: 37335432
DOI: 10.1007/s40744-023-00565-x