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Clinical Lung Cancer Jan 2024With the widespread application of immune checkpoint inhibitor (ICI) combined with radiotherapy (RT) for the treatment of lung cancer, increasing attention has been paid... (Meta-Analysis)
Meta-Analysis
Effect of Sequence of Radiotherapy Combined With Immunotherapy on the Incidence of Pneumonitis in Patients With Lung Cancer: A Systematic Review and Network Meta-Analysis.
BACKGROUND
With the widespread application of immune checkpoint inhibitor (ICI) combined with radiotherapy (RT) for the treatment of lung cancer, increasing attention has been paid to treatment-related pneumonitis. The effect of the treatment sequence on the incidence of pneumonitis remains unclear.
METHODS
We searched databases including PubMed, Embase, and ClinicalTrials.gov, meeting abstracts, and reference lists of relevant review articles for literature published on radio- and immunotherapy in lung cancer. Stata software (version 16.0) was used for meta-analysis. Data on the incidence of any grade and ≥ grade 3 pneumonitis was pooled using the random effects model. Bayesian network meta-analysis was used for arm-based pairwise comparisons. Subgroup analyses were performed to identify the potential influencing factors.
RESULTS
Thirty-eight studies met our inclusion criteria. The network meta-analysis showed no significant difference between the incidence of pneumonitis in concurrent ICI with RT (concurrent arm) and RT followed by ICI (RT-first arm) (odds ratio [OR]: 0.71, 95% confidence interval [CI]: 0.10-4.81). In the meta-analysis of single group rates, RT following ICI (ICI-first arm) exhibited higher incidence of any grade pneumonitis compared with concurrent- and RT-first arms, with 0.321 (95% CI: 0.260-0.386) for programmed cell death protein 1 (PD-1) inhibitors from clinical trials, and 0.480 (95% CI: 0.363-0.598) for PD-1 inhibitors from real-world retrospective data, respectively.
CONCLUSION
No significant difference in the incidence of any grade and grade ≥ 3 pneumonitis was found between RT-first and concurrent arms. The ICI-first arm exhibited a higher incidence of pneumonitis, which needs to be further confirmed by follow-up studies.
Topics: Humans; Bayes Theorem; Immunotherapy; Incidence; Lung Neoplasms; Network Meta-Analysis; Pneumonia; Retrospective Studies
PubMed: 37612176
DOI: 10.1016/j.cllc.2023.08.008 -
Cureus Jul 2023Colorectal cancer (CRC) is a major global health concern, accounting for significant cancer-related morbidity and mortality worldwide. Despite advancements in early... (Review)
Review
Protective Effects of Long-Term Usage of Cyclo-Oxygenase-2 Inhibitors on Colorectal Cancer in Genetically Predisposed Individuals and Their Overall Effect on Prognosis: A Systematic Review.
Colorectal cancer (CRC) is a major global health concern, accounting for significant cancer-related morbidity and mortality worldwide. Despite advancements in early detection and treatment modalities, the prevention of CRC remains a critical goal. Cyclo-oxygenase-2 (COX-2) is an inducible enzyme involved in the production of pro-inflammatory prostaglandins, which play a crucial role in various cellular processes, including inflammation, cell proliferation, apoptosis, and angiogenesis. Elevated COX-2 expression has been consistently observed in colorectal tumors, indicating their role in the pathogenesis of cancer. COX-2 inhibitors, such as celecoxib and rofecoxib, have been studied as potentially effective treatment modalities due to their ability to decrease prostaglandin levels, which are generally higher in cancer patients. Aberrant prostaglandin production is linked to the adenoma-carcinoma sequence, during which adenomas turn dysplastic and accumulate enough damage to become malignant. COX-2 inhibitors have also been shown to modulate various signaling pathways involved in CRC development, such as wingless-related integration site/β-catenin (Wnt/β-catenin), mitogen-activated protein kinase (MAPK), and phosphoinositide-3-kinase-protein kinase B/Akt (PI3K/Akt) pathways. This systematic review aimed to evaluate the protective effects of long-term usage of COX-2 inhibitors on CRC in genetically predisposed individuals and their overall effect on the prognosis of the disease. The researchers conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines and collected data from several databases, including PubMed, PubMed Central, Cochrane Library, and Web of Science. The search strategy combined keywords related to CRC, COX-2 inhibitors, protective effects, and prognosis. They identified 1189 articles and shortlisted 26 full-text articles that met the eligibility criteria. Quality assessment tools, such as the Assessment of Multiple Systematic Review (AMSTAR) for systematic reviews, the Cochrane bias assessment tool for randomized control trials, the scale for the assessment of narrative review articles (SANRA) checklist for narrative reviews, and the Joanna Briggs Institute (JBI) tool for cross-sectional studies and case reports, are used. This review's conclusions will assist in determining the effectiveness of COX-2 inhibitors to prevent CRC. This review may also contribute to developing guidelines for clinicians to manage genetically predisposed individuals with CRC. Furthermore, the results of this review will shed light on the potential of COX-2 inhibitors as a preventive measure against CRC in genetically predisposed individuals.
PubMed: 37588311
DOI: 10.7759/cureus.41939 -
Vaccine Aug 2023Vaccines for avian influenza (AI) can protect poultry against disease, mortality, and virus transmission. Numerous factors, including: vaccine platform, immunogenicity,... (Meta-Analysis)
Meta-Analysis Review
Vaccines for avian influenza (AI) can protect poultry against disease, mortality, and virus transmission. Numerous factors, including: vaccine platform, immunogenicity, and relatedness to the field strain, are known to be important to achieving optimal AI vaccine efficacy. To better understand how these factors contribute to vaccine protection, a systematic meta-analysis was conducted to evaluate efficacy data for vaccines in chickens challenged with highly pathogenic (HP) AI. Data from a total of 120 individual trials from 25 publications were selected and evaluated. Two vaccine criteria were evaluated for their effects on two metrics of protection. The vaccine criteria were: 1) the relatedness of the vaccine antigen and challenge strain in the hemagglutinin 1 domain (HA1) protein sequence; 2) vaccine-induced antibody titers to the challenge virus (VIAC). The metrics of protection were: A) survival of vaccinated chickens vs unvaccinated controls; and B) reduction in oral virus-shedding by vaccinated vs unvaccinated controls 2-4 days post challenge. Three vaccine platforms were evaluated: oil-adjuvanted inactivated whole AI virus, recombinant herpes virus of turkeys (rHVT) vectored, and a non-replicating alpha-virus vectored RNA particle (RP) vaccine. Higher VIAC correlated with greater reduction of virus-shed and vaccine efficacy by all vaccine platforms. Both higher HA1 relatedness and higher VIAC using challenge virus as antigen correlated with better survival by inactivated vaccines and rHVT-vectored vaccines. However, rHVT-vectored and RP based vaccines were more tolerant of variation in the HA1; the relatedness of the HA1 of the vaccine and challenge virus did not significantly correlate with survival with rHVT-vectored vaccines. Protection was achieved with the lowest aa similarity for which there was data, 90-93 % for rHVT vaccines and 88 % for the RP vaccine.
Topics: Animals; Chickens; Influenza Vaccines; Influenza in Birds; Influenza A Virus, H5N1 Subtype; Vaccines, Synthetic; Influenza A virus; Herpesvirus 1, Meleagrid
PubMed: 37537093
DOI: 10.1016/j.vaccine.2023.07.076 -
Briefings in Bioinformatics Jul 2023In only a few years, as a breakthrough technology, clustered regularly interspaced short palindromic repeats/CRISPR-associated protein (CRISPR/Cas) gene-editing systems...
In only a few years, as a breakthrough technology, clustered regularly interspaced short palindromic repeats/CRISPR-associated protein (CRISPR/Cas) gene-editing systems have ushered in the era of genome engineering with a plethora of applications. One of the most promising CRISPR tools, so-called base editors, opened an exciting avenue for exploring new therapeutic approaches through controlled mutagenesis. However, the efficiency of a base editor guide varies depending on several biological determinants, such as chromatin accessibility, DNA repair proteins, transcriptional activity, factors related to local sequence context and so on. Thus, the success of genetic perturbation directed by CRISPR/Cas base-editing systems relies on an optimal single guide RNA (sgRNA) design, taking those determinants into account. Although there is 11 commonly used software to design guides specifically for base editors, only three of them investigated and implemented those biological determinants into their models. This review presents the key features, capabilities and limitations of all currently available software with a particular focus on predictive model-based algorithms. Here, we summarize existing software for sgRNA design and provide a base for improving the efficiency of existing available software suites for precise target base editing.
Topics: RNA, Guide, CRISPR-Cas Systems; Gene Editing; CRISPR-Cas Systems; Software; DNA
PubMed: 37287132
DOI: 10.1093/bib/bbad205