PurposeTo comprehensively evaluate the efficacy and safety of combining poly (ADP-ribose) polymerase (PARP) inhibitors with chemotherapy in patients with advanced breast cancer.MethodsA systematic literature search was conducted in PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov to identify randomized controlled trials (RCTs) evaluating PARP inhibitor-chemotherapy combinations. Studies reporting progression-free survival (PFS), overall survival (OS), overall response rate (ORR), and safety outcomes were included. Data extraction and quality assessment were performed independently by two reviewers, and a meta-analysis was conducted using random-effects models.ResultsOf 970 studies retrieved, four RCTs involving 1064 patients met the inclusion criteria. PARP inhibitors combined with chemotherapy significantly improved PFS (hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.63-0.84, P < .0001) and showed a trend towards improved OS (HR 0.93, 95% CI 0.79-1.09, P = .36), though this was not statistically significant. There was no significant improvement in ORR (RR 1.08, 95% CI 0.98-1.20, P = .13). Regarding safety, no significant difference was observed in all grades or grade 3-4 adverse events (AEs) overall, but the combination therapy was associated with an increased risk of anemia, nausea, and diarrhea (RRs ranging from 1.14 to 1.29, all P < .01).ConclusionPARP inhibitor combined with chemotherapy is an effective option for the treatment of patients with advanced breast cancer, but its potential increased risks of specific AEs need to be weighed. Clinicians should make individualized treatment plans according to the specific conditions of patients, comprehensive consideration of efficacy and safety.

Basal cell carcinoma (BCC) is a prevalent form of skin cancer that can be localized or metastatic. Current evidence supports the use of Hedgehog (Hh) pathway inhibitors for locally advanced or metastatic BCC with resistance due to genetic alterations in the Hh pathway. This systematic review evaluated the prevalence of genetic alterations in Hh pathway genes in BCC.

The efficacy of regorafenib or fruquintinib in combination with PD-1/PD-L1 inhibitors for metastatic colorectal cancer (mCRC) treatment has not been elucidated. This study aims to systematically evaluate the efficacy and safety of this combination therapy.

The use of plant extracts and the compounds isolated from them for the treatment of cancer is an area of active research, given their therapeutic potential. This work focused on evaluating the literature related to the antiproliferative activity of extracts obtained from plants of the genus Tabebuia and molecules isolated in vitro or in vivo. For the search, MeSH and DECS terms were employed in the PubMed, Scopus, and SciELO databases. Research has shown that plant extracts derived from plants of the genus Tabebuia exhibit potential applications in the search for new molecules with antiproliferative activity. Among the isolated molecules, the most evaluated correspond to β-lapachone (naphthoquinone); however, molecules with antiproliferative potential belonging to groups such as iridoids, flavonoids, quinones, furanonaphthoquinones, triterpenes, and polysaccharides have also been isolated and reported. Additionally, synthesized molecules have been evaluated on the basis of the modifications made to the structures of molecules isolated from the plant extracts to increase their activity, aiming to develop more potent antitumor agents for future clinical use.

The incidence of cancer diagnosed during pregnancy is increasing, but data relating to perinatal outcomes for infants exposed to systemic cancer treatment in utero remain limited. This systematic review and meta-analysis aimed to synthesise evidence from the available literature to investigate whether perinatal outcomes for babies born to women with gestational cancer differ based on whether they are exposed to systemic cancer treatment in utero.

Combination of multiple therapies is a common approach to treating patients with unresectable hepatocellular carcinoma (uHCC). The impact of immune checkpoint inhibitors (ICIs) on prognosis in uHCC patients treated with transarterial chemoembolization (TACE) and lenvatinib remains unclear.

Immune checkpoint inhibitors (ICIs) significantly improve survival in lung cancer patients. However, checkpoint inhibitor pneumonitis (CIP) remains a critical safety concern. This meta-analysis systematically evaluates demographic, clinical, and laboratory risk factors associated with CIP development to guide risk-stratified management.

This review aimed to evaluate the effects of exercise-based interventions on cancer therapy-related cardiovascular toxicity (CTR-CVT) in individuals with cancer.

Febrile neutropenia (FN) is a life-threatening complication of chemotherapy. Although practice guidelines suggest the use of existing prediction models when making decisions to prevent and treat FN, recent evidence suggests that these models are limited in their discriminative ability. This study aims to systematically review and critically evaluate the recent literature to assess the question: what evidence-based clinical prediction models can be used to predict FN or its outcomes?

To update the systematic review of assessment tools on chemotherapy-induced peripheral neuropathy (CIPN) for pediatric oncology patients based on the evidence available after the published review in 2020.

The aim of this study was to reveal the hepatotoxicity profile of different immune checkpoint inhibitor (ICI) used strategies in patients with Hepatocellular carcinoma (HCC) by meta-analysis.

Recent advances in deep learning and machine learning have greatly increased the capabilities of extracting features for evaluating the response to anti VEGF treatment in patients with Diabetic Macular Edema (DME). In this review, we explore how these algorithms can be used for discriminating between responders and non-responders to anti vascular endothelial growth factor (VEGF) injections. Electronic databases, including PubMed, IEEE Xplore, BioMed, JAMA, and Google Scholar, were searched, and reference lists from relevant publications were also considered from inception till August 31, 2023, based on the inclusion and exclusion criteria. Data extraction was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The results focus on keywords such as DME, OCT, anti VEGF, and patient responses after anti VEGF injections. The article measures the effectiveness of different machine learning and deep learning algorithms, including linear discriminant analysis (LDA), ResNet-50, CNN with attention, quadratic discriminant analysis (QDA), random forest (RF), and support vector machines (SVM), in analyzing eyes that could tolerate extended interval dosing. According to a review of 50 relevant papers published between 2016 and 2023, the algorithms achieved an average automated sensitivity of 74% (95% CI: 0.55-0.92) in detecting treatment responses.

Antibody-drug conjugates (ADCs) have emerged as a transformative therapeutic modality in oncology, offering unprecedented precision in targeting tumor cells while sparing healthy tissues. In bladder cancer, a malignancy with high recurrence rates and limited treatment options, ADCs have demonstrated remarkable efficacy by targeting specific tumor-associated antigens such as NECTIN-4 and Human Epidermal Growth Factor Receptor 2 (HER2). This review provides a comprehensive evaluation of the current landscape of ADC-based therapies for bladder cancer, focusing on their mechanisms of action, clinical efficacy, and safety profiles.

Accurately quantifying adverse event (AE) costs is essential for cost-effectiveness analyses (CEAs) of anticancer drugs. Misestimates in AE costs may significantly affect cost-effectiveness conclusions.

Cisplatin-induced acute kidney injury (cis-AKI) is not rare in oncological patients clinically, but there are limited prevention and treatment methods available. The efficacy of hydrogen sulfide (H2S) in mitigating cis-AKI has been studied and determined in animal models.

While anthracyclines, commonly used in cancer treatment, are well known to cause cardiotoxicity, no validated biomarkers currently exist that can predict the early development of doxorubicin-induced cardiotoxicity (DIC). Therefore, identifying early biomarkers of DIC is urgently needed. Metabolomics approaches have been used to elucidate this relationship and identified related metabolite markers. However, differences in pre-clinical model systems make it challenging to draw definitive conclusions from the discoveries and translate findings into clinical applications.

This study aims to comprehensively evaluate the hematologic toxicity profiles, toxicity spectrum, and safety rankings of immune checkpoint inhibitors (ICIs) used for digestive system tumors. The PubMed, Cochrane Library, Web of Science, and Embase databases were systematically searched from inception to August 2024 to identify randomized controlled trials (RCTs). The primary outcome was anemia, while secondary outcomes included neutropenia, neutrophil count decreased, thrombocytopenia, platelet count decreased, leukopenia, white blood cell (WBC) count decreased, lymphocyte count decreased, and febrile neutropenia (FN). Subgroup analyses were performed based on tumor type, country category, study phase, ICI regimen, control group, chemotherapy regimen, ICI plus different chemotherapy regimens. Two reviewers independently selected the studies, extracted data according to pre-specified criteria, and assessed the risk of bias using the Cochrane Collaboration risk of bias tool. RevMan 5.4 software was utilized to visualize the risk of bias assessments. Stata 16.0 was used to conduct network meta-analysis, sensitivity analysis and meta-regression. 25 phase II and III RCTs (n = 15216) were included. The general safety of ICIs ranked from high to low for grade 1-5 anemia were as follows: avelumab, nivolumab, pembrolizumab, sintilimab, camrelizumab, and tislelizumab. For grade 3-5 anemia, the general safety profile of the ICIs were as follows, from highest to lowest: avelumab, nivolumab, pembrolizumab, sintilimab, and camrelizumab. Compared to chemotherapy, treatment-related hematologic toxicities with ICIs occurred primarily in grade 1-5 anemia, neutropenia, thrombocytopenia, leukopenia, and WBC count decreased. Taking ICI monotherapy, nivolumab plus ipilimumab were generally safer than taking chemotherapy, one ICI drug with chemotherapy, or two ICI drugs with chemotherapy. In terms of grade 1-5 hematologic toxicities, tislelizumab had the highest risk of neutropenia and leukopenia; the primary treatment-adverse events (AEs) for sintilimab was neutrophil count decreased and WBC count decreased; the primary treatment-related AE associated with nivolumab was platelet count decreased; camrelizumab posed the highest risk for lymphocyte count decreased. In terms of grade 3-5 hematologic toxicities, pembrolizumab was predominantly linked to neutropenia; sintilimab showed the greatest risk for neutrophil count decreased, platelet count decreased, and lymphocyte count decreased; avelumab was most associated with WBC count decreased. FN primarily manifested as grade 3-5, with camrelizumab having the highest risk. Among agents used in gastric or gastroesophageal junction cancer, avelumab demonstrated the most favorable safety profile for anemia. Each treatment regimen has its unique safety profile. Early identification and management of ICI-related hematologic toxicities are essential in clinical practice.Systematic Review Registration: PROSPERO CRD42024571508.

This meta-analysis systematically evaluated the effectiveness and safety of immune checkpoint inhibitors (ICIs) in treating advanced cervical cancer, emphasizing their potential as transformative therapeutic options in this complex clinical landscape.

Patients with cancer treated with immune checkpoint inhibitors are at increased risk of myocardial infarction and ischemic stroke. The mechanism is incompletely understood but may involve accelerated atherosclerosis due to enhanced inflammation. Pre-clinical studies may provide insight in these mechanisms.

Multiple myeloma (MM) is a hematological malignancy with limited treatment options for patients with relapsed/refractory MM (RRMM). Teclistamab, a B-cell maturation antigen (BCMA) × CD3 bispecific antibody, has shown promising results in clinical trials and real-world studies.