Anti-cancer drugs can be toxic to healthy cells in the body and have the potential to cause irreversible damage to ovarian tissue. This may lead to premature ovarian insufficiency. There are two main strategies to preserve fertility in women undergoing chemotherapy treatment for cancer. One is controlled ovarian hyperstimulation with gonadotropins and a protective agent for safety, followed by freezing of oocytes or embryos; the other is ovarian suppression using gonadotropin-releasing hormone agonists (GnRH agonists). This review aims to gain an understanding of the best way to support women with cancer to preserve their fertility. As breast cancer is the most common cancer in women worldwide, it is the primary focus of this review.

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.

To investigate the prophylactic effect of compression therapy against chemotherapy-induced peripheral neuropathy (CIPN) through meta-analytic evaluation.

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?

Endocrine therapy is an essential treatment to improve disease-free and overall survival in patients with hormone receptor-positive breast cancer. However, symptoms associated with endocrine therapy severely affect patients' quality of life and medication adherence. To inform symptom management strategies, this study systematically reviews research on patients' symptom experiences and coping strategies during endocrine therapy.

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.

Non-small cell lung cancer (NSCLC) is the most prevalent form of lung cancer, characterized by dysregulated signaling pathways. Many Sophora compounds exhibit potential anti-NSCLC properties. However, the research status, particularly regarding the underlying mechanisms, remains fragmented.

Blockage of PD-1 with drugs such as nivolumab (Nivo) and pembrolizumab (Pembro) has been successfully implemented in the treatment of Hodgkin lymphoma among other types of tumors. Exorbitant costs hinder access for many patients living in low- and middle-income countries (LMICs). Dose reductions on the basis of pharmacodynamic studies have been used to allow access to these drugs to patients with no further options because of economic constraints. In this study, we aimed to systematically review and assess evidence regarding the efficacy and safety of this adapted intervention.