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Background The prognosis of patients with Relapsed/Refractory Osteosarcoma (R/R OS) remains dismal without an agreement on systemic therapy. The use of High-Dose Ifosfamide (14 g/sqm) with an external pump in outpatient setting (14-IFO) in R/R OS patients is limited. This study represents the first retrospective cohort analysis focused on evaluating the activity and toxicity of 14-IFO in this setting. Patients and methods The study investigated 14-IFO activity, in terms of tumour response according to RECIST 1.1 criteria, as well as survival rates and toxicity, according to CTCAE v.5. Results The trial enrolled 26 patients with R/R OS. The Overall Response Rate (ORR) and Disease Control Rate (DCR) obtained was 23% and 57.5%, respectively. Patients with relapsed OS showed a higher ORR (45%) and DCR (82%) compared to refractory patients, irrespective of the number of prior treatment lines received. The achievement of disease control with 14-IFO administration enabled 27% of patients to undergo new local treatment. Four-month Progression-Free Survival (PFS) was 54% for all patients and 82% for the relapsed OS sub-group. Median Overall Survival (OSurv) was 13.7 months, with 1-year OSurv of 51% for all patients and 71% for relapsed patients. Age over 18 years and the presence of refractory disease were identified as negative prognostic factors for this patient cohort. A total of 101 cycles were evaluated for toxic assessment, demonstrating a tolerable profile without grade 3–4 non-haematological toxicities. Conclusions 14-IFO should be considered a viable treatment option for R/R OS, particularly due to its well tolerated toxicity profile and the potential for home-administration, which can improve patient quality of life without compromising efficacy.

Introduction Pretreatment prognostic factors in newly diagnosed osteosarcoma are important for clinical management and stratifying patients in clinical trials. Such factors include the presence of metastases, primary tumor size, and site. Factors surrounded by controversy include pathological fracture, histologic subtype, and P‐glycoprotein expression. No prognostic tumor biomarker has been established. We performed a systematic review with the aim to compile available evidence for pretreatment prognostic factors and define optimal cut‐off values for patient stratification or further validation in the upcoming European FOSTER‐CabOS trial. Methods Predefined search terms were used to search PubMed, Web‐of‐science, and Embase for all studies investigating pretreatment prognostic factors in newly diagnosed osteosarcoma patients published 2000–2023. After applying strict inclusion and exclusion criteria, 49 papers were included. Results We found 14 factors investigated in at least two separate studies or in a single study using one discovery and at least one validation cohort. Conclusions We confirmed the prognostic value of patient age, presence of metastasis, tumor size, and site (axial vs. appendicular). Future studies of these factors should focus on specific patient populations and defining optimal cut‐off values. Although serum level of alkaline phosphatase and lactate dehydrogenase were associated with outcome, it remains unclear if they are independent of other prognostic factors. The prognostic value remains unclear for sex, pathological fracture, histologic subtype, and P‐glycoprotein expression. We could not establish any new prognostic biomarker. However, circulating tumor DNA in plasma and the G1/G2 RNA signature in diagnostic tumor biopsies show promise and will be further validated in the upcoming FOSTER‐CabOS trial.

Osteosarcoma (OSA) is the most common pediatric malignant bone tumor. Although surgery together with neoadjuvant/adjuvant chemotherapy has improved survival for localized OSA, most patients develop recurrent/metastatic disease with a dismally poor outcome. Therapeutic options have not improved for these OSA patients in recent decades. As OSA is a rare and “orphan” tumor, with no distinct targetable driver antigens, the development of new efficient therapies is still an unmet and challenging clinical need. Appropriate animal models are therefore critical for advancement in the field. Despite the undoubted relevance of pre-clinical mouse models in cancer research, they present some intrinsic limitations that may be responsible for the low translational success of novel therapies from the pre-clinical setting to the clinic. From this context emerges the concept of comparative oncology, which has spurred the study of pet dogs as a uniquely valuable model of spontaneous OSA that develops in an immune-competent system with high biological and clinical similarities to corresponding human tumors, including in its metastatic behavior and resistance to conventional therapies. For these reasons, the translational power of studies conducted on OSA-bearing dogs has seen increasing recognition. The most recent and relevant veterinary investigations of novel combinatorial approaches, with a focus on immune-based strategies, that can most likely benefit both canine and human OSA patients have been summarized in this commentary.

Next generation sequencing methods are widely adopted for a large amount of scientific purposes, from pure research to health-related studies. The decreasing costs per analysis led to big amounts of generated data and to the subsequent improvement of software for the respective analyses. As a consequence, many approaches have been developed to chain different software in order to obtain reliable and reproducible workflows. However, the large range of applications for NGS approaches entails the challenge to manage many different workflows without losing reliability. We here present a high-throughput sequencing pipeline (HaTSPiL), a Python-powered CLI tool designed to handle different approaches for data analysis with a high level of reliability. The software relies on the barcoding of filenames using a human readable naming convention that contains any information regarding the sample needed by the software to automatically choose different workflows and parameters. HaTSPiL is highly modular and customisable, allowing the users to extend its features for any specific need. HaTSPiL is licensed as Free Software under the MIT license and it is available at https://github.com/dodomorandi/hatspil.

Current multimodal therapeutic approaches have improved the prognosis of patients with Ewing sarcoma and osteosarcoma, with a 5-year overall survival rate of around 60–70%.1–3 Nevertheless, patients with recurrent or refractory disease have a poor prognosis, with a 5-year overall survival rate of less than 30%.1,3 A consensus regarding the standard management of patients with recurrent or refractory disease has yet to be obtained and new drugs are needed. The discovery that Ewing sarcoma and osteosarcoma cells overexpress therapeutically targetable tyrosine kinase receptors or their ligands, and the simultaneous development of new drugs, have allowed for the clinical development of several tyrosine kinase inhibitors (TKIs). For patients with osteosarcoma progression-free survival was 71% (55–83) at 4 months and 52% (36–66) at 6 months, and median progression-free survival was 6·7 months (5·4–7·9).4 Cabozantinib is a novel multitarget TKI (targets include c-MET, VEGFR-2, Ret, Kit, FLT-1, FLT-3, FLT-4, TIE-2, and AXL) that has shown clinical activity in targeting several types of tumour.5 In the CABONE study, cabozantinib showed antitumour activity in advanced Ewing sarcoma and osteosarcoma, with a manageable safety profile.4 Cabozantinib is the only VEGFR2 TKI that also has specific MET-receptor inhibitory activity.4 Several studies have reported that MET receptors have a role in inducing Ewing sarcoma and osteosarcoma tumorigenesis,6–8 with a simultaneous and substantial effect on the bone microenvironment.5 The bone microenvironment is known to communicate and interact with tumour cells, playing a key role in growth and cancer dissemination.

PurposeTo clarify the role of primary tumor resection in stage 4S neuroblastoma.MethodsWe investigated a cohort of 172 infants diagnosed with stage 4S neuroblastoma between 1994 and 2013. Of 160 evaluable patients, 62 underwent upfront resection of the primary tumor and 98 did not.ResultsFive-year progression-free and overall survival were significantly better in those who had undergone upfront surgery (83.6% vs 64.2% and 96.8% vs 85.7%, respectively). One post-operative death and four non-fatal complications occurred in the resection group. Three patients who had not undergone resection died of chemotherapy-related toxicity. Thirteen patients underwent late surgery to remove a residual tumor, without complications: all but one alive. Outcomes were better in patients diagnosed from 2000 onwards.ConclusionInfants diagnosed with stage 4S neuroblastoma who underwent upfront tumor resection had a better outcome. However, this result cannot be definitely attributed to surgery, since these patients were selected on the basis of their favorable presenting features. Although the question of whether to operate or not at disease onset is still unsolved, this study confirms the importance of obtaining enough adequate tumor tissue to enable histological and biological studies to properly address treatment, to achieve the best possible outcome.

Osteosarcoma (OS) is a rare bone malignant tumour with a poor prognosis in the case of recurrence. So far, there is no agreement on the best systemic therapy for relapsed OS. The availability of next generation sequencing techniques has recently revolutionized clinical research. The sequencing of the tumour and its matched normal counterpart has the potential to reveal a wide landscape of genetic alterations with significant implications for clinical practice. The knowledge that the genomic profile of a patient’s tumour can be precisely mapped and matched to a targeted therapy in real time has improved the development of precision medicine trials (PMTs). PMTs aiming at determining the effectiveness of targeted therapies could be advantageous for patients with a tumour refractory to standard therapies. Development of PMTs for relapsed OS is largely encouraging and is in its initial phase. Assessing OS features, such as its rarity, its age distribution, the technical issues related to the bone tissue origin, and its complex genomic landscape, represents a real challenge for PMTs development. In this light, a multidisciplinary approach is required to fully exploit the potential of precision medicine for OS patients.

Background Infants diagnosed with stage 4 s neuroblastoma commonly experience spontaneous disease regression, with few succumbing without response to therapy. We analyzed a large cohort of such infants enrolled in the Italian Neuroblastoma Registry to detect changes over time in presenting features, treatment and outcome. Methods Of 3355 subjects aged 0–18 years with previously untreated neuroblastoma diagnosed between 1979 and 2013, a total of 280 infants (8.3%) had stage 4 s characteristics, 268 of whom were eligible for analyses. Three treatment eras were identified on the basis of based diagnostic and chemotherapy adopted. Group 1 patients received upfront chemotherapy; Group 2 and 3 patients underwent observation in the absence of life-threatening symptoms (LTS), except for Group 3 patients with amplified MYCN gene, who received more aggressive therapy. Results The three groups were comparable, with few exceptions. Ten-year overall survival significantly increased from 76.9 to 89.7% and was worse for male gender, age 0–29 days and presence of selected LTS on diagnosis, elevated LDH, and abnormal biologic features. Infants who underwent primary resection ± chemotherapy did significantly better. On multivariate analysis, treatment eras and the association of hepatomegaly to dyspnea were independently associated with worse outcome. Conclusions Our data confirm that stage 4 s neuroblastoma is curable in nearly 90% of cases. Hepatomegaly associated to dyspnea was the most important independent risk factor. The cure rate could be further increased through timely identification of patients at risk who might benefit from surgical techniques, such as intra-arterial chemoembolization and/or liver transplantation, which must be carried out in institutions with specific expertise.

Artificial intelligence, or the discipline of developing computational algorithms able to perform tasks that requires human intelligence, offers the opportunity to improve our idea and delivery of precision medicine. Here, we provide an overview of artificial intelligence approaches for the analysis of large-scale RNA-sequencing datasets in cancer. We present the major solutions to disentangle inter- and intra-tumor heterogeneity of transcriptome profiles for an effective improvement of patient management. We outline the contributions of learning algorithms to the needs of cancer genomics, from identifying rare cancer subtypes to personalizing therapeutic treatments.

Beckwith–Wiedemann Syndrome (BWS) is a pediatric overgrowth disorder involving a predisposition to embryonal tumors. Most of the tumors associated with BWS occur in the first 8–10 years of life, and the most common is Wilms tumor (WT). BWS clinical heterogeneity includes subtle overgrowth features or even silent phenotypes, and WT may be the presenting symptom of BWS. WT in BWS individuals exhibit distinct characteristics from those of sporadic WT, and the management of these patients needs a peculiar approach. The most important feature is a higher risk of developing bilateral disease at some time in the course of the illness (synchronous bilateral disease at diagnosis or metachronous recurrence after initial presentation with unilateral disease). Accordingly, neoadjuvant chemotherapy is the recommended approach also for BWS patients with unilateral WT to facilitate nephron-sparing surgical approaches. This review emphasizes the importance of early BWS recognition, particularly if a WT has already occurred, as this will result in an urgent consideration of first-line cancer therapy.