Abstract:BACKGROUND: Sarcomas are rare, heterogeneous, ubiquitously localized malignancies with many histologic subtypes and genomic patterns. The survival of patients with sarcoma has rarely been described based on this heterogeneity; therefore, the authors' objective was to estimate survival outcomes in patients who had sarcomas using the 2020 version of the World Health Organization classification of soft tissue and bone tumors. METHODS: Patients older than 15 years who had incident sarcoma diagnosed between 2005 an… Show more
“…This linkage provides unique insights into the physical and psychosocial issues sarcoma survivor experience, and this input can be used to create more personalized rehabilitation services in sarcoma survivors as this presents a heterogeneous group in which a one-follow-upstrategy-fits-all would prove to be insufficient. 2,6,59,[63][64][65][66][67] This linkage facilitated the comparison of not only patient and tumor characteristics but also attributes between individuals who responded to the questionnaires and those who did not. The knowledge gained, namely, that nonresponders were somewhat younger and had a lower socioeconomic status than responders, could be used to improve response rates in these patient groups in future sarcoma research.…”
There has been growing interest in the use of real-world data (RWD) to address clinically and policy-relevant (research) questions that cannot be answered with data from randomized controlled trials (RCTs) alone. This is, for example, the case in rare malignancies such as sarcomas as limited patient numbers pose challenges in conducting RCTs within feasible timeliness, a manageable number of collaborators, and statistical power. This narrative review explores the potential of RWD to generate real-world evidence (RWE) in sarcoma research, elucidating its application across different phases of the patient journey, from prediagnosis to the follow-up/survivorship phase. For instance, examining electronic health records (EHRs) from general practitioners (GPs) enables the exploration of consultation frequency and presenting symptoms in primary care before a sarcoma diagnosis. In addition, alternative study designs that integrate RWD with well-designed observational RCTs may offer relevant information on the effectiveness of clinical treatments. As, especially in cases of ultrarare sarcomas, it can be an extreme challenge to perform well-powered randomized prospective studies. Therefore, it is crucial to support the adaptation of novel study designs. Regarding the follow-up/survivorship phase, examining EHR from primary and secondary care can provide valuable insights into identifying the short- and long-term effects of treatment over an extended follow-up period. The utilization of RWD also comes with several challenges, including issues related to data quality and privacy, as described in this study. Notwithstanding these challenges, this study underscores the potential of RWD to bridge, at least partially, gaps between evidence and practice and holds promise in contributing to the improvement of sarcoma care.
“…This linkage provides unique insights into the physical and psychosocial issues sarcoma survivor experience, and this input can be used to create more personalized rehabilitation services in sarcoma survivors as this presents a heterogeneous group in which a one-follow-upstrategy-fits-all would prove to be insufficient. 2,6,59,[63][64][65][66][67] This linkage facilitated the comparison of not only patient and tumor characteristics but also attributes between individuals who responded to the questionnaires and those who did not. The knowledge gained, namely, that nonresponders were somewhat younger and had a lower socioeconomic status than responders, could be used to improve response rates in these patient groups in future sarcoma research.…”
There has been growing interest in the use of real-world data (RWD) to address clinically and policy-relevant (research) questions that cannot be answered with data from randomized controlled trials (RCTs) alone. This is, for example, the case in rare malignancies such as sarcomas as limited patient numbers pose challenges in conducting RCTs within feasible timeliness, a manageable number of collaborators, and statistical power. This narrative review explores the potential of RWD to generate real-world evidence (RWE) in sarcoma research, elucidating its application across different phases of the patient journey, from prediagnosis to the follow-up/survivorship phase. For instance, examining electronic health records (EHRs) from general practitioners (GPs) enables the exploration of consultation frequency and presenting symptoms in primary care before a sarcoma diagnosis. In addition, alternative study designs that integrate RWD with well-designed observational RCTs may offer relevant information on the effectiveness of clinical treatments. As, especially in cases of ultrarare sarcomas, it can be an extreme challenge to perform well-powered randomized prospective studies. Therefore, it is crucial to support the adaptation of novel study designs. Regarding the follow-up/survivorship phase, examining EHR from primary and secondary care can provide valuable insights into identifying the short- and long-term effects of treatment over an extended follow-up period. The utilization of RWD also comes with several challenges, including issues related to data quality and privacy, as described in this study. Notwithstanding these challenges, this study underscores the potential of RWD to bridge, at least partially, gaps between evidence and practice and holds promise in contributing to the improvement of sarcoma care.
“…Rhabdomyosarcoma (RMS) is the most common soft tissue pediatric malignancy, accounting in France for about 4% and 1% of all cancers in children and in adolescents, respectively 1,2 . Considering the latest French reports, the 5‐year overall survivals (OS) of patients with RMS were worse in adults and in adolescents than in children (26% [18–36], 58.8% [32.5–77.8], and 72.9% [69.9–75.6], respectively) 1,3,4 . But, according to the most recent World Health Organization (WHO) classification scheme, RMS are subdivided into four subtypes, each with differing histological, genetic, clinical, and survival features: embryonal, alveolar (ARMS), spindle cell/sclerosing, and pleomorphic RMS 5 …”
Section: Introductionmentioning
confidence: 99%
“…1,2 Considering the latest French reports, the 5-year overall survivals (OS) of patients with RMS were worse in adults and in adolescents than in children (26% [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36], 58.8% [32.5-77.8], and 72.9% [69.9-75.6], respectively). 1,3,4 But, according to the most recent World Health Organization (WHO) classification scheme, RMS are subdivided into four subtypes, each with differing histological, genetic, clinical, and survival features: embryonal, alveolar (ARMS), spindle cell/sclerosing, and pleomorphic RMS. 5 ARMS, representing 25% of all RMS, preferentially affects adolescents and is notoriously aggressive.…”
Background
Alveolar rhabdomyosarcoma (ARMS) is an aggressive pediatric cancer and cases with fusion PAX3–FOXO1 and PAX7–FOXO1 seem to have a poor prognosis. The aim is to evaluate whether PAX–FOXO1 alterations influence clinical outcome in childhood and adolescence population with ARMS.
Procedure
A population‐based study was conducted between 2011 and 2016 in patients less than 17 years with a diagnosis of ARMS. Overall survival (OS) depending on fusion status with clinical factors was analyzed.
Results
Out of 111 ARMS patients recorded in the French National Childhood Cancer Registry during the 2011–2016 period, 61% expressed PAX3–FOXO1, 15% expressed PAX7–FOXO1, 13% were FOXO1 fusion‐positive without PAX specification, and 7% were PAX–FOXO1 negative (n = 4 missing data). Compared to patients with PAX7–FOXO1 positive ARMS, those with PAX3–FOXO1 positive tumor were significantly older (10–17 years: 57.4% vs. 29.4%), and had more often a metastatic disease (54.4% vs. 23.5%). Poorer 5‐year OS for patients with PAX3–FOXO1 and PAX not specified FOXO1‐positive tumor were observed (44.0% [32.0–55.4] and 35.7% [13.1–59.4], respectively). After adjustment for stage at diagnosis, patients with positive tumor for PAX3–FOXO1 were 3.6‐fold more likely to die than those with positive tumor for PAX7–FOXO1.
Conclusion
At the population level, PAX3–FOXO1 was associated with a significant higher risk of death compared to PAX7–FOXO1‐positive and PAX–FOXO1‐negative tumors, and could explain poorer 5‐year OS observed in adolescence population diagnosed with ARMS. A continuous risk score derived from the combination of clinical parameters with PAX3–FOXO1 fusion status represents a robust approach to improving current risk‐adapted therapy for ARMS.
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