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Background: Incidence of childhood Ewing sarcoma, a rare cancer affecting bones and soft tissues, is increasing. Environmental exposures during the perinatal period, like air pollution, may play a role. We examined exposure to perinatal ambient fine particulate matter (PM) and childhood Ewing sarcoma risk in a case-control linkage study nested within a California birth cohort.
Methods: The study included 388 children born in California (1982-2015) and diagnosed with Ewing sarcoma at age 0-19 years (1988-2015), and 19,341 California-born cancer-free controls frequency-matched to cases on birth year (50:1 ratio). Ambient PM concentrations at the maternal residence were averaged separately over two time periods, gestation and the first year after birth, using a validated ensemble-based model (categorized as quartiles). We estimated odds ratios (ORs) and 95% confidence intervals (CIs) for the association between perinatal PM exposure and Ewing sarcoma risk, adjusting for sex, birth year, race, ethnicity, birth weight, and maternal education and stratifying by Hispanic ethnicity to assess potential disparities in PM-related cancer risk.
Results: In the overall population, perinatal ambient PM exposure was not associated with Ewing sarcoma risk when considering exposure during gestation or the year after birth. Among Hispanic children, who experienced greater air pollution exposure compared to non-Hispanic children, higher PM levels during gestation yielded elevated odds of Ewing sarcoma compared to the first quartile (Q2 OR [95% CI] = 1.53 [0.94-2.51]; Q3 = 1.56 [0.95-2.56]; Q4 = 1.39 [0.79-2.47]). Hispanic children also experienced elevated risk in relation to exposure during the year after birth.
Conclusion: Our results provide new suggestive evidence that ambient PM may contribute to Ewing sarcoma risk, although these findings were not statistically significant and were specific to Hispanic children. These findings require replication and underscore the need to further evaluate the potential role of ethnicity in the PM-cancer relationship with genetic ancestry measures and through the lens of environmental justice.
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http://dx.doi.org/10.1186/s12940-025-01159-6 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Medical Oncology, Early Phase Unit, Georges-François Leclerc Centre, Dijon, France.
Background: Sarcomas are rare cancer with a heterogeneous group of tumors. They affect both genders across all age groups and present significant heterogeneity, with more than 70 histological subtypes. Despite tailored treatments, the high metastatic potential of sarcomas remains a major factor in poor patient survival, as metastasis is often the leading cause of death.
View Article and Find Full Text PDFAm J Surg Pathol
September 2025
Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Embryonic-type neuroectodermal tumor (ENT; previously referred to as primitive neuroectodermal tumor, PNET) of the testis and gynecologic tract share morphologic features with small round blue cell tumors, including Ewing sarcoma (ES), yet are biologically, therapeutically, and prognostically distinct. The diagnosis of ENT can be challenging, and it is unclear if there are reliable biomarkers that can be used to confirm this diagnosis. This study characterized 50 ENTs arising from the testis (n=38) and gynecologic tract (n=12; 7 ovary/5 uterus) with 27 biomarkers (AE1/AE3, ATRX, CD99, chromogranin-A, Cyclin D1, Fli-1, GFAP, GLUT-1, IDH1/2, INSM1, MTAP, NANOG, Nestin, neurofilament, NKX2.
View Article and Find Full Text PDFAn integrated approach is proposed to rapidly evaluate the effects of anticancer treatments in 3D models, combining a droplet-based microfluidic platform for spheroid formation and single-spheroid chemotherapy application, label-free morphological analysis, and machine learning to assess treatment response. Morphological features of spheroids, such as size and color intensity, are extracted and selected using the multivariate information-based inductive causation algorithm, and used to train a neural network for spheroid classification into viability classes, derived from metabolic assays performed within the same platform as a benchmark. The model is tested on Ewing sarcoma cell lines and patient-derived xenograft (PDX) cells, demonstrating robust performance across datasets.
View Article and Find Full Text PDFEur J Surg Oncol
August 2025
Royal Orthopaedic Hospital, Birmingham, United Kingdom.
Introduction: Pelvic bone sarcomas are rare, heterogeneous malignancies that present significant diagnostic and therapeutic challenges. Despite advances in imaging, surgical navigation, and multidisciplinary care, it remains unclear whether these innovations have improved outcomes across all histiotypes.
Material And Methods: We conducted a retrospective cohort study of 475 patients surgically treated for primary pelvic bone sarcomas between 2003 and 2022.