Background: Patients with primary high-grade retroperitoneal soft tissue sarcomas have a 5-year disease-specific survival (DSS) of <40%. The impact of neoadjuvant therapy on histopathologic response and DSS are unknown.
Methods: From 1987 to 2007, 55 patients with primary high-grade retroperitoneal sarcoma received neoadjuvant therapy. All patients underwent surgical resection, and response was assessed histopathologically. Patients with >or=95% pathologic necrosis were classified as responders. Clinicopathologic variables were analyzed for association with DSS. Observed DSS was then compared with the Memorial Sloan-Kettering Cancer Center Sarcoma Nomogram predicted DSS.
Results: The median tumor size was 15 cm, and the median follow-up time for survivors was 68 months. The 5-year DSS for all 55 patients was 47% and did not significantly differ from the 37% predicted by the sarcoma nomogram for such patients (P=.44). Fourteen (25%) of the patients had >or=95% pathologic necrosis and were defined as responders; 41 (75%) were nonresponders. The 5-year DSS for responders was 83%. This was significantly better than the 5-year DSS of 34% for nonresponders (P=.002) and the 39% predicted by the sarcoma nomogram for responders (P=.018). The 34% 5-year DSS for nonresponders did not significantly differ from the 35% predicted by the sarcoma nomogram (P=.51).
Conclusions: Neoadjuvant therapy was not associated with an overall improvement in DSS in patients with primary high-grade retroperitoneal sarcoma compared with the sarcoma nomogram prediction. Histopathologic response to neoadjuvant therapy was associated with a significantly improved DSS compared with nonresponders and with the sarcoma nomogram prediction for such patients.
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http://dx.doi.org/10.1002/cncr.25271 | DOI Listing |
Transl Lung Cancer Res
December 2024
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Lung adenocarcinoma (LUAD) is a sub-type of non-small cell lung cancer (NSCLC) that is often associated with genetic alterations, including the Kirsten rat sarcoma viral oncogene homolog () mutation. The mutation is particularly challenging to treat due to resistance to targeted therapies. This study aims to develop a predictive model for the mutation in patients with LUAD by integrating clinical, dual-energy spectral computed tomography (DESCT), and radiomics features.
View Article and Find Full Text PDFHeliyon
January 2025
Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410000, China.
Background: Extraskeletal Ewing's sarcoma (EES) is a rare tumor, and there is currently no predictive model for overall survival of EES patients. This study sought to use data from the Surveillance, Epidemiology, and End Results (SEER) database to develop a clinical predictive model that could be used to assess the prognosis of EES patients.
Methods: We selected and downloaded prognostic data on 356 patients diagnosed with extraskeletal Ewing's sarcoma based on screening criteria, These patients were distributed between 2004 and 2015.
Sci Rep
January 2025
Department of Orthopaedics, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, China.
Osteosarcoma (OS) is a prevalent invasive bone cancer, with numerous homeobox family genes implicated in tumor progression. This study aimed to develop a prognostic model using HOX family genes to assess osteosarcoma patient outcomes. Data from osteosarcoma patients in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts were collected.
View Article and Find Full Text PDFBreast J
January 2025
Department of Pediatric Intensive Care Unit, Hangzhou Children's Hospital, Hangzhou, Zhejiang, China.
Front Oncol
December 2024
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Background: Accurate identification of pathologic grade before operation is helpful for guiding clinical treatment decisions and improving the prognosis for soft tissue sarcoma (STS).
Purpose: To construct and assess a magnetic resonance imaging (MRI)-based radiomics nomogram incorporating intratumoral habitats (subregions of clusters of voxels containing similar features) and peritumoral features for the preoperative prediction of the pathological grade of STS.
Methods: The MRI data of 145 patients with STS (74 low-grade and 71 high-grade) from 4 hospitals were retrospectively collected, including enhanced T1-weighted and fat-suppressed-T2-weighted sequences.
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