Evidence map›Paper›PMID 41917845›Full record

ArticleBMC cancer2026

Clinicopathological features and departmental distribution of sarcoma patients: a single-center retrospective study.

Mei Kang, Liyang Zhu, Li Niu, Li Zhang, Yichun Wang, Jun Jiang

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Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mei KangDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China.
Liyang ZhuDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China.
Li NiuDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China.
Li ZhangDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China.
Yichun WangDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China.
Jun JiangDepartment of Radiation Oncology, the First Affiliated Hospital of Anhui Medical University, No. 218, Jixi Road, Hefei, Anhui, 230022, People's Republic of China. yfy1381377@fy.ahmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcomas are heterogeneous malignancies with high misdiagnosis and referral challenges. Limited real-world data on sarcoma subtype distribution, age-specific patterns, and departmental referral characteristics in Chinese populations hinders the optimization of clinical management strategies. This study aimed to analyze the clinicopathological features and departmental distribution of 295 sarcoma patients, subtype patterns, to optimize diagnostic and referral strategies.

methodsThis retrospective study enrolled 295 inpatients with pathologically confirmed sarcomas who underwent surgical resection at the First Affiliated Hospital of Anhui Medical University between September 2020 and November 2023. Demographic, clinical, and pathological data were extracted from electronic medical records and pathology databases. Statistical analyses were performed using IBM SPSS 20.0 and R 4.5.2, with Pearson’s chi-square test for categorical associations and one-way analysis of variance for age differences across subtypes.

resultsThe cohort had a median age of 56 years, with middle-aged and older adults (41-80 years) accounting for 75.9% of cases, and a male-to-female ratio of 1.27:1. Patients were admitted across 17 departments, with Orthopedic Oncology (41.0%), Urology (12.9%), and Plastic Surgery (10.8%) as the top three. Extremities (35.6%) were the most common tumor location. The top five pathological subtypes were unspecified sarcoma (24.7%), liposarcoma (16.9%), chondrosarcoma (15.3%), osteosarcoma (10.5%), and dermatofibrosarcoma protuberans (DFSP, 6.8%). Significant associations were identified between pathological subtypes and age (χ²=144.5, P<0.001), admitting department (χ²=370.6, P<0.001), tumor location (χ²=412.4, P<0.001), and gender (χ²=22.2, P=0.014). immunohistochemical findings included CD34 positivity in 82.4% of DFSP cases and S-100 positivity in 76.7% of liposarcoma cases.

conclusionsSarcoma subtypes show distinct clinical factor-specific patterns, informing optimized referrals and treatment.Tailored pathways and standardized pathological assessment can enhance diagnostic efficiency and treatment outcomes for Chinese sarcoma patients.

Indexed as

SarcomaAdolescentAdultAgedAged, 80 and overChildChinaDermatofibrosarcomaFemaleHumansLiposarcomaMaleMiddle AgedRetrospective StudiesClinical characteristicsDepartmental distributionPathological subtypeSarcoma

Identifiers

PMID41917845
PMCPMC13169744

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