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ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Surgical margins and prognosis of borderline and malignant phyllodes tumors.

Jialin Su, Shanling Liu, Gang Tu, Fangxuan Li, Jie Zhang, Lu Gan

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jialin SuDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Shanling LiuDepartment of Clinical Nutrition, Yunan Cancer Hospital, Yunan, People's Republic of China.
Gang TuDepartment of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Fangxuan LiDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jie ZhangDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Lu GanDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China. ganlu99@sina.com.ORCID http://orcid.org/0000-0003-1360-501X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the optimal surgical margin and prognostic risk factors for borderline and malignant phyllodes tumors (PTs).

methodsA retrospective analysis was conducted on patients with borderline and malignant PTs at our hospital from 2011 to 2022. Univariate and multivariate Cox proportional hazard models were employed to analyze the effects of various variables on local recurrence-free survival (LRFS) and disease-free survival (DFS).

resultsThis study comprised 150 patients, 85 classified as borderline and 65 as malignant. During a median follow-up of 66 months (range: 3-146 months), 34 cases (22.7%) experienced local recurrence, 9 cases (6.0%) exhibited distant metastasis, and 7 cases (4.7%) resulted in death. Irrespective of the histological subtypes, patients with surgical margins ≥ 1 cm exhibit significantly higher 5-year LRFS and 5-year DFS rates compared to those with margins < 1 cm. Among patients with initial margins < 1 cm, LRFS (P = 0.004) and DFS (P = 0.003) were improved in patients reoperated to achieve margins ≥ 1 cm. Surgical margin < 1 cm (HR = 2.567, 95%CI 1.137-5.793, P = 0.023) and age < 45 years (HR = 2.079, 95%CI 1.033-4.184, P = 0.040) were identified as independent risk factors for LRFS. Additionally, surgical margin < 1 cm (HR = 3.074, 95%CI 1.622-5.826, P = 0.001) and tumor size > 5 cm (HR = 2.719, 95%CI 1.307-5.656, P = 0.007) were determined to be independent risk factors for DFS.

conclusionsA negative surgical margin of at least 1 cm (with secondary resection if necessary) should be achieved for borderline and malignant PTs. Tumor size > 5 cm and age < 45 years were predictive of recurrence, suggesting multiple therapy modalities may be considered for these high-risk patients.

Indexed as

Breast NeoplasmsMargins of ExcisionNeoplasm Recurrence, LocalPhyllodes TumorAdolescentAdultAgedDisease-Free SurvivalFemaleFollow-Up StudiesHumansMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsDisease-free survivalLocal recurrence-free survivalPhyllodes tumorsRisk factorsSurgical margin

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.