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Sébastien Salas

Aix-Marseille Université

ORCID: 0000-0001-6222-5027

Publishes on Sarcoma Diagnosis and Treatment, Soft tissue tumor case studies, Cancer Immunotherapy and Biomarkers. 316 papers and 6.9k citations.

316Publications
6.9kTotal Citations

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Top publicationsby citations

Prognostic Factors Influencing Progression-Free Survival Determined From a Series of Sporadic Desmoid Tumors: A Wait-and-See Policy According to Tumor Presentation
Sébastien Salas, Armelle Dufresne, Binh Bui et al.|Journal of Clinical Oncology|2011
Cited by 372Open Access

PURPOSE: Desmoid tumors are mesenchymal fibroblastic/myofibroblastic proliferations with locoregional aggressiveness and high ability to recur after initial treatment. We present the results of the largest series of sporadic desmoid tumors ever published to determine the prognostic factors of these rare tumors. PATIENTS AND METHODS: Four hundred twenty-six patients with a desmoid tumor at diagnosis were included, and the following parameters were studied: age, sex, delay between first symptoms and diagnosis, tumor size, tumor site, previous history of surgery or trauma in the area of the primary tumor, surgical margins, and context of abdominal wall desmoids in women of child-bearing age during or shortly after pregnancy. We performed univariate and multivariate analysis for progression-free survival (PFS). RESULTS: In univariate analysis, age, tumor size, tumor site, and surgical margins (R2 v R0/R1) had a significant impact on PFS. PFS curves were not significantly different for microscopic assessment of surgical resection quality (R0 v R1). In multivariate analysis, age, tumor size, and tumor site had independent values. Three prognostic groups for PFS were defined on the basis of the number of independent unfavorable prognostic factors (0 or 1, 2, and 3). CONCLUSION: This study clearly demonstrates that there are different prognostic subgroups of desmoid tumors that could benefit from different therapeutic strategies, including a wait-and-see policy.

A Prognostic Nomogram for Prediction of Recurrence in Desmoid Fibromatosis
Aimeé M. Crago, Brian T. Denton, Sébastien Salas et al.|Annals of Surgery|2013
Cited by 275Open Access

OBJECTIVE: To construct a postoperative nomogram to estimate the risk of local recurrence for patients with desmoid tumors. BACKGROUND: The standard management of desmoid tumors is resection, but many recur locally. Other options include observation or novel chemotherapeutics, but little guidance exists on selecting treatment. METHODS: Patients undergoing resection during 1982-2011 for primary or locally recurrent desmoids were identified from a single-institution prospective database. Cox regression analysis was used to assess risk factors and to create a recurrence nomogram, which was validated using an international, multi-institutional data set. RESULTS: Desmoids were treated surgically in 495 patients (median follow-up of 60 months). Of 439 patients undergoing complete gross resection, 100 (23%) had recurrence. Five-year local recurrence-free survival was 69%. Eight patients died of disease, all after R2 resection. Adjuvant radiation was not associated with improved local recurrence-free survival. In multivariate analysis, factors associated with recurrence were extremity location, young age, and large tumor size, but not margin. Abdominal wall tumors had the best outcome (5-year local recurrence-free survival rate of 91%). Age, site, and size were used to construct a nomogram with concordance index of 0.703 in internal validation and 0.659 in external validation. Integration of additional variables (R1 margin, sex, depth, and primary vs recurrent presentation) did not importantly improve concordance (internal concordance index of 0.707). CONCLUSIONS: A postoperative nomogram including only size, site, and age predicts local recurrence and can aid in counseling patients. Systemic therapies may be appropriate for young patients with large, extremity desmoids, but surgery alone is curative for most abdominal wall lesions.