Extrapulmonary Small Cell Carcinoma Presenting as an Orbital Mass: A Case Report

Meinhardt, Anna-Lena; Uppuluri, Aditya; Shkolnik, Elina; Chang, Victor

doi:10.7759/cureus.26012

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Extrapulmonary SCC is a rare malignancy that constitutes approximately 2.5–5% of all cases of SCC, with the gastrointestinal and genitourinary tracts being the most common locations [ 6 ]. More infrequently, breast [ 7 ], head and neck [ 8 , 9 , 10 ], uterine cervix [ 11 ], ovary [ 12 ], prostate [ 13 ], kidney [ 14 ] and a wide variety of other anatomical locations of SCC cases have been reported. Specifically, the gastrointestinal variant shares several features with its pulmonary counterpart, suggesting a common biological origin.…”

Section: Introductionmentioning

confidence: 99%

Localized Colonic Small-Cell Carcinoma with Pathological Complete Response after Neoadjuvant Cisplatin and Etoposide: A Case Report

Alía Navarro,

Martínez Delfrade,

De Frutos González

et al. 2023

Current Oncology

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Extrapulmonary small-cell carcinoma (SCC) is a rare neoplasm that shares certain features with its pulmonary counterpart and occurs predominantly in the gastrointestinal tract (GIT). It is a high-grade and poorly differentiated neuroendocrine tumor, usually diagnosed in advanced stages, with a poor prognosis and few therapeutic options in that setting. This is a case report of a 77-year-old Spanish male patient with localized SCC of the colon, who presented a pathological complete response in the surgical specimen after neoadjuvant chemotherapy with cisplatin and etoposide. To date, 5 years after surgery, the patient remains without evidence of tumor recurrence. As clinical guidelines for the management of this entity are lacking, and therefore its management has not been standardized, an attempt to summarize the current evidence in the literature was made.

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Section: Introductionmentioning

confidence: 99%

Localized Colonic Small-Cell Carcinoma with Pathological Complete Response after Neoadjuvant Cisplatin and Etoposide: A Case Report

Alía Navarro,

Martínez Delfrade,

De Frutos González

et al. 2023

Current Oncology

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An online tool for survival prediction of extrapulmonary small cell carcinoma with random forest

Zhang

2023

Front. Oncol.

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PurposeExtrapulmonary small cell carcinoma (EPSCC) is rare, and its knowledge is mainly extrapolated from small cell lung carcinoma. Reliable survival prediction tools are lacking.MethodsA total of 3,921 cases of EPSCC were collected from the Surveillance Epidemiology and End Results (SEER) database, which form the training and internal validation cohorts of the survival prediction model. The endpoint was an overall survival of 0.5–5 years. Internal validation performances of machine learning algorithms were compared, and the best model was selected. External validation (n = 68) was performed to evaluate the generalization ability of the selected model.ResultsAmong machine learning algorithms, the random forest model performs best on internal validation, whose area under the curve (AUC) is 0.736–0.800. The net benefit is higher than the TNM classification in decision curve analysis. The AUC of this model on the external validation cohort is 0.739–0.811. This model was then deployed online as a free, publicly available prediction tool of EPSCC (http://42.192.80.13:4399/).ConclusionThis study provides an excellent online survival prediction tool for EPSCC with machine learning and large-scale data. Age, TNM stages, and surgery (including potential performance status information) are the most critical factors for the prediction model.

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Extrapulmonary Small Cell Carcinoma Presenting as an Orbital Mass: A Case Report

Cited by 2 publications

References 15 publications

Localized Colonic Small-Cell Carcinoma with Pathological Complete Response after Neoadjuvant Cisplatin and Etoposide: A Case Report

Localized Colonic Small-Cell Carcinoma with Pathological Complete Response after Neoadjuvant Cisplatin and Etoposide: A Case Report

An online tool for survival prediction of extrapulmonary small cell carcinoma with random forest

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