Primary signet‐ring cell carcinoma of the lung in an HIV‐positive patient

Testori, Alberto; Perroni, Gianluca; Carlo, Camilla De; Crepaldi, Alessandro; Alloisio, Marco; Cioffi, Ugo

doi:10.1111/1759-7714.13887

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…La presencia de células malignas en anillo de sello se observa con mayor frecuencia en los adenocarcinomas, particularmente en los del tracto gastrointestinal y de mama (1,2). En un estudio con 24.171 pacientes con carcinoma de células en anillo de sello (CCAS), se encontró que solo el 3.1 % de los casos tiene un origen pulmonar primario, lo que restringe el estudio del CCAS de pulmón a informes y series de casos (3).…”

Section: Introductionunclassified

Adenocarcinoma primario de pulmón con células en anillo de sello y reordenamiento de ALK. Reporte de dos casos

Chaves

Carvajal

Parra‐Medina

2022

rev. colomb. neumol.

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El adenocarcinoma primario de pulmón con células en anillo de sello representa una variante rara y muy agresiva de cáncer de pulmón. El carcinoma de células en anillo de sello es un tipo particular de adenocarcinoma secretor de mucina, que se deposita intracitoplasmáticamente y desplaza el núcleo hacia la periferia de la célula. El origen pulmonar de este subtipo tumoral es raro y el hallazgo de reordenamiento de ALK es una asociación común. Presentamos dos casos de adenocarcinomas mucinosos primarios de pulmón con células en anillo de sello y reordenamiento de ALK. Todos los pacientes con cáncer de pulmón deben contar con estudios histopatológicos, inmunohistoquímicos y de biología molecular con los que se puedan obtener las principales características del tumor, que permitan ofrecer la mejor opción terapéutica para el paciente.

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Section: Introductionunclassified

Adenocarcinoma primario de pulmón con células en anillo de sello y reordenamiento de ALK. Reporte de dos casos

Chaves

Carvajal

Parra‐Medina

2022

rev. colomb. neumol.

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A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model

Chen,

Xu,

Lin

et al. 2024

J Cancer Res Clin Oncol

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Purpose Signet ring cell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival nomogram used to predict lung cancer performs poorly for SRCC. Therefore, a novel nomogram specifically for studying SRCC is highly required. Methods Baseline characteristics of lung signet ring cell carcinoma were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression and random forest analysis were performed on the training group data, respectively. Subsequently, we compared results from these two types of analyses. A nomogram model was developed to predict 1-year, 3-year, and 5-year overall survival (OS) for patients, and receiver operating characteristic (ROC) curves and calibration curves were used to assess the prediction accuracy. Decision curve analysis (DCA) was used to assess the clinical applicability of the proposed model. For treatment modalities, Kaplan-Meier curves were adopted to analyze condition-specific effects. Results We obtained 731 patients diagnosed with lung signet ring cell carcinoma (LSRCC) in the SEER database and randomized the patients into a training group (551) and a validation group (220) with a ratio of 7:3. Eight factors including age, primary site, T, N, and M.Stage, surgery, chemotherapy, and radiation were included in the nomogram analysis. Results suggested that treatment methods (like surgery, chemotherapy, and radiation) and T-Stage factors had significant prognostic effects. The results of ROC curves, calibration curves, and DCA in the training and validation groups demonstrated that the nomogram we constructed could precisely predict survival and prognosis in LSRCC patients. Through deep verification, we found the constructed model had a high C-index, indicating that the model had a strong predictive power. Further, we found that all surgical interventions had good effects on OS and cancer-specific survival (CSS). The survival curves showed a relatively favorable prognosis for T0 patients overall, regardless of the treatment modality. Conclusions Our nomogram is demonstrated to be clinically beneficial for the prognosis of LSRCC patients. The surgical intervention was successful regardless of the tumor stage, and the Cox proportional hazard (CPH) model had better performance than the machine learning model in terms of effectiveness.

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Primary Signet-Ring Cell Carcinoma of the Lung: A Case Report: Diagnosis, Treatment and Literature Report

王¹

2022

ACM

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Primary signet‐ring cell carcinoma of the lung in an HIV‐positive patient

Cited by 3 publications

References 14 publications

Adenocarcinoma primario de pulmón con células en anillo de sello y reordenamiento de ALK. Reporte de dos casos

Adenocarcinoma primario de pulmón con células en anillo de sello y reordenamiento de ALK. Reporte de dos casos

A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model

Primary Signet-Ring Cell Carcinoma of the Lung: A Case Report: Diagnosis, Treatment and Literature Report

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