Prognostic factors and nomogram for survival prediction in patients with primary pulmonary lymphoma: a SEER population-based study

Low, Soon Khai; Zayan, Ahmad Helmy; Istanbuly, Obaida; Duc, Nguyen Tran Minh; Ebied, Amr; Tawfik, Gehad Mohamed; Huy, Nguyen Tien

doi:10.1080/10428194.2019.1633636

Cited by 18 publications

(8 citation statements)

References 39 publications

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“…The incidence pattern was bimodal with the first peak in adolescents and young adults aged 15–34 and the second one in the elderly over 65 years old 12 13. But elderly patients tend to have a higher morality than the young,14 15 which is associated with increased comorbidities and reduced tolerance with full chemotherapy treatment. Son et al found that age was in connection with treatments, indicating that factors such as hospice care as well as shared decision-making played a role in treating older patients 16.…”

Section: Discussionmentioning

confidence: 99%

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data

Liang

Zhang

et al. 2022

BMJ Open

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IntroductionThis study developed a prognostic nomogram of Hodgkin lymphoma (HL) for purpose of discussing independent risk factors for HL patients with Surveillance, Epidemiology and End Results (SEER) database.MethodsWe collected data of HL patients from 2010 to 2015 from the SEER database and divided it into two cohorts: the training and the verification cohort. Then the univariate and the multivariate Cox regression analyses were conducted in the training, the verification as well as the total cohort, after which the intersection of variables with statistical significance was taken as independent risk factors to establish the nomogram. The predictive ability of the nomogram was validated by the Concordance Index. Additionally, the calibration curve and receiver operating characteristic curve were implemented to evaluate the accuracy and discrimination. Finally, we obtained 1-year, 3-year and 5-year survival rates of HL patients.Results10 912 patients were eligible for the study. We discovered that Derived American Joint Committee on Cancer (AJCC) Stage Group, lymphoma subtype, radiotherapy and chemotherapy were four independent risk factors affecting the prognosis of HL patients. The 1-year, 3-year and 5-year survival rates for high-risk patients were 85.4%, 79.9% and 76.0%, respectively. It was confirmed that patients with stage I or II had a better prognosis. Radiotherapy and chemotherapy had a positive impact on HL outcomes. However, patients with lymphocyte-depleted HL were of poor prognosis.ConclusionsThe nomogram we constructed could better predict the prognosis of patients with HL. Patients with HL had good long-term outcomes but novel therapies are still in need for fewer complications.

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Section: Discussionmentioning

confidence: 99%

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data

Liang

Zhang

et al. 2022

BMJ Open

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“…PPL could be single or multiple, involving one or both lungs, though it can invade the unilateral lobe ( 24 ). Also, the probability of PPL to be affected on the right side is more common compared to the left side (48.9% vs. 43.3%) ( 25 ).…”

Section: Discussionmentioning

confidence: 99%

Role of 18F-FDG PET/CT in patients affected by pulmonary primary lymphoma

Peng

Luo

et al. 2022

Front. Oncol.

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BackgroundPrimary pulmonary lymphoma (PPL) is defined as clonal abnormal hyperplasia of lung parenchyma or bronchial lymphoid tissue originating from bronchial mucosal tissue. However, PPL is rare, which accounts for approximately 3-4% of extraneurotic lymphomas and 0.5-1% of all primary tumors in the lung. Owing to the lack of any typical clinical symptoms and radiological features, it is challenging to accurately diagnose PPL, which affects its clinical management and prognosis. Considering this, herein, we aim to raise awareness of this disease and help physicians understand the role of 18F-FDG PET/CT in the diagnosis of PPL.MethodA retrospective analysis was performed on the clinical and 18F-FDG PET/CT imaging data of 19 patients diagnosed with PPL by biopsy pathology at our hospital from April 2014 to December 2021.ResultsOf the 19 PPL patients, 15 patients showed clinical symptoms with the most common being fever and cough. In addition, there were 4 cases that had no clinical symptoms, and all of them were MALT lymphoma. In fact, 16 patients were misdiagnosed as lobar pneumonia, lung cancer, tuberculosis, and diffuse interstitial inflammation, representing a misdiagnosis rate of 84.2%. Also, 73.7% were MALT lymphomas, representing the most common pathological pattern, along with 3 DLBCL and 2 T-cell lymphomas. With reguard to CT signs, the air-bronchial sign was found to be the most common, followed by the halo sign and the collapsed leaf sign. On the basis of the predominant radiologic features, lesions were categorized as pneumonic consolidation, nodular/mass type, diffuse interstitial type, and mixed type. The average SUVmax of lesions was 7.23 ± 4.75, the ratio of SUVmax (lesion/liver) was 3.46 ± 2.25, and the ratio of SUVmax (lesion/mediastinal blood pool) was found to be 5.25 ± 3.27. Of interest, the different pathological types of PPL showed different values of 18F-FDG uptake. The 18F-FDG uptake of DLCBL was the most prominent with a SUVmax of 15.33 ± 6.30 and was higher than that of MALT lymphoma with a SUVmax of 5.74 ± 2.65. There appeared similarity in 18F-FDG uptake between MALT lymphoma and T-cell lymphoma. For the SUVmax of lesion, we found statistical significance between MALT lymphoma and DLCBL (P value<0.001). In addition, we also found statistical significance (P value < 0.05) in SUVmax of lesions between pneumonic consolidation type and nodal/mass type, I stage, and other stages.ConclusionsOn 18F-FDG PET/CT images, certain features of PPL morphology and metabolism can be identified that may contribute to a better understanding of this disease. In addition, 18F-FDG PET/CT whole-body imaging has the potential to refine the staging of PPL. Most importantly, functional 18F-FDG PET/CT imaging can readily reflect tumor cell activity, thus allowing for the selection of an optimal biopsy site.

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“…In the current study, we developed and validated two prognostic nomograms, one for predicting overall survival and the other for predicting disease-specific survival of oral and oropharyngeal MEC. Clinicians can conveniently predict the 3-year, 5-year and In recent years, more and more prognostic nomograms have been constructed and utilized for prediction of prognosis and clinical decision-making for different types of carcinomas 5,[8][9][10][11][12] . However, because of the low incidence of mucoepidermoid carcinoma, research focusing on this tumor is very rare.…”

Section: Discussionmentioning

confidence: 99%

“…A nomogram is a visualization tool that has been widely used to predict the prognosis of cancer patients [4][5][6][7] . It is valuable for clinical decision-making and patient counseling.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

Liu

Tong

et al. 2020

Preprint

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Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.

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Prognostic factors and nomogram for survival prediction in patients with primary pulmonary lymphoma: a SEER population-based study

Cited by 18 publications

References 39 publications

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data

Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin’s lymphoma: an observational study using SEER population-based data

Role of 18F-FDG PET/CT in patients affected by pulmonary primary lymphoma

Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

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