Predictive Indicators of Survival in Patients With Surgically Resected Lung Carcinoid Tumors at a Greek Medical Center

Georgakopoulou, Vasiliki; Zygouris, Eleftherios; Nikokiris, Christos; Damaskos, Christos; Pierrakou, Aikaterini; Garmpis, Nikolaos; Garmpi, Anna; Sklapani, Pagona; Aravantinou, Aikaterini; Τράκας, Νικόλαος; Janinis, Jim; Dahabreh, Jubrail

doi:10.7759/cureus.10300

Cited by 8 publications

(10 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Shorter OS and CSS were more common in patients with N2 or N3 stage, which indicated that lymph node involvement was significantly associated with prognosis. This is consistent with the results of many previous studies (13,15,20,32,33). In addition, we also found that the proportion of AC patients with stage N2+N3 was significantly higher than that of TC patients (P<0.05).…”

Section: Discussionsupporting

confidence: 93%

“…Aging had a negative impact on the prognosis of patients, especially in patients older than 70 years. This result was consistent with the findings of other studies in which older age led to lower survival rates in cancer (15,20). The reason may be that with age, patients may develop more comorbidities and become less tolerant to treatments such as surgery (21).…”

Section: Discussionsupporting

confidence: 92%

See 1 more Smart Citation

Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection

Qiao¹,

Chen²,

Chen³

et al. 2021

Ann Transl Med

View full text Add to dashboard Cite

Background: We analyzed bronchopulmonary carcinoid tumor (BPC) patients receiving resection from the Surveillance, Epidemiology, and End Results (SEER) database to identify the predictive factors of their survival. Then, we developed and validated nomograms to predict overall survival (OS) and cancer-specific survival (CSS) in BPC patients.Methods: BPC patients registered in the SEER database were included. They were divided into a training set and an internal validation set (7:3). BPC patients from our center were included as an external validation set. Independent prognostic factors identified by a Cox regression model in the training set were used to construct nomograms to predict survival. Discrimination and calibration plots were used to evaluate the predictive accuracy of the nomograms. The nomograms were evaluated in both the internal and the external validation datasets.Results: Age, pathological type, and N stage were identified as independent prognostic factors of OS and CSS by Cox analyses (all P<0.05). Tumor size ≥2.5 cm (P=0.045) was an independent factor for unfavorable CSS. Based on these variables, nomograms were constructed. All concordance indexes of the training set, internal validation set, and external validation set indicated that the nomograms had the preferable discriminatory ability. The calibration plots for predictions of the 1-, 3-, and 5-year OS and CSS were in excellent agreement.Conclusions: Age, pathological type, N stage, and tumor size were independent predictive factors of prognosis in BPC patients receiving resection. These nomograms could serve as effective and accurate tools for the prognostic evaluation of patients with BPCs.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 92%

Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection

Qiao¹,

Chen²,

Chen³

et al. 2021

Ann Transl Med

View full text Add to dashboard Cite

show abstract

“…In this analysis female patients presented better prognosis than male (HR = 0.604, 95% CI = 0.45–0.806). On the other hand, in the Cox regression univariate analysis of 108 Lu-NET patients, sex was not associated with patient survival [ 48 ]. Recent analyses [ 49 ] have reported clinically relevant differences between male and female in NET originating from other primary sites (i.e., pancreatic NET).…”

Section: Discussionmentioning

confidence: 99%

Prognostic significance of laterality in lung neuroendocrine tumors

Salvia

Persano

Siciliani³

et al. 2022

Endocrine

View full text Add to dashboard Cite

Purpose: Well-differentiated lung neuroendocrine tumors (Lu-NET) are classified as typical (TC) and atypical (AC) carcinoids, based on mitotic counts and necrosis. However, prognostic factors, other than tumor node metastasis (TNM) stage and the histopathological diagnosis, are still lacking. The current study is aimed to identify potential prognostic factors to better stratify lung NET, thus, improving patients’ treatment strategy and follow-up. Methods: A multicentric retrospective study, including 300 Lung NET, all surgically removed, from Italian and Spanish Institutions. Results: Median age 61 years (13–86), 37.7% were males, 25.0% were AC, 42.0% were located in the lung left parenchyma, 80.3% presented a TNM stage I-II. Mitotic count was ≥2 per 10 high-power field (HPF) in 24.7%, necrosis in 13.0%. Median overall survival (OS) was 46.1 months (0.6–323), median progression-free survival (PFS) was 36.0 months (0.3–323). Female sex correlated with a more indolent disease (T1; N0; lower Ki67; lower mitotic count and the absence of necrosis). Left-sided primary tumors were associated with higher mitotic count and necrosis. At Cox-multivariate regression model, age, left-sided tumors, nodal (N) positive status and the diagnosis of AC resulted independent negative prognostic factors for PFS and OS. Conclusions: This study highlights that laterality is an independent prognostic factors in Lu-NETs, with left tumors being less frequent but showing a worse prognosis than right ones. A wider spectrum of clinical and pathological prognostic factors, including TNM stage, age and laterality is suggested. These parameters could help clinicians to personalize the management of Lu-NET.

show abstract

“…In our cohort, the mean age was 54.1 years, which also agrees with data previously reported. Petursdottir et al and Georgakopoulou et al reported that patients with AC tumors were older than patients with TC tumors, whereas Li et al and Thakur et al reported that there were no significant differences between patients with either tissue type [ 2 , 5 , 12 , 13 ]. The latter observations are consistent with the results in our study.…”

Section: Discussionmentioning

confidence: 99%

Clinicopathological, Oncogenic, and 18F-FDG PET/CT Features of Primary Pulmonary Carcinoid in Resection Specimens

Chen

Dong

Shi

et al. 2022

Contrast Media & Molecular Imaging

View full text Add to dashboard Cite

Objectives. The metabolic parameters which included mean standardised uptake value (SUVmean), metabolic tumour volume (MTV), total lesion glycolysis (TLG), maximum standardised uptake lean body mass (SULmax), and maximum standardised uptake body surface area (SUVbsa) have rarely been investigated in pulmonary carcinoid (PC). This study aimed to retrospectively compare the 18F-FDG PET/CT features of PC subtypes and observe clinicopathological and oncogenic characteristics of PC. Methods. We performed a retrospective review in 60 patients with PC, from January 2016 to November 2021, who underwent the 18F-FDG PET/CT scan. All the PC diagnoses were histopathologic confirmed by surgical samples. The metabolic and morphological features were obtained from 18F-FDG PET/CT images. The ratio of metabolic to morphological lesion volumes (MMVR) was calculated. Results. Sixty patients with PC were consecutively identified, including 39 patients (65.0%) with typical carcinoids (TCs) and 21 (35.0%) with atypical carcinoids (ACs). One (1/21) patient had mutation in BRAF. The ACs have a larger size ( P < 0.001), more metastatic lymph nodes ( P = 0.011), higher Ki-67 expression ( P < 0.001), higher SUVmax values ( P = 0.003), higher SUVmean values ( P = 0.006), higher SULmax values ( P = 0.005), higher SUVbsa values ( P = 0.001), higher MTV values ( P = 0.033), and higher TLG values ( P = 0.002). The multivariate analysis showed that MMVR ( P = 0.020) was significantly associated with AC. For predicting AC, the optimal cut-off value of SUVmax, SUVmean, SULmax, SUVbsa, MTV, TLG, and the maximum diameter was 5.19, 3.18, 2.65, 1.47, 4.36, 18.44, and 3.0, respectively. The AUC values of above mentioned parameters was 0.756 (95%CI, 0.631–881; P = 0.001), 0.735 (95%CI, 0.602–868; P = 0.003), 0.736 (95%CI, 0.607–865; P = 0.003), 0.742 (95%CI, 0.612–873; P = 0.002), 0.593 (95%CI, 0.430–755; P = 0.239), 0.680 (95%CI, 0.531–829; P = 0.022), and 0.733 (95%CI, 0.598–868; P = 0.003), respectively. For predicting TC, the optimal cut-off value of the MMVR was 0.92, and the AUC value was 0.780 (95%CI, 0.647–0.913; P < 0.001). Conclusion. 18F-FDG PET/CT can simultaneously reveal the metabolic and morphological characteristics of PC, which is important in the differentiation for histopathologic subtypes.

show abstract

Predictive Indicators of Survival in Patients With Surgically Resected Lung Carcinoid Tumors at a Greek Medical Center

Abstract: Open Access Original Article

Cited by 8 publications

References 20 publications

Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection

Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection

Prognostic significance of laterality in lung neuroendocrine tumors

Clinicopathological, Oncogenic, and 18F-FDG PET/CT Features of Primary Pulmonary Carcinoid in Resection Specimens

Contact Info

Product

Resources

About