Lung neuroendocrine tumors (NETs) have few known predictors of survival. We investigated associations of sociodemographic, clinicopathologic, and treatment factors with overall survival (OS) and lung cancer-specific survival (LCSS) for incident lung NET cases (typical or atypical histology) in the California Cancer Registry (CCR) from 1992 to 2019. OS was estimated with the Kaplan-Meier method and compared by sociodemographic and disease factors univariately with the log-rank test. We used sequential Cox proportional hazards regression for multivariable OS analysis. LCSS was estimated using Fine-Gray competing risks regression. There were 6038 lung NET diagnoses (5569 typical, 469 atypical carcinoid); most were women (70%) and non-Hispanic White (73%). In our multivariable model, sociodemographic factors were independently associated with OS, with better survival for women (hazard ratio (HR) 0.62, 95% confidence interval (CI) 0.57-0.68, P < 0.001), married (HR 0.76, 95% CI 0.70-0.84, P < 0.001), and residents of high socioeconomic status (SES) neighborhoods (HRQ5vsQ1 0.73, 95% CI 0.62-0.85, P < 0.001). Compared to cases with private insurance, OS was worse for cases with Medicare (HR 1.24, 95% CI 1.10-1.40, P < 0.001) or Medicaid/other public insurance (HR 1.45, 95% CI 1.24-1.68, P < 0.001). In our univariate model, non-Hispanic Black Californians had worse OS than other racial/ethnic groups, but differences attenuated after adjusting for stage at diagnosis. In our LCSS models, we found similar associations between sex and marital status on survival, but no differences in outcomes by SES or insurance. By race/ethnicity, American Indian cases had worse LCSS. In summary, beyond disease-related and treatment variables, sociodemographic factors were independently associated with survival in lung NETs.

Neuroendocrine neoplasms (NENs) are a group of heterogeneous tumors with neuroendocrine differentiation that can arise from any organ. They account for 2% of all malignancies in the United States. A significant proportion of NEN patients experience endocrine imbalances consequent to increased amine or peptide hormone secretion, impacting their quality of life and prognosis. Over the last decade, pathologic categorization, diagnostic techniques and therapeutic choices for NENs-both well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs)-have appreciably evolved. Diagnosis of NEN mostly follows a suspicion from clinical features or incidental imaging findings. Hormonal or non-hormonal biomarkers (like serum serotonin, urine 5-HIAA, gastrin and VIP) and histology of a suspected NEN is, therefore, critical for both confirmation of the diagnosis and classification as an NET or NEC. Therapy for NENs has progressed recently based on a better molecular understanding, including the involvement of mTOR, VEGF and peptide receptor radionuclide therapy (PRRT), which add to the growing evidence supporting the possibility of treatment beyond complete resection. As the incidence of NENs is on the rise in the United States and several other countries, physicians are more likely to see these cases, and their better understanding may support earlier diagnosis and tailoring treatment to the patient. We have compiled clinically significant evidence for NENs, including relevant changes to clinical practice that have greatly updated our diagnostic and therapeutic approach for NEN patients.

Pulmonary neuroendocrine tumors (PNETs) are a kind of epithelial tumors originating from pulmonary neuroendocrine cells, accounting for about 20% of primary lung tumors, including typical carcinoid, atypical carcinoid, small cell carcinoma, and large cell neuroendocrine carcinoma. The morphologic and clinical characteristics of these four types of PNETs are relatively highly heterogeneous. Immune checkpoint inhibitors (ICIs) have been shown robust antitumor activity in a variety of solid tumors. Treatment regimens of advanced PNETs have developed greatly in the past decade, but ICIs are still in their infancy in the field of PNETs. This review focuses on the landscape of current clinical trials and research as well as the situation of ICIs-related biomarkers in PNETs.
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【中文题目：晚期肺神经内分泌肿瘤免疫检查点抑制剂
治疗进展】 【中文摘要：肺神经内分泌肿瘤（pulmonary neuroendocrine tumors, PNETs）是一种源于肺神经内分泌细胞的上皮性肿瘤，约占原发性肺肿瘤的20%，包括典型类癌、非典型类癌、小细胞癌和大细胞神经内分泌癌。这四类PNETs之间的形态学和临床特征具有较大的异质性。免疫检查点抑制剂（immune checkpoint inhibitors, ICIs）已在多种实体瘤中被证实具有很强的抗肿瘤活性。晚期PNETs治疗方案在过去十年内已有了很大的发展，但ICIs在PNETs领域的应用才刚刚起步。本文主要阐述目前PNETs中ICIs临床试验和研究的格局以及免疫检查点抑制剂治疗相关标志物的现状。
】 【中文关键词：肺神经内分泌肿瘤；免疫检查点抑制剂；生物学标志物；免疫治疗】.

Large cell neuroendocrine carcinoma (LCNEC) together with small cell carcinoma (SCLC) and typical and atypical carcinoids form the group of pulmonary neuroendocrine tumors. LCNEC and SCLC are high-grade carcinomas. Although both can be found outside the thoracic cavity, they are most common in the lung. LCNEC differs from SCLC by morphologic pattern, and by cytological features such as nuclear size, nucleoli, chromatin pattern, but also by genetic differences. Originally thought to represent a single entity, it became evident, that three subgroups of LCNEC can be identified at the molecular level: a SCLC-like type with loss of retinoblastoma 1 gene (RB1) and TP53 mutations; a non-small cell lung carcinoma (NSCLC)-like type with wildtype RB1, TP53 mutation, and activating mutations of the phosphoinositol-3 kinase (PI3K-CA), or loss of PTEN; and a carcinoid-like type with MEN1 gene mutation. These subtypes can be identified by immunohistochemical staining for RB1, p53, and molecular analysis for PI3K and MEN1 mutations. These subtypes might also respond differently to chemotherapy. Immuno-oncologic treatment has also been applied to LCNEC, however, in addition to the evaluation of tumor cells the stroma evaluation seems to be important. Based on personal experiences with these tumors and available references this review will try to encompass our present knowledge in this rare entity and provoke new studies for better treatment of this carcinoma.

BACKGROUND: The incidence and prevalence of neuroendocrine neoplasms (NENs) are rapidly rising. Epidemiologic trends have been reported for common NENs, but specific data for lung NENs are lacking.
METHODS: We conducted a retrospective analysis utilizing the Surveillance, Epidemiology, and End Results (SEER) database. Associated population data were utilized to report the annual age-adjusted incidence and overall survival (OS) trends. Trends for large-cell neuroendocrine carcinoma (LCNEC) and atypical carcinoid (AC) were reported from 2000-2015, while those for typical carcinoid (TC) and small cell lung cancer (SCLC) were reported from 1988-2015.
RESULTS: We examined a total of 124,969 lung NENs [103,890-SCLC; 3303-LCNEC; 8146-TC; 656-AC; 8974-Other]. The age-adjusted incidence rate revealed a decline in SCLC from 8.6 in 1988 to 5.3 in 2015 per 100,000; while other NENs showed an increase: TC increased from 0.57 in 1988 to 0.77 in 2015, AC increased from 0.17 in 2001 to 0.22 in 2015, and LCNEC increased from 0.16 in 2000 to 0.41 in 2015. The 5-year OS rate among SCLC, LCNEC, AC, and TC patients was 5%, 17%, 64%, and 84%, respectively. On multivariable analyses, OS and disease-specific survival (DSS) varied significantly by stage, sex, histological type, insurance type, marital status, and race, with a better survival noted in earlier stages, females, married, insured, Hispanic and other races, and urban population. Similarly, TC and AC had better survival compared to SCLC and LCNEC.
CONCLUSIONS: The incidence of lung NENs is rising, possibly in part because of advanced radiological techniques. However, the incidence of SCLCs is waning, likely because of declining smoking habits. Such population-based studies are essential for resource allocation and to prioritize future research directions.

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) is a parenchymal lung disease characterized by a proliferation of neuroendocrine cells in the bronchial wall, with possible local invasion and occasional development of tumorlets. It is considered to be a precursor lesion as it can progress to neuroendocrine tumors (NETs). At presentation, approximately one-half of patients with DIPNECH have a synchronous diagnosis of NET. Here, we present the case of a 95-year-old woman with progressive exertional dyspnea. She was found to have an obstructive airway syndrome and long-lasting progressive bilateral pulmonary nodules, with a distribution and growth pattern suggestive of DIPNECH, as well as possible progression to NET in the larger lesions. A transthoracic needle aspiration biopsy of a pulmonary nodule was performed, confirming the diagnosis of NET, evolving from DIPNECH.

To evaluate the prognostic significance of patterns of distant metastatic organs in metastatic pulmonary neuroendocrine tumors (PNETs).
891 metastatic PNETs patients (G1-typical carcinoid, 200; G2-atypical carcinoid, 68; G3-large-cell neuroendocrine carcinoma, 623) diagnosed between 2010 and 2016 were identified. Multivariate analysis was performed using a Cox regression model to identify prognostic factors associated with cancer-specific survival (CSS). The novel M component was established based on the hazard ratio of different metastatic organs. A disease-specific staging system was then proposed by using k-means cluster analysis.
For metastatic PNETs, involvement of bone, liver or brain and multiple metastatic organs were identified as independent prognostic factors in multivariate analysis. M categories was subdivided into three subcategories: M1a, lung involvement only or distant lymph node involvement only; M1b, bone involvement only or liver involvement only; M1c, brain involvement regardless of number of metastatic organs or multiple organs involvement except brain. Primary site surgery, chemotherapy and histologic subtypes were independently associated with CSS, but T component and N component were not. After regrouping histologic subtypes and novel M component, we proposed the following modified staging system: stage IVA (G1M1any, G2M1a-b), stage IVB (G2M1c, G3M1a-b) and stage IVC (G3M1c). The 2-year CSS were 77.9 %, 16.4 % and 5.3 %.
Subdivision of M component according to patterns of distant metastatic organs facilitates prognostic significance for PNETs. Brain metastases and multiple metastatic organs were associated with significantly inferior prognosis. Incorporating histologic subtypes and novel M categories create a disease-specific staging system showed good discriminatory capacity.

Neuroendocrine tumors (NETs) are a group of malignancies that originated from neuroendocrine cells, with the most common sites being lungs and the gastrointestinal tract. Lung NETs comprise 25% of all lung malignancies. Small cell lung cancer is the most common form of lung NETs, and other rare forms include well-differentiated typical carcinoids (TCs) and poorly differentiated atypical carcinoids (ACs). Given the paucity of randomized studies, rational treatment is challenging. Therefore, it is recommended that these decisions be made using a multidisciplinary collaborative approach. Surgery remains the mainstay of treatment, when feasible. Following surgery, various guidelines offer different recommendations in the adjuvant setting. In this paper, we describe the adjuvant management of lung NETs, as recommended by different guidelines, and highlight their differences. In addition to that, we also discuss the management of metastatic lung NETS, including the use of peptide receptor radionucleotide therapy.

Pulmonary neuroendocrine tumors (PNTs) comprise different neoplasms, ranging from low grade carcinoids to the highly malignant small cell lung cancers. Several studies identified the cytoskeleton protein Filamin A (FLNA) as determinant in cancer progression and metastasis, but the role of FLNA in PNT aggressiveness and progression is still unknown. We evaluated FLNA expression in PNTs with different grade of differentiation, the role of FLNA in cell proliferation, colony formation, angiogenesis, cell adhesion and migration in PNT cell line (H727 cells) and primary cultures and the possible interaction between FLNA and Rap1-GTPase. FLNA is highly expressed in PNTs with high malignant grade. FLNA silencing reduces cyclin D1 levels (-51±5, p<0.001) and cell proliferation in PNT cells (-37±4, p<0.05), colony formation and VEGF expression (-39±9%, p<0.01) in H727 cells. FLNA and Rap1 co-localize in cellular protrusions and FLNA silencing up-regulates Rap1 expression (+73±18%, p<0.01). Rap1 silencing prevents cell adhesion increase (+43%±18%, p<0.01) and cell migration decrease (-56±7%, p<0.01) induced by FLNA silencing, without affecting cell proliferation reduction. In conclusion, FLNA is implicated in PNT progression, in part through Rap1, thus providing a potential diagnostic and therapeutic target.

Achaete-scute homolog 1 is a lineage oncogene of high-grade pulmonary neuroendocrine tumors. Due to the relatively few studies investigating the epigenetic regulation of achaete-scute homolog 1 expression, we wanted to address whether DNA methylation of the achaete-scute homolog 1 CpG island is associated with clinicopathological features in pulmonary neuroendocrine tumors and to investigate its effect on the expression of this gene. Here, We performed multiplex immunohistochemistry (PerkinElmer, Waltham, MA, USA) to check for achaete-scute homolog 1 and Notch homolog 1 expression in 139 pulmonary neuroendocrine tumor samples. Quantitative measurements of achaete-scute homolog 1 CpG island methylation were conducted using the MassARRAY EpiTYPER (Sequenom, San Diego, CA, USA). The correlation between immunohistochemistry data, methylation data, and clinicopathological information was analyzed. Achaete-scute homolog 1 methylation levels were increased in pulmonary neuroendocrine tumors compared to those in normal controls (0.107 vs 0.061, p < 0.001), and among the achaete-scute homolog 1 CpG island, only CpG_6 and CpG_7.8 showed higher methylation levels in pulmonary neuroendocrine tumors (0.208 and 0.135, respectively) compared to those in normal lung tissues (0.072 and 0.087, respectively; p < 0.001). Moreover, the methylation level of CpG_6.7.8 was higher in patients with stage I pulmonary neuroendocrine tumors than in patients with stage II/III pulmonary neuroendocrine tumors (0.19 ± 0.16 vs 0.14 ± 0.07, p = 0.012). The hypermethylation of CpG_6.7.8 showed an inverse correlation with achaete-scute homolog 1 protein expression (r = -0.408, p = 0.007, Spearman test). Finally, we found that CpG_6.7.8 of the achaete-scute homolog 1 CpG island is frequently hypermethylated in early-stage pulmonary neuroendocrine tumors, and this aberrant hypermethylation is negatively correlated with achaete-scute homolog 1 expression in this tumor spectrum.