Large Cell Neuroendocrine Carcinoma of Gallbladder: A Case Report.

Large cell neuroendocrine carcinoma of the gallbladder is an extremely rare tumour with aggressive behaviour and a bad prognosis. Here, we report a case of a 65-year-old lady suspected of carcinoma of the gallbladder and underwent extended cholecystectomy. The histopathology report revealed neuroendocrine carcinoma of a large cell type of gall bladder infiltrating the liver and three periportal and pericholedochal lymph nodes. She had an uneventful perioperative period and was doing good till 6 months of follow-up. The only potentially curative treatment for large cell neuroendocrine carcinoma of the gallbladder is aggressive surgical resection, owing to its aggressive behaviour and bad prognosis. Keywords: carcinoma; case reports; cholecystectomy; gallbladder.

Real-World comprehensive genomic profiling data for diagnostic clarity in pulmonary Large-Cell neuroendocrine carcinoma.

BACKGROUND: Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is an uncommon subtype of lung cancer believed to represent a spectrum of tumors sharing characteristics of both small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Other groups have proposed genomic LCNEC subtypes, including small cell-like, non-small cell-like, and carcinoid-like subtypes. The primary goal of this study was to better define the NSCLC-like subtype with comprehensive genomic profiling (CGP). METHODS: An institutional database was queried to identify tissue specimens (TBx, N = 1,426) and liquid biopsies (LBx, N = 39) submitted for CGP during routine clinical care (8/2014 - 7/2023) with a disease ontology of LCNEC. TBx were profiled with FoundationOne® (F1) or F1CDx, using hybrid-capture technology to detect genomic alterations (GAs). RESULTS: 1,426 LCNEC samples were genomically profiled. The presence of RB1 and TP53 genomic alterations (GAs) were used to define a SCLC-like subtype (n = 557). A carcinoid-like group was defined by the presence of MEN1 mutation in the absence of TP53 GAs (n = 25). The remaining 844 samples were compared to the SCLC-like group and GAs enriched relative to the SCLC-like samples with a false discovery rate (FDR) < 0.0001 were used to define a NSCLC-like group. These NSCLC-like subtype-defining GAs included SMARCA4, KRAS, FGF3/4/19, STK11, CDKN2A/B, MTAP, and CCND1. Under this schema, 530 samples were classified as NSCLC-like and 314 remained unclassified. CONCLUSIONS: Large-scale CGP can better characterize biologically distinct molecular subtypes in LCNEC. Further studies to define how these molecular subtypes may help inform treatment decisions in this complex and challenging malignancy are warranted.

Carcinoma de células grandes de pulmón con inmunofenotipo nulo: reporte de caso y revisión breve de la literatura / Large cell carcinoma of the lung with null immunophenotype: Case report & brief review

El carcinoma de células grandes de pulmón con inmunofenotipo nulo (LCC-NI) constituye una entidad diagnóstica que hoy en día es especialmente infrecuente ya que no cuenta con ningún tipo de diferenciación celular o alteraciones moleculares propias. Representa un reto diagnóstico excepcional, el cual solo es posible realizar por exclusión contando con la resección quirúrgica, estudios de inmunohistoquímica y moleculares adecuados. Presentamos el caso de un varón de 69años de edad, con antecedente de alto índice tabáquico, que debuta con dolor pleurítico y tumor en el lóbulo pulmonar superior derecho, el cual se retira mediante lobectomía. A la evaluación patológica muestra una morfología de células grandes sin ningún inmunofenotipo, alteraciones moleculares o genómicas mediante estudios de secuenciación de siguiente generación (NGS), diagnosticándose como un LCC-NI.(AU)

Large cell carcinoma of the lung with null-immunophenotype (LCC-NI) is a diagnostic entity that is especially uncommon now as it does not have any type of cell differentiation or its own molecular alterations. It presents an exceptional diagnostic challenge; indeed, the diagnosis is only possible with complete surgical excision and adequate immunohistochemical and molecular studies. We report the case of a 69-year-old male, with a history of long-term smoking who presented with pleuritic pain. A tumor in the upper lobe of the right lung was detected and removed by lobectomy. Histopathology revealed a neoplasm with large cell morphology without any specific immunophenotype, molecular or genomic rearrangements through next-generation sequencing (NGS) studies, which was diagnosed as LCC-NI.(AU)

Diagnostic criteria and evolving molecular characterisation of pulmonary neuroendocrine carcinomas.

Neuroendocrine carcinomas of the lung are currently classified into two categories: small-cell lung carcinoma and large-cell neuroendocrine carcinoma. Diagnostic criteria for small-cell and large-cell neuroendocrine carcinoma are based solely on tumour morphology; however, overlap in histologic and immunophenotypic features between the two types of carcinomas can potentially make their classification challenging. Accurate diagnosis of pulmonary neuroendocrine carcinomas is paramount for patient management, as clinical course and treatment differ between small-cell and large-cell neuroendocrine carcinoma. Molecular-genetic, transcriptomic, and proteomic data published over the past decade suggest that small-cell and large-cell neuroendocrine carcinomas are not homogeneous categories but rather comprise multiple groups of distinctive malignancies. Nuances in the susceptibility of small-cell lung carcinoma subtypes to different chemotherapeutic regimens and the discovery of targetable mutations in large-cell neuroendocrine carcinoma suggest that classification and treatment of neuroendocrine carcinomas may be informed by ancillary molecular and protein expression testing going forward. This review summarizes the current diagnostic criteria, prognostic and predictive correlates of classification, and evidence of previously unrecognised subtypes of small-cell and large-cell neuroendocrine carcinoma.

Classifying Pulmonary and Urinary High-grade Neuroendocrine Carcinoma by CK7 Immunohistochemistry.

High-grade neuroendocrine carcinoma (HGNEC) is subclassified into small cell carcinoma (SmCC) and large cell neuroendocrine carcinoma (LCNEC). Although both are clinically aggressive, the SmCC and LCNEC need to have different treatment strategies, and accurate pathologic diagnosis is challenging. We studied a large retrospective cohort (186 cases) of HGNEC of bladder and lung to investigate the abundance of cytokeratin (CK) 7 expression and staining pattern in SmCC and LCNEC. Overall, the pulmonary and urinary HGNEC exhibited several different CK7 staining patterns, including negative staining (n=28), dot-like staining (n=73), partial membranous staining (n=26), and complete membranous staining (n=60). Overall, 88.9% (44/49) of pulmonary SmCC and 88.0% (44/50) of urinary SmCC showed negative or dot-like patterns for CK7, while 90.8% (59/65) of pulmonary LCNEC and 72.7% (16/22) of urinary LCNEC showed partial or complete membranous patterns for CK7 (χ 2 =105.05, P <0.0001). The distinct staining patterns were also present in those mixed SmCC and LCNEC. In addition, the specimen types or fixation did not affect CK7 staining patterns. In conclusion, CK7 has a high differential value for SmCC and LCNEC and could help guide personalized treatment for patients.

Expression of SATB2 in Neuroendocrine Carcinomas of the Lung: Frequent Immunopositivity of Large Cell Neuroendocrine Carcinoma with a Diagnostic Pitfall.

Small cell lung carcinoma (SCLC) and pulmonary large cell neuroendocrine carcinoma (LCNEC) are both classified as lung neuroendocrine carcinoma (NEC). It has recently been reported that the special AT-rich sequence-binding protein 2 (STAB2), known as a colorectal cancer marker, is also expressed in NECs occurring in various organs including the lung. However, few studies have examined any differences of SATB2 immunopositivity between SCLC and LCNEC. We investigated SATB2 expression in 45 SCLC and 14 LCNEC cases using immunohistochemistry as well as the expression of caudal-type homeobox 2 (CDX2) and keratin (KRT) 20. The LCNEC cases were more frequently positive for SATB2 (ten out of 14, 71%) than the SCLC ones (seventeen out of 45, 38%) with a statistically significance (P = 0.035). Furthermore, two LCNEC cases were positive for CDX2 while no positive findings were observed for any SCLC cases, the difference of which, however, was not statistically significant (P = 0.053). KRT20 was negative in all LCNEC and SCLC cases. These results require our attention when we use SATB2 and CDX2 as colorectal cancer markers because their expression in pulmonary NECs can lead to a misdiagnosis that the tumor is of metastatic colorectal adenocarcinoma, especially when the patient has a past history of colorectal cancer. Analyzing the relationship between the demographic/clinical variables and the SATB2 expression in the SCLC cases, just high Brinkman index (≥ 600) was significantly related to the positivity of SATB2 (P = 0.017), which is interesting considering the strong relationship between SCLC and smoking.

Addressing Sex Disparities in Lung Cancer Screening Eligibility: USPSTF vs PLCOm2012 Criteria.

BACKGROUND: Lung cancer is the leading cause of cancer death in women in the United States. Prospective randomized lung screening trials suggest a greater lung cancer mortality benefit from screening women compared with men. RESEARCH QUESTION: Do the United States Preventative Services Task Force (USPSTF) lung screening guidelines that are based solely on age and smoking history contribute to sex disparities in eligibility, and if so, does the use of the PLCOm2012 risk prediction model that is based on 11 predictors of lung cancer reduce sex disparities? STUDY DESIGN AND METHODS: This retrospective analysis of 883 lung cancer cases in the Chicago Race Eligibility for Screening Cohort (CREST) determined the sensitivity of USPSTF vs PLCOm2012 eligibility criteria, stratified according to sex. For comparisons vs the USPSTF 2013 and the recently published USPSTF 2021 (released March 9, 2021) eligibility criteria, the PLCOm2012 model was used with risk thresholds of ≥ 1.7%/6 years (6y) and ≥ 1.0%/6y, respectively. RESULTS: The sensitivities for screening by the USPSTF 2013 were 46.7% for women and 64.6% for men (P = .003) and by the USPSTF 2021 were 56.8% and 71.8%, respectively (P = .02). In contrast, the PLCOm2012 ≥ 1.7%/6y sensitivities were 64.6% and 70.4%, and the PLCOm2012 ≥ 1.0%/6y sensitivities were 77.4% and 82.4%. The PLCOm2012 differences in sensitivity using ≥ 1.7%/6y and ≥ 1.0%/6y thresholds between women and men were nonsignificant (both, P = .07). Compared with men, women were more likely to be ineligible according to the USPSTF 2021 criteria because their smoking exposures were < 20 pack-years (22.8% vs 14.8%; ORWomen vs Men, 1.70; 95% CI, 1.19-2.44; P = .002), and 27% of these ineligible women were eligible according to the PLCOm2012 ≥ 1.0%/6y criteria. INTERPRETATION: Although the USPSTF 2021 eligibility criteria are more sensitive than the USPSTF 2013 guidelines, sex disparities in eligibility remain. Adding the PLCOm2012 risk prediction model to the USPSTF guidelines would improve sensitivity and attenuate sex disparities.

Primary Large Cell Neuroendocrine Carcinoma of the Parotid Gland. Report of a Rare Case.

Primary neuroendocrine carcinomas of the salivary glands are very rare neoplasms that present light microscopic, ultrastructural, and immunohistochemical features of neuroendocrine differentiation. Twelve cases have been published in the English language literature. We describe the pathologic features of a case of primary large cell neuroendocrine carcinoma of the parotid gland in a 91-year old male and summarize the immunophenotype of previously reported LCNECs of the major salivary glands. It is concluded that primary LCNEC of the salivary glands presents as a high-grade undifferentiated carcinoma, whose diagnosis may be hindered by its rarity and non-specific light microscopic features. A high level of awareness, immunohistochemical staining for neuroendocrine markers synaptophysin and CD56, and a thorough diagnostic work-up in order to exclude metastasis from a primary neuroendocrine carcinoma will allow its diagnosis.

Clinicopathological significance of the expression of PD-L1 in non-small cell lung cancer.

INTRODUCTION: PD1/PD-L1 pathway targeting therapies are nowadays an established treatment option for patients with NSCLC. We assessed whether PD-L1 expression in NSCLC tumor cells was associated with specific clinical features or overall survival using four different clones. METHODS AND RESULTS: A retrospective study included formalin-fixed paraffin embedded (FFPE) surgical tumors from 482 patients. PD-L1 status was assessed with immunohistochemistry in tumor cells on tissue microarrays using clones 28-8, 22C3, SP263 and SP142. Associations with OS were assessed by Kaplan-Meier and multivariate Cox's regression analysis. Patients' median age: 68 years (39-86); histology: adenocarcinoma (AdCa) 61%, squamous-cell carcinoma (SqCC) 33%, and large cell carcinoma (LCC) 6%; p-stage: IA (46%), IB (30%), IIA (10%), IIB (11,4%), IIIA (1,2%), IIIB - IV (0,4%). PD-L1 positivity (≥1%) in NSCLC for clones 28-8, 22C3, SP263, SP142 was 41.5%, 34.2%, 42.7%, 10.4%, respectively (Pearson Chi-square p < 0.0001). PD-L1 expression was correlated with histology, tumor size and grading. Statistically significant association between PD-L1 expression and OS in NSCLC and Non-AdCa was observed with clone SP142 (log-rank p = 0.045 and p = 0.05, respectively). Statistically significant association between PD-L1 expression and OS in LCC was observed with clones 22C3 (log-rank p = 0.009) and SP263 (log-rank p = 0.050). CONCLUSIONS: Overexpression of the PD-L1 clone SP142 was associated with poor overall survival in NSCLC and Non-AdCa. Clones 22C3 and SP263 were associated with poor prognosis in LCC. PD-L1 status might serve as a prognostic marker in NSCLC.

Challenges in Ki-67 assessments in pulmonary large-cell neuroendocrine carcinomas.

AIMS: To gather the best available evidence regarding Ki-67% values in large-cell neuroendocrine carcinoma (LCNEC) and determine whether certain cut-off values could serve as a prognostic feature in LCNEC. METHODS AND RESULTS: Aperio ScanScope AT Turbo, eSlide Manager and ImageScope software (Leica Biosystems) were used to measure Ki-67% in 77 resected LCNEC diagnosed by World Health Organisation (WHO) criteria. Cases were stratified into six classes by 10% Ki-67 increments. Using the Kaplan-Meier method, overall (OS) and disease-free survivals (DFS) were compared by AJCC stage, by six Ki-67% classes and with Ki-67% cut-points ≥20% and ≥40%. Tumours were from 0.9 to 11.5 cm and pathological stages 1-3. The system measured Ki-67% positivity using 4072-44 533 tumour nuclei per case (mean 16610 ± 8039). Ki-67% ranged from 1 to 64% (mean = 26%; median = 26%). Only 16 (21%) tumours had Ki-67% ≥40%. OS ranged from 1 to 298 months (median follow-up = 25 months). DFS ranged from 1 to 276 months (median follow-up = 9 months). OS and DFS differed across AJCC stage (overall log-rank P = 0.038 and P = 0.037). However, neither OS nor DFS significantly correlated with Ki-67% when six or two classes were used with either ≥20% Ki-67 or ≥40% Ki-67 as cut-point. A literature review identified 14 reports meeting our inclusion criteria with ≥10 LCNEC. Reported Ki-67% ranged from 2% to 100%. Problems contributing to variability in Ki-67% measurements are discussed. CONCLUSION: Our findings caution against a blanket use of 20%, 40% or other Ki-67% cut-points for LCNEC diagnosis or prognostication.

Ki-67 Index of 55% Distinguishes Two Groups of Bronchopulmonary Pure and Composite Large Cell Neuroendocrine Carcinomas with Distinct Prognosis.

BACKGROUND: Little information is available concerning prognostic factors for bronchopulmonary large cell neuroendocrine carcinomas (BP-LCNECs) and even less is known about combined LCNECs (Co-LCNECs). We investigated whether an integrated morphological, immunohistochemical, and molecular approach could be used for their prognostic evaluation. METHODS: Morphological (including combined features), proliferative (mitotic count/Ki-67 index), immunohistochemical (napsin A, p40, TTF-1, CD44, OTP, SSTR2A, SSTR5, mASH1, p53, RB1, and MDM2), and genomic (TP53, RB1, ATM, JAK2, KRAS, and STK11) findings were analyzed in BP-LCNECs from 5 Italian centers, and correlated with overall survival (OS). The Ki-67 index was expressed as the percentage of positive cells in hot spots as indicated in the WHO 2019 Digestive System Tumors and, for Co-LCNECs, the Ki-67 index was evaluated only in the LCNEC component. RESULTS: A total of 111 LCNECs were distinguished into 70 pure LCNECs, 35 Co-LCNECs (27 with adenocarcinoma [ADC] and 8 with squamous cell carcinoma [SqCC]), and 6 LCNECs with only napsin A immunoreactivity. The Ki-67 index cutoff at 55% evaluated in the neuroendocrine component was the most powerful predictor of OS (log-rank p = 0.0001) in all LCNECs; 34 cases had a Ki-67 index <55% (LCNEC-A) and 77 had a Ki-67 index ≥55% (LCNEC-B). Statistically significant differences in OS (log-rank p = 0.0001) were also observed between pure and Co-LCNECs. A significant difference in OS was found between pure LCNECs-A and Co-LCNECs-A (p < 0.05) but not between pure LCNECs-B and Co-LCNECs-B. Co-LCNEC-ADC and LCNEC napsin A+ cases had longer OS than pure LCNEC and Co-LCNEC-SqCC cases (log-rank p = 0.0001). On multivariable analysis, tumor location, pure versus combined features, and napsin A, but no single gene mutation, were significantly associated with OS after adjustment for Ki-67 index and study center (p < 0.05). CONCLUSIONS: The Ki-67 proliferation index and the morphological characterization of combined features in LCNECs seem to be important tools for predicting clinical outcome in BP-LCNECs.

Atypical and incomplete pulmonary hypertrophic osteoarthropathy in the left distal femur: a case report.

BACKGROUND: Pulmonary hypertrophic osteoarthropathy (PHO) is a rare paraneoplastic syndrome that mainly occurs in patients with lung cancer. Most symptoms occur symmetrically, and unilateral symptoms without clubbing are infrequent. This report presents the case of a rare atypical symptom that was highly suspected of being PHO. CASE PRESENTATION: A 77-year-old woman with swelling and severe pain in the left femur for 2 months was referred to our hospital. Radiography revealed a remarkably osteogenic thickening and sclerotic lesion in her distal femur. Preliminary diagnoses of malignant bone tumor and hematological tumor were made based on laboratory test results, radiological examination, and clinical manifestation. A needle biopsy was performed, which ruled out the diagnosis of malignant bone tumors. A low-grade bone tumor was still suspected. After that, en bloc resection was performed, followed by replacement of the femur with a mega-prosthesis. Pathological analysis revealed no malignant tumor cells, and immunohistochemical staining for CDK4 and MDM2 yielded negative results. Meanwhile, pulmonary large cell carcinoma was identified on biopsy. Based on published studies, a diagnosis of atypical PHO was made according to clinical and imaging manifestations. CONCLUSIONS: This is an infrequent case of PHO with unilateral symptoms in the left femur. When clinical manifestations and radiological findings are inconsistent with the pathological results, the possibility of benign lesions with malignant clinical manifestations or imaging features should be carefully considered.

Immunohistological expression of oestrogen receptor, progesterone receptor, mammaglobin, human epidermal growth factor receptor 2 and GATA-binding protein 3 in non-small-cell lung cancer.

AIMS: Non-small-cell lung cancer (NSCLC) and breast cancer are common entities. Staining for oestrogen receptor (ER), progesterone receptor (PgR), mammaglobin (MAMG) and GATA-binding protein 3 (GATA3) is frequently performed to confirm a mammary origin in the appropriate diagnostic setting. However, comprehensive data on the immunohistological expression of these markers in NSCLC are limited. Therefore, the aim of this study was to analyse a large cohort of NSCLCs and correlate the staining results with clinicopathological variables. METHODS AND RESULTS: A tissue microarray was stained for ER, PgR, MAMG, human epidermal growth factor receptor 2 (HER2), and GATA3, and included 636 adenocarcinomas (ADCs), 536 squamous cell carcinomas (SqCCs), 65 large-cell-carcinomas, 34 pleomorphic carcinomas, and 20 large-cell neuroendocrine carcinomas. HER2 status was determined for immunohistochemically positive cases with chromogenic in-situ hybridisation. Markers with a proportion of ≥5% positive cases in ADC and SqCC were considered for survival analysis. Among ADCs, 62 (10%), 17 (3%), one (<1%), seven (1%), and 49 (8%) cases were positive for ER, PgR, MAMG, HER2, and GATA3, respectively. Among SqCCs, 10 (2%), 14 (3%), two (<1%) and 109 (20%) cases were positive for ER, PgR, HER2, and GATA3, but none of the samples showed positivity for MAMG. ER positivity was associated with ADC, female sex, smaller tumour size, and lower clinical stage. None of the markers had an impact on survival. CONCLUSION: We report on ER, PgR, MAMG, HER2 and GATA3 expression in a large cohort of NSCLCs. Interpretation of these markers in the differential diagnostic setting should be based on a multimarker panel.

Urinary Tract Large Cell Neuroendocrine Carcinoma: Diagnostic, Prognostic and Therapeutic Issues.

Large cell neuroendocrine carcinoma (LCNEC) of the urinary tract is a high-grade neuroendocrine tumor with distinct pathological features, usually portending an aggressive clinical behavior in comparison to conventional urothelial carcinoma. Due to its low prevalence, little is known about its clinical management and there is no current standard of care. The aim of this review was to summarize the current knowledge about LCNEC of the bladder, ureter and kidney, with relevance to diagnostic, prognostic and therapeutic issues, through a systematic analysis of clinical, pathological and outcome data retrieved from the literature.

Feasibility of a deep learning algorithm to distinguish large cell neuroendocrine from small cell lung carcinoma in cytology specimens.

INTRODUCTION: Distinguishing small cell lung carcinoma (SCLC) from large cell neuroendocrine carcinoma (LCNEC) in cytology is challenging. Our aim was to design a deep learning algorithm for classifying high-grade neuroendocrine carcinomas in fine needle aspirations. METHODS: Archival cytology cases of high-grade neuroendocrine carcinoma (17 small cell, 13 large cell, 10 mixed/unclassifiable) were retrieved. Each case included smears (Diff-Quik® and Papanicolaou stains) and cell block or concomitant core biopsies (haematoxylin and eosin [H&E] stain). All slides (n = 114) were scanned at 40× magnification, randomised and split into training (11 large, nine small) and test (two large, eight small, 10 mixed) groups. Tumour was annotated using QuPath and exported as JPEG image tiles. Three distinct deep learning convolutional neural networks, one for each preparation/stain, were designed to classify each tile and provide an overall diagnosis for each slide. RESULTS: The H&E-trained algorithm correctly classified 7/8 (87.5%) SCLC cases and 2/2 (100%) LCNEC cases. The Papanicolaou stain algorithm correctly classified 6/7 (85.7%) SCLC. and 1/1 (100%) LCNEC cases. The algorithm trained on Diff-Quik® stained images correctly classified 7/8 (87.5%) SCLC and 1/1 (100%) LCNEC cases. CONCLUSION: Using open source software, it was feasible to design a deep learning algorithm to distinguish between SCLC and LCNEC. The algorithm showed high precision in distinguishing between these two categories on H&E sectioned material and direct smears. Although the dataset was limited, our deep learning models show promising results in the classification of LCNEC and SCLC. Additional work using a larger dataset is necessary to improve the algorithm's performance.

Durable response to combination radiotherapy and immunotherapy in EP-resistant lung large-cell neuroendocrine carcinoma with B2M and STK11 mutations: a case report.

Lung large-cell neuroendocrine carcinoma (LCNEC) is a rare tumor with poor prognosis. Despite the increasing prevalence of immune checkpoint inhibitors (ICIs) across a broad spectrum of solid tumors, very limited information is available about the efficacy in LCNEC. Here, we report a case of advanced lung LCNEC treated with combined radiotherapy and ICIs, which resulted in a durable response. We also focused on the impressive reaction of metastatic and primary lesions to two different combination modes of radiotherapy and ICIs.

[Large-cell neuroendocrine carcinoma of the lung - challenges of diagnosis and treatment]. / Nagysejtes neuroendocrin carcinoma ­ a kórisme és a kezelés nehézségei.

Small-cell lung carcinoma (SCLC) and the rare large-cell neuroendocrine carcinoma belong to the high grade pulmonary neuroendocrine carcinomas. Making the correct diagnosis and selection of treatment modalities require multidisciplinary meetings due to the morphological overlaps, aggressive behaviour and debated therapeutic guidelines of these entities. A 52-year-old woman was admitted to the hospital because of headache, nausea and tenebrous vision. The CT revealed metastatic tumour mass in the occipital lobe and in the cerebellum. Both tumours were removed and resulted in histological diagnosis of metastatic neuroendocrine carcinoma. Chest X-ray established contrast-enhancing lesion in the left lung. Bronchoscopy was performed and histological examination revealed large-cell neuroendocrine carcinoma. Postoperative skull irradiation and small-cell lung cancer chemotherapy protocol were utilized. Due to atelectasis and progression, chest irradiation was initiated, which was interrupted because of novel brain metastases. Further chemotherapy followed the non-small-cell lung cancer protocol. After 3 months, thoracic progression, brain and disseminated bone metastases were diagnosed. After a 14-month-long therapy, the patient deceased. Large-cell neuroendocrine carcinoma has a poor prognosis, the incidence of brain metastasis is 25-50%. In early stage large-cell neuroendocrine carcinoma, lobectomy is the standard treatment and adjuvant chemotherapy should also be considered. Although the non-small-cell lung cancer chemotherapy protocol is approved widely in the treatment of large-cell neuroendocrine carcinoma, the utility of SCLC scheme has also been suggested. Orv Hetil. 2020; 161(8): 313-319.

Five-year survival and prognostic factors according to histology in 6101 non-small-cell lung cancer patients.

OBJECTIVE: To estimate five-year survival in non-small-cell lung cancer (NSCLC) patients according to histology and to identify independent prognostic factors by histology. METHODS: Data were obtained during the KBP-2010-CPHG study, which included all new cases of primary lung cancer diagnosed in 2010 in 104 non-academic hospitals. RESULTS: In all, 3199 patients had adenocarcinoma (ADC), 1852 squamous cell carcinoma (SCC), 754 large cell carcinoma (LCC). Five-year survival was 13.3% [12.1%-14.5%] for ADC, 14.3% [12.7%-16.0%] for SCC, 9.6% [7.6%-11.9%] for LCC (P<0.001). Performance status, weight loss prior to diagnosis and tumour stage were consistently significant independent prognostic factors. Age (>70 years; P=0.004), male gender (P<0.001), and smoking (P<0.001) were independent negative prognostic factors for ADC. Epidermal Growth Factor Receptor (EGFR)-mutation tests, performed in 1638 ADC patients, were positive for 186. Five-year survival was 14.7% [10.3%-21%] and 10.9% [9.4%-12.6%] for mutated and wild-type EGFR, respectively (P<0.001). EFGR mutation was an independent positive prognostic factor (HR=0.5 [0.4-0.6], P<0.001); however, the proportional hazards assumption was not fulfilled and hazards were inverted after 35 months. CONCLUSIONS: Five-year survival in patients managed in French non-academic hospitals for primary NSCLC in 2010 remained poor (<15%), whatever the histologic type. The independent negative prognostic factors for five-year survival were: weight, particularly weight loss prior to diagnosis; smoking (active or former) at diagnosis in ADC and LCC and smoking level at diagnosis in smoker patients with SCC. The independent positive prognostic factors were young age and female gender for ADC.