Pulmonary Small Cell Research Articles

CircBRIP1: a plasma diagnostic marker for non-small-cell lung cancer

BackgroundCircular RNA (circRNA), which has been demonstrated in studies to be abundantly prevalent in tumor cells and bodily fluids and to play a significant role in tumors, has the potential for biological markers to be used to assist tumor diagnosis. This study mainly discusses the potential of circBRIP1 as a biomarker for diagnosing non-small-cell lung cancer (NSCLC).MethodsFirst, high-throughput sequencing screened the differentially expressed circBRIP1, and real-time fluorescence quantitative PCR (qRT-PCR) verified its expression in NSCLC. Next, sanger sequencing, agarose gel electrophoresis, RNase R assay, and fluorescence in situ hybridization (FISH) were used to verify its molecular characteristics. The diagnostic value was analyzed by the subject operating characteristic curve (ROC), and the cardinality test was analyzed for correlation with clinicopathological parameters. Finally, we tentatively predicted the downstream miRNA- or RNA-binding protein that may bind to circBRIP1.ResultsCircBRIP1 is highly expressed in NSCLC tissues, cells and plasma with good specificity and stability. CircBRIP1 not only can well-distinguish NSCLC patients from benign pulmonary diseases (BPD) patients, healthy individuals and small cell lung cancer (SCLC) patients, but it also has some potential for dynamic monitoring. Combined with the analysis of clinicopathological data, the high level of circRNA expression was related to the degree of tumor differentiation, TNM stage, T stage, lymph node metastasis and distal metastasis in NSCLC patients. In addition, circBRIP1 has a high diagnostic value.ConclusionsPlasma circBRIP1 is significantly overexpressed in NSCLC patients. It can be used as a sensitive biomarker with unique value for early diagnosis, tumor development and prognosis detection.

A comparison of the outcomes of pulmonary versus extrapulmonary extensive-stage small cell carcinoma.

Extrapulmonary small cell carcinomas (EPSCCs) are rare cancers, comprising 0.1-0.4% of all cancers. The scarcity of EPSCC studies has led current treatment strategies to be extrapolated from small cell lung cancer (SCLC), justified by analogous histological and clinical features. We conducted a retrospective cohort study comparing the outcomes of extensive-stage (ES) SCLC and EPSCC. Patients diagnosed with ES SCLC or EPSCC between 2010 and 2020 from four hospitals in Sydney were identified. Patients who received active treatment and best supportive care were included. The primary endpoint was overall survival (OS), and secondary endpoints were progression-free survival (PFS) and overall response rates (ORRs). Three hundred and eighty-four patients were included (43 EPSCC vs. 340 SCLC). EPSCC were of genitourinary (n = 15), unknown primary (n = 13) and gastrointestinal (n = 12) origin. Treatment modalities for EPSCC compared to SCLC included palliative chemotherapy (56% vs 73%), palliative radiotherapy (47% vs 59%) and consolidation chest radiotherapy (10% of SCLC). Overall, median OS was 6.4 versus 7 months for EPSCC versus SCLC respectively, but highest in prostate EPSCC (25.6 months). Of those who received chemotherapy (22 EPSCC vs 233 SCLC), median OS was 10.4 versus 8.4 months (HR OS 0.81, 95% confidence interval (CI): 0.5-1.31, P = 0.38); PFS was 5.4 versus 5.5 months (HR PFS 0.93, 95% CI: 0.58-1.46, P = 0.74) and ORR were 73% versus 68%. EPSCC and SCLC appeared to have comparable OS and treatment outcomes. However, the wide range of OS in EPSCC highlights the need for an improved understanding of its genomics to explore alternative therapeutics.

EP13.05-03 A Comparison of the Outcomes of Pulmonary versus Extrapulmonary Extensive Stage Small Cell Carcinoma

EP13.05-03 A Comparison of the Outcomes of Pulmonary versus Extrapulmonary Extensive Stage Small Cell Carcinoma

Palliative radiotherapy is effective for both well- and poorly differentiated neuroendocrine neoplasms.

The outcomes of palliative radiation therapy (RT) for neuroendocrine neoplasms (NEN) are seldom reported. We investigated outcomes following palliative radiotherapy in a cohort of patients with NENs. We hypothesised that well-differentiated NEN will be less likely to have a clinical response than poorly differentiated NEN. Patients who received at least one course of palliative RT were identified using the New Zealand NETwork! Registry. Patients with Merkel cell carcinoma, pulmonary small cell carcinoma or asymptomatic patients were excluded. Clinical response to RT within 90 days and overall survival were analysed alongside clinical variables (fractionation, RT site, tumour differentiation and tumour primary site). The cohort comprised 79 patients, with 147 courses of palliative RT delivered. Clinical response was measurable for 100 courses, with clinical response rate of 76%. A course delivered to a well-differentiated NEN was associated with 2.02-fold (95% CI 0.67, 6.12; P = 0.21) increase in odds of a clinical response compared to a poorly differentiated NEN. Median overall survival from the first fraction of RT was 94 days (95% CI 80, 138 days). Overall survival was higher in well-differentiated NEN than in poorly differentiated NEN (HR 0.2, 95% CI 0.10-0.40, P-value < 0.001); 30-day mortality was 7%. There were significantly reduced odds of clinical response for non-bone sites, and for courses >10 fractions compared to a single fraction. Palliative RT is an appropriate option for management of symptoms in patients with both well- and poorly differentiated metastatic NEN.

Coexistence of pulmonary tuberculosis and small cell lung carcinoma: A significant problem in tuberculosis-endemic country?

Pulmonary tuberculosis and lung cancer are public health problems, causing significant morbidity and mortality worldwide. The coexistence of the two diseases has rarely been reported while their causative association has been noticed leading to diagnosis delayed and prognosis worsening. In this case report, we present the case of a patient with coexistence of pulmonary tuberculosis and small cell lung carcinoma. A 54-year-old male was presented with the complained of lower left chest pain for six months, which was getting worse four days before admission to the hospital. The patient also complained of cough and decreased appetite and weight loss. Initial chest X-ray revealed an infiltrate and cavity in the upper right lung and inhomogeneous consolidation in the left paracardial. After the patient was diagnosed with pulmonary tuberculosis and was given anti-tuberculosis drugs for two months, the cavity and consolidation decreased with no clinically significant improvement. We performed a bronchoscopy with suspicion of lung cancer and a forcep biopsy in which small cell carcinoma was confirmed. The patient received two cycles of chemotherapy and anti-tuberculosis was continued for four months. During the observation in the fourth month, there was a reduction in the tumor size. This case highlights that similarity of clinical symptoms between pulmonary tuberculosis and lung cancer often lead to misdiagnosis of both. Therefore, in the absence of complete clinical and radiological improvement in pulmonary tuberculosis patients, the coexistence of lung cancer should be considered. This also highlights that early diagnosis is critical for the favorable outcome.

Patterns of Immunoreactivity with TTF-1 Antibodies 8G7G3/1 and SPT24 Suggest Distinct Immunoprofiles Between Most Pulmonary and Nonpulmonary Small Cell Carcinomas.

Introduction. Small cell carcinoma can arise from various sites. Herein, we analyze the ability of 2 thyroid transcription factor-1 (TTF-1) antibodies (SPT24 and 8G7G3/1) to separate pulmonary from nonpulmonary small cell carcinoma. Materials and Methods. We analyzed 26 pulmonary and 83 nonpulmonary small cell carcinomas, and 14 Merkel cell carcinomas. Each tumor was stained with SPT24 and 8G7G3/1. Extent of nuclear staining was scored as diffuse (>50%), focal (11%-50%), rare (1%-10%), or negative (<1%). Results. All pulmonary small cell carcinomas were positive for SPT24 and 8G7G3/1. Four Merkel cell carcinomas (29%) were positive for SPT24 (ranging from rare-to-diffuse), while 2 (14%) showed rare expression with 8G7G3/1. For nonpulmonary small cell carcinomas, 69 (83%) were positive for SPT24 and 40 (48%) were positive for 8G7G3/1. For SPT24 positive tumors, the extent of 8G7G3/1 expression was equal in 17 (25%) and less in 52 tumors (75%), including 29 (42%) that were negative for 8G7G3/1. No nonpulmonary small cell carcinoma had more staining with 8G7G3/1 compared to SPT24. The differences in staining between 8G7G3/1 and SPT24 in the nonpulmonary cohort were statistically significant (P < 0.0001) with no significant difference between primary and metastatic lesions for 8G7G3/1 (P = 0.66) or SPT24 (P = 0.77). Conclusion. Most pulmonary small cell carcinomas are diffusely positive for both SPT24 and 8G7G3/1, whereas most nonpulmonary small cell carcinomas exhibit focal-to-no staining with 8G7G3/1 and significantly less staining with 8G7G3/1 compared to SPT24. However, these trends are not absolute and should be interpreted in conjunction with clinical and radiological findings.

Incidence, survival comparison, and novel prognostic evaluation approaches for stage iii-iv pulmonary large cell neuroendocrine carcinoma and small cell lung cancer

BackgroundPulmonary large cell neuroendocrine carcinoma (LCNEC) and small cell lung cancer (SCLC) are two types of high-grade neuroendocrine carcinomas of the lung with poor prognosis. LCNEC has not been thoroughly studied due to its rarity, data are also lacking regarding the survival comparison and prognosis analysis of patients with locally advanced or metastatic LCNEC and SCLC.MethodsData of patients with LCNEC, SCLC, and other NSCLC who were diagnosed from 1975 to 2019 were extracted from the Surveillance, Epidemiology and End Results (SEER) database to estimate incidence. Those in stage III-IV and being diagnosed from 2010 to 2015 were utilized further to investigate their clinical characteristics and prognosis. Propensity score matching (PSM) analyses at a ratio of 1:2 was used to compare their survival outcomes. Nomograms of LCNEC and SCLC were established with internal validation, and the nomogram of SCLC was externally validated by 349 patients diagnosed in Cancer hospital, Chinese Academy of Medical Sciences & Peking Union Medical College from January 1, 2012 to December 31, 2018.ResultsThe incidence of LCNEC has been increasing in recent decades, meanwhile that of SCLC and other types of NSCLC were decreasing. A total of 91,635 lung cancer patients, including 785 with LCNEC, 15,776 with SCLC, and 75,074 with other NSCLC were enrolled for further analysis. The survival of stage III-IV LCNEC resembles that of SCLC, and significantly worse than other types of NSCLC before and after PSM analysis. In pretreatment prognostic analysis, age, T stage, N stage, M stage, bone metastasis, liver metastasis, and brain metastasis were found to be associated with the survival of both LCNEC and SCLC, besides sex, bilaterality, and lung metastasis were additional prognostic factors for SCLC. Two nomograms and convenient online tools respectively for LCNEC and SCLC were established accordingly with favorable predicting accuracy of < 1-year, < 2-year, < 3-year survival probabilities. In external validation of the SCLC nomogram with a Chinese cohort, the AUCs of 1-year, 2-year and 3-year ROC were 0.652, 0.669, and 0.750, respectively. All the results of 1-, 2-, 3- year variable-dependent ROC curves verified the superior prognostic value of our nomograms for LCNEC and SCLC over the traditional T/N/M staging system.ConclusionsBased on large sample-based cohort, we compared the epidemiological trends and survival outcomes between locally advanced or metastatic LCNEC, SCLC, and other NSCLC. Furthermore, two prognostic evaluation approaches respectively for LCNEC and SCLC might present as practical tools for clinicians to predict the survival outcome of these patients and facilitate risk stratification.

SOX11 Is an Effective Discriminatory Marker, When Used in Conjunction With CK20 and TTF1, for Merkel Cell Carcinoma: Comparative Analysis of SOX11, CK20, PAX5, and TTF1 Expression in Merkel Cell Carcinoma and Pulmonary Small Cell Carcinoma.

Distinction between Merkel cell carcinoma (MCC) and pulmonary small cell carcinoma (PSmCC) can be challenging, even with the aid of immunohistochemistry (IHC) analysis of CK20 and TTF1, as these tumors occasionally lack classic immunophenotypes (CK20+/TTF1- in MCC and CK20-/TTF1+ in PSmCC). To evaluate the diagnostic utility of SOX11 and PAX5 IHC for distinguishing MCCs from PSmCCs and compare it with that of CK20 and TTF1 IHC. SOX11, PAX5, CK20, and TTF1 expression (pattern, intensity, and proportion of tumor cells expressing protein) was assessed in 31 primary and 16 metastatic MCCs and 20 primary and 9 metastatic PSmCCs. SOX11 expression was present in all MCCs and was predominantly strong and diffuse. Only 19% of primary and 38% of metastatic MCCs exhibited diffuse PAX5 expression; none exhibited strong immunoreactivity. Strong and diffuse SOX11 expression was seen in less than 25% of primary and metastatic PSmCCs. PAX5 expression was rare in PSmCCs and was mostly weak and focal/patchy. SOX11 expression in at least 26% of tumor cells, with at least moderate intensity, favored the diagnosis of MCC over PSmCC (P < .001). Furthermore, SOX11 expression was more likely than CK20 expression to be strong or diffuse in sentinel lymph node (SLN) metastases of MCC, indicating that SOX11 is superior to CK20 for detecting tumor deposits in SLNs in MCC. Our findings indicate that SOX11 not only is a powerful marker for distinguishing MCCs from PSmCCs, especially when used in conjunction with CK20 and TTF1, but also has utility for screening SLNs in MCC.

Improving differential diagnosis of pulmonary large cell neuroendocrine carcinoma and small cell lung cancer via a transcriptomic, biological pathway-based machine learning model

BackgroundAccurately differentiating between pulmonary large cell neuroendocrine carcinomas (LCNEC) and small cell lung cancer (SCLC) is crucial to make appropriate therapeutic decisions. Here, a classifier was constructed based on transcriptome data to improve the diagnostic accuracy for LCNEC and SCLC. Methods13,959 genes mapped to 186 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were included. Gene Set Variation Analysis (GSVA) algorithm was used to enrich and score each KEGG pathway from RNA-sequencing data of each sample. A prediction model based on GSVA score was constructed and trained via ridge regression based on RNA-sequencing datasets from 3 published studies. It was validated by another independent RNA-sequencing dataset. Clinical feasibility was tested by comparing model predicated result using RNA-sequencing data derived from hard-to-diagnose samples of lung neuroendocrine cancer to conventional histology-based diagnosis. ResultsThis model achieved a ROC-AUC of 0.949 and a concordance rate of 0.75 for the entire prediction efficiency. Of the 27 borderline samples, 17/27 (63.0%) were predicted as LCNEC, 7/27 were predicted as SCLC, and the remainder was NSCLC. Only 8 cases (29.6%) with LCNEC were diagnosed by pathologists, which was significantly lower than the results predicted by the model. Furthermore, cases with predicted LCNEC by the model had a significant longer disease-free survival than those where the model predicted SCLC (P = 0.0043). ConclusionThis model was able to give an accurate prediction of LCNEC and SCLC. It may assist clinicians to make the optimal decision for patients with pulmonary neuroendocrine tumors in choosing appropriate treatment.

Clinical performance of a novel chemiluminescent enzyme immunoassay for FGF23.

Measurement of fibroblast growth factor 23 (FGF23) has been reported to be clinically useful for the differential diagnosis of chronic hypophosphatemia. However, assays for research use only are available in Japan. Thus, the objective of this study was to examine the clinical utility of a novel and automated chemiluminescent enzyme immunoassay for the measurement of FGF23. Participants were recruited from July 2015 to January 2017 at six facilities in Japan. Thirty-eight patients with X-linked hypophosphatemic rickets (XLH 15 males, 23 females, age 0-66years), five patients with tumour-induced osteomalacia (TIO 3 males, 2 females, age 60-73years), and twenty-two patients with hypophosphatemia (11 males, 11 females, age 1-75years) caused due to other factors participated in this study. With the clinical cut-off value of FGF23 at 30.0pg/mL indicated in the Diagnostic Guideline of Rickets/Osteomalacia in Japan, the sensitivity and specificity of FGF23-related hypophosphatemic rickets/osteomalacia without vitamin D deficiency (disease group-1) were 100% and 81.8%, respectively, which distinguished it from non-FGF23-related hypophosphatemia (disease group-2). Furthermore, the diagnostic sensitivity of FGF23-related hypophosphatemia with vitamin D deficiency remained at 100%. Among the four patients with FGF23 levels ≥ 30.0pg/mL in disease group-2, two patients with relatively higher FGF23 values were suspected to have genuine FGF23-related hypophosphatemia, due to the ectopic production of FGF23 in pulmonary and prostate small cell carcinomas. The novel FGF23 assay tested in this study is useful for the differential diagnosis of hypophosphatemic rickets/osteomalacia in a clinical setting.

Protein neddylation as a therapeutic target in pulmonary and extrapulmonary small cell carcinomas.

Small cell lung carcinoma (SCLC) is among the most lethal of all solid tumor malignancies. In an effort to identify novel therapeutic approaches for this recalcitrant cancer type, we applied genome-scale CRISPR/Cas9 inactivation screens to cell lines that we derived from a murine model of SCLC. SCLC cells were particularly sensitive to the deletion of NEDD8 and other neddylation pathway genes. Genetic suppression or pharmacological inhibition of this pathway using MLN4924 caused cell death not only in mouse SCLC cell lines but also in patient-derived xenograft (PDX) models of pulmonary and extrapulmonary small cell carcinoma treated ex vivo or in vivo. A subset of PDX models were exceptionally sensitive to neddylation inhibition. Neddylation inhibition suppressed expression of major regulators of neuroendocrine cell state such as INSM1 and ASCL1, which a subset of SCLC rely upon for cell proliferation and survival. To identify potential mechanisms of resistance to neddylation inhibition, we performed a genome-scale CRISPR/Cas9 suppressor screen. Deletion of components of the COP9 signalosome strongly mitigated the effects of neddylation inhibition in small cell carcinoma, including the ability of MLN4924 to suppress neuroendocrine transcriptional program expression. This work identifies neddylation as a regulator of neuroendocrine cell state and potential therapeutic target for small cell carcinomas.

Improving differential diagnosis of pulmonary large cell neuroendocrine carcinoma (LCNEC) and small cell lung cancer via a transcriptomic, biological pathway-based ridge regression model.

3065 Background: In clinics, it can be challenging to make correct diagnosis of LCNEC, Small cell lung cancer (SCLC), if tissues, like needle biopsies, are insufficient or morphology was poorly preserved. In this study, a reliable classifier was constructed based on transcriptome data and machine learning (Ridge regression) to improve the diagnostic accuracy for LCNEC and SCLC. Methods: RNA-Seq data obtained from 3 public cohorts were collected as training set, including 60 NSCLC cases from The Cancer Genome Atlas (TCGA), 66 LCNEC cases from Julie George et al., Nature Communications 2018, and 33 SCLC cases from Julie George et al., Nature 2015. Another 80 NSCLC, 30 LCNEC and 15 SCLC cases published by Martin Peifer et al., Nature Genetics 2012 were used as validation set. Additionally, RNA-Seq data of 27 borderline samples which were hard to make diagnosis based on histology and Immunohistochemistry were used to test the accuracy of the prediction model. Results: 13,959 genes mapped to 186 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were included. Gene Set Variation Analysis (GSVA) algorithm was used to enrich and score each KEGG pathway. A prediction model based on GSVA score of each pathway was constructed via Ridge regression. This GSVA Score Model achieved ROC-AUC 0.949 and concordant rate of 0.75 for the entire prediction efficiency. Of the 27 borderline samples which were hard to make confirmed diagnosis, 17/27 (63.0%) were predicted as LCNEC, 7/27 were predicted as SCLC, and the remainder were predicted as NSCLC. While only 8 (29.6%) cases with LCNEC were diagnosed by pathologists, which was significantly lower than the results predicted by the model. Furthermore, cases with model predicted LCNEC had a significant longer disease-free survival than that with model predicted SCLC (median DFS,59 months for LCNEC vs 5 months for SCLC, p = 0.0043), which was in parallel with currently known prognostic difference of these two types of neuroendocrine tumors. Conclusions: This GSVA algorithm-based prediction model was able to make accurate diagnosis of LCNEC and SCLC. And it may provide valuable information for clinics to choose optimal therapeutic approach for patients with pulmonary neuroendocrine tumors.[Table: see text]

Cell-autonomous immune gene expression is repressed in pulmonary neuroendocrine cells and small cell lung cancer

Small cell lung cancer (SCLC) is classified as a high-grade neuroendocrine (NE) tumor, but a subset of SCLC has been termed “variant” due to the loss of NE characteristics. In this study, we computed NE scores for patient-derived SCLC cell lines and xenografts, as well as human tumors. We aligned NE properties with transcription factor-defined molecular subtypes. Then we investigated the different immune phenotypes associated with high and low NE scores. We found repression of immune response genes as a shared feature between classic SCLC and pulmonary neuroendocrine cells of the healthy lung. With loss of NE fate, variant SCLC tumors regain cell-autonomous immune gene expression and exhibit higher tumor-immune interactions. Pan-cancer analysis revealed this NE lineage-specific immune phenotype in other cancers. Additionally, we observed MHC I re-expression in SCLC upon development of chemoresistance. These findings may help guide the design of treatment regimens in SCLC.

P38.17 Pulmonary Small Cell Carcinoma with Rhabdomyoblastic Differentiation: A Previously Unreported Occurrence

While various types of specific heterologous mesenchymal differentiation occur in pulmonary carcinoma, rhabdomyoblastic differentiation has not been previously reported in association with pulmonary small cell carcinoma.

Neuroendocrine Carcinoma in 2 Cases of Rare Primary Small Cell Carcinoma of the Breast and its Literature Review

Primary Small Cell Neuroendocrine Carcinoma of the Breast (SCNCB) is rare and invasive, which lacks a standard therapy. Small cell carcinoma is a subtype of Small Cell Neuroendocrine Carcinoma (SCNC) and common in lung. It is difficult to distinguish small cell carcinoma in breast from which in the lung. Therefore, a whole-body scan is necessary to rule out metastasis from the Extra pulmonary Small Cell Carcinoma (EPSCC). This article reports two patients with SCNCB and reviews relevant literature to comprehensively discuss the diagnosis and management of this disease in these two cases.

Genomic and transcriptomic profiles of gynecologic neuroendocrine carcinoma are distinct from pulmonary neuroendocrine small cell carcinoma.

6093 Background: High-grade neuroendocrine carcinoma (NEC) of the cervix and other gynecologic origins are rare and aggressive cancers that unfortunately affect young women with high mortality. Treatment recommendations are often extrapolated from their counterpart, small cell carcinoma of the lung (SCLC). In the present study, we have performed comprehensive genomic and transcriptomic analyses in a cohort of patients with NEC of the cervix and other gynecologic origins and compared them to SCLC. Methods: We have identified 27 patients diagnosed with NEC of gynecologic origin from 1998-2019. Of them, we were able to obtain archival tissue from 14 patients (17 samples), including seven cervical NEC, three ovarian NEC, and two endometrial NEC. Two ovarian and one cervical patient have recurrent tumors. Whole exome sequencing (WES) and RNA-seq were successfully performed in 14 and 13 samples, respectively. BWA-MEM was used for mapping (hg38), and GATK Haplotype Caller was used for WES analysis. Ensemble-VEP was used for variant annotation, and SIFT and PolyPhen-2 were used for pathogenic prediction of missense mutations. Stranded pair-end RNA-seq data were analyzed using STAR and DESeq2. SCLC data from cBioPortal and EBI (accession number EGAS00001000334) were used to compare mutation and transcriptomic profiles. Results: We found that TP53 is not mutated in our cohort, and RB1 is mutated only in 1 (7%) tumor. TP53 and RB1 are the most frequently mutated genes in small cell lung carcinoma. However, LRP1B, the third most mutated gene in SCLC was also mutated in 4 (29%) tumors. We observed that WNT, RTK-RAS, NOTCH, and MYC are among the top mutated pathways in our cohort. Among the top 20 mutated genes, only four genes, MUC4, KMT2C, MAP3K1, and HLA-A, were common in cervical, ovarian, and endometrial tumors suggesting a high diversity within the NEC of gynecologic origin. Our RNA-seq analysis revealed a distinct transcriptional signature when compared to SCLC, especially the expression pattern of SCLC molecular subtypes defining ASCL1, NEUROD1, POU3F2, and YAP1 genes. Surprisingly, we observed a high expression of the YAP1 gene in all of the 13 tumors. However, the YAP1+ subtype represents a minority in SCLC and known to predict chemotherapy resistance and lower survival. Conclusions: Our results suggest a unique mutational profile and transcriptional signature that are distinct compared to SCLC tumors. Therefore, there is an urgent need to re-evaluate the therapeutic options and targets for NEC of gynecologic origin.

Pulmonary small cell carcinoma: Review, common and uncommon differentials, genomics and management

Lung cancer is the leading cause of cancer-related death worldwide. It is divided into sub-categories based upon morphology, immunostaining pattern, biology, molecular profile, and/or treatment options. Up until the early 2000s when driver mutations with targeted therapies were identified in a subset of adenocarcinomas, the most critical distinction of lung carcinomas was driven by differences in treatment between small cell carcinoma (SCC) and nonsmall cell lung carcinoma (NSCLC). The distinction between SCC and NSCLC remains critical in the 21st century for management, especially for advanced stage cancer. In the vast majority of cases, morphological features are sufficient to separate SCC from other types of lung cancers. In some instances, however, cytomorphological features and immunohistochemical overlap with other tumors, limited sample availability, and/or crush artifact pose diagnostic challenges. The aim of this review is to highlight salient features of SCC and ancillary studies to distinguish it from common and uncommon potential mimickers, as well as provide updates in genomics and management.

Extrapulmonary small cell carcinoma: Prognostic factors, patterns of care, and overall survival

BackgroundExtrapulmonary small cell carcinoma is a rare malignancy with scarce data. Treatment paradigms extrapolate from pulmonary small cell carcinoma and single institution studies. We analyzed the epidemiology, patterns of care, prognostic factors, and overall survival (OS) of EPSCC patients. MethodsThe cohort included EPSCC. Patients with <2 months follow-up, unknown demographic/treatment variables were excluded. Descriptive statistics were performed to characterize the cohort. Kaplan-Meier methods were used to estimate OS. Cox proportional hazard modeling was done to analyze the influence of prognostic variables on OS. Results5747 patients were included. Median OS was 1.2 years. Head and neck (HR: 0.60, 95% CI 0.53-0.67, p < 0.0001) and breast (HR: 0.69, 95% CI 0.53-0.89, p = .0046) were associated with improved OS; gastrointestinal (HR: 1.19, 95% CI 1.09–1.29, p < .0001) worse OS; and gynecologic (HR: 1.04, 95% CI 0.92–1.17, p = .5660) showing no difference, all compared to genitourinary (reference). Surgery was associated with improved overall survival (HR: 0.84, 95% CI 0.79-0.91, p=<.0001). Chemoradiation showed a decreased HR (HR: 0.91, 95% CI 0.83-0.99, p = .0363) when compared to chemotherapy alone (reference). ConclusionEPSCC occurs throughout the body with poor survival. Anatomic subsite was predictive for survival. Surgical resection may improve survival. Concurrent chemoradiation appears to improve survival over chemotherapy alone.

Morphometric and immunohistochemical features of TTF-1 positive lung tumors: improvement of approaches to the diagnosis of unknown primary sites metastases

Verification of lung tumors in the practical activity of a pathomorphologist reached a completely different level due to the use of additional highly sensitive diagnostic methods (immunohistochemical (IHC) and cytogenetic studies). Thyroid transcription factor 1 (TTF-1) plays a key role in lung morphogenesis and is expressed in about 90 % of pulmonary small cell carcinomas. The positivity of TTF-1 in pulmonary and extrapulmonary neuroendocrine tumors is actively debated in the literature, therefore, the results of IHС on TTF-1 in metastases from an unknown source should be interpreted carefully and constantly improve differential diagnostic algorithms, expanding IHC panels with organ-specific markers, and focus on additional morphometric indicators research of nuclei of tumor cells.The aim of the work is to investigate the complex of morphological, morphometric, and IHC characteristics of TTF-1 positive lung tumors to improve the diagnostic algorithms for metastases from an unknown primary source.Materials and methods. A retrospective analysis of histological, morphometric and IHC characteristics of the biopsy material TTF-1 of positive lung carcinomas from 36 patients (10 women and 26 men) aged 29 to 81 years (mean 58.03±10.83 years) for the period 2015–2018, taken from the archive of the morphological department of the medical-diagnostic center of LLC “Pharmacies of the Medical Academy” (Ukraine, Dnipro).Results. In the diagnosis of carcinomas of unknown primary localization with suspected lung origin, it is necessary to take into account morphological, morphometric and IHC features together, which is associated with the similarity of metastases of squamous cell carcinomas of the head and neck, mucinous adenocarcinomas of the gastrointestinal tract and neuroendocrine carcinomas from Merkel cells corresponding to the histological forms lung tumors, as well as insufficient sensitivity of the marker TTF-1.Conclusions. Use of the minimum primary (Cytokeratin, Pan AE1 / AE3 (+) / Vimentin (- / +) / CD45 (-) / S100 (- / +)) and secondary (Ck 7 +, Ck 20 -, TTF-1 + ) IHC panels will prove that the phenotype of carcinoma of unknown primary site corresponds to the form of disseminated lung carcinoma, and additional markers Сk HMW, p63, Chromogranin A, Synaptofisin and / or CD56 together with morphometric indices of the nuclei will determine the histological form of lung carcinoma with justification for the use of appropriate therapy

Cytomorphologic features of small cell carcinoma of lung in effusion fluid using a liquid‐based cytology technique

Liquid-based cytology (LBC) testing induces morphologic changes due to the use of specific fixatives and preparation techniques, and the cytologies of effusions determined in this manner differ morphologically from those of conventional cytopreparation (CCP) smear methods. We compared the cytologic features of pulmonary small cell carcinoma in effusion fluid using CCP and LBC preparations. Fifty-three malignant effusion specimens from 36 patients with small cell carcinoma were examined, including 41 LBCs from 27 patients and 12 CCPs from 9 patients. LBC and CCP preparations preserved the typical features of small cell carcinoma, that is, nuclear molding, very high nuclear to cytoplasmic ratio and granular chromatin. The architectural patterns involved small cohesive clusters and chains with nuclear molding, tight three-dimensional clusters, or single cell dispersion were preserved in both preparations. Oval nuclei (83.3% vs 26.8%, P < .001) and a discernable rim of cytoplasm (66.7% vs 26.8%, P = .043) were more frequently identified in CCPs, whereas cellular degeneration and dry artifact were more frequent in LBC preparations (73.2% vs 8.3%, P < .001). LBC had a tendency to show frequent nuclear size variation (51.2% vs 25.0%) than CCP. LBC tends to show more degeneration and dry artifact with exaggerated irregular nuclear shape and nuclear size variation and scanty cytoplasm than CCP. Cytopathologists should be familiar with the cytomorphologic spectrum of this tumor in CCP and LBC prepared effusions.