Citations

Context.— Primary thoracic neoplasms are rare in children, whereas nonneoplastic mass lesions or cysts and metastases are more common, and there is a relative paucity of comprehensive histopathologic and molecular data. Objective.— To define the clinicopathologic spectrum of neoplastic and nonneoplastic diseases observed in resected mass lesions in the chest of pediatric patients, and to identify somatic alterations observed in primary neoplasms. Design.— Clinicopathologic features of thoracic mass lesions (n = 385) resected from 373 patients aged ≤21 years in a 25-year period (1993–2018) were included. Primary neoplasms having sufficient material were tested by a laboratory-developed comprehensive genomic profiling assay that assesses tumor mutational burden, microsatellite instability, somatic sequence variants, gene amplifications, fusions, and specific transcript variants. Results.— The most commonly resected space-occupying lesions were nonneoplastic mass lesions and cysts or malformations, resected in 117 (31.4%) and 58 of 373 patients (15.5%) respectively. Metastatic neoplasms were observed in 169 of 373 patients (45.3%; mean age 14.4 years, range 1–21 years); the most common was osteosarcoma (68 of 169; 40.2% of metastases). Primary lung neoplasms occurred in 24 of 373 patients (6.4%; mean age 14.5 years, range 6 months–21 years), and 16 patients had primary extrapulmonary thoracic tumors. Carcinoid tumor was the most common primary lung neoplasm (7 typical, 3 atypical). Molecular testing showed a prevalence of somatic pathogenic or likely pathogenic mutations and copy-number alterations. No fusions or splice variants were identified. Tumors were microsatellite-stable with low tumor mutational burden. Conclusions.— Resected pediatric thoracic mass lesions are more likely to be metastatic lesions, congenital cysts or malformations, or nonneoplastic lesions compared to primary thoracic neoplasms, which are encountered at a low frequency and tend to have relatively simple genetic profiles.

Abstract Objectives Differentiating malignant pleural mesothelioma from benign reactive mesothelial processes can be quite challenging. Ancillary tests such as BRCA1-associated protein 1 (BAP1) immunohistochemistry and p16 fluorescence in situ hybridization (FISH) are helpful tools to aid in this distinction. Immunohistochemistry for methylthioadenosine phosphorylase (MTAP) has recently been proposed as an effective surrogate marker for p16 FISH and is an attractive alternative test due to shorter turnaround time. There are little data regarding the specificity of MTAP loss for mesothelioma or whether it may be useful to distinguish mesothelioma from the most common entity in the differential diagnosis, sarcomatoid carcinoma. Methods We studied well-characterized cases of sarcomatoid carcinoma (n = 34) and sarcomatoid mesothelioma (n = 62), which were stained for MTAP (clone 2G4) and BAP1 (clone C-4). Results Loss of MTAP expression was observed in 17 (50%) of 34 pulmonary sarcomatoid carcinomas; BAP1 expression was retained in all of the cases in which it was performed (n = 31). MTAP expression was lost in 38 (61%) of 62 sarcomatoid mesotheliomas; BAP1 was lost in 6 (10%) of 62. In the six cases with BAP1 loss, five also had loss of MTAP, while MTAP expression was retained in one. Conclusions Loss of MTAP expression by immunohistochemistry is common in pulmonary sarcomatoid carcinoma, as it is present in half of cases. This rate is similar to what is observed in sarcomatoid mesothelioma (61%). Therefore, this stain is not useful to distinguish between these two malignancies. MTAP loss is more common than BAP1 loss in the setting of sarcomatoid mesothelioma (61% vs 10%, respectively).

Abstract Objectives To evaluate SATB2 expression and prognostic implications in a large cohort of thoracic neuroendocrine tumors. Methods Surgical pathology files (1995-2017) and an institutional thymic epithelial tumor database (2010-2020) were searched for resected neuroendocrine tumors. Cases were stained with SATB2 (clone EP281). Percent SATB2-positive tumor cells and expression intensity were scored. Results In the lung, SATB2 was expressed in 5% or more of tumor cells in 29 (74.4%) of 39 small cell carcinomas and 9 (22.5%) of 40 atypical and 26 (40.6%) of 64 typical carcinoid tumors. SATB2 percent tumor cell expression and intensity were higher in small cell carcinomas than in carcinoid tumors (both P < .001, respectively). After adjusting for tumor subtype, SATB2 expression did not correlate with outcome. In the thymus, four (100%) of four atypical carcinoid tumors and one large cell neuroendocrine carcinoma but no small cell carcinoma (n = 2) expressed SATB2 in 5% or more of tumor cells. Conclusions SATB2 (clone EP281) is expressed in a large subset of pulmonary and thymic neuroendocrine tumors and therefore does not appear to be a useful marker to identify the origin of neuroendocrine tumors. Validation studies are needed, specifically including thymic neuroendocrine tumors, as the expression pattern might be different in those tumors.

Context.— Distinguishing pulmonary sarcomatoid carcinoma from pleural sarcomatoid mesothelioma is challenging because of overlapping histology, immunophenotype, and clinical features. Reliable immunohistochemical markers to aid in this distinction would be very valuable. Recent studies have proposed that MUC4 expression is common in sarcomatoid carcinoma but not in sarcomatoid mesothelioma, with the converse pattern reported for GATA3. Objective.— To further explore the utility of MUC4 and GATA3 in distinguishing pulmonary sarcomatoid carcinoma from sarcomatoid mesothelioma. Design.— Well-characterized cases of sarcomatoid carcinoma (n = 32) and sarcomatoid mesothelioma (n = 64) were included. Diagnoses were confirmed by thoracic pathologists with incorporation of immunophenotype, clinical, and radiographic features. Whole-tissue sections were stained for GATA3 and MUC4. Results.— Patients with sarcomatoid carcinoma and sarcomatoid mesothelioma had similar mean age and male predominance. GATA3 was positive in 63 of 64 sarcomatoid mesotheliomas (98%; 42 diffuse, 16 patchy, 5 focal), and 15 of 32 sarcomatoid carcinomas (47%; 3 diffuse, 8 patchy, 4 focal). MUC4 was positive in 2 of 64 sarcomatoid mesotheliomas (3%; 1 patchy, 1 focal), and in 12 of 32 sarcomatoid carcinomas (38%; 5 diffuse, 6 patchy, 1 focal). Conclusions.— Diffuse GATA3 expression favors sarcomatoid mesothelioma over sarcomatoid carcinoma, which rarely shows diffuse expression (sensitivity and specificity of diffuse staining 66% and 94%, respectively). Focal and patchy GATA3 expression is observed in both tumor types, and therefore is not helpful in this distinction. Sensitivity of MUC4 for sarcomatoid carcinoma was low in our cohort, positive in only 38% with frequent patchy staining, but it was quite specific.

Context.— Pulmonary carcinoids are classified as typical or atypical by assessing necrosis and mitoses, which usually cannot be adequately assessed on small biopsies. Ki-67 is not currently used to grade pulmonary carcinoids, but it may be helpful to determine preliminary grade in biopsies. However, the rate at which Ki-67 could underestimate or overestimate grade on small biopsies has not been well studied. Objective.— To compare Ki-67 labeling obtained on small biopsies to subsequent resection. Design.— Ki-67 was performed on paired biopsy and resection specimens from 55 patients. Slides were scanned using Aperio ScanScope. Labeling index was determined using automated hot spot and tumor tracing methods. Results.— The study included 41 typical and 14 atypical carcinoids. Atypical carcinoids were larger and had more distant metastases. Death from disease occurred in 3 patients (all had atypical carcinoids). Median hot spot Ki-67 labeling index was greater in resection compared with biopsy by 0.7% (P = .02). Median tumor tracing Ki-67 was lower in resection compared with biopsy by 0.5% (P < .001). Receiver-operating characteristic analysis showed similar hot spot Ki-67 cutoffs to predict atypical histology (3.5% for biopsy, 3.6% for resection; area under the curve [AUC], 0.75 and 0.74, respectively). Different optimal cutoffs were needed for tracing method based on biopsy (2.1%; AUC, 0.75) compared with resection (1.0%; AUC, 0.67). Conclusions.— Hot spot Ki-67 tends to underestimate grade on small biopsies, whereas grade is overestimated by tumor tracing. Hot spot Ki-67 cutoff of 3.5% predicted atypical histology for both biopsy and resection. Different biopsy and resection cutoffs were necessary for tumor tracing, which would make clinical implementation more difficult.

Abstract Introduction: While most small cell lung cancer (SCLC) patients die within a few months, a sub-group of patients survive for many years. Factors determining long-term survivorship remain largely unknown. We present the first comprehensive comparative genomic and tumor microenvironment analyses of small cell lung cancer (SCLC) between patients with long term (LTS) and expected (EXS) survival times. Methods: We compared surgically resected tumors of 23 LTS (survival > 4 years) and 18 EXS (survival ≤ 2 years). There were no differences in clinical variables including TNM staging and curative versus non-curative intend surgery between the groups. Gene expression profiling was performed by microarrays and tumor microenvironment analyses were by IHC of prominent immune related markers. Results: Immune related genes and pathways represented the majority of the differentially overexpressed genes in LTS compared to the EXS. The differences in the immunological tumor-microenvironment were confirmed by quantitative immuno-staining. Increased numbers of tumor infiltrating and associated lymphocytes were present throughout tumors of LTS. Several differentiating patterns of enhanced anti-tumor immunity were identified. While some areas of LTS tumors also harbored higher numbers of suppressive immune cells (monocytes, regulatory lymphocytes, and macrophages), ratios of these suppressive cells to CD3+ lymphocytes were generally lower in LTS tumors indicating a more tumor suppressive microenvironment. Conclusions: Our data demonstrate that long-term survivorship of SCLC patients is strongly influenced by the presence of anti-tumor immune cells in the tumor microenvironment. Characterization of the anti-tumor immune responses may identify opportunities for individualized immunotherapies for SCLC. Citation Format: Farhad Kosari, Prasuna Muppa, Simone Terra, Anurag Sharma, Aaron Mansfield, Marie Christine Aubry, Nafiseh Janaki, Aqsa Nasir, Tobias Peikert. Anti-tumor immunity is a key determinant of small cell lung cancer survivorship [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4577.