Distinctive histological variants of lung cancer are increasingly recognized to have specific genetic changes that affect tumor biology and response to therapy. In this study, we evaluated true ...papillary adenocarcinoma of the lung, proposed as a distinct diagnostic category with relatively poor response to therapy, to determine whether these tumors also have specific molecular alterations that would affect sensitivity to chemotherapy. Specifically, we measured protein levels of P53, excision repair cross-complementation 1 (ERCC1) and ribonucleotide reductase M1 (RRM1) by immunohistochemistry and evaluated the Kelch-like erythroid cell-derived protein with cap-n-collar homology (ECH)-associated protein 1 (KEAP1) gene for mutations, correlating mutations of this gene with total and nuclear expression of the nuclear factor erythroid-2-related factor 2 (NRF2). We found high levels of P53 in 23 of the 55 specimens (41.8%), similar to the rate of P53 gene mutations observed in general for pulmonary adenocarcinoma, and levels of ERCC1 and RRM1 also showed distributions similar to those reported generally for non-small lung cell cancer (NSCLC). However, KEAP1 alterations were observed at a significantly higher frequency in papillary adenocarcinoma tumors (60%) than what has been reported previously for NSCLC (3-19%). These mutations of KEAP1 were associated with increased nuclear accumulation of NRF2 in tumors, as expected for functional alterations. Thus, high rates of KEAP1 mutations and NRF2 overexpression in true papillary adenocarcinoma could be related to poor prognosis and chemotherapy resistance. Furthermore, this distinctive molecular characteristic supports the recognition of true papillary adenocarcinoma as a diagnostic entity.
Summary In lung cancer, targeted therapies depend on accurate histological subclassification of the tumor. The majority of lung cancers can be subclassified based on hematoxylin and eosin staining; ...however, classification may be difficult in small biopsies. In this study, we investigated the utility of a newly developed triple marker (combination of TTF1/Napsin A/p40) and compared the sensitivity and specificity of this novel marker with individual markers in the subclassification of non–small cell lung carcinomas. Lung cancer tissue microarrays were constructed using surgical resection material from the Johns Hopkins Hospital. They included 77 adenocarcinomas (ADCs), 77 squamous cell carcinomas (SqCCs), and 46 cases of metastatic lung ADCs. Immunostaining patterns of all markers were scored semi-quantitatively and compared. In ADCs, the sensitivity and specificity of the triple marker were 93.5% and 77.5%, respectively. The sensitivity and specificity of TTF1 and Napsin A were 85.7% and 75.0%, and 89.6% and 90.0%. In SqCCs, the sensitivity and specificity of the triple marker were 88.3% and 92.5%, while the p40, p63 and CK5/6 showed 80.5% and 90.0%; 93.5% and 80.0%; and 89.6% and 80.0%. In addition, the sensitivity and specificity of the triple marker in metastatic ADCs showed 71.7% and 73.5%, respectively. Our triple marker (combination of TTF1/Napsin A/p40) showed a similar sensitivity and specificity for the subclassification of NSCLC when compared to individual markers. Our study not only demonstrates a useful combination of immunomarkers but also optimally conserves tissue for molecular marker testing.
Summary Personalized treatment of lung cancer requires an accurate subclassification of non-small cell lung carcinoma (NSCLC) into adenocarcinoma (ADC), squamous cell carcinoma (SqCC) and other ...subtypes. In poorly differentiated tumors especially on small fine needle aspirate (FNA) specimens the subclassification could be difficult in certain cases. Our previous study using resected tumor tissue has shown that the combination of commonly used individual markers (TTF-1, P40 and Napsin A) into a novel triple marker has high sensitivity and specificity in subclassification of NSCLC, and also the advantage of using minimal tumor tissue. In this study, we further evaluated the utility of this novel triple marker using FNA cases. We included primary NSCLC, consisting of 37 SqCCs (primary = 35 and metastasis = 2) and 50 ADCs (primary = 29 and metastasis = 21), 12 metastatic ADCs of non-pulmonary primary, and 10 small cell lung carcinomas (SCLCs). The IHC patterns were semi-quantitatively scored. In lung SqCCs and ADCs, the sensitivity and specificity of the triple marker were 100% and 97.1%, and 86.0% and 100%, respectively. The triple marker showed no immunoreactivity in 12 metastatic non-pulmonary ADCs. In 10 SCLCs, TTF-1 had focal positivity in 40% cases. The limitations of the triple marker include staining of alveolar macrophages (by TTF-1 and Napsin A), basal layer of bronchial epithelial cells (by P40), and non-specific cytoplasmic staining of TTF-1. Our study not only supports our previous finding using resected tumor specimens, but also provides evidence that the triple marker can be used for cytological material, and preserving tumor tissue for molecular testing.
Periostin is an important extracellular matrix protein involved in cell development and adhesion. Previously, we identified periostin to be up-regulated in aggressive prostate cancer (CaP) using ...quantitative glycoproteomics and mass spectrometry. The expression of periostin was further evaluated in primary radical prostatectomy (RP) prostate tumors and adjacent non-tumorous prostate tissues using immunohistochemistry (IHC). Our IHC results revealed a low background periostin levels in the adjacent non-tumorous prostate tissues, but overexpressed periostin levels in the peritumoral stroma of primary CaP tumors.
In this study, periostin expression in CaP was further examined on multiple tissue microarrays (TMAs), which were conducted in four laboratories. To achieve consistent staining, all TMAs were stained with same protocol and scored by same image computation tool to determine the total periostin staining intensities. The TMAs were further scored by pathologists to characterize the stromal staining and epithelial staining.
The periostin staining was observed mainly in peritumoral stromal cells and in some cases in tumor epithelial cells though the stronger staining was found in peritumoral stromal cells. Both periostin stromal staining and epithelial staining can differentiate BPH from CaP including low grade CaP (Gleason score ≤6), with significant p-value of 2.2e-16 and 0.001, respectively. Periostin epithelial staining differentiated PIN from low grade CaP (Gleason score ≤6) (p=0.001), while periostin stromal staining differentiated low grade Cap (Gleason score ≤6) from high grade Cap (Gleason score ≤6) (p=1.7e-05). In addition, a positive correlation between total periostin staining and Gleason score was observed (r=0.87, p=0.002).
The results showed that periostin staining was positively correlated with increasing Gleason score and the aggressiveness of prostate disease.
Prostate cancer (PCa) is a heterogeneous group of tumors with variable clinical courses. In order to improve patient outcomes, it is critical to clinically separate aggressive PCa (AG) from ...non-aggressive PCa (NAG). Although recent genomic studies have identified a spectrum of molecular abnormalities associated with aggressive PCa, it is still challenging to separate AG from NAG. To better understand the functional consequences of PCa progression and the unique features of the AG subtype, we studied the proteomic signatures of primary AG, NAG and metastatic PCa. 39 PCa and 10 benign prostate controls in a discovery cohort and 57 PCa in a validation cohort were analyzed using a data-independent acquisition (DIA) SWATH-MS platform. Proteins with the highest variances (top 500 proteins) were annotated for the pathway enrichment analysis. Functional analysis of differentially expressed proteins in NAG and AG was performed. Data was further validated using a validation cohort; and was also compared with a TCGA mRNA expression dataset and confirmed by immunohistochemistry (IHC) using PCa tissue microarray (TMA). 4,415 proteins were identified in the tumor and benign control tissues, including 158 up-regulated and 116 down-regulated proteins in AG tumors. A functional analysis of tumor-associated proteins revealed reduced expressions of several proteinases, including dipeptidyl peptidase 4 (DPP4), carboxypeptidase E (CPE) and prostate specific antigen (KLK3) in AG and metastatic PCa. A targeted analysis further identified that the reduced expression of DPP4 was associated with the accumulation of DPP4 substrates and the reduced ratio of DPP4 cleaved peptide to intact substrate peptide. Findings were further validated using an independently-collected tumor cohort, correlated with a TCGA mRNA dataset, and confirmed by immunohistochemical stains of PCa tumor microarray (TMA). Our study is the first large-scale proteomics analysis of PCa tissue using a DIA SWATH-MS platform. It provides not only an interrogative proteomic signature of PCa subtypes, but also indicates the critical roles played by certain proteinases during tumor progression. The spectrum map and protein profile generated in the study can be used to investigate potential biological mechanisms involved in PCa and for the development of a clinical assay to distinguish aggressive from indolent PCa.
BackgroundDespite treatment advancements with immunotherapy, our understanding of response relies on tissue-based, static tumor features such as tumor mutation burden (TMB) and programmed ...death-ligand 1 (PD-L1) expression. These approaches are limited in capturing the plasticity of tumor–immune system interactions under selective pressure of immune checkpoint blockade and predicting therapeutic response and long-term outcomes. Here, we investigate the relationship between serial assessment of peripheral blood cell counts and tumor burden dynamics in the context of an evolving tumor ecosystem during immune checkpoint blockade.MethodsUsing machine learning, we integrated dynamics in peripheral blood immune cell subsets, including neutrophil-lymphocyte ratio (NLR), from 239 patients with metastatic non-small cell lung cancer (NSCLC) and predicted clinical outcome with immune checkpoint blockade. We then sought to interpret NLR dynamics in the context of transcriptomic and T cell repertoire trajectories for 26 patients with early stage NSCLC who received neoadjuvant immune checkpoint blockade. We further determined the relationship between NLR dynamics, pathologic response and circulating tumor DNA (ctDNA) clearance.ResultsIntegrated dynamics of peripheral blood cell counts, predominantly NLR dynamics and changes in eosinophil levels, predicted clinical outcome, outperforming both TMB and PD-L1 expression. As early changes in NLR were a key predictor of response, we linked NLR dynamics with serial RNA sequencing deconvolution and T cell receptor sequencing to investigate differential tumor microenvironment reshaping during therapy for patients with reduction in peripheral NLR. Reductions in NLR were associated with induction of interferon-γ responses driving the expression of antigen presentation and proinflammatory gene sets coupled with reshaping of the intratumoral T cell repertoire. In addition, NLR dynamics reflected tumor regression assessed by pathological responses and complemented ctDNA kinetics in predicting long-term outcome. Elevated peripheral eosinophil levels during immune checkpoint blockade were correlated with therapeutic response in both metastatic and early stage cohorts.ConclusionsOur findings suggest that early dynamics in peripheral blood immune cell subsets reflect changes in the tumor microenvironment and capture antitumor immune responses, ultimately reflecting clinical outcomes with immune checkpoint blockade.
Non-small cell lung carcinoma (NSCLC) remains the leading cause of cancer deaths in the United States. More than half of NSCLC patients have clinical presentations with locally advanced or metastatic ...disease at the time of diagnosis. The large-scale genomic analysis of NSCLC has demonstrated that molecular alterations are substantially different between adenocarcinoma (ADC) and squamous cell carcinoma (SqCC). However, a comprehensive analysis of proteins and glycoproteins in different subtypes of NSCLC using advanced proteomic approaches has not yet been conducted.
We applied mass spectrometry (MS) technology featuring proteomics and glycoproteomics to analyze six primary lung SqCCs and eleven ADCs, and we compared the expression level of proteins and glycoproteins in tumors using quantitative proteomics. Glycoproteins were analyzed by enrichment using a chemoenzymatic method, solid-phase extraction of glycopeptides, and quantified by iTRAQ-LC-MS/MS. Protein quantitation was further annotated via Ingenuity Pathway Analysis.
Over 6000 global proteins and 480 glycoproteins were quantitatively identified in both SqCC and ADC. ADC proteins (8337) consisted of enzymes (22.11%), kinases (5.11%), transcription factors (6.85%), transporters (6.79%), and peptidases (3.30%). SqCC proteins (6967) had a very similar distribution. The identified glycoproteins, in order of relative abundance, included membrane (42%) and extracellular matrix (>33%) glycoproteins. Oncogene-coded proteins (82) increased 1.5-fold among 1047 oncogenes identified in ADC, while 124 proteins from SqCC were up-regulated in tumor tissues among a total of 827 proteins. We identified 680 and 563 tumor suppressor genes from ADC and SqCC, respectively.
Our systematic analysis of proteins and glycoproteins demonstrates changes of protein and glycoprotein relative abundance in SqCC (TP53, U2AF1, and RXR) and in ADC (SMARCA4, NOTCH1, PTEN, and MST1). Among them, eleven glycoproteins were upregulated in both ADC and SqCC. Two glycoproteins (ELANE and IGFBP3) were only increased in SqCC, and six glycoproteins (ACAN, LAMC2, THBS1, LTBP1, PSAP and COL1A2) were increased in ADC. Ingenuity Pathway Analysis (IPA) showed that several crucial pathways were activated in SqCC and ADC tumor tissues.
Clinically, it is still challenging to differentiate aggressive from non-aggressive prostate cancers (Pca) by non-invasive approaches. Our recent studies showed that overexpression of alpha (1-6) ...fucosyltransferase played an important role in Pca cells. In this study, we have investigated levels of glycoproteins and their fucosylated glycoforms in sera of Pca patients, as well as the potential utility of fucosylated glycoproteins in the identification of aggressive Pca.
Serum samples from histomorphology-proven Pca cases were included. Prostate-specific antigen (PSA), tissue inhibitor of metallopeptidase 1 (TIMP1) and tissue plasminogen activator (tPA), and their fucosylated glycoforms were captured by Aleuria Aurantia Lectin (AAL), followed by the multiplex magnetic bead-based immunoassay. The level of fucosylated glycoproteins was correlated with patients' Gleason score of the tumor.
Among three fucosylated glycoproteins, the fucosylated PSA was significantly increased and correlated with the tumor Gleason score (p<0.05). The ratio of fucosylated PSA showed a marked increase in aggressive tumors in comparison to non-aggressive tumors. ROC analysis also showed an improved predictive power of fucosylated PSA in the identification of aggressive Pca.
Our data demonstrated that fucosylated PSA has a better predictive power to differentiate aggressive tumors from non-aggressive tumors, than that of native PSA and two other glycoproteins. The fucosylated PSA has the potential to be used as a surrogate biomarker.
Proteomic characterization of cancers is essential for a comprehensive understanding of key molecular aberrations. However, proteomic profiling of a large cohort of cancer tissues is often limited by ...the conventional approaches.
We present a proteomic landscape of 16 major types of human cancer, based on the analysis of 126 treatment-naïve primary tumor tissues, 94 tumor-matched normal adjacent tissues, and 12 normal tissues, using mass spectrometry-based data-independent acquisition approach.
In our study, a total of 8527 proteins were mapped to brain, head and neck, breast, lung (both small cell and non-small cell lung cancers), esophagus, stomach, pancreas, liver, colon, kidney, bladder, prostate, uterus and ovary cancers, including 2458 tissue-enriched proteins. Our DIA-based proteomic approach has characterized major human cancers and identified universally expressed proteins as well as tissue-type-specific and cancer-type-specific proteins. In addition, 1139 therapeutic targetable proteins and 21 cancer/testis (CT) antigens were observed.
Our discoveries not only advance our understanding of human cancers, but also have implications for the design of future large-scale cancer proteomic studies to assist the development of diagnostic and/or therapeutic targets in multiple cancers.
With increased use of the ThinPrep method for nongynecologic specimens, cell blocks are more commonly prepared by harvesting cells that are fixed in CytoLyt solution. The current study compared ...morphologic and immunocytochemical performance of effusion cell blocks prepared using CytoLyt-prefixed thrombin clot (CTC) with plasma thrombin clot (PT) and HistoGel (HG) preparation. The study included a total of 25 malignant or benign serous fluids. Three individual cell block materials were simultaneously prepared from each of the 25 effusion specimens using the CTC, PT, or HG method. H&E staining and immunostaining for pancytokeratin (pan-CK), carcinoembryonic antigen (CEA), epithelial membrane antigen (EMA), B72.3, HBME-1, estrogen receptor (ER), progesterone receptor (PR), CD45, CD20, and CD3 were then performed. The CTC preparation revealed compatible cellularity and good cellular details. In addition, CTC cell blocks revealed a similar percentage of cells with positive immunostaining along with the strongest intensity and the least background staining. The CTC method can be used reliably as an adjunct to other preparation techniques.
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