Although it has long been appreciated that ovarian carcinoma subtypes (serous, clear cell, endometrioid, and mucinous) are associated with different natural histories, most ovarian carcinoma ...biomarker studies and current treatment protocols for women with this disease are not subtype specific. With the emergence of high-throughput molecular techniques, distinct pathogenetic pathways have been identified in these subtypes. We examined variation in biomarker expression rates between subtypes, and how this influences correlations between biomarker expression and stage at diagnosis or prognosis.
In this retrospective study we assessed the protein expression of 21 candidate tissue-based biomarkers (CA125, CRABP-II, EpCam, ER, F-Spondin, HE4, IGF2, K-Cadherin, Ki-67, KISS1, Matriptase, Mesothelin, MIF, MMP7, p21, p53, PAX8, PR, SLPI, TROP2, WT1) in a population-based cohort of 500 ovarian carcinomas that was collected over the period from 1984 to 2000. The expression of 20 of the 21 biomarkers differs significantly between subtypes, but does not vary across stage within each subtype. Survival analyses show that nine of the 21 biomarkers are prognostic indicators in the entire cohort but when analyzed by subtype only three remain prognostic indicators in the high-grade serous and none in the clear cell subtype. For example, tumor proliferation, as assessed by Ki-67 staining, varies markedly between different subtypes and is an unfavourable prognostic marker in the entire cohort (risk ratio RR 1.7, 95% confidence interval CI 1.2%-2.4%) but is not of prognostic significance within any subtype. Prognostic associations can even show an inverse correlation within the entire cohort, when compared to a specific subtype. For example, WT1 is more frequently expressed in high-grade serous carcinomas, an aggressive subtype, and is an unfavourable prognostic marker within the entire cohort of ovarian carcinomas (RR 1.7, 95% CI 1.2%-2.3%), but is a favourable prognostic marker within the high-grade serous subtype (RR 0.5, 95% CI 0.3%-0.8%).
The association of biomarker expression with survival varies substantially between subtypes, and can easily be overlooked in whole cohort analyses. To avoid this effect, each subtype within a cohort should be analyzed discretely. Ovarian carcinoma subtypes are different diseases, and these differences should be reflected in clinical research study design and ultimately in the management of ovarian carcinoma.
SOX10 immunohistochemistry is used to identify tumors of neural crest origin, including melanocytic neoplasms. SOX10 expression has also been identified in myoepithelial cells of the breast and in a ...subset of invasive mammary carcinomas. In order to characterize SOX10 expression in ductal carcinomas of the breast, the aim of this study was to characterize the SOX10 in invasive ductal carcinomas according to molecular subtype, DCIS, and benign breast tissue. Forty cases of invasive ductal carcinoma of the breast were retrieved, with ten cases with immunohistochemical profile compatible with luminal A-like, luminal B-HER2-positive, non-luminal HER2-positive, and triple-negative subtypes. Whole tissue sections from each case were stained with SOX10. Six (60%) of ten triple-negative tumors were SOX10+ compared with 1 (3%) of 30 carcinomas of other molecular subtypes. All but one of the positive tumors showed at least moderate expression in at least 40% of tumor cells. All seven cases SOX10+ carcinomas were grade 3 tumors. Of the 13 cases with DCIS available for assessment, one (8%) showed positive SOX10 expression (a case associated with triple-negative carcinoma). Twenty-two cases contained normal breast tissue that showed SOX10 expression in both myoepithelial and luminal cells, predominantly patchy with variable intensity. SOX10 showed incomplete myoepithelial staining compared to other myoepithelial markers. In conclusion, SOX10 IHC cannot reliably differentiate between high-grade triple-negative carcinomas, melanomas, and myoepithelial tumors in the breast. SOX10 is not as robust a myoepithelial marker compared with other established markers.
Nowadays, the development of new eco-friendly and biocompatible materials using 'green' technologies represents a significant challenge for the biomedical and pharmaceutical fields to reduce the ...destructive actions of scientific research on the human body and the environment. Thus, bacterial cellulose (BC) has a central place among these novel tailored biomaterials. BC is a non-pathogenic bacteria-produced polysaccharide with a 3D nanofibrous structure, chemically identical to plant cellulose, but exhibiting greater purity and crystallinity. Bacterial cellulose possesses excellent physicochemical and mechanical properties, adequate capacity to absorb a large quantity of water, non-toxicity, chemical inertness, biocompatibility, biodegradability, proper capacity to form films and to stabilize emulsions, high porosity, and a large surface area. Due to its suitable characteristics, this ecological material can combine with multiple polymers and diverse bioactive agents to develop new materials and composites. Bacterial cellulose alone, and with its mixtures, exhibits numerous applications, including in the food and electronic industries and in the biotechnological and biomedical areas (such as in wound dressing, tissue engineering, dental implants, drug delivery systems, and cell culture). This review presents an overview of the main properties and uses of bacterial cellulose and the latest promising future applications, such as in biological diagnosis, biosensors, personalized regenerative medicine, and nerve and ocular tissue engineering.
Distinguishing mesothelioma from non–small cell lung carcinoma often requires a battery of immunohistochemical stains, as many traditional markers used in mesothelioma lack sufficient specificity to ...allow them to be used alone. A recent large-scale TMA screen identified uroplakin-IIIb (UpIIIb; clone MSVA-736M) as a potentially specific marker for mesothelioma. We examined the performance of this antibody using tissue microarrays containing a panel of 48 epithelioid mesotheliomas, 26 sarcomatoid mesotheliomas, and 144 non–small cell lung carcinomas (NSCLCs). Here we show that UpIIIb has good sensitivity (37/47 evaluable cases positive, 79%) and excellent specificity for distinguishing epithelioid mesothelioma from NSCLC (0/140 evaluable cases positive). UPIIIb sensitivity for epithelioid mesotheliomas was only slightly inferior to the established highly specific mesothelioma marker HEG1 (41/46 evaluable cases positive on the same TMA, 89%). However, UpIIIb did not stain any sarcomatoid mesotheliomas (0/24 evaluable cases positive). We also found that UpIIIb stained a proportion of high-grade serous ovarian carcinomas, a perennial diagnostic confounder in the context of mesotheliomas. Taken together, our data suggest that UpIIIb can be used as a highly specific and sensitive mesothelial marker when the diagnostic question is epithelioid mesothelioma versus NSCLC; in particular, UpIIIb staining will pick up some number of epithelioid mesotheliomas that are HEG1 negative. Since UpIIIb is known to stain some proportion of urothelial carcinomas as well as gynecologic and a few pancreatic tumors, it should be used with caution in the peritoneal cavity or when the differential diagnosis includes carcinomas from these locations.
•Uroplakin IIIb is a new immunohistochemical marker that has high specificity for separating epithelioid mesothelioma from nonsmall cell lung carcinomas.
The histologic subtype of non-small cell lung carcinoma is important in selecting appropriate chemotherapy for patients with advanced disease. As many of these patients are not operative candidates, ...they are treated medically after biopsy for diagnosis. Inherent limitations of small biopsy samples can make distinguishing poorly differentiated lung adenocarcinoma (ADC) from squamous cell carcinoma (SCC) difficult. The value of histochemical and immunohistochemical markers to help separate poorly differentiated ADC from SCC in resection specimens is well established; however, the optimal use of markers in small tissue samples has only recently been examined and the correlation of marker expression in small tissue samples with histologic subtype determined on resection specimens has not been well documented. We address this issue by examining the expression of 9 markers (p63, TTF1, CK5/6, CK7, 34βE12, Napsin A, mucicarmine, NTRK1, and NTRK2) on 200 cases of ADC and 225 cases of SCC in tissue microarray format to mimic small tissue specimens. The single best marker to separate ADC from SCC is p63 (for SCC: sensitivity 84%, specificity 85%). Logistic regression analysis identifies p63, TTF1, CK5/6, CK7, Napsin A, and mucicarmine as the optimal panel to separate ADC from SCC. Reduction of the panel to p63, TTF1, CK5/6, and CK7 is marginally less effective but may be the best compromise when tissue is limited. We present an algorithm for the stepwise application of p63, TTF1, CK5/6, CK7, Napsin A, and mucicarmine in situations in which separation of ADC from SCC in small specimens cannot be accomplished by morphology alone.
Fluorescence in situ hybridization (FISH) is the standard procedure for the detection of anaplastic lymphoma receptor tyrosine kinase (ALK) rearrangement in non–small-cell lung carcinoma (NSCLC) but ...is expensive and time consuming. We tested three antibodies to ALK, using various detection systems, and hypothesized that ALK immunohistochemistry (IHC) may represent a cost-effective and efficient means of screening for ALK rearrangement in NSCLC.
We screened 377 stage I or II NSCLC cases in a tissue microarray by FISH and IHC (5A4 Leica Biosystems Newcastle Ltd, Newcastle upon Tyne, UYnited Kingdom by Nichirei’s N-Histofine ALK detection kit Nichirei Biosciences inc., Tokyo, Japan, 5A4 by Novocastra with ADVANCE Dako Canada inc., Burlington, Ontario, Canada, D5F3 by Cell Signaling Technology with ADVANCE Cell Signalling Technologies inc., Danvers, MA, and DAKO clone ALK1 with FLEX Dako Canada inc., Burlington, Ontario, Canada and ADVANCE). IHC was scored as 0, 1+, 2+, or 3+. Possibly positive or positive cases were further analyzed by IHC and FISH on whole section.
Tissue microarray results were available on 377 cases by IHC and 273 cases by FISH. Eleven cases were positive or possibly positive by either IHC or FISH, and three cases were positive or possibly positive by both methods. Three cases were ALK-positive by FISH on whole section validation. There was no correlation between semiquantitative IHC score (1+, 2+, 3+) and ALK rearrangement by FISH. D5F3 (Cell Signaling by ADVANCE) and 5A4 (Novocastra by ADVANCE) showed the greatest combination of sensitivity (100%) and specificity (87.5% for 5A4 by Novocastra and 75% for D5F3 by Cell Signaling), and produced no false-negative results.
IHC is a reliable screening tool for identification of ALK rearrangement in NSCLC and is antibody dependent. D5F3 (Cell Signaling) and 5A4 (Novocastra) can be used with FISH for identification of IHC-positive cases to reduce screening costs.
For the general practicing pathologist, lymphoproliferative disorders are a diagnostic challenge, given the rapidly evolving molecular diagnostic tests. In keeping with our special topic on ...gastrointestinal pathology, we included a practical article on Lymphoproliferative Disorders of the Gastrointestinal Tract by Brian F. Skinnider, MD, FRCPC, which we hope can be used as a reference in the daily practice of ARCHIVES readers. Other highlights from CAMP 2017 included clinical and molecular updates and challenging cases from salivary gland neoplasms and thyroid pathology presented by renowned invited speakers from Canada (Roderick Simpson, MBChB, FRCPath) and the United States (Jennifer Hunt, MD, MEd); a debate entitled PDL-1 Testing for Immunotherapy: To Test or Not to Test-Pro: Barbara Melosky, MD, FRCPC;- and Con: Lynette Sholl, MD; and Applications of Molecular Testing in Gynecological Pathology by C. Blake Gilks, MD, FRCPC.
Currently the most sensitive method for localizing lung cancers in central airways is autofluorescence bronchoscopy (AFB) in combination with white light bronchoscopy (WLB). The diagnostic accuracy ...of WLB + AFB for high grade dysplasia (HGD) and carcinoma in situ is variable depending on physician's experience. When WLB + AFB are operated at high diagnostic sensitivity, the associated diagnostic specificity is low. Raman spectroscopy probes molecular vibrations and gives highly specific, fingerprint-like spectral features and has high accuracy for tissue pathology classification. In this study we present the use of a real-time endoscopy Raman spectroscopy system to improve the specificity. A spectrum is acquired within 1 second and clinical data are obtained from 280 tissue sites (72 HGDs/malignant lesions, 208 benign lesions/normal sites) in 80 patients. Using multivariate analyses and waveband selection methods on the Raman spectra, we have demonstrated that HGD and malignant lung lesions can be detected with high sensitivity (90%) and good specificity (65%).
•86.8% of the EBUS-FNA specimens were adequate for PD-L1 testing.•PD-L1 in EBUS-FNA had 91.3% agreement with histology samples in the same patient.•PD-L1 in EBUS-FNA 100% agrees with histology ...samples from the same anatomic site.•Lymph nodes metastasis had higher PD-L1 positive rate than in primary tumors.
The FDA approved PD-L1 tests for anti-PD-L1 immunotherapy are for surgical or histology specimens. It is not clear if cytology specimens could be used for PD-L1 testing to guide immunotherapy. In this study, we assess the suitability of EBUS-FNA cytology specimens for the testing of PD-L1.
Consecutive patients with Non-small cell lung cancer (NSCLC) underwent EBUS procedure between January 1, 2017 and March 31, 2018 for PD-L1 testing were included. The cell blocks of EBUS-FNA cytology specimens were used for PD-L1 testing using Dako 22C3 phamDx antibody according to the Dako protocol. PD-L1 protein expression in tumor cells is determined by using Tumor Proportion Score (TPS).
Of the 265 EBUS-FNA specimens from 262 patients sent for testing, 230 (86.8%) were adequate for PD-L1 testing. Of the 34 NSCLC patients with both histology and EBUS-FNA cytology specimens tested for PD-L1, the results from different specimen types had a concordance of 91.3%. The PD-L1 results from 16 paired specimens from the same anatomic site had 100% agreement. The rates of PD-L1 TPS ≥ 50% were significantly higher in the metastatic tumors in the lymph nodes than in the lung primary lesions. Therefore, EBUS-FNA cytology specimen is suitable for PD-L1 testing in patients with advanced NSCLC. The metastatic tumors in mediastinal lymph nodes appear to have higher PD-L1 expression than primary lesions.
Large cell neuroendocrine carcinoma of the lung (LCNEC) is currently classified as a rare lung cancer subtype, but given the high incidence of lung cancer, the overall number of cases is ...considerable. The pathologic diagnosis of LCNEC is mainly based on the microscopic appearance of the tumor cells, the mitotic rate, the amount of intra-tumoral necrosis, and the presence of positive neuroendocrine markers identified by immunohistochemistry. Recently, a subdivision into two main categories was proposed based on mutation signatures involving the RB1, TP53, KRAS, and STK11/LKB1 genes, into SCLC-like (small cell lung cancer-like) and NSCLC-like (non-small cell lung cancer-like) LCNEC. In terms of treatment, surgery is still the best option for resectable, stage I–IIIA cases. Chemotherapy and radiotherapy have conflicting evidence. Etoposide/platinum remains the standard chemotherapy regimen. However, based on the newly proposed LCNEC subtypes, some retrospective series report better outcomes using a pathology-driven chemotherapy approach. Encouraging outcomes have also been reported for immunotherapy and targeted therapy, but the real impact of these strategies is still being determined in the absence of adequate prospective clinical trials. The current paper scrutinized the epidemiology, reviewed the reliability of pathologic diagnosis, discussed the need for molecular subtyping, and reviewed the heterogeneity of treatment algorithms in LCNEC.
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