Automatic Identification of Paraffin Pixels on FTIR Images Acquired on FFPE Human Samples.

The transfer of mid-infrared spectral histopathology to the clinic will be possible provided that its application in clinical practice is simple. Rapid analysis of formalin-fixed paraffin-embedded (FFPE) tissue section is thus a prerequisite. The chemical dewaxing of these samples before image acquisition used by the majority of studies is in contradiction with this principle. Fortunately, the in silico analysis of the images acquired on FFPE samples is possible using extended multiplicative signal correction (EMSC). However, the removal of pure paraffin pixels is essential to perform a relevant classification of tissue spectra. So far, this task was possible only if using manual and subjective histogram analysis. In this article, we thus propose a new automatic and multivariate methodology based on the analysis of optimized combinations of EMSC regression coefficients by validity indices and KMeans clustering to separate paraffin and tissue pixels. The validation of our method is performed using simulated infrared spectral images by measuring the Jaccard index between our partitions and the image model, with values always over 0.90 for diverse baseline complexity and signal-to-noise ratio. These encouraging results were also validated on real images by comparing our method with classical ones and by computing the Jaccard index between our partitions and the KMeans partitions obtained on the infrared image acquired on the same samples but after chemical dewaxing, with values always over 0.84.

Histological Remission in Ulcerative Colitis: Under the Microscope Is the Cure.

In recent years, the therapeutic goals in ulcerative colitis (UC) have become increasingly stringent. Histological features seem to be a reliable predictor of disease outcomes after therapy, and histological remission (HR) is the new frontier in the treatment of UC. Here, we first provide a historical perspective before reviewing indexes in the era of biologics; histology as a treatment goal in UC trials; the poor correlation between symptoms, endoscopy, and histology; and the impact of histology on disease outcomes. HR seems to be a promising end point for the treatment of UC because it is typically associated with better outcomes. Two new validated indexes are available to assess histology more accurately in trials, and they may also be applicable to clinical practice. Additional interventional trials are now necessary to establish definitions of HR and its potential for disease modification.

Responsiveness of histological disease activity indices in ulcerative colitis: a post hoc analysis using data from the TOUCHSTONE randomised controlled trial.

OBJECTIVE: We evaluated the reliability and responsiveness of available but incompletely validated UC histological disease activity indices using standardised rules for centralised assessment. DESIGN: Disease activity was assessed in biopsies collected in a phase II placebo-controlled ozanimod trial by four blinded pathologists using the Geboes (GS) and modified Riley (MRS) scores, the Robarts Histopathology (RHI) and Nancy Histological (NHI) indices and a Visual Analogue Scale. Reliability was assessed with intraclass correlation coefficients (ICCs). Index responsiveness was evaluated by assessing longitudinal validity (Pearson correlations of changes in index scores and other disease measures), and effect size estimates (standardised effect size (SES)) using two criteria for change (treatment assignment and >2 point decrease in total Mayo Clinic score). Area under the receiver operating characteristic (AUROC) curve estimates evaluated the probability of the indices to discriminate between treatment and placebo. RESULTS: Inter-rater reliability of the histological indices was substantial to almost perfect (ICC>0.61), and responsiveness was moderate to large (SES estimates>0.5); 0.81 (0.52, 1.10), 0.87 (0.58, 1.17), 0.57 (0.30, 0.84) and 0.81 (0.52, 1.09) when treatment assignment was the criterion for change and 1.05 (0.80, 1.31), 1.13 (0.87, 1.39), 0.88 (0.64, 1.12) and 1.06 (0.80, 1.31) for the change in Mayo score criterion for the GS, MRS, RHI and NHI, respectively. The indices had similar drisciminative ability based on AUROC estimates (range 0.608-0.649). CONCLUSION: All four existing histological indices were similarly reliable and responsive based on this dataset.

Development and validation of the Nancy histological index for UC.

OBJECTIVE: We developed a validated index for assessing histological disease activity in UC and established its responsiveness. METHODS: Two hundred biopsies were scored. The outcome was the Global Visual Evaluation (GVE). Eight histological features were tested. The Nancy index was developed by multiple linear regression and bootstrap process to create an index that best matched the GVE. Goodness of fit was assessed by the adjusted R squared (adjusted R2). The second step was the validation of the index: 100 biopsies were scored for the Nancy index by three pathologists from different centres. Inter-reader reliability was evaluated for each reader. The relationship between the change of the Nancy index and the Geboes index was assessed to assess the responsiveness. RESULTS: After backward selection with bootstrap validation, 3/8 items were selected: ulceration (adjusted R2=0.55), acute inflammatory infiltrate (adjusted R2=0.88) and chronic inflammatory infiltrate (adjusted R2=0.79). The Nancy index is defined by a 5-level classification ranging from grade 0 (absence of significant histological disease activity) to grade 4 (severely active disease). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.88 (95% CI 0.82 to 0.92) and the index had good inter-reader reliability (ICC=0.86 (0.81 to 0.99)). The correlation between the Nancy index and the Geboes score or the GVE was very good. The index had a good responsiveness with a high correlation between changes in the Geboes score and changes in the Nancy index (0.910 (0.813 to 0.955)). CONCLUSIONS: A three descriptor histological index has been validated for use in clinical practice and clinical trials.

Expression of the Serrated Markers Annexin A10 or Gremlin1 in Colonic Adenocarcinomas: Morphology and Prognostic Values.

Describe clinical, histological and molecular charatcteristics and prognosis values of the serrated candidate markers AnnexinA10 and Gremlin1 in colon adenocarcinomas. Immunohistochemical expression of AnnexinA10 and Gremlin1 was evaluated on 346 colonic adenocarcinomas. Clinicopathological, molecular features and prognostic characteristics were then evaluated. A total of 40 colonic adenocarcinomas expressed AnnexinA10 (11.6%) and, 115 expressed Gremlin1 (40.4%). AnnexinA10 expression was significantly associated, on univariate analyses, with female gender (p = 0.03), right tumor location (p < 0.001), differentiation grade 3 (p < 0.001), serrated adenocarcinoma subtype (p < 0.001), serrated (p < 0.001), medullary (p = 0.005), and mucinous component (p = 0.004), cytoplasmic eosinophilia (p < 0.001), discernible nuclei (p = 0.001), preserved polarity (p < 0.001), lymphatic invasion (p = 0.01), BRAFV600E mutation (p < 0.001), MSI-H status (p < 0.001) and CIMP-H status (p = 0.019). Multivariate analyses revealed that mucinous component (p = 0.002), lymphatic invasion (p = 0.02) and BRAFV600E mutation (p < 0.001) were independently associated with AnnexinA10 expression. In addition, AnnexinA10 was an indicator of poorer overall survival (OS) in UICC stage IV adenocarcinomas (p = 0.01) only. Gremlin1 expression was neither associated with serrated adenocarcinoma subtype (p = 0.51) nor with AnnexinA10 expression (p = 0,31), but was significantly associated, in univariate analysis with male gender (p = 0.002), younger age (p = 0.002), left tumor location (p = 0.04), and MSS status (p = 0.03). Gremlin1 expression was associated with better OS only in UICC stage III colon adenocarcinomas (p = 0.006). Colon adenocarcinomas expressing AnnexinA10 have distinct clinico-pathological and molecular features. AnnexinA10 expression is an indicator of poorer OS in UICC stage IV patients. Gremlin1 expression is not associated with serrated adenocarcinomas subtype. Its expression was associated with better OS in UICC Stage III patients.

Is the Mirror Image Method Really Useful in Tumor Tissue Bank Quality Control?

Oncology research projects are highly dependent on the quality of tumor samples stored in the biobank. Microscopic control is important to ensure the quality of the frozen sample (Does the sample correspond to tumor tissue? Does the sample contain a sufficient number of tumor cells for molecular analysis?). The aim of this study was to evaluate the value of the mirror image method in quality control of colonic adenocarcinoma samples stored in a tumor bank. Microscopic concordance for the differentiation grade, malignant and normal cell percentages, necrosis, mucinous component, and ulceration was assessed on 82 colon adenocarcinoma banked samples and their paired, formalin-fixed, paraffin-embedded mirror controls. Molecular concordance for KRAS status was evaluated in 76 of these 82 cases. Morphological correspondence between frozen and mirror samples was good for the mucinous component (intraclass correlation coefficient [ICC] = 0.81), moderate for differentiation (Cohen's kappa coefficient [k] = 0.67), fair for malignant cells (ICC = 0.44), and poor for ulceration (k = 0.08), normal tissue (ICC = 0.36), and necrosis (ICC = 0.13) percentages. Molecular correspondence for KRAS status was almost perfect (95% correspondence, k = 0.88) between frozen and mirror samples. In conclusion, the mirror sample method is not a good alternative for microscopic and molecular control of frozen colonic adenocarcinoma samples.

Which evidence for a treat to target strategy in ulcerative colitis?

The main therapeutic goal of in ulcerative colitis is to maintain disease remission. The new concept of deep remission implies also a complete mucosal healing. Histological assessment of disease in UC seems to be an important prognostic factor to predict disease outcome. In this article we review current definitions of mucosal healing, histological healing, histological remission and available histological scores assessing histological activity of disease in ulcerative colitis. Comparison between mucosal healing and histological remission shows that histological remission is a better prognostic factor than mucosal healing to predict outcome in ulcerative colitis and could be a new therapeutic goal in ulcerative colitis but actually histology is not a target due to lack of evidence of clinical utility. Some investigations are needed to clearly defined histological remission and to determine its role in therapeutic strategy. Futhermore histological assessment remains an invasive exploration and other alternative as faecal markers are discuss to predict ulcerative outcome.

Immunohistochemical Approach to the Differential Diagnosis of Meningiomas and Their Mimics.

The differential diagnosis between meningioma and others tumors can be challenging. This study aimed to evaluate different immunohistochemical markers for the differential diagnosis between meningioma and their morphological mimics. Immunohistochemistry was performed on tissue microarray with antiepithelial membrane antigen (EMA), progesterone receptor, somatostatin receptor 2A (SSTR2A), CD34, STAT6, S100, SOX10, HMB45, MelanA, GFAP, inhibin, and BCL2 antibodies. One hundred and twenty-seven meningiomas, 26 solitary fibrous tumor/hemangiopericytomas (SFT/HPC), 39 schwannomas, 17 hemangioblastomas, 21 melanomas, 9 gliosarcomas, 5 neurofibromas, 9 peripheral primitive neuroectodermal tumors, 7 synovial sarcomas, and 5 malignant peripheral nerve sheath tumors were included in the microarray. SSTR2A was the most sensitive (95.2%) and specific (92%) marker of meningiomas. In combination, SSTR2A and/or EMA positivity reached maximal sensitivity (100%). Coexpression of SSTR2A and EMA was the most specific (94.8%) for the diagnosis of meningioma, regardless of the grade or subtype, with the exception of the differential diagnosis with synovial sarcoma. All synovial sarcomas were EMA-positive and 6/7 SSTR2A-positive. STAT6 showed optimum sensitivity and specificity (100%) for SFT/HPC. SOX10 was the most sensitive (94.3%) and specific (100%) marker to discriminate meningiomas from schwannomas. In conclusion, SSTR2A, STAT6, and SOX10 were the most sensitive and specific markers to distinguish meningiomas from their morphological mimics.

Foetal programming by methyl donor deficiency produces steato-hepatitis in rats exposed to high fat diet.

Non-alcoholic steatohepatitis (NASH) is a manifestation of metabolic syndrome, which emerges as a major public health problem. Deficiency in methyl donors (folate and vitamin B12) during gestation and lactation is frequent in humans and produces foetal programming effects of metabolic syndrome, with small birth weight and liver steatosis at day 21 (d21), in rat pups. We investigated the effects of fetal programming on liver of rats born from deficient mothers (iMDD) and subsequently subjected to normal diet after d21 and high fat diet (HF) after d50. We observed increased abdominal fat, ASAT/ALAT ratio and angiotensin blood level, but no histological liver abnormality in d50 iMDD rats. In contrast, d185 iMDD/HF animals had hallmarks of steato-hepatitis, with increased markers of inflammation and fibrosis (caspase1, cleaved IL-1ß, α1(I) and α2(I) collagens and α-SMA), insulin resistance (HOMA-IR and Glut 2) and expression of genes involved in stellate cell stimulation and remodelling and key genes triggering NASH pathomechanisms (transforming growth factor beta super family, angiotensin and angiotensin receptor type 1). Our data showed a foetal programming effect of MDD on liver inflammation and fibrosis, which suggests investigating whether MDD during pregnancy is a risk factor of NASH in populations subsequently exposed to HF diet.

Biobanking of Fresh-Frozen Human Adenocarcinomatous and Normal Colon Tissues: Which Parameters Influence RNA Quality?

Medical research projects become increasingly dependent on biobanked tissue of high quality because the reliability of gene expression is affected by the quality of extracted RNA. Hence, the present study aimed to determine if clinical, surgical, histological, and molecular parameters influence RNA quality of normal and tumoral frozen colonic tissues. RNA Quality Index (RQI) was evaluated on 241 adenocarcinomas and 115 matched normal frozen colon tissues collected between October 2006 and December 2012. RQI results were compared to patients' age and sex, tumor site, kind of surgery, anastomosis failure, adenocarcinoma type and grade, tumor cell percentage, necrosis extent, HIF-1α and cleaved caspase-3 immunohistochemistry, and BRAF, KRAS and microsatellites status. The RQI was significantly higher in colon cancer tissue than in matched normal tissue. RQI from left-sided colonic cancers was significantly higher than RQI from right-sided cancers. The RNA quality was not affected by ischemia and storage duration. According to histological control, 7.9% of the samples were unsatisfactory because of inadequate sampling. Biobanked tumoral tissues with RQI ≥5 had lower malignant cells to stromal cells ratio than samples with RQI <5 (p <0.05). Cellularity, necrosis extent and mucinous component did not influence RQI results. Cleaved caspase-3 and HIF-1α immunolabelling were not correlated to RQI. BRAF, KRAS and microsatellites molecular status did not influence RNA quality. Multivariate analysis revealed that the tumor location, the surgical approach (laparoscopy versus open colectomy) and the occurrence of anastomotic leakage were the only parameters influencing significantly RQI results of tumor samples. We failed to identify parameter influencing RQI of normal colon samples. These data suggest that RNA quality of colonic adenocarcinoma biospecimens is determined by clinical and surgical parameters. More attention should be paid during the biobanking procedure of right-sided colon cancer or laparoscopic colectomy specimen. Histological quality control remains essential to control sampling accuracy.