Considerations on chemical composition of psammoma bodies: Automated detection strategy by infrared microspectroscopy in ovarian and thyroid cancer tissues.

Ectopic calcifications are observed in many soft tissues and are associated with several diseases, including cancer. The mechanism of their formation and the correlation with disease progression are often unclear. Detailed knowledge of the chemical composition of these inorganic formations can be very helpful in better understanding their relationship with unhealthy tissue. In addition, information on microcalcifications can be very useful for early diagnosis and provide insight into prognosis. In this work the chemical composition of psammoma bodies (PBs) found in tissues of human ovarian serous tumors was examined. The analysis using Micro Fourier Transform Infrared Spectroscopy (micro-FTIR) revealed that these microcalcifications contain amorphous calcium carbonate phosphate. Moreover, some PB grains showed the presence of phospholipids. This interesting result corroborates the proposed formation mechanism reported in many studies according to which ovarian cancer cells switch to a calcifying phenotype by inducing the deposition of calcifications. In addition, other techniques as X-ray Fluorescence Spectroscopy (XRF), Inductively Coupled Plasma Optical Emission Spectroscopy(ICP-OES) and Scanning electron microscopy (SEM) with Energy Dispersive X-ray Spectroscopy (EDX) were performed on the PBs from ovary tissues to determine the elements present. The PBs found in ovarian serous cancer showed a composition comparable to PBs isolated from papillary thyroid. Based on the chemical similarity of IR spectra, using micro-FTIR spectroscopy combined with multivariate analysis, an automatic recognition method was constructed. With this prediction model it was possible to identify PBs microcalcifications in tissues of both ovarian cancers, regardless of tumor grade, and thyroid cancer with high sensitivity. Such approach could become a valuable tool for routine macrocalcification detection because it eliminates sample staining, and the subjectivity of conventional histopathological analysis.

Optical gas sensor based on the combination of a QD photoluminescent probe and a QD photodetector.

We report on a sensor architecture for detection of hazardous gases. The proposed device is based on the integration of a solid-state quantum dot (QD) photoluminescent probe with a QD photodetector on the same substrate. The effectiveness of the approach is demonstrated by developing a compact optical sensor for trace detection of explosives in air. The proposed architecture is very simple and consists of a silicon substrate with both surfaces coated with QD films. The upper layer acts as photoluminescent probe, pumped by a blue LED. The change of photoluminescence intensity associated to the interaction between the QDs and the target analyte is measured by the QD photodetector fabricated on the opposite side of the substrate. The sensor is mounted into a small chamber provided with the LED and the front-end electronics. The device is characterized by using nitrobenzene as representative nitroaromatic compound. Extremely low concentrations (down to 0.1 ppm) can be detected by the proposed device, with a theoretical detection limit estimated to be as low as 2 ppb. Results are repeatable and no ageing effect is observed over a 70 d period. The proposed architecture may provide a promising solution for explosive detection in air as well as other sensing applications, thanks to its sensitivity, simple fabrication process, practical usability and cost effectiveness.

Identification of remodeled collagen fibers in tumor stroma by FTIR Micro-spectroscopy: A new approach to recognize the colon carcinoma.

The tumor stroma plays a pivotal role in colon cancer genesis and progression. It was observed that collagen fibers in the extracellular matrix (ECM) of cancer stroma, undergo a strong remodeling. These fibrous proteins result more aligned and compact than in physiological conditions, creating a microenvironment that favors cancer development. In this work, micro-FTIR spectroscopy was applied to investigate the chemical modifications in the tumor stroma. Using Fuzzy C-means clustering, mean spectra from diseased and normal stroma were compared and collagen was found to be responsible for the main differences between them. Specifically, the modified absorptions at 1203, 1238, 1284 cm-1 and 1338 cm-1 wavenumbers, were related to the amide III band and CH2 bending of side chains. These signals are sensitive to the interactions between the α-chains in the triple helices of collagen structure. This provided robust chemical evidence that in cancer ECM, collagen fibers are more parallelized, stiff and ordered than in normal tissue. Principal Component Analysis (PCA) applied to the spectra from malignant and normal stroma confirmed these findings. Using LDA (Linear Discriminant Analysis) classification, the absorptions 1203, 1238, 1284 and 1338 cm-1 were examined as spectral biomarkers, obtaining quite promising results. The use of a PCA-LDA prediction model on samples with moderate tumor degree further showed that the stroma chemical modifications are more indicative of malignancy compared to the epithelium. These preliminary findings have shown that micro-FTIR spectroscopy, focused on collagen signals, could become a promising tool for colon cancer diagnosis.

On the chemical composition of psammoma bodies microcalcifications in thyroid cancer tissues.

Recently the knowledge of chemical composition of pathological mineralizations is an important topic extensively studied because it could give more in-depth information to understand pathologies themselves and to improve prevention methods. In this work, psammoma bodies (PBs) microcalcifications in thyroid cancer tissue are investigated by different and complementary analytical methods as: micro-Fourier transformed spectroscopy, X-ray fluorescence spectroscopy, Inductively Coupled plasma Optical Emission Spectroscopy (ICP-OES) and scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy imaging (EDX). For the first time the micro-FTIR analysis of the only inorganic phase isolated from PBs was reported. Signals of the recorded spectrum showed that the main component of the calcifications is the amorphous carbonated calcium phosphate, and the IR spectrum of thyroid PBs is strongly consistent with that of PBs in human ovarian tumors. The XRF and the ICP analysis detected also the presence of iron ad zinc in thyroid PBs. These results are validated by scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy imaging (EDX) carried out on tissue samples of the papillary thyroid carcinoma. By these analytical methods magnesium and sodium were detected within PBs while the presence of iron was confirmed by the Perls test. Summarizing the results of applied analytical methods, the main detected elements within the thyroid psammoma bodies are Ca, P, Mg, Na, Fe and Zn. Magnesium and sodium are found in malignant breast cancer microcalcifications, thus they seem correlated to neoplastic transformation. The Fe and Zn elements could give information about the origin of these pathological microcalcifications.

Micro-FTIR spectroscopy as robust tool for psammoma bodies detection in papillary thyroid carcinoma.

The presence of psammoma bodies (PBs), concentric lamellated calcified structures, in thyroid tissues is considered a reliable diagnostic marker for Papillary thyroid carcinoma (PTC) and has been correlated to aggressive tumour behaviours such as multifocality and lymph node metastasis. Fourier transform infrared (FTIR) microspectroscopy already proved to be a powerful tool for biological tissues study thanks to its ability to spatially resolve information on the chemical composition of the analysed samples. FTIR maps were collected from thyroid tumour resections and analysed by multivariate unsupervised Principal Component Analysis (PCA) and Clustering (K-means and fuzzy c-means clustering) techniques. The resulting spectral images were compared to the corresponding hematoxylin-eosin stained tissue section which provided histopathological validation. The 850-1100 cm-1 spectral range was the most reliable for detection of PBs and the characteristic bands of carboapatite, present in this region, were correctly identified by the multivariate techniques. These findings disclose the possibility to use a combination of FTIR microspectroscopy and multivariate spectral processing as objective and robust tools for automated PBs recognition and consequently for PTC early diagnosis.