Skin cancers are one of the most frequently occurring diseases in humans that pose severe health issues.Fourier Transform Infrared (FTIR) spectroscopy in cancer research has gained considerable attention because of its ability to provide biochemical information in addition to being compatible with traditional histopathology. With this review, we aim to identify all skin cancer studies which have been conducted using FTIR spectroscopy and depict different methodologies that have been used to analyse FTIR spectroscopic data of skin cancers. We conducted the systematic review following PRISMA guidelines for which three databases, Scopus, PubMed and Web of Science, were searched from commencement to 16 January 2019. All the studies which used FTIR spectroscopy for skin cancer research were included in the review. A total of 35 studies were found eligible to be included in the review. Of these, 21 studies were based on melanoma, 6 studies on BCC, 2 studies on SCC, and 2 on lymphocytes. The remaining 4 studies aimed to differentiate between various skin cancer types. The potential of FTIR spectroscopy for many relevant aspects of skin cancer research has already been demonstrated, but more work is needed to establish FTIR spectroscopy as a routine method in the field.

SummaryBackgroundIn horses, osteoarthritis (OA) mostly affects metacarpophalangeal and metatarsophalangeal (fetlock) joints. The current modalities used for diagnosis of equine limb disorders lack ability to detect early OA. Here, we propose a new alternative approach to assess experimental cartilage damage in fetlock joint using Acoustic Emissions (AE).ObjectivesTo evaluate the potential of AE technique in diagnosing OA and see how AE signals changes with increasing severity of OA.Study designAn in vitro experimental study.MethodsA total of 16 distal limbs (8 forelimbs and 8 hindlimbs) from six Finn horses were collected from an abattoir and fitted in a custom‐made frame allowing fetlock joint bending. Eight fetlock joints were opened, and cartilage surface was progressively damaged mechanically three times using sandpaper to mimic mild, moderate and severe OA. The remaining eight fetlock joints were opened and closed without any mechanical procedure, serving as controls. Before cartilage alteration, synovial fluid was aspirated, mixed with phosphate‐buffered saline solution, and then reinjected before suturing for constant joint lubrication. For each simulated condition of OA severity, a force was applied to the frame and then released to mimic joint flexion and extension. AE signals were acquired using air microphones.ResultsA strong association was found between the joint condition and the power of AE signals analysed in 1.5–6 kHz range. The signal from both forelimb and hindlimb joints followed a similar pattern for increased cartilage damage. There were statistically significant differences between each joint condition progressively (generalised linear mixed model, P<0.001) in limbs with in vitro cartilage damage of varying severity while the control limbs did not show any changes.Main limitationsSmall sample size using in vitro, mechanically induced cartilage damage.ConclusionThe AE technique presented here could differentiate the severity of fetlock joint cartilage damage. The consistent results for each simulated condition suggest there is potential for this method in the diagnosis of OA.

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The use of Fourier Transform Infrared (FTIR) microspectroscopy to study cancerous cells and tissues has gained popularity due to its ability to provide spatially resolved information at the molecular level....

Among skin cancers, melanoma is the lethal form and the leading cause of death in humans. Melanoma begins in melanocytes and is curable at early stages. Thus, early detection and evaluation of its metastatic potential are crucial for effective clinical intervention. Fourier transform infrared (FTIR) spectroscopy has gained considerable attention due to its versatility in detecting biochemical and biological features present in the samples. Changes in these features are used to differentiate between samples at different stages of the disease. Previously, FTIR spectroscopy has been mostly used to distinguish between healthy and diseased conditions. With this study, we aim to discriminate between different melanoma cell lines based on their FTIR spectra. Formalin-fixed paraffin embedded samples from three melanoma cell lines (IPC-298, SK-MEL-30 and COLO-800) were used. Statistically significant differences were observed in the prominent spectral bands of three cell lines along with shifts in peak positions. Partial least square discriminant analysis (PLS-DA) models built for the classification of three cell lines showed accuracies of 96.38 %, 95.96 % and 99.7 %, for the differentiation of IPC-298, SK-MEL-30 and COLO-800, respectively. The results suggest that FTIR spectroscopy can be used to differentiate between genetically different melanoma cells and thus potentially characterize the metastatic potential of melanoma.