👤 Abidali Mohamedali

Primary cilia (PC) are cellular organelles that regulate the cellular homeostasis. They are the seats of many oncogenic pathways and indirectly regulate the epithelial-mesenchymal transition (EMT) and extracellular matrix, both critical for the tumor microenvironment (TME). Though there are a few studies highlighting the alteration of PC in the tumor cells of various malignancies, none depict the PC in the stromal cells in the urothelial carcinoma of the urinary bladder (UC), the stromal cells being an essential component of TME. Therefore, we intend to evaluate the PC in the stromal cells at the tumor-stromal interface in UC. Immunohistochemistry for acetylated-α-tubulin (for PC), Ki67, E-cadherin, and SNAI1 was performed in 141 cases of UC and 5 normal controls, and primary cilium: nucleus (C:N) ratio was counted in the stromal cells at the tumor-stromal interface. The C:N ratio was correlated with various clinical and histopathological parameters. The C:N ratio showed significant diminution from normal control (mean=0.75) to low-grade UC (mean=0.24) ( P =0.001) to high-grade UC (mean value=0.17) ( P =0.001). There was a significant diminution of the C:N ratio from the noninvasive to invasive UC ( P =0.025). The C:N ratio did not show any correlation with EMT although negatively correlated with the Ki67 index ( r =-0.32; P =0.001), and a higher ratio showed a trend with a higher recurrence-free survival ( P =0.07). The diminution of the PC in the stromal cells at the tumor-stromal interface is an early event and correlates with an aggressive tumor biology of UC. Show less

One of the most significant challenges in colorectal cancer (CRC) management is the use of compliant early stage population-based diagnostic tests as adjuncts to confirmatory colonoscopy. Despite the near curative nature of early clinical stage surgical resection, mortality remains unacceptably high-as the majority of patients diagnosed by faecal haemoglobin followed by colonoscopy occur at latter stages. Additionally, current population-based screens reliant on fecal occult blood test (FOBT) have low compliance (~ 40%) and tests suffer low sensitivities. Therefore, blood-based diagnostic tests offer survival benefits from their higher compliance (≥ 97%), if they can at least match the sensitivity and specificity of FOBTs. However, discovery of low abundance plasma biomarkers is difficult due to occupancy of a high percentage of proteomic discovery space by many high abundance plasma proteins (e.g., human serum albumin). A combination of high abundance protein ultradepletion (e.g., MARS-14 and an in-house IgY depletion columns) strategies, extensive peptide fractionation methods (SCX, SAX, High pH and SEC) and SWATH-MS were utilized to uncover protein biomarkers from a cohort of 100 plasma samples (i.e., pools of 20 healthy and 20 stages I-IV CRC plasmas). The differentially expressed proteins were analyzed using ANOVA and pairwise t-tests (p < 0.05; fold-change > 1.5), and further examined with a neural network classification method using in silico augmented 5000 patient datasets. Ultradepletion combined with peptide fractionation allowed for the identification of a total of 513 plasma proteins, 8 of which had not been previously reported in human plasma (based on PeptideAtlas database). SWATH-MS analysis revealed 37 protein biomarker candidates that exhibited differential expression across CRC stages compared to healthy controls. Of those, 7 candidates (CST3, GPX3, CFD, MRC1, COMP, PON1 and ADAMDEC1) were validated using Western blotting and/or ELISA. The neural network classification narrowed down candidate biomarkers to 5 proteins (SAA2, APCS, APOA4, F2 and AMBP) that had maintained accuracy which could discern early (I/II) from late (III/IV) stage CRC. MS-based proteomics in combination with ultradepletion strategies have an immense potential of identifying diagnostic protein biosignature. Show less