Melanoma of the skin is the sixth most common type of cancer in Europe and accounts for 3.4% of all diagnosed cancers. More alarming is the degree of recurrence that occurs with approximately 20% of patients lethally relapsing following treatment. Malignant melanoma is a highly aggressive skin cancer and metastases rapidly extend to the regional lymph nodes (stage 3) and to distal organs (stage 4). Targeted oncotherapy is one of the standard treatment for progressive stage 4 melanoma, and BRAF inhibitors (e.g. vemurafenib, dabrafenib) combined with MEK inhibitor (e.g. trametinib) can effectively counter BRAFV600E-mutated melanomas. Compared to conventional chemotherapy, targeted BRAFV600E inhibition achieves a significantly higher response rate. After a period of cancer control, however, most responsive patients develop resistance to the therapy and lethal progression. The many underlying factors potentially causing resistance to BRAF inhibitors have been extensively studied. Nevertheless, the remaining unsolved clinical questions necessitate alternative research approaches to address the molecular mechanisms underlying metastatic and treatment-resistant melanoma. In broader terms, proteomics can address clinical questions far beyond the reach of genomics, by measuring, i.e. the relative abundance of protein products, post-translational modifications (PTMs), protein localisation, turnover, protein interactions and protein function. More specifically, proteomic analysis of body fluids and tissues in a given medical and clinical setting can aid in the identification of cancer biomarkers and novel therapeutic targets. Achieving this goal requires the development of a robust and reproducible clinical proteomic platform that encompasses automated biobanking of patient samples, tissue sectioning and histological examination, efficient protein extraction, enzymatic digestion, mass spectrometry-based quantitative protein analysis by label-free or labelling technologies and/or enrichment of peptides with specific PTMs. By combining data from, e.g. phosphoproteomics and acetylomics, the protein expression profiles of different melanoma stages can provide a solid framework for understanding the biology and progression of the disease. When complemented by proteogenomics, customised protein sequence databases generated from patient-specific genomic and transcriptomic data aid in interpreting clinical proteomic biomarker data to provide a deeper and more comprehensive molecular characterisation of cellular
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Inhibiting angiogenesis has been a focus for anti-cancer strategies. Mitochondrial UQCRB enhances VEGFR2 signaling by increasing ROS in endothelial cells. UQCRB inhibitor blocks angiogenesis by suppressing mitochondrial ROS. Findings may provide a new therapeutic approach for human cancer.
Well-characterized
archival formalin-fixed paraffin-embedded (FFPE)
tissues are of much value for prospective biomarker discovery studies,
and protocols that offer high throughput and good reproducibility
are essential in proteomics. Therefore, we implemented efficient paraffin
removal and protein extraction from FFPE tissues followed by an optimized
two-enzyme digestion using suspension trapping (S-Trap). The protocol
was then combined with TMTpro 16plex labeling and applied to lung
adenocarcinoma patient samples. In total, 9585 proteins were identified,
and proteins related to the clinical outcome were detected. Because
acetylation is known to play a major role in cancer development, a
fast on-trap acetylation protocol was developed for studying endogenous
lysine acetylation, which allows identification and localization of
the lysine acetylation together with quantitative comparison between
samples. We demonstrated that FFPE tissues are equivalent to frozen
tissues to study the degree of acetylation between patients. In summary,
we present a reproducible sample preparation workflow optimized for
FFPE tissues that resolves known proteomic-related challenges. We
demonstrate compatibility of the S-Trap with isobaric labeling and
for the first time, we prove that it is feasible to study endogenous
lysine acetylation stoichiometry in FFPE tissues, contributing to
better utility of the existing global tissue archives. The MS proteomic
data have been deposited to the ProteomeXchange Consortium via the
PRIDE partner repository with the data set identifiers PXD020157,
PXD021986, and PXD021964.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Recently, we identified a novel therapeutic target and a small molecule for regulating angiogenesis. Our study showed that ubiquinol-cytochrome c reductase binding protein (UQCRB) of the mitochondrial complex III plays a crucial role in hypoxia-induced angiogenesis via mitochondrial reactive oxygen species (ROS) mediated signaling. Herein, we developed new synthetic small molecules that specifically bind to UQCRB and regulate its function. To improve the pharmacological properties of 6-((1-hydroxynaphthalen-4-ylamino)dioxysulfone)-2H-naphtho[1,8-bc]thiophen-2-one (HDNT), a small molecule that targets UQCRB, a series of HDNT derivatives were designed and synthesized. Several derivatives showed a significant increase in hypoxia inducible factor 1α (HIF-1α) inhibitory potency compared to HDNT. The compounds bound to UQCRB and suppressed mitochondrial ROS-mediated hypoxic signaling, resulting in potent inhibition of angiogenesis without inducing cytotoxicity. Notably, one of these new derivatives significantly suppressed tumor growth in a mouse xenograft model. Therefore, these mitochondrial UQCRB modulators could be potential leads for the development of novel antiangiogenic agents.
MALDI mass spectrometry imaging (MSI) provides a technology platform that allows the accurate visualization of unlabeled small molecules within the two-dimensional spaces of tissue samples. MSI has proven to be a powerful tool-box concept in the development of new drugs. MSI allows unlabeled drug compounds and drug metabolites to be detected and identified and quantified according to their mass-to-charge ratios (m/z) at high resolution in complex tissue environments. Such drug characterization in situ, by both spatial and temporal behaviors within tissue compartments, provide new understandings of the dynamic processes impacting drug uptake and metabolism at the local sites targeted by therapy. Further, MSI in combination with histology and immunohistochemistry, provides the added value of defining the context of cell biology present at the sites of drug localization thus providing invaluable information relating to treatment efficacy. In this report we provide mass spectrometry imaging data within various cancers such as malignant melanoma in patients administered with vemurafenib, a protein kinase inhibitor that is targeting BRAF mutated proteins and that has shown significant efficacy in restraining disease progression. We also provide an overview of other examples of the new generation of targeted drugs, and demonstrate the data on personalized medicine drugs localization within tumor compartments within in vivo models. In these cancer models we provide detailed data on drug and target protein co-localization of YCG185 and sunitinib. These drugs are targeting VEGFR2 within the angiogenesis mechanism. Our ability to resolve drug uptake at targeted sites of directed therapy provides important opportunities for increasing our understanding about the mode of action of drug activity within the environment of disease.
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