Hepatocellular carcinoma (HCC) is the most common subtype of liver cancer, and assessing its histopathological grade requires visual inspection by an experienced pathologist. In this study, the histopathological H&E images from the Genomic Data Commons Databases were used to train a neural network (inception V3) for automatic classification. According to the evaluation of our model by the Matthews correlation coefficient, the performance level was close to the ability of a 5-year experience pathologist, with 96.0% accuracy for benign and malignant classification, and 89.6% accuracy for well, moderate, and poor tumor differentiation. Furthermore, the model was trained to predict the ten most common and prognostic mutated genes in HCC. We found that four of them, including CTNNB1, FMN2, TP53, and ZFX4, could be predicted from histopathology images, with external AUCs from 0.71 to 0.89. The findings demonstrated that convolutional neural networks could be used to assist pathologists in the classification and detection of gene mutation in liver cancer.

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning

Cancer is a leading cause of death and poor quality of life globally. Even though several strategies are devised to reduce deaths, reduce chronic pain and improve the quality of life, there remains a shortfall in the adequacies of these cancer therapies. Among the cardinal steps towards ensuring optimal cancer treatment are early detection of cancer cells and drug application with high specificity to reduce toxicities. Due to increased systemic toxicities and refractoriness with conventional cancer diagnostic and therapeutic tools, other strategies including nanotechnology are being employed to improve diagnosis and mitigate disease severity. Over the years, immunotherapeutic agents based on nanotechnology have been used for several cancer types to reduce the invasiveness of cancerous cells while sparing healthy cells at the target site. Nanomaterials including carbon nanotubes, polymeric micelles and liposomes have been used in cancer drug design where they have shown considerable pharmacokinetic and pharmacodynamic benefits in cancer diagnosis and treatment. In this review, we outline the commonly used nanomaterials which are employed in cancer diagnosis and therapy. We have highlighted the suitability of these nanomaterials for cancer management based on their physicochemical and biological properties. We further reviewed the challenges that are associated with the various nanomaterials which limit their uses and hamper their translatability into the clinical setting in certain cancer types.

/pdf/application-of-nanotechnology-in-cancer-diagnosis-and-4fmop5mjmr.pdf

Application of Nanotechnology in Cancer Diagnosis and Therapy - A Mini-Review.

Fluorescent semiconductor nanocrystals (quantum dots) have the potential to revolutionize biological imaging, but their use has been limited by difficulties in obtaining nanocrystals that are biocompatible. To address this problem, we encapsulated individual nanocrystals in phospholipid block–copolymer micelles and demonstrated both in vitro and in vivo imaging. When conjugated to DNA, the nanocrystal-micelles acted as in vitro fluorescent probes to hybridize to specific complementary sequences. Moreover, when injected into Xenopus embryos, the nanocrystal-micelles were stable, nontoxic (<5 × 109 nanocrystals per cell), cell autonomous, and slow to photobleach. Nanocrystal fluorescence could be followed to the tadpole stage, allowing lineage-tracing experiments in embryogenesis.

/pdf/in-vivo-imaging-with-quantum-dots-encapsulated-in-3x3r4ful3m.pdf

In vivo imaging with quantum dots encapsulated in phospholipid micelles

Long non-coding RNAs (lncRNAs) have been known to partake in the development and the immune escape of hepatocellular carcinoma (HCC). The initial microarray analysis of GSE115018 expression profile revealed differentially expressed lncRNA fetal-lethal non-coding developmental regulatory RNA (FENDRR) in HCC. Therefore, this study's main purpose was to explore the mechanism of tumor suppressor lncRNA FENDRR in regulating the immune escape of HCC cells. Notably, it was further validated through this study that lncRNA FENDRR competitively bound to microRNA-423-5p (miR-423-5p), and miR-423-5p specifically targeted growth arrest and DNA-damage-inducible beta protein (GADD45B). The effects that lncRNA FENDRR and miR-423-5p have on the cell proliferation and apoptosis, the immune capacity of regulatory T cells (Tregs), and the tumorigenicity of HCC cells were examined through overexpressing or the knocking down of lncRNA FENDRR and miR-423-5p both in vitro and in vivo. Subsequently, lncRNA FENDRR and GADD45B were revealed to have poor expressions in HCC. Meanwhile, miR-423-5p was highly expressed in HCC. Importantly, overexpressed lncRNA FENDRR and downregulated miR-423-5p diminished cell proliferation and tumorigenicity, and promoted apoptosis in HCC cells, thus regulating the immune escape of HCC mediated by Tregs. Taken conjointly, lncRNA FENDRR inhibited the Treg-mediated immune escape of HCC cells by upregulating GADD45B by sponging miR-423-5p.

Long Non-coding RNA FENDRR Acts as a miR-423-5p Sponge to Suppress the Treg-Mediated Immune Escape of Hepatocellular Carcinoma Cells

Volatile organic compounds (VOCs), produced and emitted through the metabolism of cancer cells or the body's immune system, are considered novel cancer biomarkers for diagnostic purposes. Of late, a large number of work has been done to find a relationship between VOCs' signature of body and cancer. Cancer-related VOCs can be used to detect several types of cancers at the earlier stages which in turn provide a significantly higher chance of survival. Here we aim to provide an updated picture of cancer-related VOCs based on recent findings in this field focusing on cancer odor database.

/pdf/digging-deeper-into-volatile-organic-compounds-associated-4uahme30oh.pdf

Digging deeper into volatile organic compounds associated with cancer.

Background Nanotechnology is gaining significant attention worldwide for cancer treatment. Nanobiotechnology encourages the combination of diagnostics with therapeutics, which is a vital component of a customized way to deal with the malignancy. Nanoparticles are being used as Nanomedicine which participates in diagnosis and treatment of various diseases including cancer. The unique characteristic of Nanomedicine i.e. their high surface to volume ratio enables them to tie, absorb, and convey small biomolecule like DNA, RNA, drugs, proteins, and other molecules to targeted site and thus enhances the efficacy of therapeutic agents. Objective The objective of the present article is to provide an insight of several aspect of nanotechnology in cancer therapeutics such as various nanomaterials as drug vehicle, drug release strategies and role of nanotechnology in cancer therapy. Methods We performed an extensive search on bibliographic database for research article on nanotechnology and cancer therapeutics and further compiled the necessary information from various articles into the present article. Results Cancer nanotechnology confers a unique technology against cancer through early diagnosis, prevention, personalized therapy by utilizing nanoparticles and quantum dots.Nano-biotechnology plays an important role in the discovery of cancer biomarkers. Quantum dots, gold nanoparticles, magnetic nanoparticles, carbon nanotubes, gold nanowires etc. have been developed as a carrier of biomolecules that can detect cancer biomarkers. Nanoparticle assisted cancer detection and monitoring involves biomolecules like proteins, antibody fragments, DNA fragments, and RNA fragments as the base of cancer biomarkers. Conclusion This review highlights various approaches of cancer nanotechnology in the advancement of cancer therapy.

Cancer Nanotechnology: A New Revolution for Cancer Diagnosis and Therapy.

Molecular mechanistic insight of hepatitis B virus mediated hepatocellular carcinoma.

Stem cell niche: Dynamic neighbor of stem cells.

Algae have a great potential source of biofuels and also have unique importance to reduce gaseous emissions, greenhouse gases, climatic changes, global warming receding of glaciers, rising sea levels and loss of biodiversity. The microalgae, like Scenedesmus obliquus, Neochloris oleabundans, Nannochloropsis sp., Chlorella emersonii, and Dunaliella tertiolecta have high oil content. Among the known algae, Scenedesmus obliquus is one of the most potential sources for biodiesel as it has adequate fatty acid (linolenic acid) and other polyunsaturated fatty acids. Bio-ethanol is already in the market of United States of America and Europe as an additive in gasoline. Bio-hydrogen is the cleanest biofuel and extensive efforts are going on to bring it to market at economical price. This review highlights recent development and progress in the field of algae as a potential source of biofuel.

Anshuman Singh

Papers

Cancer Nanotechnology: A New Revolution for Cancer Diagnosis and Therapy.

Molecular mechanistic insight of hepatitis B virus mediated hepatocellular carcinoma.

Stem cell niche: Dynamic neighbor of stem cells.

Importance of algae as a potential source of biofuel.