Scientific Program

Conference Series Ltd invites all the participants across the globe to attend International Conference on Cancer Research and Diagnostics Singapore.

Day 1 :

Keynote Forum

Lingzhi Wang

National University of Singapore, Singapore

Keynote: Novel exosome proteins as potential biomarkers for early detection of lung cancer

Time : 09:30-10:10

OMICS International Cancer diagnostics Conference 2018 International Conference Keynote Speaker Lingzhi Wang  photo
Biography:

Lingzhi Wang is a Senior Research Scientist at Cancer Science Institute of Singapore and an Assistant Professor in the Department of Pharmacology of Yong Loo Lin School of Medicine, National University of Singapore (NUS). He has obtained his PhD in Pharmacology in 2008 and won PhD Graduate Research Excellence Award from American Association of Pharmaceutical Scientists (AAPS) Annual Meeting, USA. He has published more than 70 research papers. He also has been serving as an Editorial Board Member of several peer reviewed scientific publications.

 

Abstract:

Lung cancers are often diagnosed at advanced stages with concomitant poor prognosis, making it the leading cause of cancer mortality worldwide. Herein, we aim to validate a panel of protein biomarkers identified from tumor cell-derived exosomes in liquid biopsies as diagnostic biomarkers for lung cancer. Biomarker candidates were identified by quantitative proteomics analyses. Verification and validation of exosomal candidates were performed by western blot and ELISA, respectively. The diagnostic performance for early detection of non-small-cell lung carcinoma was assessed using Receiver Operating Characteristic (ROC) curve analyses. Compared to current cancer biomarker, CEA, several novel exosome proteins were discovered to have greater diagnostic value in lung cancer. Importantly, these exosome proteins and their signatures demonstrated excellent diagnostic performance in the early detection of lung cancer. Hence, the promising results derived from our exosome biomarker studies warrant a large-scale clinical trial.

 

Keynote Forum

Auj-E Taqaddas

Research Wormhole, Canada

Keynote: An e-survey of proton therapy in cancer treatment in USA

Time : 10:10-10:50

OMICS International Cancer diagnostics Conference 2018 International Conference Keynote Speaker Auj-E Taqaddas photo
Biography:

Auj-E Taqaddas has completed her MSc in Medical Physics and Bachelor’s degree in Chemistry, Botany and Zoology and BSc (Hons) Therapeutic Radiography. She is the author of first concise physics book on VMAT. She was first person to do a survey of IMRT and VMAT in UK in 2014. She works as independent research Medical Physicist and a journal Reviewer.

 

Abstract:

Proton Therapy (PT) is used in radiation oncology to treat cancer patients. PT offers advantages in terms of high Linear Energy Transfer (LET), Better Radiobiological Effect (RBE), low integral dose and fewer doses to organs at risks while providing conformal plans. Various techniques are employed to plan and deliver proton therapy across the world. Comparative studies of PT and Photon 3DCRT, IMRT and VMAT are limited and in some cases provide conflicting data. Moreover there is shortage of studies comparing various PT planning and delivery techniques. The use of proton therapy in cancer treatment is increasing globally. New centres are in line to open in near future. Therefore, it is important to draw on the knowledge and experience of experts already working in PT centres and hospitals to provide better PT treatment to cancer patients. This e-survey was carried out in United States of America to better understand the role of proton therapy in treatment planning and delivery and to improve the education and skill base of proton therapy treatment. This is a unique study and first of its kind. The results of the study intend to provide beneficial information to both current proton therapy centres/hospitals but also to upcoming new centres in different parts of the world so that cancer management could be improved.

 

OMICS International Cancer diagnostics Conference 2018 International Conference Keynote Speaker Jiancheng Hu photo
Biography:

Jiancheng Hu has completed his PhD training in 2007 from University of Colorado Health Sciences Centre and Postdoctoral studies in 2014 from Howard Hughes Medical Institute and Washington University in St. Louis. He is the Principal Investigator of Cellular and Molecular Research Division, National Cancer Centre Singapore. He has published more than 15 papers in reputed journals.

 

Abstract:

Although extensively studied for three decades, the molecular mechanism that regulates the RAF/MEK/ERK cascade remains ambiguous. Recent studies identified the dimerization of RAF as a key event in the activation of this cascade. Here, we show that in-frame deletions in the β3-αC loop activate ARAF, BRAF and MEK1 as well as other kinases in cancer genomes by enforcing homodimerization. These RAF and MEK1 mutants exhibit a strong oncogenic potential and differential inhibitor resistance. Using these unique mutants, we further demonstrate that RAF activates MEK in a dimer-to-dimer manner and that MEK is able to activate itself by homodimerization-driven transphosphorylation. This study defines a special catalogue of oncogenic kinase mutations and illustrates key steps in the activation of the RAF/MEK/ERK cascade.

 

Keynote Forum

Eisha Tahir

Shalamar Hospital, Pakistan

Keynote: Sensitivity and role of MRI in diagnosis of retinoblastoma in comparison with histopathology

Time : 11:50-12:30

OMICS International Cancer diagnostics Conference 2018 International Conference Keynote Speaker Eisha Tahir photo
Biography:

Eisha Tahir has completed her MBBS, FCPS in Diagnostic Radiology. She has completed her Fellowship under College of Physicians and Surgeons, Pakistan followed by local Breast Imaging Fellowship. She is enrolled for FRCR examination as well. She has participated in many local and international conferences. Currently she is working as Senior Registrar in Radiology Department in Shalamar Hospital Lahore.

 

Abstract:

Retinoblastoma (RB) is the most common intraocular tumor of childhood. It is a highly malignant tumor of the primitive neural retina. RB is one of the most challenging problems in pediatric ophthalmology and radiology because it shows different patterns of growth, extension and recurrence. MRI should be used to answer the key clinical questions that help in the selection of an appropriate line of treatment. To determine the positive predictive value of magnetic resonance imaging in the detection of retinoblastoma taking histopathology as gold standard study was carried out in department of diagnostic radiology, Children’s Hospital and Institute of Child Health, Lahore over a period of six months from 07-05-2012 to 06-11-2012. A total of 150 cases were included in this study. Standard MRI technique of orbit for evaluation of patients of retinoblastoma was included survey of images (axial, sagittal) followed by T1W and T2W images. Mean age of the patients was 23.61±7.49 months. Sex distribution shows, 87 patients (58.0%) were male while remaining 63 patients (42.0%) were female. True positive cases were 109 (72.6%) and false positive cases were 41 (27.4%). Positive predictive value was 72.6%. In conclusion, the results of this study suggest that MR imaging proved high positive predictive in the detection of retinoblastoma taking histopathology as gold standard.

 

Keynote Forum

Henry M Sobell

University of Rochester, USA

Keynote: The centers of premeltons signal the beginning and ends of genes

Time : 16:15-16:35

OMICS International Cancer diagnostics Conference 2018 International Conference Keynote Speaker Henry M Sobell photo
Biography:

Henry M Sobell has completed his studies at Brooklyn Technical High School, Columbia College and the University of Virginia School of Medicine. He went to the Massachusetts Institute of Technology (MIT) to join Professor Alexander Rich in the Department of Biology where, as a Helen Hay Whitney Postdoctoral Fellow,he learned the technique of single crystal X-ray analysis. He has then joined the Chemistry Department at the University of Rochester, having been subsequentlyjointly appointed to both the Chemistry and Molecular Biophysics departments becoming a full tenured Professor in both departments.

Abstract:

Premeltons are examples of emergent structures (i.e. structural solitons) that arise spontaneously in DNA due to the presence of non-linear excitations in its structure. They are of two kinds, B-B or A-A premeltons form at specific DNA-regions to nucleate site-specific DNA melting. These are stationary and being globally non-topological, undergo breather motions that allow drugs and dyes to intercalate into DNA. B-A or A-B premeltons, on the other hand, are mobile and being globally topological, act as phase-boundaries transforming B- into A- DNA during the structural phase-transition. They are not expected to undergo breather-motions. A key feature of both types of premeltons is the presence of an intermediate structural-form in their central regions (proposed as being a transition-state intermediate in DNA-melting and in the B- to A- transition), which differs from either A- or B- DNA. Called beta-DNA, this is both metastable and hyperflexible-and contains an alternating sugar-puckering pattern along the polymer-backbone combined with the partial-unstacking (in its lower energy-forms) of every other base-pair. Beta-DNA is connected to either B- or to A- DNA on either side by boundaries possessing a gradation of non-linear structural-change, these being called the kink and the antikink regions. The presence of premeltons in DNA leads to a unifying theory to understand much of DNA physical-chemistry and molecular-biology. Premeltons are predicted to define the 5’ and 3’ ends of genes in naked-DNA and DNA in active chromatin, this having important implications for understanding physical aspects of the initiation, elongation and termination of RNA synthesis during transcription. For these and other reasons, the model will be of broader interest to the general audience working in these areas. The model explains a wide variety of data and carries within it several experimental predictions all readily testable as will be described.