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https://www.readbyqxmd.com/read/28226351/-significance-and-contemplation-of-clinical-diagnosis-and-therapy-on-the-renewal-of-the-eighth-edition-of-gastric-cancer-tnm-staging-system
#1
Hongqing Xi, Kecheng Zhang, Bo Wei, Lin Chen
TNM staging is essential for clinical decision-making and prognostic prediction for patients with gastric cancer. The 7th TNM staging manual was formulated in 2009 and implemented in 2010. However, it was published that there were some deficiencies of the 7th edition of gastric cancer TNM staging system in clinical application process, and this old staging system could not meet the clinical needs. With the cooperation and promotion of the American Joint Committee on Cancer (AJCC), the International Union for Cancer Control (UICC) and the International Gastric Cancer Association (IGCA), and through the accumulation and analysis of gastric cancer big data, the 8th TNM staging system was published at the end of 2016...
February 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28215665/11-years-follow-up-of-trastuzumab-after-adjuvant-chemotherapy-in-her2-positive-early-breast-cancer-final-analysis-of-the-herceptin-adjuvant-hera-trial
#2
David Cameron, Martine J Piccart-Gebhart, Richard D Gelber, Marion Procter, Aron Goldhirsch, Evandro de Azambuja, Gilberto Castro, Michael Untch, Ian Smith, Luca Gianni, Jose Baselga, Nedal Al-Sakaff, Sabine Lauer, Eleanor McFadden, Brian Leyland-Jones, Richard Bell, Mitch Dowsett, Christian Jackisch
BACKGROUND: Clinical trials have shown that trastuzumab, a recombinant monoclonal antibody against HER2 receptor, significantly improves overall survival and disease-free survival in women with HER2-positive early breast cancer, but long-term follow-up data are needed. We report the results of comparing observation with two durations of trastuzumab treatment at a median follow-up of 11 years, for patients enrolled in the HERA (HERceptin Adjuvant) trial. METHODS: HERA (BIG 1-01) is an international, multicentre, open-label, phase 3 randomised trial of 5102 women with HER2-positive early breast cancer, who were enrolled from hospitals in 39 countries between Dec 7, 2001, and June 20, 2005...
February 16, 2017: Lancet
https://www.readbyqxmd.com/read/28187294/comprehensible-knowledge-model-creation-for-cancer-treatment-decision-making
#3
Muhammad Afzal, Maqbool Hussain, Wajahat Ali Khan, Taqdir Ali, Sungyoung Lee, Eui-Nam Huh, Hafiz Farooq Ahmad, Arif Jamshed, Hassan Iqbal, Muhammad Irfan, Manzar Abbas Hydari
BACKGROUND: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and education. One of the big hurdles in developing such systems is the lack of automated mechanisms for knowledge acquisition to enable and educate clinicians in informed decision making. MATERIALS AND METHODS: An automated knowledge acquisition methodology with a comprehensible knowledge model for cancer treatment (CKM-CT) is proposed...
January 29, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28163155/next-generation-sequencing-big-data-meets-high-performance-computing
#4
REVIEW
Bertil Schmidt, Andreas Hildebrandt
The progress of next-generation sequencing has a major impact on medical and genomic research. This high-throughput technology can now produce billions of short DNA or RNA fragments in excess of a few terabytes of data in a single run. This leads to massive datasets used by a wide range of applications including personalized cancer treatment and precision medicine. In addition to the hugely increased throughput, the cost of using high-throughput technologies has been dramatically decreasing. A low sequencing cost of around US$1000 per genome has now rendered large population-scale projects feasible...
February 2, 2017: Drug Discovery Today
https://www.readbyqxmd.com/read/28162205/-calm-thinking-for-precision-medicine-of-breast-cancer-in-the-boom
#5
Z F Jiang, F R Xu
In the past two years, researchers have been exploring the precision medicine. Thanks to the development of sequence industry and clinical study, the big data about the precision medicine have been more and more sufficient. However, how to deal with the precision data is still a question for clinicians. We focus on the hot issues that disturb clinicians most, wanting to help them to make suitable decisions between the traditional and precision medicine of breast cancer. We believe the precision medicine is on the way...
February 1, 2017: Zhonghua Wai Ke za Zhi [Chinese Journal of Surgery]
https://www.readbyqxmd.com/read/28154510/multiple-group-testing-procedures-for-analysis-of-high-dimensional-genomic-data
#6
Hyoseok Ko, Kipoong Kim, Hokeun Sun
In genetic association studies with high-dimensional genomic data, multiple group testing procedures are often required in order to identify disease/trait-related genes or genetic regions, where multiple genetic sites or variants are located within the same gene or genetic region. However, statistical testing procedures based on an individual test suffer from multiple testing issues such as the control of family-wise error rate and dependent tests. Moreover, detecting only a few of genes associated with a phenotype outcome among tens of thousands of genes is of main interest in genetic association studies...
December 2016: Genomics & Informatics
https://www.readbyqxmd.com/read/28148207/clinical-cancer-advances-2017-annual-report-on-progress-against-cancer-from-the-american-society-of-clinical-oncology
#7
Harold J Burstein, Lada Krilov, Jeanny B Aragon-Ching, Nancy N Baxter, E Gabriela Chiorean, Warren Allen Chow, John Frederick De Groot, Steven Michael Devine, Steven G DuBois, Wafik S El-Deiry, Andrew S Epstein, John Heymach, Joshua Adam Jones, Deborah K Mayer, Rebecca A Miksad, Nathan A Pennell, Michael S Sabel, Richard L Schilsky, Lynn Mara Schuchter, Nadine Tung, Karen Marie Winkfield, Lori J Wirth, Don S Dizon
A MESSAGE FROM ASCO'S PRESIDENT I am pleased to present Clinical Cancer Advances 2017, which highlights the most promising advances in patient-oriented cancer research over the past year. The report gives us an opportunity to reflect on what an exciting time it is for cancer research and how swiftly our understanding of cancer has improved. One year ago, the White House announced the national Cancer Moonshot program to accelerate progress against cancer. This shared vision of progress has reinvigorated the research community, identified new areas of scientific collaboration, and raised our ambitions regarding what may be possible beyond the progress we have already made...
February 1, 2017: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28118106/qualitative-study-of-oncologists-views-on-the-cancerlinq-rapid-learning-system
#8
Rachel M Mayo, Julie F Summey, Joel E Williams, Rebecca A Spence, Shally Kim, Reshma Jagsi
INTRODUCTION: ASCO is actively developing CancerLinQ (CLQ), a rapid learning system for oncology care. The purpose of this study was to explore providers' opinions and concerns related to implementation of CLQ, including ethical issues. METHODS: Twenty key informant oncologists were recruited for individual in-depth interviews through ASCO contacts, purposively selected to represent a wide variety of cancer specialties as well as different levels of familiarity with CLQ (familiar v unfamiliar)...
January 24, 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/28113782/cancer-subtype-discovery-based-on-integrative-model-of-multigenomic-data
#9
Shu-Guang Ge, Junfeng Xia, Wen Sha, Chun-Hou Zheng
One major goal of large-scale cancer omics study is to understand molecular mechanisms of cancer and find new biomedical targets. To deal with the high-dimensional multidimensional cancer omics data (DNA methylation, mRNA expression, etc.), which can be used to discover new insight on identifying cancer subtypes, clustering methods are usually used to find an effective low-dimensional subspace of the original data and then cluster cancer samples in the reduced subspace. However, due to data-type diversity and big data volume, few methods can integrate these data and map them into an effective low-dimensional subspace...
October 26, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28113169/the-case-for-big-data-new-york-city-s-kalvi-human-project-aims-to-use-big-data-in-resolving-big-health-questions
#10
Leslie Mertz
Cigarette smoking is tied to lung cancer, but people still smoke. Why do people start smoking in the first place? That is one of the many complex, interdisciplinary questions behind the Kavli HUMAN Project (http://kavlihumanproject.org), a massive data-collection endeavor with the goal of learning how everything-from biology to behavior and environment-affects the human condition.
September 2016: IEEE Pulse
https://www.readbyqxmd.com/read/28111421/combined-approaches-using-adverse-outcome-pathways-and-big-data-to-find-potential-diseases-associated-with-humidifier-disinfectant
#11
Jong-Han Leem, Kyu Hyuck Chung
According to previous survey, about two million of people were expected to suffer from toxic effects due to humidifier disinfectant (HD), regardless of healing or not. Extremely small group are recognized as HDs' victims. Up to now, previous research tried to focus on interstitial fibrosis on terminal bronchiole because it is specific finding, compared with other diseases. To figure out overall effects from HDs, we recommend adverse outcome pathways (AOPs) as new approach. Reactive oxygen species (ROS) generation, decreased T-cell and pro-inflammatory cytokine release from macrophage could be key events between the exposure to HDs and diseases...
2016: Environmental Health and Toxicology
https://www.readbyqxmd.com/read/28110651/mass-spectrometry-imaging-for-the-investigation-of-intratumor-heterogeneity
#12
B Balluff, M Hanselmann, R M A Heeren
One of the big clinical challenges in the treatment of cancer is the different behavior of cancer patients under guideline therapy. An important determinant for this phenomenon has been identified as inter- and intratumor heterogeneity. While intertumor heterogeneity refers to the differences in cancer characteristics between patients, intratumor heterogeneity refers to the clonal and nongenetic molecular diversity within a patient. The deciphering of intratumor heterogeneity is recognized as key to the development of novel therapeutics or treatment regimens...
2017: Advances in Cancer Research
https://www.readbyqxmd.com/read/28109319/for-robust-big-data-analyses-a-collection-of-150-important-pro-metastatic-genes
#13
REVIEW
Yan Mei, Jun-Ping Yang, Chao-Nan Qian
Metastasis is the greatest contributor to cancer-related death. In the era of precision medicine, it is essential to predict and to prevent the spread of cancer cells to significantly improve patient survival. Thanks to the application of a variety of high-throughput technologies, accumulating big data enables researchers and clinicians to identify aggressive tumors as well as patients with a high risk of cancer metastasis. However, there have been few large-scale gene collection studies to enable metastasis-related analyses...
January 21, 2017: Chinese Journal of Cancer
https://www.readbyqxmd.com/read/28094538/the-obesity-paradox-in-colorectal-cancer-surgery-an-analysis-of-korean-healthcare-big-data-2012-2013
#14
Sanghun Lee
Although it is well known that obesity increases the risk of colorectal cancer, several studies have recently suggested that those who are overweight or class-one obese have better outcomes after surgery. However, the impact of obesity on the success of colorectal cancer surgery remains controversial. The medical records of patients diagnosed with colorectal cancer who were treated surgically from 2012 through 2013 were retrospectively analyzed. Data from a total of 36,740 patients were provided by the Healthcare Big Data Hub of the Korean Health Insurance Review & Assessment Service...
January 17, 2017: Nutrition and Cancer
https://www.readbyqxmd.com/read/28089726/hne-and-cholesterol-oxidation-products-in-colorectal-inflammation-and-carcinogenesis
#15
Daniela Rossin, Simone Calfapietra, Barbara Sottero, Giuseppe Poli, Fiorella Biasi
Consistent experimental data suggest the importance of inflammation-associated oxidative stress in colorectal cancer (CRC) pathogenesis. Inflammatory bowel disease with chronic intestinal inflammation is now considered a precancerous condition. Oxidative stress is an essential feature of inflammation. Activation of redox-sensitive pro-inflammatory cell signals and inflammatory mediators concur to establish a pro-tumoral environment. In this frame, lipid oxidation products, namely 4-hydroxynonenal and oxysterols, can be produced in big quantity so as to be able to exert their function as inducers of cell signaling pathways of proliferation and survival...
January 12, 2017: Free Radical Biology & Medicine
https://www.readbyqxmd.com/read/28079526/a-measurement-based-generalized-source-model-for-monte-carlo-dose-simulations-of-ct-scans
#16
Xin Ming, Yuanming Feng, Ransheng Liu, Chengwen Yang, Li Zhou, Hezheng Zhai, Jun Deng
The goal of this study is to develop a generalized source model for accurate Monte Carlo dose simulations of CT scans based solely on the measurement data without a priori knowledge of scanner specifications. The proposed generalized source model consists of an extended circular source located at x-ray target level with its energy spectrum, source distribution and fluence distribution derived from a set of measurement data conveniently available in the clinic. Specifically, the central axis percent depth dose (PDD) curves measured in water and the cone output factors measured in air were used to derive the energy spectrum and the source distribution respectively with a Levenberg-Marquardt algorithm...
March 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28062977/angiopoietin-pathway-gene-expression-associated-with-poor-breast-cancer-survival
#17
Rajesh Ramanathan, Amy L Olex, Mikhail Dozmorov, Harry D Bear, Leopoldo Jose Fernandez, Kazuaki Takabe
PURPOSE: Angiogenesis is one of the hallmarks of cancer and is essential for cancer progression and metastasis. However, clinical trials with vascular endothelial growth factor (VEGF) pathway inhibitors have failed to show overall survival benefit in breast cancer. Targeted therapy against the angiopoietin pathway, a downstream angiogenesis cascade, could be effective in breast cancer. This study investigates the association of angiopoietin pathway gene expression with breast cancer survival using a "big data" approach employing RNA sequencing data from The Cancer Genome Atlas (TCGA)...
February 2017: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/28059608/near-future-of-tumor-immunology-anticipating-resistance-mechanisms-to-immunotherapies-a-big-challenge-for-clinical-trials
#18
João Paulo Portela Catani, Sandy Adjemian, Rachel P Riechelmann, Bryan E Strauss
The success of immunotherapies brings hope for the future of cancer treatment. Even so, we are faced with a new challenge, that of understanding which patients will respond initially and, possibly, develop resistance. The examination of the immune profile, especially approaches related to the immunoscore, may foretell which tumors will have a positive initial response. Ideally, the mutation load would also be analysed, helping to reveal tumor associated antigens that are predictive of an effective cytolytic attack...
January 6, 2017: Human Vaccines & Immunotherapeutics
https://www.readbyqxmd.com/read/28048881/we-h-brb-02-where-do-we-stand-in-the-applications-of-big-data-in-radiation-oncology
#19
L Xing
: Big Data in Radiation Oncology: (1) Overview of the NIH 2015 Big Data Workshop, (2) Where do we stand in the applications of big data in radiation oncology?, and (3) Learning Health Systems for Radiation Oncology: Needs and Challenges for Future Success The overriding goal of this trio panel of presentations is to improve awareness of the wide ranging opportunities for big data impact on patient quality care and enhancing potential for research and collaboration opportunities with NIH and a host of new big data initiatives...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048759/tu-a-207b-00-imaging-genomics-associations-and-biological-correlates-of-radiomics
#20
Yitan Zhu
With the growth of quantitative imaging and quantitative image analysis, image-based biomarkers (i.e. image-based phenotypes) are becoming potential descriptors in personalized medicine as well as in cancer discovery research. Genomic study measures molecular cancer status and provides abundant information about cancer development mechanism. There is a need to understand the relationship between the image-based cancer phenotypes (from radiomics) and the underlying molecular and genomic system. Imaging scientists and genomic scientists need to be able to speak the same language in this common era of Big Data...
June 2016: Medical Physics
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