Literature DB >> 21364687

Emerging molecular biomarkers--blood-based strategies to detect and monitor cancer.

Samir M Hanash1, Christina S Baik, Olli Kallioniemi.   

Abstract

There is an urgent need for blood-based, noninvasive molecular tests to assist in the detection and diagnosis of cancers in a cost-effective manner at an early stage, when curative interventions are still possible. Additionally, blood-based diagnostics can classify tumors into distinct molecular subtypes and monitor disease relapse and response to treatment. Increasingly, biomarker strategies are becoming critical to identify a specific patient subpopulation that is likely to respond to a new therapeutic agent. The improved understanding of the underlying molecular features of common cancers and the availability of a multitude of recently developed technologies to interrogate the genome, transcriptome, proteome and metabolome of tumors and biological fluids have made it possible to develop clinically applicable and cost-effective tests for many common cancers. Overall, the paradigm shift towards personalized and individualized medicine relies heavily on the increased use of diagnostic biomarkers and classifiers to improve diagnosis, management and treatment. International collaborations, involving both the private and public sector will be required to facilitate the development of clinical applications of biomarkers, using rigorous standardized assays. Here, we review the recent technological and scientific advances in this field.

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Year:  2011        PMID: 21364687     DOI: 10.1038/nrclinonc.2010.220

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  92 in total

1.  An integrative genomics approach to infer causal associations between gene expression and disease.

Authors:  Eric E Schadt; John Lamb; Xia Yang; Jun Zhu; Steve Edwards; Debraj Guhathakurta; Solveig K Sieberts; Stephanie Monks; Marc Reitman; Chunsheng Zhang; Pek Yee Lum; Amy Leonardson; Rolf Thieringer; Joseph M Metzger; Liming Yang; John Castle; Haoyuan Zhu; Shera F Kash; Thomas A Drake; Alan Sachs; Aldons J Lusis
Journal:  Nat Genet       Date:  2005-06-19       Impact factor: 38.330

Review 2.  Biomarkers for lung cancer: clinical uses.

Authors:  Alissa K Greenberg; M Sung Lee
Journal:  Curr Opin Pulm Med       Date:  2007-07       Impact factor: 3.155

Review 3.  Metabolomics: available results, current research projects in breast cancer, and future applications.

Authors:  Wederson Marcos Claudino; Alessandro Quattrone; Laura Biganzoli; Marta Pestrin; Ivano Bertini; Angelo Di Leo
Journal:  J Clin Oncol       Date:  2007-05-14       Impact factor: 44.544

Review 4.  Circulating tumour cells in cancer patients: challenges and perspectives.

Authors:  Klaus Pantel; Catherine Alix-Panabières
Journal:  Trends Mol Med       Date:  2010-07-29       Impact factor: 11.951

Review 5.  Free circulating nucleic acids in plasma and serum (CNAPS) -- Useful for the detection of lung cancer patients?

Authors:  Michael Fleischhacker; Bernd Schmidt
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

6.  Elevated serum level of sialylated glycoprotein KL-6 predicts a poor prognosis in patients with non-small cell lung cancer treated with gefitinib.

Authors:  Yoshiro Fujiwara; Katsuyuki Kiura; Shinichi Toyooka; Katsuyuki Hotta; Masahiro Tabata; Nagio Takigawa; Junichi Soh; Yasushi Tanimoto; Arihiko Kanehiro; Katsuya Kato; Hiroshi Date; Mitsune Tanimoto
Journal:  Lung Cancer       Date:  2007-08-31       Impact factor: 5.705

7.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.

Authors:  M Kaneko; K Eguchi; H Ohmatsu; R Kakinuma; T Naruke; K Suemasu; N Moriyama
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

8.  A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Authors:  Richard G Moore; D Scott McMeekin; Amy K Brown; Paul DiSilvestro; M Craig Miller; W Jeffrey Allard; Walter Gajewski; Robert Kurman; Robert C Bast; Steven J Skates
Journal:  Gynecol Oncol       Date:  2008-10-12       Impact factor: 5.482

9.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

10.  Lung cancer screening with low-dose computed tomography: Canadian experience.

Authors:  Heidi C Roberts; Demetris Patsios; Narinder S Paul; Maureen McGregor; Gordon Weisbrod; Taebong Chung; Steven Herman; Scott Boerner; Thomas Waddell; Shafique Keshavjee; Gail Darling; Andre Pereira; Ashwini Kale; Hamid Bayanati; Igor Sitartchouk; Ming Tsao; Frances A Shepherd
Journal:  Can Assoc Radiol J       Date:  2007-10       Impact factor: 2.248

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  96 in total

1.  Serum DNA methylation for monitoring response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Ayelet Avraham; Ronit Uhlmann; Aino Shperber; Miriam Birnbaum; Judith Sandbank; Avishay Sella; Saraswati Sukumar; Ella Evron
Journal:  Int J Cancer       Date:  2012-04-04       Impact factor: 7.396

Review 2.  Screening for colorectal cancer: established and emerging modalities.

Authors:  Nikhil Pawa; Tan Arulampalam; John D Norton
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2011-11-01       Impact factor: 46.802

3.  The human circadian metabolome.

Authors:  Robert Dallmann; Antoine U Viola; Leila Tarokh; Christian Cajochen; Steven A Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-31       Impact factor: 11.205

Review 4.  Droplet microfluidics for high-sensitivity and high-throughput detection and screening of disease biomarkers.

Authors:  Aniruddha M Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2018-05-24

5.  Analysis of circulating non-coding RNAs in a non-invasive and cost-effective manner.

Authors:  Yu-Min Wang; Michael Patrick Trinh; Yongzan Zheng; Kaizhu Guo; Luis A Jimenez; Wenwan Zhong
Journal:  Trends Analyt Chem       Date:  2019-07-05       Impact factor: 12.296

6.  Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens.

Authors:  Darue A Prieto; Donald J Johann; Bih-Rong Wei; Xiaoying Ye; King C Chan; Dwight V Nissley; R Mark Simpson; Deborah E Citrin; Crystal L Mackall; W Marston Linehan; Josip Blonder
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

7.  Multiplexed microRNA Expression Profiling by Combined Asymmetric PCR and Label-Free Detection using Silicon Photonic Sensor Arrays.

Authors:  Richard M Graybill; Maria C Cardenosa-Rubio; Hongwei Yang; Mark D Johnson; Ryan C Bailey
Journal:  Anal Methods       Date:  2018-03-23       Impact factor: 2.896

8.  Detection of novel biomarkers for ovarian cancer with an optical nanotechnology detection system enabling label-free diagnostics.

Authors:  Simon Kaja; Jill D Hilgenberg; Julie L Collins; Anna A Shah; Debra Wawro; Shelby Zimmerman; Robert Magnusson; Peter Koulen
Journal:  J Biomed Opt       Date:  2012-08       Impact factor: 3.170

9.  Serum miR-16 as a potential biomarker for human cancer diagnosis: results from a large-scale population.

Authors:  Zebo Huang; Wenjiao Chen; Yiping Du; Qin Guo; Yong Mao; Xin Zhou; Dong Hua
Journal:  J Cancer Res Clin Oncol       Date:  2019-01-31       Impact factor: 4.553

10.  Analysis of serum total and free PSA using immunoaffinity depletion coupled to SRM: correlation with clinical immunoassay tests.

Authors:  Tao Liu; Mahmud Hossain; Athena A Schepmoes; Thomas L Fillmore; Lori J Sokoll; Scott R Kronewitter; Grant Izmirlian; Tujin Shi; Wei-Jun Qian; Robin J Leach; Ian M Thompson; Daniel W Chan; Richard D Smith; Jacob Kagan; Sudhir Srivastava; Karin D Rodland; David G Camp
Journal:  J Proteomics       Date:  2012-02-13       Impact factor: 4.044

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