Literature DB >> 34489588

Synthetic biomarkers: a twenty-first century path to early cancer detection.

Gabriel A Kwong1,2,3,4,5, Sharmistha Ghosh6, Lena Gamboa7, Christos Patriotis8, Sudhir Srivastava9, Sangeeta N Bhatia10,11,12,13,14.   

Abstract

Detection of cancer at an early stage when it is still localized improves patient response to medical interventions for most cancer types. The success of screening tools such as cervical cytology to reduce mortality has spurred significant interest in new methods for early detection (for example, using non-invasive blood-based or biofluid-based biomarkers). Yet biomarkers shed from early lesions are limited by fundamental biological and mass transport barriers - such as short circulation times and blood dilution - that limit early detection. To address this issue, synthetic biomarkers are being developed. These represent an emerging class of diagnostics that deploy bioengineered sensors inside the body to query early-stage tumours and amplify disease signals to levels that could potentially exceed those of shed biomarkers. These strategies leverage design principles and advances from chemistry, synthetic biology and cell engineering. In this Review, we discuss the rationale for development of biofluid-based synthetic biomarkers. We examine how these strategies harness dysregulated features of tumours to amplify detection signals, use tumour-selective activation to increase specificity and leverage natural processing of bodily fluids (for example, blood, urine and proximal fluids) for easy detection. Finally, we highlight the challenges that exist for preclinical development and clinical translation of synthetic biomarker diagnostics.
© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

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Year:  2021        PMID: 34489588      PMCID: PMC8791024          DOI: 10.1038/s41568-021-00389-3

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  156 in total

Review 1.  Machine Learning in Medicine.

Authors:  Alvin Rajkomar; Jeffrey Dean; Isaac Kohane
Journal:  N Engl J Med       Date:  2019-04-04       Impact factor: 91.245

2.  Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Authors:  Nikolaos Perakakis; Alireza Yazdani; George E Karniadakis; Christos Mantzoros
Journal:  Metabolism       Date:  2018-08-08       Impact factor: 8.694

Review 3.  Cancer Genome Evolutionary Trajectories in Metastasis.

Authors:  Nicolai J Birkbak; Nicholas McGranahan
Journal:  Cancer Cell       Date:  2020-01-13       Impact factor: 31.743

Review 4.  The history of the angiogenic switch concept.

Authors:  D Ribatti; B Nico; E Crivellato; A M Roccaro; A Vacca
Journal:  Leukemia       Date:  2006-09-21       Impact factor: 11.528

5.  Reduced lung-cancer mortality with low-dose computed tomographic screening.

Authors:  Denise R Aberle; Amanda M Adams; Christine D Berg; William C Black; Jonathan D Clapp; Richard M Fagerstrom; Ilana F Gareen; Constantine Gatsonis; Pamela M Marcus; JoRean D Sicks
Journal:  N Engl J Med       Date:  2011-06-29       Impact factor: 91.245

6.  Classification of prostate cancer using a protease activity nanosensor library.

Authors:  Jaideep S Dudani; Maria Ibrahim; Jesse Kirkpatrick; Andrew D Warren; Sangeeta N Bhatia
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-20       Impact factor: 11.205

Review 7.  Beyond PSA: the next generation of prostate cancer biomarkers.

Authors:  John R Prensner; Mark A Rubin; John T Wei; Arul M Chinnaiyan
Journal:  Sci Transl Med       Date:  2012-03-28       Impact factor: 17.956

8.  A sensing array of radically coupled genetic 'biopixels'.

Authors:  Arthur Prindle; Phillip Samayoa; Ivan Razinkov; Tal Danino; Lev S Tsimring; Jeff Hasty
Journal:  Nature       Date:  2011-12-18       Impact factor: 49.962

9.  Exogenous marker-engineered mesenchymal stem cells detect cancer and metastases in a simple blood assay.

Authors:  Linan Liu; Shirley X Zhang; Rangoli Aeran; Wenbin Liao; Mengrou Lu; George Polovin; Egest J Pone; Weian Zhao
Journal:  Stem Cell Res Ther       Date:  2015-09-21       Impact factor: 6.832

Review 10.  Roles of telomeres and telomerase in cancer, and advances in telomerase-targeted therapies.

Authors:  Mohammad A Jafri; Shakeel A Ansari; Mohammed H Alqahtani; Jerry W Shay
Journal:  Genome Med       Date:  2016-06-20       Impact factor: 11.117

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  10 in total

1.  Urinary detection of early responses to checkpoint blockade and of resistance to it via protease-cleaved antibody-conjugated sensors.

Authors:  Quoc D Mac; Anirudh Sivakumar; Hathaichanok Phuengkham; Congmin Xu; James R Bowen; Fang-Yi Su; Samuel Z Stentz; Hyoungjun Sim; Adrian M Harris; Tonia T Li; Peng Qiu; Gabriel A Kwong
Journal:  Nat Biomed Eng       Date:  2022-03-03       Impact factor: 29.234

Review 2.  Nanomaterial-assisted CRISPR gene-engineering - A hallmark for triple-negative breast cancer therapeutics advancement.

Authors:  Jabeen Farheen; Narayan S Hosmane; Ruibo Zhao; Qingwei Zhao; M Zubair Iqbal; Xiangdong Kong
Journal:  Mater Today Bio       Date:  2022-10-04

Review 3.  The future of early cancer detection.

Authors:  Rebecca C Fitzgerald; Antonis C Antoniou; Ljiljana Fruk; Nitzan Rosenfeld
Journal:  Nat Med       Date:  2022-04-19       Impact factor: 87.241

Review 4.  Local Investigators Significantly Overestimate Overall Response Rates Compared to Blinded Independent Central Reviews in Uncontrolled Oncology Trials: A Comprehensive Review of the Literature.

Authors:  Cinzia Dello Russo; Pierluigi Navarra
Journal:  Front Pharmacol       Date:  2022-05-16       Impact factor: 5.988

5.  Dimensionless parameter predicts bacterial prodrug success.

Authors:  Brandon Alexander Holt; McKenzie Tuttle; Yilin Xu; Melanie Su; Joachim J Røise; Xioajian Wang; Niren Murthy; Gabriel A Kwong
Journal:  Mol Syst Biol       Date:  2022-01       Impact factor: 11.429

6.  Cancer nanomedicine.

Authors:  Sangeeta N Bhatia; Xiaoyuan Chen; Marina A Dobrovolskaia; Twan Lammers
Journal:  Nat Rev Cancer       Date:  2022-08-08       Impact factor: 69.800

7.  Design of a Lab-On-Chip for Cancer Cell Detection through Impedance and Photoelectrochemical Response Analysis.

Authors:  Yu-Ping Hsiao; Arvind Mukundan; Wei-Chung Chen; Ming-Tsang Wu; Shang-Chin Hsieh; Hsiang-Chen Wang
Journal:  Biosensors (Basel)       Date:  2022-06-13

Review 8.  Molecular Biomarkers in Cancer.

Authors:  Virinder Kaur Sarhadi; Gemma Armengol
Journal:  Biomolecules       Date:  2022-07-23

9.  Protease Activity Analysis: A Toolkit for Analyzing Enzyme Activity Data.

Authors:  Ava P Soleimany; Carmen Martin-Alonso; Melodi Anahtar; Cathy S Wang; Sangeeta N Bhatia
Journal:  ACS Omega       Date:  2022-07-06

10.  Multiscale profiling of protease activity in cancer.

Authors:  Ava P Amini; Jesse D Kirkpatrick; Cathy S Wang; Alex M Jaeger; Susan Su; Santiago Naranjo; Qian Zhong; Christina M Cabana; Tyler Jacks; Sangeeta N Bhatia
Journal:  Nat Commun       Date:  2022-10-03       Impact factor: 17.694

  10 in total

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