Evidence map›Paper›PMID 28824722›Full record

ArticleTheranostics2017

Blood Droplet-Based Cancer Diagnosis via Proteolytic Activity Measurement in Cancer Progression.

Jin Woo Choi, Hyungbeen Lee, Gyudo Lee, Yi Rang Kim, Myung-Ju Ahn, Heung Jae Park, Kilho Eom, Taeyun Kwon

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. 5-Methylcytosine (mFrontiers in immunology · 2022
    Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Jin Woo ChoiLaboratory of Pharmacogenetics, College of Pharmacy, Kyung Hee University, Seoul 02447, Republic of Korea.
Hyungbeen LeeDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
Gyudo LeeSchool of Public Health, Harvard University, Boston, MA 02115, USA.
Yi Rang KimDepartment of Hemato-Oncology, Yuseong Sun Hospital, Daejeon 34078, Republic of Korea.
Myung-Ju AhnSection of Hematology-Oncology, Samsung Medical Center, and Sungkyunkwan University (SKKU) School of Medicine, Seoul 06351, Republic of Korea.
Heung Jae ParkDepartment of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University (SKKU) School of Medicine, Seoul 03181, Republic of Korea.
Kilho EomBiomechanics Laboratory, College of Sport Science, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
Taeyun KwonSKKU Advanced Institute of Nano Technology (SAINT), Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea.
Sungkyunkwan University · KRDaejeon Sun Hospital · KRHarvard University · USKyung Hee University · KRSamsung Medical Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix metalloproteinase (MMP) is a key marker and target molecule for cancer diagnosis, as MMP is able to cleave peptide chains resulting in degradation of extracellular matrix (ECM), a necessary step for cancer development. In particular, MMP2 has recently been recognized as an important biomarker for lung cancer. Despite the important role of detecting MMP molecules in cancer diagnosis, it is a daunting task to quantitatively understand a correlation between the status of cancer development and the secretion level of MMP in a blood droplet. Here, we demonstrate a nanoscale cancer diagnosis by nanomechanical quantitation of MMP2 molecules under cancer progression with using a blood droplet of lung cancer patients. Specifically, we measured the frequency dynamics of nanomechanical biosensor functionalized with peptide chains mimicking ECM in response to MMP2 secreted from tumors in lung with different metastasis level. It is shown that the frequency shift of the biosensor, which exhibits the detection sensitivity below 1 nM, enables the quantitation of the secretion level of MMP2 molecules during the progression of cancer cells or tumor growth. More importantly, using a blood droplet of lung cancer patients, nanomechanical biosensor is shown to be capable of depicting the correlation between the secretion level of MMP2 molecules and the level of cancer metastasis, which highlights the cantilever-based MMP2 detection for diagnosis of lung cancer. Our finding will broaden the understanding of cancer development activated by MMP and allow for a fast and point-of-care cancer diagnostics.

Indexed as

Blood Chemical AnalysisBiosensing TechniquesDiagnostic Tests, RoutineDisease ProgressionHumansLung NeoplasmsMatrix Metalloproteinase 2NanotechnologyMatrix Metalloproteinase 2MMP2 protein, humancancer diagnosismatrix metalloproteinasenanomechanical detection.proteolysis

Identifiers

PMID28824722
PMCPMC5562222
OpenAlexW2735037552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.