Evidence map›Paper›PMID 28904062›Full record

ArticleCancer research2017

Optical Coherence Tomography Detects Necrotic Regions and Volumetrically Quantifies Multicellular Tumor Spheroids.

Yongyang Huang, Shunqiang Wang, Qiongyu Guo, Sarah Kessel, Ian Rubinoff, Leo Li-Ying Chan, Peter Li, Yaling Liu, Jean Qiu, Chao Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

65 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

10 authors at 1 institution in 1 country.

Yongyang HuangDepartment of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.
Shunqiang WangDepartment of Mechanical Engineering, Lehigh University, Bethlehem, Pennsylvania.
Qiongyu GuoDepartment of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.
Sarah KesselDepartment of Technology R&D, Nexcelom Bioscience LLC, Lawrence, Massachusetts.
Ian RubinoffDepartment of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania.
Leo Li-Ying ChanDepartment of Technology R&D, Nexcelom Bioscience LLC, Lawrence, Massachusetts.
Peter LiDepartment of Technology R&D, Nexcelom Bioscience LLC, Lawrence, Massachusetts.
Yaling LiuDepartment of Mechanical Engineering, Lehigh University, Bethlehem, Pennsylvania.
Jean QiuDepartment of Technology R&D, Nexcelom Bioscience LLC, Lawrence, Massachusetts.
Chao ZhouDepartment of Electrical and Computer Engineering, Lehigh University, Bethlehem, Pennsylvania. chaozhou@lehigh.edu.
Lehigh University · US

Funding

Novel optical imaging and pacing platform for developmental cardiologyR15EB019704 · NIBIB · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY · 2015 to 2015
$470k
Space-division multiplexing optical coherence tomography for large-scale, millisecond resolution imaging of neural activityR21EY026380 · NEI · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY, ZHOU, CHAO · 2015 to 2016
$468k
NEI NIH HHS R21 EY026380NIBIB NIH HHS R15 EB019704
6 · The paper itself

Abstract

Three-dimensional (3D) tumor spheroid models have gained increased recognition as important tools in cancer research and anticancer drug development. However, currently available imaging approaches used in high-throughput screening drug discovery platforms, for example, bright-field, phase contrast, and fluorescence microscopies, are unable to resolve 3D structures deep inside (>50 μm) tumor spheroids. In this study, we established a label-free, noninvasive optical coherence tomography (OCT) imaging platform to characterize 3D morphologic and physiologic information of multicellular tumor spheroids (MCTS) growing from approximately 250 to 600 μm in height over 21 days. In particular, tumor spheroids of two cell lines, glioblastoma (U-87MG) and colorectal carcinoma (HCT116), exhibited distinctive evolutions in their geometric shapes at late growth stages. Volumes of MCTS were accurately quantified using a voxel-based approach without presumptions of their geometries. In contrast, conventional diameter-based volume calculations assuming perfect spherical shape resulted in large quantification errors. Furthermore, we successfully detected necrotic regions within these tumor spheroids based on increased intrinsic optical attenuation, suggesting a promising alternative of label-free viability tests in tumor spheroids. Therefore, OCT can serve as a promising imaging modality to characterize morphologic and physiologic features of MCTS, showing great potential for high-throughput drug screening.

Indexed as

Cell Culture TechniquesCell Line, TumorCell SurvivalHCT116 CellsHumansImaging, Three-DimensionalNecrosisNeoplasmsReproducibility of ResultsSpheroids, CellularTime FactorsTomography, Optical Coherence

Identifiers

PMID28904062
PMCPMC5866924
OpenAlexW2756182653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.