Cited by 823D Printing in Biomedical ResearchCancer Cells and MetastasisHydrogels: synthesis, properties, applications

Pleural Effusion Aspirate for Use in 3D Lung Cancer Modeling and Chemotherapy Screening

Open access
Mazzocchi, Andrea, Devarasetty, Mahesh, Herberg, Samuel, Petty, William J., Marini, Frank, Miller, Lance, Kucera, Gregory, Dukes, David K. +3 more·2019·ACS Biomaterials Science & Engineering

Abstract

Lung cancer is the leading cause of cancer-related death worldwide, yet in vitro disease models have been limited to traditional 2D culture utilizing cancer cell lines. In contrast, recently developed 3D models (organoids) have been adopted by researchers to improve the physiological relevance of laboratory study. We have hypothesized that 3D hydrogel-based models will allow for improved disease replication and characterization over standard 2D culture using cells taken directly from patients. Here, we have leveraged the use of 3D hydrogel-based models to create lung cancer organoids using a unique cell source, pleural effusion aspirate, from multiple lung cancer patients. With these 3D models, we have characterized the cell populations comprising the pleural effusion aspirate and have tracked phenotypic changes that develop during short-term in vitro culture. We found that isolated, patient cells placed directly into organoids created anatomically relevant structures and exhibited lung-cancer-specific behaviors. On the other hand, cells first grown in plastic dishes and then cultured in 3D did not create similar structures. Further, we have been able to compare chemotherapeutic response of patient cells between 2D and 3D cell culture systems. Our results show that cells in 2D culture were more sensitive to treatment when compared with 3D organoids. Collectively, we have been able to utilize tumor cells from pleural effusion fluid of lung cancer patients to create organoids that display in-vivo- like anatomy and drug response and thus could serve as more accurate disease models for study of tumor progression and drug development.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acsbiomaterials.8b01356

Cites

32 of 33 references verified1 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Tumor cells from liquid samples such as peripheral blood, ascites, and pleural effusions can be used as starting material to generate organoids.

    “Tumor cells isolated from liquid samples such as peripheral blood52, ascites50,53, and pleural effusions54 can also be used as starting material to generate organoids.”

    From Organoids (2022) · cites this paper as [53]

  • Invasiveness of tumor cells was enhanced in the presence of spontaneously formed vasculature.

    “the invasiveness of tumor cells was enhanced in the presence of spontaneously formed vasculature.”

    From 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip (2023) · cites this paper as [120]

    The Results describe tumor-cell and fibroblast outgrowth in organoids, and the Discussion describes branching structures supported by stromal cells. Neither passage reports spontaneously formed vasculature or tests whether its presence enhances tumor-cell invasiveness (searched: vasculature, vascular cells, invasion, angiogenesis). (LLM, conf=0.75)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Mazzocchi, A., Devarasetty, M., Herberg, S., Petty, W. J., Marini, F., Miller, L., Kucera, G., Dukes, D. K., Ruiz, J., Skardal, A., & Soker, S.
Affiliations
  • Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences (US)
  • Wake Forest University Health Sciences (US)
  • Atrium Health Wake Forest Baptist (US)
  • Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, North Carolina 27101, United States
Venue
ACS Biomaterials Science & Engineering
Published
2019-03-08
Volume
5
Issue
4
Pages
1937-1943
ISSN
2373-9878 (ISSN-L)
OpenAlex
W2921648992
Cited by
82
References
32
Citations by year
2026: 5 · 2025: 9 · 2024: 11 · 2023: 17 · 2022: 21 · 2021: 10 · 2020: 5 · 2019: 4
FWCI
3.52
Type
journal article
Language
en
Open access
Locations
  • ACS Biomaterials Science & Engineering (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Cancer Institute (5R33CA202822, P30CA012197)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
Keywords
lung cancer, lung cancer organoids, patient-derived tumor cells, chemotherapy response, 2D vs 3D cell culture, tumor progression, drug development

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review