Evidence map›Paper›PMID 31905951›Full record

ArticleCancers2019

Human Tumor-Derived Matrix Improves the Predictability of Head and Neck Cancer Drug Testing.

Katja Tuomainen, Ahmed Al-Samadi, Swapnil Potdar, Laura Turunen, Minna Turunen, Piia-Riitta Karhemo, Paula Bergman, Maija Risteli, Pirjo Åström, Riia Tiikkaja and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Observational
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  15. Evaluation of AMG510 Therapy onBioengineering (Basel, Switzerland) · 2022
    Article
  16. Frontiers in oncology · 2022
    Review
  17. Frontiers in medicine · 2022
    Review
  18. Article
  19. Article
  20. Frontiers in oncology · 2021
    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

14 authors at 4 institutions in 2 countries.

Katja TuomainenDepartment of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-3330-1670
Ahmed Al-SamadiDepartment of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-1938-2136
Swapnil PotdarInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290 Helsinki, Finland.ORCID 0000-0002-2778-6918
Laura TurunenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290 Helsinki, Finland.ORCID 0000-0003-0274-4794
Minna TurunenDepartment of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
Piia-Riitta KarhemoResearch Programs Unit, Genome-Scale Biology Program and Medicum, Biochemistry and Developmental Biology, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0002-8761-7673
Paula BergmanBiostatistics Consulting, Department of Public Health, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland.
Maija RisteliCancer and Translational Medicine Research Unit, University of Oulu, 90014 Oulu, Finland.
Pirjo ÅströmCancer and Translational Medicine Research Unit, University of Oulu, 90014 Oulu, Finland.
Riia TiikkajaCancer and Translational Medicine Research Unit, University of Oulu, 90014 Oulu, Finland.
Reidar GrenmanDepartment of Otorhinolaryngology-Head and Neck Surgery, Turku University Hospital, University of Turku, 20520 Turku, Finland.
Krister WennerbergInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00290 Helsinki, Finland.
Outi MonniResearch Programs Unit, Genome-Scale Biology Program and Medicum, Biochemistry and Developmental Biology, University of Helsinki, 00014 Helsinki, Finland.
Tuula SaloDepartment of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
University of Helsinki · FIUniversity of Oulu · FIUniversity of Copenhagen · DKUniversity of Turku · FI

Funding

Business Finland (TEKES) N/ADoctoral Programme in Clinical Research (KLTO) N/AHelsingin ja Uudenmaan Sairaanhoitopiiri N/ASigrid Juséliuksen Säätiö N/ASyöpäjärjestöt N/A
6 · The paper itself

Abstract

In vitro cancer drug testing carries a low predictive value. We developed the human leiomyoma-derived matrix "Myogel" to better mimic the human tumor microenvironment (TME). We hypothesized that Myogel could provide an appropriate microenvironment for cancer cells, thereby allowing more in vivo-relevant drug testing. We screened 19 anticancer compounds, targeting the epidermal growth factor receptor (EGFR), MEK, and PI3K/mTOR on 12 head and neck squamous cell carcinoma (HNSCC) cell lines cultured on plastic, mouse sarcoma-derived Matrigel (MSDM), and Myogel. We applied a high-throughput drug screening assay under five different culturing conditions: cells in two-dimensional (2D) plastic wells and on top or embedded in Matrigel or Myogel. We then compared the efficacy of the anticancer compounds to the response rates of 19 HNSCC monotherapy clinical trials. Cancer cells on top of Myogel responded less to EGFR and MEK inhibitors compared to cells cultured on plastic or Matrigel. However, we found a similar response to the PI3K/mTOR inhibitors under all culturing conditions. Cells grown on Myogel more closely resembled the response rates reported in EGFR-inhibitor monotherapy clinical trials. Our findings suggest that a human tumor matrix improves the predictability of in vitro anticancer drug testing compared to current 2D and MSDM methods.

Indexed as

clinical trialsdrug screeninghead and neck cancerhuman tumor microenvironmentin vitro 3D

Identifiers

PMID31905951
PMCPMC7017272
OpenAlexW2998679197

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.