Evidence map›Paper›PMID 33668713›Full record

ArticleCells2021

Organoids Are Limited in Modeling the Colon Adenoma-Carcinoma Sequence.

Yoshihisa Tokumaru, Masanori Oshi, Ankit Patel, Wanqing Tian, Li Yan, Nobuhisa Matsuhashi, Manabu Futamura, Kazuhiro Yoshida, Kazuaki Takabe

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

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  15. Conflicting roles ofAmerican journal of cancer research · 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

9 authors at 2 institutions in 2 countries.

Yoshihisa TokumaruDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0003-2481-7739
Masanori OshiDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-1404-1570
Ankit PatelDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Wanqing TianDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0003-0212-179X
Li YanDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
Nobuhisa MatsuhashiDepartment of Surgical Oncology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
Manabu FutamuraDepartment of Surgical Oncology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
Kazuhiro YoshidaDepartment of Surgical Oncology, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
Kazuaki TakabeDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-6435-4241
Roswell Park Comprehensive Cancer Center · USGifu University · JP

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Impact of Circulating Myeloid Cell Clusters on Anti-Tumor ImmunityR01CA250412 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI ABRAMS, SCOTT I., EVANS, SHARON S · 2021 to 2025
$3.4M
Leveraging the GTP Biosynthetic Pathway for Anti-Tumor TherapiesR37CA248018 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Anna Bianchi-Smiraglia · 2021 to 2026
$2.3M
Sphingosine-1 Phosphate in Breast Cancer Progression and LymphangiogenesisR01CA160688 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAKABE, KAZUAKI · 2012 to 2016
$1.5M
NCI NIH HHS P30CA016056NCI NIH HHS R01 CA160688NCI NIH HHS R01 CA250412NCI NIH HHS R37 CA248018
6 · The paper itself

Abstract

The colon adenoma-carcinoma sequence is a multistep genomic-altering process that occurs during colorectal cancer (CRC) carcinogenesis. Organoids are now commonly used to model both non-cancerous and cancerous tissue. This study aims to investigate how well organoids mimic tissues in the adenoma-carcinoma sequence by comparing their transcriptomes. A total of 234 tissue samples (48 adenomas and 186 CRC) and 60 organoid samples (15 adenomas and 45 CRC) were analyzed. We found that cell-proliferation-related gene sets were consistently enriched in both CRC tissues and organoids compared to adenoma tissues and organoids by gene set enrichment analysis (GSEA). None of the known pathways in the colon adenoma-carcinoma sequence were consistently enriched in CRC organoids. There was no enrichment of the tumor microenvironment-related gene sets in CRC organoids. CRC tissues enriched immune-response-related gene sets, whereas CRC organoids did not. The proportions of infiltrating immune cells were different between tissues and organoids, whereas there was no difference between cancer and adenoma organoids. The amounts of cancer stem cells and progenitor cells were not different between CRC and adenoma organoids, whereas a difference was noted between CRC and adenoma tissues. In conclusion, we demonstrated that organoids model only part of the adenoma-carcinoma sequence and should be used with caution after considering their limitations.

Indexed as

Models, BiologicalAdenomaB-LymphocytesCell ProliferationCohort StudiesColonic NeoplasmsGene Expression Regulation, NeoplasticHumansImmunityLymphocytes, Tumor-InfiltratingMacrophagesMechanistic Target of Rapamycin Complex 1Neoplastic Stem CellsOrganoidsT-LymphocytesTumor MicroenvironmentMechanistic Target of Rapamycin Complex 1adenoma–carcinoma sequenceCIBERSORTcolorectal cancerGSEAorganoidtumor microenvironmentxCell

Identifiers

PMID33668713
PMCPMC7996178
OpenAlexW3130084903

What OpenQuestion holds

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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.