Evidence map›Paper›PMID 42004541›Full record

ArticleBiochemistry and biophysics reports2026

Fluorescently engineered KRAS-mutant organoids as versatile tools for in vitro and in vivo cancer modeling.

Alireza Savadipour, Krishna S Tummala, Eric S Muise, Mark Buchanan, Vania Vidimar, Mike Veling, Jun Liu, Johnny Kopinja, Charlie Schneider, Brian Pak Ho Chan and 9 more

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Alireza SavadipourIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Krishna S TummalaIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Eric S MuiseData, AI and Genome Sciences, Merck & Co. Inc., Boston, MA, USA.
Mark BuchananIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Vania VidimarIn-vitro Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Mike VelingBiology Discovery, Merck & Co. Inc., Cambridge, MA, USA.
Jun LiuIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Johnny KopinjaIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Charlie SchneiderBiology Discovery, Merck & Co. Inc., Cambridge, MA, USA.
Brian Pak Ho ChanBiology Discovery, Merck & Co. Inc., Cambridge, MA, USA.
Richard CarrBiology Discovery, Merck & Co. Inc., Cambridge, MA, USA.
Scott NortonData Science & Scientific Informatics, Research and Development Sciences - Information Technology, Merck & Co. Inc., Cambridge, MA, USA.
John M GasparData Science & Scientific Informatics, Research and Development Sciences - Information Technology, Merck & Co. Inc., Cambridge, MA, USA.
Jennifer PiesvauxBiology Discovery, Merck & Co. Inc., Cambridge, MA, USA.
Erica LecceseDPTM Sourcing Ops - In Vivo & Platforms, Merck & Co. Inc., Boston, MA, USA.
Eunsil ParkIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Lily Y MoyIn-vitro Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Brian J LongIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.
Nicolas SolbanIn-vivo Quantitative Biosciences, Merck & Co. Inc., Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids have emerged as advanced models in cancer research, offering superior physiological relevance compared to traditional 2D cell cultures. They mimic the three-dimensional architecture and tumor clonal heterogeneity, providing more accurate insights into tumor biology and drug responses. Despite these advantages, organoid-based studies pose significant technical challenges. In in-vitro studies, imaging and drug screening-particularly in co-culture systems-can be difficult. In in-vivo models, assessing tumor characteristics and organoid populations becomes challenging when using heterogeneous organoid mixtures with different mutation profiles. This challenge is further compounded when organoids are not engineered to express imageable markers. To address these limitations, we developed organoids that express green fluorescent protein (GFP) or red fluorescent protein (RFP). We found that factors such as cell seeding density, medium composition, and dissociation methods significantly affect organoid growth and IC50 values in response to chemotherapy drugs in in-vitro systems. Furthermore, we demonstrated that engineering organoids to express GFP or RFP did not significantly alter their growth, drug response, or gene expression profiles. Lastly, in in-vivo studies, we observed no significant changes in tumor growth, and morphology between engineered organoids and their parental lines. In conclusion, our findings suggest that GFP- and RFP-expressing organoids retain the key characteristics of their parental lines and can serve as robust tools for both in-vitro and in-vivo drug screening studies.

Identifiers

PMID42004541
PMCPMC13091298

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Registered trials

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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.