Evidence map›Paper›PMID 38118423›Full record

ArticleCell reports. Medicine2023

Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer.

Tao Tan, Dmitri Mouradov, Margaret Lee, Grace Gard, Yumiko Hirokawa, Shan Li, Cong Lin, Fuqiang Li, Huijuan Luo, Kui Wu and 12 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Selenium Nanoparticles Selectively Target KRAS G13D to Inhibit Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Patient-Derived Organoids Predict Treatment Response in Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  12. Article
  13. Beyond Rodents: Alternative Animal Models in Colorectal Cancer Research.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

22 authors at 5 institutions in 2 countries.

Tao TanPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia.
Dmitri MouradovPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia.
Margaret LeePersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia; Department of Medical Oncology, Eastern Health, Box Hill, VIC 3128, Australia; Eastern Health Clinical School, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Box Hill, VIC 3128, Australia.
Grace GardPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia.
Yumiko HirokawaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Shan LiPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Cong LinHIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China.
Fuqiang LiHIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China.
Huijuan LuoHIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China.
Kui WuHIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China.
Michelle PalmieriPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia.
Evelyn LeongPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Jordan ClarkePersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Anuratha SakthianandeswarenPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia.
Helen BrasierPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia.
Jeanne TiePersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia.
Niall C TebbuttDepartment of Medical Oncology, Olivia Newton-John Cancer Wellness & Research Centre, Austin Health, Heidelberg, VIC 3084, Australia.
Azim JalaliPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia; Department of Cancer Services, Latrobe Regional Hospital, Traralogon, VIC 3844, Australia; Department of Medical Oncology, The Northern Hospital, Epping, VIC 3076, Australia.
Rachel WongDepartment of Medical Oncology, Eastern Health, Box Hill, VIC 3128, Australia; Eastern Health Clinical School, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Box Hill, VIC 3128, Australia.
Antony W BurgessPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Surgery, The University of Melbourne, Parkville, VIC 3050, Australia.
Peter GibbsPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia.
Oliver M SieberPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Surgery, The University of Melbourne, Parkville, VIC 3050, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia. Electronic address: sieber.o@wehi.edu.au.
The University of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AUBGI Group (China) · CNEastern Health · AUOlivia Newton-John Cancer Wellness & Research Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive drug testing of patient-derived tumor organoids (PDTOs) holds promise for personalizing treatment of metastatic colorectal cancer (mCRC), but prospective data are limited to chemotherapy regimens with conflicting results. We describe a unified framework for PDTO-based predictive testing across standard-of-care chemotherapy and biologic and targeted therapy options. In an Australian community cohort, PDTO predictions based on treatment-naive patients (n = 56) and response rates from first-line mCRC clinical trials achieve 83% accuracy for forecasting responses in patients receiving palliative treatments (18 patients, 29 treatments). Similar assay accuracy is achieved in a prospective study of third-line or later mCRC treatment, AGITG FORECAST-1 (n = 30 patients). "Resistant" predictions are associated with inferior progression-free survival; misclassification rates are similar by regimen. Liver metastases are the optimal site for sampling, with testing achievable within 7 weeks for 68.8% cases. Our findings indicate that PDTO drug panel testing can provide predictive information for multifarious standard-of-care therapies for mCRC.

Indexed as

Antineoplastic AgentsColonic NeoplasmsColorectal NeoplasmsAustraliaHumansProspective StudiesAntineoplastic Agentscolorectal cancerpatient-derived tumor organoidprecision medicinepredictive drug testing

Identifiers

PMID38118423
PMCPMC10783557
OpenAlexW4389947707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.