Evidence map›Paper›PMID 38023722›Full record

ArticleBioengineering & translational medicine2023

Use of patient-derived tumor organoid platform to predict the benefit of postoperative adjuvant chemotherapy for poor responders to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Weisong Xue, Ting Wang, Jiaxin Yao, Wei Wu, Dexin Chen, Botao Yan, Xiaoyu Dong, Yuting Tang, Yunli Zeng, Yueyu He and 5 more

Abstract read
In one paragraph

Article in Bioengineering & translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Advancing cancer research through organoid technology.Journal of translational medicine · 2024
    Review
  6. Review
  7. Article
  8. Article
  9. Review
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

15 authors.

Weisong XueDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Ting WangDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Jiaxin YaoDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Wei WuDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Dexin ChenDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Botao YanDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Xiaoyu DongDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Yuting TangDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Yunli ZengDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Yueyu HeDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.
Peihua CaoClinical Research Center, Zhujiang Hospital, Department of Biostatistics School of Public Health, Southern Medical University Guangzhou Guangdong People's Republic of China.
Fangyuan ShaoCancer Center, Faculty of Health Sciences University of Macau Macau People's Republic of China.
Wenhua HuangGuangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Digital Medicine and Biomechanics, National Key Discipline of Human Anatomy School of Basic Medical Sciences, Southern Medical University Guangzhou Guangdong People's Republic of China.
Chuxia DengCancer Center, Faculty of Health Sciences University of Macau Macau People's Republic of China.
Jun YanDepartment of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University Guangzhou Guangdong People's Republic of China.ORCID https://orcid.org/0000-0003-1373-4380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative adjuvant chemotherapy (AC) for poor responders to neoadjuvant chemoradiotherapy (nCRT) remains debatable among patients with locally advanced rectal cancer (LARC), necessitating biomarkers to accurately predict the benefits of AC. This study aimed to develop a patient-derived tumor organoid (PDTO) platform to predict the benefit of AC in LARC patients showing poor nCRT response. PDTOs were established using irradiated rectal cancer specimens with poor nCRT responses, and their sensitivity to chemotherapy regimens was tested. The half-maximal inhibitory concentration (IC50) value for the PDTO drug test was defined based on the clinical outcomes, and the accuracy of the PDTO prognostic predictions was calculated. Predictive models were developed and validated using the PDTO drug test results. Between October 2018 and December 2021, 86 PDTOs were successfully constructed from 138 specimens (success rate 62.3%). The optimal IC50 cut-off value for the organoid drug test was 39.31 μmol/L, with a sensitivity of 84.75%, a specificity of 85.19%, and an accuracy of 84.88%. Multivariate Cox regression analysis revealed that the PDTO drug test was an independent predictor of prognosis. A nomogram based on the PDTO drug test was developed, showing good prognostic ability in predicting the 2-year and 3-year disease-free survivals (AUC of 0.826 [95% CI, 0.721-0.931] and 0.902 [95% CI, 0.823-0.982], respectively) and overall survivals (AUC of 0.859 [95% CI, 0.745-0.973] and 0.885 [95% CI, 0.792-0.978], respectively). The PDTO drug test can predict the benefit of postoperative AC in poor responders with LARC to nCRT.

Indexed as

adjuvant chemotherapyneoadjuvant chemoradiotherapynomogramorganoidrectal cancer

Identifiers

PMID38023722
PMCPMC10658544

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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.