Evidence map›Paper›PMID 38310289›Full record

ArticleJournal of translational medicine2024

Integrating cfDNA liquid biopsy and organoid-based drug screening reveals PI3K signaling as a promising therapeutic target in colorectal cancer.

Huan Yang, Xing Xiao, Leli Zeng, Haiteng Zeng, Yueyuan Zheng, Jingshu Wang, Guanghua Li, Weigang Dai, Yulong He, Suihai Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. 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
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Organoid technology in cancer research.Molecular biomedicine · 2026
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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

12 authors at 3 institutions in 1 country.

Huan Yang *Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Xing Xiao *Guangdong Provincial Key Laboratory of Digestive Cancer Research, Shenzhen, Guangdong, China.
Leli ZengDepartment of Biobank, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China.
Haiteng ZengGuangdong Provincial Key Laboratory of Digestive Cancer Research, Shenzhen, Guangdong, China.
Yueyuan ZhengClinical Big Data Research Center, Scientific Research Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Jingshu WangDepartment of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Guanghua LiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Weigang DaiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yulong HeGuangdong Provincial Key Laboratory of Digestive Cancer Research, Shenzhen, Guangdong, China.
Suihai WangSchool of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, Guangdong, China. suihaiw65@163.com.
Jianjun PengDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China. pjianj@mail.sysu.edu.cn.
Wei ChenGuangdong Provincial Key Laboratory of Digestive Cancer Research, Shenzhen, Guangdong, China. chenw296@mail.sysu.edu.cn.ORCID 0000-0001-6132-7021
Sun Yat-sen University · CNKey Laboratory of Guangdong Province · CNSouthern Medical University · CN

Funding

China Digestive Cancer Clinical Research Public Welfare Project P014-107Guangdong Provincial Key Laboratory for Translational Cancer Research of Chinese Medicine, Guangzhou University of Chinese Medicine 2021B1212040006Natural Science Foundation of Guangdong Province 2018A030313543Shenzhen Fundamental Research Program JCYJ20200109142605909Shenzhen Fundamental Research Program JCYJ20220818102011022
6 · The paper itself

Abstract

backgroundThe current precision medicine relies on biomarkers, which are mainly obtained through next-generation sequencing (NGS). However, this model failed to find effective drugs for most cancer patients. This study tried to combine liquid biopsy with functional drug tests using organoid models to find potential drugs for cancer patients.

methodsColorectal cancer (CRC) patients were prospectively enrolled and blood samples were collected from patients before the start of treatment. Targeted deep sequencing of cfDNA samples was performed using a 14-gene panel. Gastrointestinal (GI) cancer organoids were established and PI3K and mTOR inhibitors were evaluated on organoid models.

resultsA total of 195 mutations were detected across 58 cfDNA samples. The most frequently mutated genes were KRAS, TP53, PIK3CA, and BRAF, all of which exhibited higher mutation rates than tissue biopsy. Although 81% of variants had an allele frequency of less than 1%, certain mutations in KRAS, TP53, and SMAD4 had high allele frequencies exceeding 10%. Notably, among the seven patients with high allele frequency mutations, six had metastatic tumors, indicating that a high allele frequency of ctDNA could potentially serve as a biomarker of later-stage cancer. A high rate of PIK3CA mutation (31 out of 67, or 46.3%) was discovered in CRC patients, suggesting possible tumor progression mechanisms and targeted therapy opportunities. To evaluate the value of anti PI3K strategy in GI cancer, different lines of GI cancer organoids were established. The organoids recapitulated the morphologies of the original tumors. Organoids were generally insensitive to PI3K inhibitors. However, CRC-3 and GC-4 showed response to mTOR inhibitor Everolimus, and GC-3 was sensitive to PI3Kδ inhibitor Idelalisib. The CRC organoid with a PIK3CA mutation showed greater sensitivity to the PI3K inhibitor Alpelisib than wildtype organoids, suggesting potential treatment options for the corresponding patients.

conclusionLiquid biopsy holds significant promise for improving precision treatment and tumor prognosis in colorectal cancer patients. The combination of biomarker-based drug prediction with organoid-based functional drug sensitivity assay may lead to more effective cancer treatment.

Indexed as

Cell-Free Nucleic AcidsColorectal NeoplasmsBiomarkersClass I Phosphatidylinositol 3-KinasesDrug Evaluation, PreclinicalEarly Detection of CancerHumansLiquid BiopsyMutationPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins p21(ras)BiomarkersCell-Free Nucleic AcidsClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins p21(ras)AlpelisibcfDNAColorectal cancerLiquid biopsyOrganoidPIK3CA

Identifiers

PMID38310289
PMCPMC10837874
OpenAlexW4391514761

What OpenQuestion holds

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LicenceCC BY
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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.