Advancing cancer research through organoid technology
Zeng et al. Journal of Translational Medicine
https://doi.org/10.1186/s12967-024-05824-1
(2024) 22:1007
Journal of Translational
Medicine
Open Access
REVIEW
Advancing cancer research through organoid
technology
Guolong Zeng1†, Yifan Yu1†, Meiting Wang1†, Jiaxing Liu1, Guangpeng He1, Sixuan Yu1, Huining Yan1, Liang Yang1,2*,
Hangyu Li1,2* and Xueqiang Peng1,2*
Abstract
The complexity of tumors and the challenges associated with treatment often stem from the limitations of existing
models in accurately replicating authentic tumors. Recently, organoid technology has emerged as an innovative
platform for tumor research. This bioengineering approach enables researchers to simulate, in vitro, the interactions
between tumors and their microenvironment, thereby enhancing the intricate interplay between tumor cells and
their surroundings. Organoids also integrate multidimensional data, providing a novel paradigm for understanding
tumor development and progression while facilitating precision therapy. Furthermore, advancements in imaging
and genetic editing techniques have significantly augmented the potential of organoids in tumor research.
This review explores the application of organoid technology for more precise tumor simulations and its specific
contributions to cancer research advancements. Additionally, we discuss the challenges and evolving trends in
developing comprehensive tumor models utilizing organoid technology.
Keywords Tumor organoids, In vitro modeling, Tumor microenvironment, Multi-omics analysis, Gene editing,
Precision medicine
Introduction
As one of the major health threats, cancer continue to
have high morbidity and mortality rates. Despite significant advances in the understanding of tumor mechanisms, standard cancer treatments have made only
limited progress [1]. In this context, in vitro and in vivo
†
Guolong Zeng, Yifan Yu and Meiting Wang contributed equally to
this work.
*Correspondence:
Liang Yang
Hangyu Li
Xueqiang Peng
1
Department of General Surgery, The Fourth Affiliated Hospital, China
Medical University, Shenyang 110032, China
2
Shenyang Clinical Medical Research Center for Diagnosis, Treatment and
Health Management of Early Digestive Cancer, Shenyang, China
experimental models, such as cancer cell lines, animal
models, and patient-derived tumor xenografts (PDTX),
have significantly advanced tumor research [2, 3]. However, there are many limitations in these models. Traditional cancer cell lines are cultured in a two-dimensional
environment, which limits their ability to mimic the
natural growth pattern and behavior of tumor cells in 3D
space [4]. Similarly, long-term culture can lead to genetic
drift, resulting in a loss of heterogeneity and failing to
fully represent the complex biology of human tumors [5].
Animal models and PDTX models are significantly different from humans in genetic, physiological, and metabolic
aspects, which are easily restricted by species differences
and ethical issues [6, 7]. Moreover, cancer cell lines have
several disadvantages, such as the absence of the tumor’s
complex surrounding environment, challenges in establishing repositories, and the significant economic and
time costs associated with experimental animal studies
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Zeng et al. Journal of Translational Medicine
(2024) 22:1007
[8, 9]. Given these challenges, developing in vitro models
that can more accurately simulate the characteristics of
human tumors in vivo has become a crucial need in cancer research [10]. In this context, the development of in
vitro models that can more precisely replicate the characteristics of human tumors in vivo has become a crucial
focus in cancer research. Tumor organoids, emerging as
a pivotal research area, are gaining widespread attention
Page 2 of 17
and are being increasingly utilized in various aspects of
tumor research (Fig. 1).
Organoids, cultured in vitro, are 3D microstructures
capable of self-organization and renewal, enabling them
to replicate the essential functions, structure, and biological intricacies of organs. Derived primarily from induced
pluripotent stem cells (iPSCs) or tissue-derived cells
(TDCs), these organoids encompass various cell types,
such as normal stem/progenitor cells, differentiated cells,
Fig. 1 Potential applications of tumor organoids in cancer research: (A) To simulate the tumor microenvironment in vitro, the microenvironment conditions are replicated, and the interaction between tumor cells and various cell types in the surrounding microenvironment is investigated. (B) Relevant
data from multidimensional sources, including the analysis and extraction of information from multi-omics data such as genomics, transcriptomics,
proteomics, and monocytosis is integrated into organoids. (C) Tumor organoids can be utilized for tumor modeling, enabling prospective drug sensitivity
testing and prediction of drug response to achieve precision treatment through the establishment of a biobank. (D) Tumor organoids, when combined
with advanced imaging, enhance the precision and efficiency of cancer research. (E) The application of gene editing tools involves targeted modification of genes in organoids and the introduction of specific gene or pathway changes to study the occurrence and development of tumors and tumor
modeling
Zeng et al. Journal of Translational Medicine
(2024) 22:1007
and cancer cells [11, 12]. By utilizing patient-derived primary human cancer tissue to develop patient-derived
tumor organoid (PDTO) models in vitro under 3D cultivation conditions, these organoids effectively simulate
the growth of the primary tumor microenvironment in
patients. This model can simulate tumor samples with
precise spatial structure and histomorphology, while
also preserving the heterogeneity of the primary tumor
to some degree [13]. These “microtumors” offer several
advantages in tumor research: [1] They replicate the
development and progression of cancer in vitro; [2] They
retain the phenotypic traits of the original tumor; [3]
They offer matched normal tissue controls for comparison; [4] They can reconstruct the tumor microenviron (...truncated)