ReviewCells2021
Mapping the Metabolic Networks of Tumor Cells and Cancer-Associated Fibroblasts.
Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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.
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.
Who cites it
29 citing papers in PubMed.
- Combine immune checkpoint indoleamine 2,3-dioxygenase 1 knockdown with ferroptosis inducer Erastin/RSL3 accelerates colorectal cancer cell ferroptosis.CytoJournal · 2026Article
- Review
- Fusobacterium nucleatum interacts with cancer-associated fibroblasts to promote colorectal cancer.The EMBO journal · 2025Article
- Identification of metabolic driver genes and targeted drug screening for lung adenocarcinoma metastasis at the single-cell resolution.Translational cancer research · 2025Article
- Dermatopathological Challenges in Objectively Characterizing Immunotherapy Response in Mycosis Fungoides.Dermatopathology (Basel, Switzerland) · 2025Review
- Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer.NPJ systems biology and applications · 2025Article
- Envisioning Glucose Transporters (GLUTs and SGLTs) as Novel Intervention against Cancer: Drug Discovery Perspective and Targeting Approach.Current drug targets · 2025Review
- The role of reactive oxygen species in the transformation from prostatitis to prostate cancer: a review.Frontiers in immunology · 2025Review
- Interactions between the metabolic reprogramming of liver cancer and tumor microenvironment.Frontiers in immunology · 2025Review
- Merging Metabolic Modeling and Imaging for Screening Therapeutic Targets in Colorectal Cancer.bioRxiv : the preprint server for biology · 2024Article
- Single-cell analysis revealing the metabolic landscape of prostate cancer.Asian journal of andrology · 2024Article
- Article
- Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases.Metabolites · 2024Review
- The Warburg Effect Explained: Integration of Enhanced Glycolysis with Heterogeneous Mitochondria to Promote Cancer Cell Proliferation.International journal of molecular sciences · 2023Review
- Dynamic Interplay in Tumor Ecosystems: Communication between Hepatoma Cells and Fibroblasts.International journal of molecular sciences · 2023Article
- Article
- Loss of alcohol dehydrogenase 1B in cancer-associated fibroblasts: contribution to the increase of tumor-promoting IL-6 in colon cancer.British journal of cancer · 2023Article
- scFASTCORMICS: A Contextualization Algorithm to Reconstruct Metabolic Multi-Cell Population Models from Single-Cell RNAseq Data.Metabolites · 2022Article
- Warburg effect in colorectal cancer: the emerging roles in tumor microenvironment and therapeutic implications.Journal of hematology & oncology · 2022Review
- Metabolomic Biomarkers in Blood Samples Identify Cancers in a Mixed Population of Patients with Nonspecific Symptoms.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Metabolism is considered to be the core of all cellular activity. Thus, extensive studies of metabolic processes are ongoing in various fields of biology, including cancer research. Cancer cells are known to adapt their metabolism to sustain high proliferation rates and survive in unfavorable environments with low oxygen and nutrient concentrations. Hence, targeting cancer cell metabolism is a promising therapeutic strategy in cancer research. However, cancers consist not only of genetically altered tumor cells but are interwoven with endothelial cells, immune cells and fibroblasts, which together with the extracellular matrix (ECM) constitute the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs), which are linked to poor prognosis in different cancer types, are one important component of the TME. CAFs play a significant role in reprogramming the metabolic landscape of tumor cells, but how, and in what manner, this interaction takes place remains rather unclear. This review aims to highlight the metabolic landscape of tumor cells and CAFs, including their recently identified subtypes, in different tumor types. In addition, we discuss various in vitro and in vivo metabolic techniques as well as different in silico computational tools that can be used to identify and characterize CAF-tumor cell interactions. Finally, we provide our view on how mapping the complex metabolic networks of stromal-tumor metabolism will help in finding novel metabolic targets for cancer treatment.
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Registered trials
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.