ReviewCells2020
The Role of Tumor-Associated Macrophages in the Progression and Chemoresistance of Ovarian Cancer.
Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 2 of them syntheses that pooled 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.
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
187 citing papers in PubMed, 2 syntheses or guidelines pooled it, 278 citations in OpenAlex.
- Unraveling the role of M2 TAMs in ovarian cancer dynamics: a systematic review.Journal of translational medicine · 2025Pooled it
- Natural Killer Cell-Derived Extracellular Vesicles as a Promising Immunotherapeutic Strategy for Cancer: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- IMMU-NO versus yes: Applicability of immune checkpoint inhibitors in gynecologic cancers.Cancer · 2026Review
- Selected Chemokines as Prognostic Biomarkers and Therapeutic Targets in Ovarian Cancer.Current issues in molecular biology · 2026Review
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Extracellular Vesicles in Diffuse Midline Glioma: Emerging Mediators of Radiation Response and Therapeutic Resistance.Cancers · 2026Review
- Hypoxia-inducible factors: Regulatory functions and status as a therapeutic target in gastric cancer (Review).Oncology letters · 2026Review
- Chemoresistance in Ovarian Cancer and Association with Circadian Rhythm.Reproductive sciences (Thousand Oaks, Calif.) · 2026Review
- [Role of programmed cell death in platinum resistance in ovarian cancer].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Review
- Metabolic reprogramming of tumor-associated macrophage clusters in ovarian cancer: a single-cell transcriptomic analysis and prognostic model.BioData mining · 2026Article
- Targeting circSFPQ_008/SFPQ/BRCA1 axis for overcoming platinum resistance in ovarian cancer.MedScience · 2026Article
- Molecular and cellular landscapes of the immune microenvironment and multiomic biomarker-sets in platinum-resistant recurrent ovarian cancers.Journal of ovarian research · 2026Review
- Dual regulation of PINK1/PARKIN-mediated mitochondrial autophagy in ovarian cancer progression and drug resistance: mechanisms and therapeutic potentials.Journal of ovarian research · 2026Review
- Recent advances in the role of long non-coding RNAs in ovarian cancer chemoresistance.Journal of ovarian research · 2026Review
- The role of tumor-associated macrophages in cancer development and their significance as prognostic markers.Clinical and experimental medicine · 2026Review
- Colorectal cancer-derived osteopontin rewires macrophages into a pro-metastatic M2 state via the PI3K/AKT/CSF1-CSF1R axis.Cell death discovery · 2026Article
- Tumor Microenvironments in Malignant Ovarian Germ Cell Tumors: MHC Class I Loss and T-Cell Exhaustion in Dysgerminoma.Cancer science · 2026Article
- Composition of Immune Cells in Sporadic Vestibular Schwannomas with Different Tumor Volumes.Cancers · 2026Article
- Targeting Monocytes and Their Derivatives in Ovarian Cancer: Opportunities for Innovation in Prognosis and Therapy.Cancers · 2026Review
- The Role of Cancer-Associated Fibroblasts and Tumor-Associated Macrophages in the Tumor Microenvironment and Their Impact on Ovarian Cancer Survival and Therapy.Current oncology (Toronto, Ont.) · 2026Review
127 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor-associated macrophages (TAMs) constitute the main population of immune cells present in the ovarian tumor microenvironment. These cells are characterized by high plasticity and can be easily polarized by colony-stimulating factor-1, which is released by tumor cells, into an immunosuppressive M2-like phenotype. These cells are strongly implicated in both the progression and chemoresistance of ovarian cancer. The main pro-tumoral function of M2-like TAMs is the secretion of a variety of cytokines, chemokines, enzymes and exosomes that reach microRNAs, directly inducing the invasion potential and chemoresistance of ovarian cancer cells by triggering their pro-survival signaling pathways. The M2-like TAMs are also important players in the metastasis of ovarian cancer cells in the peritoneum through their assistance in spheroid formation and attachment of cancer cells to the metastatic area-the omentum. Moreover, TAMs interplay with other immune cells, such as lymphocytes, natural killer cells, and dendritic cells, to inhibit their responsiveness, resulting in the development of immunosuppression. The detrimental character of the M2-like type of TAMs in ovarian tumors has been confirmed by a number of studies, demonstrating the positive correlation between their high level in tumors and low overall survival of patients.
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What OpenQuestion holds
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.