ReviewCancer cell international2023
Targeting oral tumor microenvironment for effective therapy.
Review in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 36 citations in OpenAlex.
- Cancer-associated fibroblasts as a target in head and neck squamous cell carcinoma: bridging mechanisms to therapy with drugs, adjuvants, and nanotechnology.Discover oncology · 2026Review
- Stromal cells contribute to progression, recurrence, and metastasis in oral squamous cell carcinoma: a call for therapy.Journal of translational medicine · 2026Review
- Characterizing the Head and Neck Cancer Microenvironment: Implications for Immunotherapy and Prognosis.Advances in experimental medicine and biology · 2026Review
- Review
- Phytochemical analysis, antioxidant activity, and cytotoxic effects of Caulerpa lentillifera extracts inducing cell apoptosis and sub-G/G0-G1 cell cycle arrest in KON oral cancer cells.BMC complementary medicine and therapies · 2025Article
- Phytochemicals and their Nanoformulations for Overcoming Drug Resistance in Head and Neck Squamous Cell Carcinoma.Pharmaceutical research · 2025Review
- Therapeutic effects of quercetin in oral cancer therapy: a systematic review of preclinical evidence focused on oxidative damage, apoptosis and anti-metastasis.Cancer cell international · 2025Review
- Nanomaterials for Theranostic Management of Oral Cancer: Advances in Imaging, Biosensing, Targeted Delivery, and Multimodal Synergistic Therapy.International journal of nanomedicine · 2025Review
- Metabolic targeting of regulatory T cells in oral squamous cell carcinoma: new horizons in immunotherapy.Molecular cancer · 2024Review
- Prognostic analysis of hepatocellular carcinoma based on cuproptosis -associated lncRNAs.BMC gastroenterology · 2024Article
- Article
- Applications of Intravital Imaging in Cancer Immunotherapy.Bioengineering (Basel, Switzerland) · 2024Review
- Novel mechanism of drug resistance triggered by tumor-associated macrophages through Heat Shock Factor-1 activation.Cancer immunology, immunotherapy : CII · 2024Article
- Wound healing: insights into autoimmunity, ageing, and cancer ecosystems through inflammation and IL-6 modulation.Frontiers in immunology · 2024Review
- Modulation of myeloid-derived suppressor cell functions by oral inflammatory diseases and important oral pathogens.Frontiers in immunology · 2024Review
- Recent advances in understanding the immune microenvironment in ovarian cancer.Frontiers in immunology · 2024Review
- Seven chromatin regulators as immune cell infiltration characteristics, potential diagnostic biomarkers and drugs prediction in hepatocellular carcinoma.Scientific reports · 2023Article
- A novel coagulation-related lncRNA predicts the prognosis and immune of clear cell renal cell carcinoma.Scientific reports · 2023Article
- The role of ARL4C in predicting prognosis and immunotherapy drug susceptibility in pan-cancer analysis.Frontiers in pharmacology · 2023Article
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 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral cancers are among the common head and neck malignancies. Different anticancer therapy modalities such as chemotherapy, immunotherapy, radiation therapy, and also targeted molecular therapy may be prescribed for targeting oral malignancies. Traditionally, it has been assumed that targeting malignant cells alone by anticancer modalities such as chemotherapy and radiotherapy suppresses tumor growth. In the last decade, a large number of experiments have confirmed the pivotal role of other cells and secreted molecules in the tumor microenvironment (TME) on tumor progression. Extracellular matrix and immunosuppressive cells such as tumor-associated macrophages, myeloid-derived suppressor cells (MDSCs), cancer-associated fibroblasts (CAFs), and regulatory T cells (Tregs) play key roles in the progression of tumors like oral cancers and resistance to therapy. On the other hand, infiltrated CD4 + and CD8 + T lymphocytes, and natural killer (NK) cells are key anti-tumor cells that suppress the proliferation of malignant cells. Modulation of extracellular matrix and immunosuppressive cells, and also stimulation of anticancer immunity have been suggested to treat oral malignancies more effectively. Furthermore, the administration of some adjuvants or combination therapy modalities may suppress oral malignancies more effectively. In this review, we discuss various interactions between oral cancer cells and TME. Furthermore, we also review the basic mechanisms within oral TME that may cause resistance to therapy. Potential targets and approaches for overcoming the resistance of oral cancers to various anticancer modalities will also be reviewed. The findings for targeting cells and potential therapeutic targets in clinical studies will also be reviewed.
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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.