ReviewFrontiers in oncology2022
Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 24 citations in OpenAlex.
- Bacteria in neoplastic diseases: A brief note on Wilms tumor.World journal of experimental medicine · 2025Review
- Review
- Nanotechnology in oncology: advances in biosynthesis, drug delivery, and theranostics.Discover oncology · 2025Review
- Editorial: Immunotherapy in urologic malignancies.Frontiers in urology · 2025Article
- Bacterial live therapeutics for human diseases.Molecular systems biology · 2024Review
- Trends in Anti-Tumor Effects ofCancers · 2024Review
- Microbial Therapy and Breast Cancer Management: Exploring Mechanisms, Clinical Efficacy, and Integration within the One Health Approach.International journal of molecular sciences · 2024Review
- PA-MSHA improves prognosis of patients undergoing radical cystectomy: a retrospective cohort study using inverse probability of treatment weighting.Frontiers in immunology · 2024Article
- An Overview of Selected Bacterial Infections in Cancer, Their Virulence Factors, and Some Aspects of Infection Management.Biology · 2023Review
- Bacterial Therapy of Cancer: A Way to the Dustbin of History or to the Medicine of the Future?International journal of molecular sciences · 2023Review
- Identification of a cytotoxic factor from a non-pigmented entomopathogenic Serratia marcescens isolate toxic towards human carcinoma cell lines.Archives of microbiology · 2023Article
- Cross-talk between cancer and Pseudomonas aeruginosa mediates tumor suppression.Communications biology · 2023Article
- Investigational Microbiological Therapy for Glioma.Cancers · 2022Review
- Recent Advances in Bacteria-Based Cancer Treatment.Cancers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug resistance, undesirable toxicity and lack of selectivity are the major challenges of conventional cancer therapies, which cause poor clinical outcomes and high mortality in many cancer patients. Development of alternative cancer therapeutics are highly required for the patients who are resistant to the conventional cancer therapies, including radiotherapy and chemotherapy. The success of a new cancer therapy depends on its high specificity to cancer cells and low toxicity to normal cells. Utilization of bacteria has emerged as a promising strategy for cancer treatment. Attenuated or genetically modified bacteria were used to inhibit tumor growth, modulate host immunity, or deliver anti-tumor agents. The bacteria-derived immunotoxins were capable of destructing tumors with high specificity. These bacteria-based strategies for cancer treatment have shown potent anti-tumor effects both
Indexed as
Identifiers
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.