ReviewTargeted oncology2020
Immune Checkpoint Blockade in Patients with Triple-Negative Breast Cancer.
Review in Targeted oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Immune checkpoint inhibitors in first-line therapies of metastatic or early triple-negative breast cancer: a systematic review and network meta-analysis.Frontiers in endocrinology · 2023Pooled it
- Fueling the Seed: Growth Factors and Cytokines Driving Cancer Stem Cells in Gynecological Malignancies.International journal of molecular sciences · 2025Review
- Myeloperoxidase expressing tumor associated neutrophils are associated with worse prognosis in metastatic breast cancer patients.Scientific reports · 2025Article
- PKCActa pharmaceutica Sinica. B · 2024Article
- Review
- Current applications of tumor local ablation (TLA) combined with immune checkpoint inhibitors in breast cancer treatment.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance.Nature communications · 2023Article
- Polarization of Cancer-Associated Macrophages Maneuver Neoplastic Attributes of Pancreatic Ductal Adenocarcinoma.Cancers · 2023Review
- CD169Cancers · 2023Article
- Research progress of exosomes in drug resistance of breast cancer.Frontiers in bioengineering and biotechnology · 2023Review
- Review
- ITIH5-Derived Polypeptides Covering the VIT Domain Suppress the Growth of Human Cancer Cells In Vitro.Cancers · 2022Article
- Breast Cancer Tumor Microenvironment and Molecular Aberrations Hijack Tumoricidal Immunity.Cancers · 2022Review
- Systematic evaluation of tumor microenvironment and construction of a machine learning model to predict prognosis and immunotherapy efficacy in triple-negative breast cancer based on data mining and sequencing validation.Frontiers in pharmacology · 2022Article
- Efficacy and Safety of Adding Immune Checkpoint Inhibitors to Neoadjuvant Chemotherapy Against Triple-Negative Breast Cancer: A Meta-Analysis of Randomized Controlled Trials.Frontiers in oncology · 2021Article
- PDL1 expression and its correlation with outcomes in non-metastatic triple-negative breast cancer (TNBC).Ecancermedicalscience · 2021Article
- Bevacizumab Plays a double-edged role in Neoadjuvant Therapy for Non-metastatic Breast Cancer: A Systemic Review and Meta-Analysis.Journal of Cancer · 2021Article
- The nature of triple-negative breast cancer classification and antitumoral strategies.Genomics & informatics · 2020Article
- Exosomes and breast cancer drug resistance.Cell death & disease · 2020Review
- Induction of Redox-Mediated Cell Death in ER-Positive and ER-Negative Breast Cancer Cells by a Copper(II)-Phenolate Complex: An In Vitro and In Silico Study.Molecules (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer constitutes ~ 15% of all breast cancer subtypes. Because of the negative hormone receptor and human epidermal growth factor receptor 2 status, therapy is mainly based on chemotherapy with a poor median overall survival in the metastatic setting of ~ 18 months. Compared to other breast cancer subtypes, triple-negative breast cancer is characterized by a higher mutational load, which renders the tumor immunogenic and amenable to immunotherapeutic intervention. Based on the promising results of immunotherapy in other cancer entities, including melanoma or non-small cell lung cancer, a vast number of studies are currently assessing immunotherapeutic approaches in patients with triple-negative breast cancer. While monotherapies with antibodies against programmed death-1 and programmed death ligand-1 have shown little efficacy in patients with heavily pretreated metastatic triple-negative breast cancer, treatment efficacy likely depends on the therapeutic setting, the treatment line, and the combination of immunotherapies with other anticancer drugs. Several studies are currently evaluating the safety and efficacy of immune checkpoint inhibition in combination with chemotherapy, angiogenesis inhibitors, poly(ADP-ribose) polymerase inhibitors, as well as radiotherapy in the metastatic and (neo-)adjuvant settings. The US Food and Drug Administration approval of nab-paclitaxel in combination with atezolizumab in 2019 presented a landmark therapeutic development for patients with triple-negative breast cancer, given the limited treatment options available for this highly aggressive disease. In this review, we provide an overview on important ongoing and completed immunotherapeutic studies in triple-negative breast cancer and their possible implications for clinical practice.
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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.