ReviewClinical and experimental medicine2023
A review of prognostic and predictive biomarkers in breast cancer.
Review in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 5 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
106 citing papers in PubMed, 5 syntheses or guidelines pooled it, 110 citations in OpenAlex.
- Prognostic Relevance of Inflammatory Cytokines Il-6 and TNF-Alpha in Patients with Breast Cancer: A Systematic Review and Meta-Analysis.Current oncology (Toronto, Ont.) · 2025Pooled it
- Prognostic and clinicopathological significance of fibrinogen-to-albumin ratio (FAR) in patients with breast cancer: a meta-analysis.World journal of surgical oncology · 2024Pooled it
- Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Accuracy and Utility of Preoperative Ultrasound-Guided Axillary Lymph Node Biopsy for Invasive Breast Cancer: A Systematic Review and Meta-Analysis.Computational intelligence and neuroscience · 2022Pooled it
- Prognostic value of dysadherin in cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Efficacy of a Mixed Wavelength Laser for Vaginal Health in Postmenopausal Women: A Randomized Controlled Trial.International journal of women's health · 2025Trial
- Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy.European journal of medical research · 2023Trial
- Expression Profiles of hsa-miR-4715-3p and hsa-miR-5000-3p in Breast Cancer: Findings from Functional and Regulatory Network Analyses.Diagnostics (Basel, Switzerland) · 2026Article
- Impact of SLCO1B3 767G>C (rs60140950) polymorphism on paclitaxel response in Iraqi women with breast cancer.Journal of Taibah University Medical Sciences · 2026Article
- From Machine Learning-Enhanced Proteomics to a Validated Diagnostic Model: A Pipeline for Breast Cancer Biomarker Discovery via Independent and Transcriptomic Corroboration.Bioengineering (Basel, Switzerland) · 2026Article
- Construction and validation of a predictive model of pathological complete response combined with MRI and tumor indicators for HER2-positive breast cancer after neoadjuvant targeted therapy.Oncology letters · 2026Article
- New perspectives on endocrine therapy suitability for hormone receptor-positive metastatic breast cancer in clinical practice.Breast (Edinburgh, Scotland) · 2026Review
- UBB as an early-stage potential biomarker for breast cancer via modulation of the ubiquitination pathway.Scientific reports · 2026Article
- Development and validation of a non-invasive nomogram for predicting bone metastasis in newly diagnosed breast cancer.Translational cancer research · 2026Article
- Nomogram based on deep learning of mammography for the prediction of HER2 expression in breast cancer.Gland surgery · 2026Article
- A Butyrate Metabolism-Related Gene Signature Predicts Prognosis, Immune Landscape, and Immunotherapy Efficacy in Breast Cancer.Cancer medicine · 2026Article
- Role of tumor‑infiltrating lymphocytes and miR‑155 in breast cancer: Insights into carcinogenesis and their potential as prognostic biomarkers (Review).Oncology reports · 2026Review
- Artificial Intelligence and Prostate-Breast Cancer Biology: Recent Advances in Treatments and Perspectives - A Comprehensive Review.Health science reports · 2026Article
- Clinical impact of the methylation status of SMAD4 and AKR1B1 genes in a liquid biopsy sample as a prognostic marker for breast cancer.Scientific reports · 2026Article
- An evaluation model of chemotherapy efficacy in breast cancer based on combined serum CA15-3, CEA, and CYFRA 21 - 1.BMC cancer · 2026Article
46 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
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is a common cancer all over the world that affects women. BC is one of the leading causes of cancer mortality in women, which today has decreased with the advancement of technology and new diagnostic and therapeutic methods. BCs are histologically divided into in situ and invasive carcinoma, and both of them can be divided into ductal and lobular. The main function after the diagnosis of invasive breast cancer is which patient should use chemotherapy, which patient should receive adjuvant therapy, and which should not. If the decision is for adjuvant therapy, the next challenge is to identify the most appropriate treatment or combination of treatments for a particular patient. Addressing the first challenge can be helped by prognostic biomarkers, while addressing the second challenge can be done by predictive biomarkers. Among the molecular markers related to BC, ER, PR, HER2, and the Mib1/Ki-67 proliferation index are the most significant ones and are tightly confirmed in the standard care of all primary, recurrent, and metastatic BC patients. CEA and CA-15-3 antigens are the most valuable markers of serum tumors in BC patients. Determining the series of these markers helps monitor response to the treatment and early detection of recurrence or metastasis. miRNAs have been demonstrated to be intricate in mammary gland growth, proliferation, and formation of BC known to be incriminated in BC biology. By combining established prognostic factors with valid prognostic/predicted biomarkers, we can start the journey to personalized treatment for every recently diagnosed BC patient.
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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.