ArticleThe oncologist2024
Development of a Prognostic Model for Early Breast Cancer Integrating Neutrophil to Lymphocyte Ratio and Clinical-Pathological Characteristics.
Article in The oncologist, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06447532 (Use of Machine Learning Techniques for Serial Assessment of Systemic Inflammatory Markers in Breast Cancer Patients), which is not on this map. Cited by 9 papers.
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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.
Use of Machine Learning Techniques for Serial Assessment of Systemic Inflammatory Markers in Breast Cancer Patients
Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Modulating N1 and N2 neutrophils in breast cancer: potential therapeutic approaches - a narrative review.Annals of medicine and surgery (2012) · 2026Review
- Diagnostic value of peripheral blood inflammatory indices for breast cancer grade and immunohistochemical markers: a retrospective observational study.BMC cancer · 2025Observational
- Monocyte-to-lymphocyte ratio as a predictive marker for breast cancer treatment outcomes: a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Inflammatory blood markers in breast cancer: a narrative review from early detection to therapy response.Annals of medicine and surgery (2012) · 2025Review
- Article
- Nomogram based on the novel index LANR, composed of preoperative lymphocytes, albumin, and neutrophils, for predicting prognosis in patients with gastric cancer: a retrospective study.Frontiers in oncology · 2025Article
- Development of a predictive model for recurrence in postoperative glottic laryngeal squamous cell carcinoma patients following adjuvant chemotherapy based on PNI, NLR, and PLR.American journal of cancer research · 2025Article
- The role of pan-immune-inflammation index in the prognosis of Chinese cases with triple-negative breast cancer following surgical resection.Frontiers in surgery · 2025Article
- Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer-related inflammation is critical in tumorigenesis, cancer progression, and patient prognosis. Several inflammatory markers derived from peripheral blood cells count, such as the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII) are considered as prognostic markers in several types of malignancy.
methodsWe investigate and validate a prognostic model in early patients with breast cancer to predict disease-free survival (DFS) based on readily available baseline clinicopathological prognostic factors and preoperative peripheral blood-derived indexes.
resultsWe analyzed a training cohort of 710 patients and 2 external validation cohorts of 980 and 157 patients with breast cancer, respectively, with different demographic origins. An elevated preoperative NLR is a better DFS predictor than others scores. The prognostic model generated in this study was able to classify patients into 3 groups with different risks of relapse based on ECOG-PS, presence of comorbidities, T and N stage, PgR status, and NLR.
conclusionPrognostic models derived from the combination of clinicopathological features and peripheral blood indices, such as NLR, represent attractive markers mainly because they are easily detectable and applicable in daily clinical practice. More comprehensive prospective studies are needed to unveil their actual effectiveness.
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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.