Observational studyBreast cancer research : BCR2020
Shotgun proteomics coupled to nanoparticle-based biomarker enrichment reveals a novel panel of extracellular matrix proteins as candidate serum protein biomarkers for early-stage breast cancer detection.
Observational study in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 36 citations in OpenAlex.
- Mass spectrometry-based top-down proteomics for proteoform profiling of protein coronas.Nature protocols · 2026Review
- Peripheral blood CD14 + monocytes in luminal breast carcinoma subtypes: in preliminary research and overview of candidate biomarker proteins.Scientific reports · 2026Article
- Protein content of extracellular vesicles from patients with advanced melanoma changes upon progression to anti-PD1 therapy.Scientific reports · 2026Article
- Sample Preparation for Multi-Omics Analysis: Considerations and Guidance for Identifying the Ideal Workflow.Proteomics · 2025Review
- Association of circulating immuno-oncology biomarkers with breast cancer risk: insights from two prospective cohorts.NPJ precision oncology · 2025Article
- The evolution of analytical techniques for multiplex analysis of protein biomarkers.Expert review of proteomics · 2025Review
- Proteomics in Diagnostic Evaluation and Treatment of Breast Cancer: A Scoping Review.Journal of personalized medicine · 2025Review
- Proteomic profiles screening identified novel exosomal protein biomarkers for diagnosis of lung cancer.Clinical proteomics · 2025Article
- Article
- Article
- Role of Filamin A in Growth and Migration of Breast Cancer-Review.Current issues in molecular biology · 2024Review
- The Circulating Biomarkers League: Combining miRNAs with Cell-Free DNAs and Proteins.International journal of molecular sciences · 2024Review
- Review
- Review
- Isolation and identification of extracellular matrix proteins from oil-based CASPERized mouse brains for matrisomal analysis.Heliyon · 2023Article
- Clinical Proteomics: Liquid Chromatography-Mass Spectrometry (LC-MS) Purification Systems.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Green Hydrogel Synthesis: Emphasis on Proteomics and Polymer Particle-Protein Interaction.Polymers · 2022Review
- Discovering biomarkers for hormone-dependent tumors: in silico study on signaling pathways implicated in cell cycle and cytoskeleton regulation.Molecular genetics and genomics : MGG · 2022Article
- Combinatorial Power of cfDNA, CTCs and EVs in Oncology.Diagnostics (Basel, Switzerland) · 2022Review
- Application of nanomaterials in proteomics-driven precision medicine.Theranostics · 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
19 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundThe lack of specificity and high degree of false positive and false negative rates when using mammographic screening for detecting early-stage breast cancer is a critical issue. Blood-based molecular assays that could be used in adjunct with mammography for increased specificity and sensitivity could have profound clinical impact. Our objective was to discover and independently verify a panel of candidate blood-based biomarkers that could identify the earliest stages of breast cancer and complement current mammographic screening approaches.
methodsWe used affinity hydrogel nanoparticles coupled with LC-MS/MS analysis to enrich and analyze low-abundance proteins in serum samples from 20 patients with invasive ductal carcinoma (IDC) breast cancer and 20 female control individuals with positive mammograms and benign pathology at biopsy. We compared these results to those obtained from five cohorts of individuals diagnosed with cancer in organs other than breast (ovarian, lung, prostate, and colon cancer, as well as melanoma) to establish IDC-specific protein signatures. Twenty-four IDC candidate biomarkers were then verified by multiple reaction monitoring (LC-MRM) in an independent validation cohort of 60 serum samples specifically including earliest-stage breast cancer and benign controls (19 early-stage (T1a) IDC and 41 controls).
resultsIn our discovery set, 56 proteins were increased in the serum samples from IDC patients, and 32 of these proteins were specific to IDC. Verification of a subset of these proteins in an independent cohort of early-stage T1a breast cancer yielded a panel of 4 proteins, ITGA2B (integrin subunit alpha IIb), FLNA (Filamin A), RAP1A (Ras-associated protein-1A), and TLN-1 (Talin-1), which classified breast cancer patients with 100% sensitivity and 85% specificity (AUC of 0.93).
conclusionsUsing a nanoparticle-based protein enrichment technology, we identified and verified a highly specific and sensitive protein signature indicative of early-stage breast cancer with no false positives when assessing benign and inflammatory controls. These markers have been previously reported in cell-ECM interaction and tumor microenvironment biology. Further studies with larger cohorts are needed to evaluate whether this biomarker panel improves the positive predictive value of mammography for breast cancer detection.
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.