Evidence map›Paper›PMID 33240786›Full record

ReviewJournal of bone oncology2021

Application of "omics" sciences to the prediction of bone metastases from breast cancer: State of the art.

Marica Gentile, Antonella Centonza, Domenica Lovero, Raffaele Palmirotta, Camillo Porta, Franco Silvestris, Stella D'Oronzo

Open access · goldAbstract readReview
In one paragraph

Review in Journal of bone oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Marica GentileDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
Antonella Centonza"Casa Sollievo della Sofferenza" Onco-hematologic Department, Medical Oncology Unit, Viale Cappuccini 1, 71013 San Giovanni Rotondo, Italy.
Domenica LoveroDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
Raffaele PalmirottaDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
Camillo PortaDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
Franco SilvestrisDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
Stella D'OronzoDepartment of Biomedical Sciences and Human Oncology, University of Bari Aldo Moro, Piazza Giulio Cesare 11, 70124 Bari, Italy.
University of Bari Aldo Moro · ITCasa Sollievo della Sofferenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most frequent malignancy and the first cause of cancer-related death in women. The majority of patients with advanced BC develop skeletal metastases which may ultimately lead to serious complications, termed skeletal-related events, that often dramatically impact on quality of life and survival. Therefore, the identification of biomarkers able to stratify BC patient risk to develop bone metastases (BM) is fundamental to define personalized diagnostic and therapeutic strategies, possibly at the earliest stages of the disease. In this regard, the advent of "omics" sciences boosted the investigation of several putative biomarkers of BC osteotropism, including deregulated genes, proteins and microRNAs. The present review revisits the current knowledge on BM development in BC and the most recent studies exploring potential BM-predicting biomarkers, based on the application of omics sciences to the study of primary breast malignancies.

Indexed as

ADAMTS1, a disintegrin-like and metalloproteinase with thrombospondin type 1ALP, alkaline phosphataseBALP (BSAP), bone-specific alkaline phosphataseBC, breast cancerBiomarkersBM, bone metastasesBOLCs, breast osteoblast-like cellsBone metastasesBreast cancerBTM, bone turnover markersCAPG, capping-proteinCCN3, cellular communication network factor 3CDH11, cadherin-11CNV, copy number variationCTGF, connective tissue-derived growth factorCTSK, cathepsin KCTX, C-telopeptideCXCL, C-X-C-ligandCXCR, C–X–C motif chemokine receptorDEGs, differentially expressed genesDOCK4, dedicator of cytokinesis protein 4DPD, deoxypyridolineDTC, disseminated tumour cellsEMT, epithelial-to-mesenchymal transitionER, estrogen receptorERRα, estrogen-related receptor alphaFAK, focal adhesion kinaseFGF, fibroblast growth factorFST, follistatinGIPC1, PDZ domain-containing protein member 1Her, human epidermal growth factorHR, hazard ratioICAM-1, intercellular adhesion molecule 1IGF, insulin-like growth factorIHC, immunohistochemistryIL, interleukinLC/MS/MS, liquid chromatography/mass spectrometry/mass spectrometryMAF, v-maf avian muscolo aponeurotic fibro-sarcoma oncogene homologMDA-MB, MD Anderson metastatic BCmiRNAs, microRNAsMMP1, matrix metalloproteinase-1ncRNAs, noncoding RNANTX, N-telopeptideOmics sciencesOPG, osteoprotegerinOsteotropismP1CP, pro-collagen type I C-terminalP1NP, pro-collagen type I N-terminalPDGF, platelet-derived growth factorPgR, progesterone receptorPlGF, placental growth factorPRG1, proteoglycan-1PTH-rP, parathyroid hormone-related proteinPYD, pyridolineRANK, receptor activator of nuclear factor к-BRT-PCR, real time-PCRSILAC-MS, stable isotope labelling by amino acids in cell culture-mass spectrometrySNPs, single nucleotide polymorphismsSPP1, osteopontinSREs, skeletal-related eventsTCGA, the cancer genome atlasTGF-β, transforming growth factor betaTNF-α, tumor necrosis factor-αTRACP-5b, tartrate resistant acid phosphatase-5bVEGF, vascular endothelial growth factorZNF217, zinc-finger protein 217

Identifiers

PMID33240786
PMCPMC7672315
OpenAlexW3097456538

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.