Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.
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
16 authors.
Fokhrul HossainDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Martha I Gonzalez-RamirezCenter for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0001-9199-1855
Jone GaraiStanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Diana Polania-VillanuevaStanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0002-7846-2948
Li LiStanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Farzeen NafeesDepartment of Computer Science, University of New Orleans, New Orleans, LA 70148, USA.
Md ManirujjamanDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0003-0912-7369
Bolin LiuDepartment of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0003-0150-8650
Samarpan MajumderDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Xiao-Cheng WuLouisiana Tumor Registry and School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0003-3663-5027
Chindo HicksDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Luis Del ValleDepartment of Pathology, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0003-3894-9206
Denise DanosDepartment of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.
Augusto OchoaDepartment of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0001-6457-8029
Lucio MieleDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0002-5853-7287
Jovanny ZabaletaDepartment of Interdisciplinary Oncology, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA.ORCID 0000-0002-5961-6761
Funding
Translational Genomics Core (TGC)P20GM121288 · NIGMS · LSU HEALTH SCIENCES CENTER · PI Hui-Yi Lin · 2017 to 2026
$22.4M
Understanding and Addressing Cancer Health Disparities in LouisianaP20CA233374 · NCI · LSU HEALTH SCIENCES CENTER · PI MIELE, LUCIO · 2018 to 2020
Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous subtype of breast cancer. miRNAs play an essential role in TNBC pathogenesis and prognosis. Obesity is linked with an increased risk for several cancers, including breast cancer. Obesity is also related to the dysregulation of miRNA expression in adipose tissues. However, there is limited knowledge about race- and obesity-specific differential miRNA expression in TNBC. We performed miRNA sequencing of 48 samples (24 tumor and 24 adjacent non-tumor tissues) and RNA sequencing of 24 tumors samples from Black (AA) and White (EA) TNBC patients with or without obesity. We identified 55 miRNAs exclusively associated with tumors in obese EA patients and 33 miRNAs in obese AA patients, each capable of distinguishing tumor tissues from obese from lean individuals within their respective racial groups. In EA, we detected 41 significant miRNA-mRNA correlations. Notably, miR-181b-5p and miR-877-5p acted as negative regulators of tumor-suppressor genes (e.g.,
Indexed as
MicroRNAsObesityRNA, MessengerTriple Negative Breast NeoplasmsAdultBiomarkers, TumorBlack or African AmericanFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedWhiteBiomarkers, TumorMicroRNAsRNA, MessengerAfrican Americanbreast cancermicroRNA (miRNA)miRNA-seqmRNA-seqTNBC
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 Socratic graph.
Integrated miRNA-mRNA Analyses of Triple-Negative Breast Cancer in Black and White Patients with or Without Obesity. · full record | Socratic