GEO series

Differential miRNA expression profiles of primary and relapse lesions of breast cancer patients receiving tamoxifen

GSE83292 Homo sapiens (human) Non-coding RNA profiling 12 samples Submitted 2016/12/29 Platform GPL22007

At a glance

Non-coding RNA profiling · human · 12 samples

What it is: Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism: Homo sapiens (human)
Topic: Breast cancerThis series is part of our curated briefing on it.
Samples: 12 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Long-term tamoxifen treatment significantly improves the survival of hormone receptor-positive (HR+) breast cancer (BC) patients. However, tamoxifen resistance remains a big challenge for endocrine therapy. We aimed to identify prognostic biomarkers for tamoxifen treatment and explore their role in tamoxifen resistance. We used Exiqon miRCURY™ LNA Array (v.18.0) to detect the miRNA expression profiles in the primary tumors and their matched recurrent/metastatic lesions from six HR+ breast cancer patients who relapsed after TAM treatment.

Read the full summary ↓

Fold changes ≥ 2 and P values < 0.05 were defined as differential expression. We found that 28 miRNAs were significantly downregulated in recurrent/metastatic lesions compared to primary tumors, and 54 miRNAs were significantly upregulated.

This dataset

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Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE83292_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA325532. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 27533459) ↗

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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