fork:pmid:28529692:abnormal-expression-of-atp1a1-and-atp1a2-in-breast-cancer-30ee8f18 Public

https://scm.piranha.sh/git/ada56728063306072cb24f17/sci-fork-pmid-28529692-abnormal-expression-of-atp1a1-and-atp1a2-in-breast-cancer-30ee8f18 · at 84eb13df156b

Download .sci Sign in to fork

Abnormal expression of ATP1A1 and ATP1A2 in breast cancer

fork:pmid:28529692:abnormal-expression-of-atp1a1-and-atp1a2-in-breast-cancer-30ee8f18 · revision 8 · F1000Research

Original: 2017
Created: 2026-11-03
Ingested: 2026-11-07

Paper record The research question, publication details and source material recorded for this paper.

Breast cancer is the first in incidence and the second in death among all solid tumors occurring in women. The identification of molecular genetic abnormalities in breast cancer is important to improve the results of treatment. In the present study, we analyzed microarray data of breast cancer expression profiling (NCBI GEO database, accession GSE65194), focusing on Na +/K +-ATPase coding genes. We found overexpression of the ATP1A1 and down-regulation of the ATP1A2. We expect that our research could help to improve the understanding of predictive and prognostic features of breast cancer. Keywords: breast cancer, Na+/K+-ATPase, gene expression, abnormality, ATP1A1, ATP1A2

Alexey Bogdanov, Fedor Moiseenko, Michael Dubina

DOI: 10.12688/f1000research.10481.1
PMID: 28529692
Journal: F1000Research
Published: 2017
Revision: 8
Format version: 1.5
Content hash: sha256:26c4153596d79a37288fac302e042eedf392341ff41d031a6c3fdb56881fa565
Opened from: fork:pmid:28529692:abnormal-expression-of-atp1a1-and-atp1a2-in-breast-cancer-30ee8f18; Fork of pmid:28529692
Written: 2026-11-03T10:54:57.000000Z
Updated: 2026-11-03T15:45:20.889630Z
Made by: Automated Assays Administrator, Automated Assays
Source run: assays-session-30ee8f18-43ad-40ff-864f-b10e1b899c27

Data sources The sources the file names, with the access and the state the file records for each one.

manuscript · open · resolved

10.12688/f1000research.10481.1

https://doi.org/10.12688/f1000research.10481.1

xml · 8,810 bytes · sha256:b52c152ee6cd127bf20948915bce7ef4e8d743048657f0fe8c3441f877d98c57

Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.

raw · open · resolved

GSE65194

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65194

geo-series ·

Raw data for Table 1 are available at: https://www.ncbi.nlm.nih.gov/geo/download/?acc=GSE65194&format=file 22.

table · open · verified

section[1]/table-wrap[1]#T1

jats-table · 598 bytes · sha256:093de1b1ff705f0e3a405721e80dff9250fdee11708bf051db5b2299349651b4

NKA genes expression in breast cancer samples relative to normal breast tissue.

The samples analysed The group sizes the file holds, and the group sizes the paper itself states. A run is only comparable when it used the same cohort.

In this file

CellLine: 14
Healthy: 11
Her2: 39
Luminal A: 29
Luminal B: 30
TNBC: 55

As the paper states them

Her2: 30
Lum A: 29
Lum B: 30
TNBC: 41
normal breast tissue: 11

141 samples in total.

Reference group: normal breast tissue.

Array data for 41 triple negative samples (TNBC group), 30 Her2-positive (Her2 group), 30 Luminal B (Lum B group), 29 Luminal A (Lum A group) breast cancer samples and 11 normal breast tissue samples were investigated.

Reproducibility map Follow the research stages and see which inputs each stage needs and what state the file records for it.

In GSE65194 Affymetrix microarray data analyzed by one-way between-subjects ANOVA, ATP1A1 was overexpressed approximately 1.5-fold in all breast cancer groups (p<0.05), while ATP1A2 expression decreased by more than 2-fold (p<0.05).

1

Validate the dataset schema and hash it

complete
computational
2

Confirm at least two groups with at least two observations each

complete
computational
3

Compute per-group descriptives

complete
computational
4

Test variance homogeneity and screen each group for normality

complete
computational
5

Run the one-way analysis of variance

complete
computational
6

Compare every pair of groups and correct across the pairs

complete
computational
7

Package the result and its hashes

complete
computational

The methods the paper publishes Each method as the paper states it, with the evidence the file holds for it.

Group comparison analysis

expressible

group_comparison_anova

alpha: {"type":"number","description":"The significance level, declared before the run and recorded with the result.","default":0.05}

Compare a continuous measurement across two or more groups with a one-way analysis of variance, report the assumption checks the test depends on, and compare every pair of groups with Welch's unequal-variance t statistic under Holm's correction.

The assays in this file Each assay the file names, with the operations it needs and the definition it was read from.

group-comparison-analysis

supported

assay:1 · primary · version 0.1.0

needs: group_comparison_rank_sum, group_comparison_wilcoxon, group_comparison_mann_whitney, student_t, welch_t, group_comparison_anova

sha256:f1c5d3dfb8ca3c3061030d0f366addd1f61dd994520aa65a406632940618b75a

Can this run here What the file says about running this experiment, and what still stands in the way.

State: blocked · tier R4
Blocked on: method:microarray_rma_normalise

can run: group_comparison_anova

Still to build

microarray_rma_normalise
group_relative_expression

method

The DSL catalogue has no operation for: microarray_rma_normalise, group_relative_expression.

capability

The corpus capability table owns computational analysis.

data

The GEO series resolves and its sample accessions are listed. No dataset was downloaded and no licence was read.

The result run What has run against this file, and the review the file carries.

Runs

2d090760-f2ae-423e-849f-dc58da829431