Patient-derived tumor grafts authentically reflect tumor pathology, growth, metastasis, and disease outcomes (expression)
Expression microarray · human · 31 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Samples
- 31 samples: 31 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE32531_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA154439. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 31 sample titles: 31 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM805892 HCI-001 original tumor [expression]
- GSM805893 HCI-001 xenograft 2nd passage [expression]
- GSM805894 HCI-001 xenograft 5th passage [expression]
- GSM805895 HCI-002 original tumor [expression]
- GSM805896 HCI-002 xenograft 1st passage [expression]
- GSM805897 HCI-002 xenograft 5th passage [expression]
- GSM805898 HCI-003 original tumor [expression]
- GSM805899 HCI-003 xenograft 1st passage [expression]
- GSM805900 HCI-003 xenograft 4th passage [expression]
- GSM805901 HCI-004 original tumor [expression]
- GSM805902 HCI-004 xenograft 2nd passage [expression]
- GSM805903 HCI-005 original tumor [expression]
- GSM805904 HCI-005 xenograft 1st passage [expression]
- GSM805905 HCI-006 original tumor [expression]
- GSM805906 HCI-007 original tumor [expression]
- GSM805907 HCI-007 xenograft 1st passage [expression]
- GSM805908 HCI-008 original tumor [expression]
- GSM805909 HCI-008 xenograft 1st passage [expression]
- GSM805910 HCI-009 original tumor [expression]
- GSM805911 HCI-009 xenograft 1st passage [expression]
- GSM805912 HCI-009 xenograft 4th passage [expression]
- GSM805913 HCI-010 original tumor [expression]
- GSM805914 HCI-010 xenograft 1st passage [expression]
- GSM805915 HCI-011 original tumor [expression]
- GSM805916 HCI-011 xenograft 1st passage [expression]
- GSM805917 HCI-012 original tumor [expression]
- GSM805918 HCI-012 xenograft 1st passage [expression]
- GSM897827 HCI-001_original_tumor_with_hMSCs_[expression]
- GSM897828 HCI-001_original_tumor_without_hMSCs_[expression]
- GSM897829 HCI-005_original_tumor_with_hMSCs_[expression]
- GSM897830 HCI-005_original_tumor_without_hMSCs_[expression]
- GSE298042 ATAC-Seq of Patient-Derived Xenografts in Metastatic Castration Resistant Prostate Cancer (LuCaP Series) 77 samples shares patient-derived, grafts
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples shares metastasis, growth
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares metastasis
- GSE320389 Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions 215 samples shares pathology
- GSE320381 Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions [HTAN cohort] 145 samples shares pathology
- GSE223503 Non-small Cell Lung Cancer Brain Metastasis Atlas 136 samples shares metastasis
- GSE317901 Unraveling cetuximab response in head and neck cancer with APHRODYTHE, a multi-omics patient-derived xenograft platform 114 samples shares patient-derived
- GSE334033 A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer 105 samples shares patient-derived
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.