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Single-cell analysis of gastric pre-cancerous and cancer lesions reveals cell lineage diversity and intratumoral heterogeneity

Updated January 26, 2023

Analysis of genomic and transcriptomic profiling has proposed new insights for diagnosis and prognosis in gastric cancer (GC). Human GCs are a unified model composed of diverse cells, including premalignant, immune and cancer. In this study, we present a human cell population of GC and premalignant states at single cell resolution using the 10X Chromium platform. We profiled 112,041 gastric cell landscape across 24 individuals with adjacent normal and GC lesions. Overall design: For a total of 24 patients with 9 intestinal gastric cancers (IGC) and 15 diffuse gastric cancers (DGC), 13,022 cells consisted of 47 biopsies both 24 GC lesions and 23 adjacent normals were selected after a quality control.

Je Kyung SeongSeoul National Universitysnumouse@snu.ac.kr
Ki Taek NamYonsei University College of Medicinekitaek@yuhs.ac
Yong Chan LeeYonsei University College of MedicineleeycC@yuhs.ac
Soo Young ChoHanyang Universitysooycho@ncc.re.kr
Je Kyung Seong (Experimental Scientist)1
Ki Taek Nam (Experimental Scientist)2
Yong Chan Lee (Experimental Scientist)2
Soo Young Cho (Experimental Scientist)3
1Seoul National University
2Yonsei University College of Medicine
3Hanyang University
Brittney D Wick
Parisa Nejad
Rachel Schwartz

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/18e58437-76b7-4021-8ede-3f0b443fa915
None
GEO Series Accessions:INSDC Project Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

humanGastricCancerCells

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

stomach

Organ Part

mucosa of stomach

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

3 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1

File Format

3 file formats

Cell Count Estimate

13.0k

Donor Count

29
fastq.gz104 file(s)tar1 file(s)xlsx1 file(s)