Evidence map›Paper›PMID 40092486›Full record

ArticleGenes & diseases2025

The scRNA-sequencing landscape of pancreatic ductal adenocarcinoma revealed distinct cell populations associated with tumor initiation and progression.

Ying Wang, Zhouliang Bian, Lichao Xu, Guangye Du, Zihao Qi, Yanjie Zhang, Jiang Long, Wentao Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. CD14Genes & diseases · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

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

8 authors.

Ying WangDepartment of Interventional Radiology, Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Zhouliang BianDepartment of Oncology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201900, China.
Lichao XuDepartment of Interventional Radiology, Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Guangye DuDepartment of Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201900, China.
Zihao QiDepartment of Pancreatic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Yanjie ZhangDepartment of Oncology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201900, China.
Jiang LongDepartment of Pancreatic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Wentao LiDepartment of Interventional Radiology, Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) stands as a formidable malignancy characterized by its profound lethality. The comprehensive analysis of the transcriptional landscape holds immense significance in understanding PDAC development and exploring novel treatment strategies. However, due to the firm consistency of pancreatic cancer samples, the dissociation of single cells and subsequent sequencing can be challenging. Here, we performed single-cell RNA sequencing (scRNA-seq) on 8 PDAC patients with different lymph node metastasis status. We first identified the crucial role of

Indexed as

Acinar-to-ductal metaplasiaLymph node metastasisPancreatic ductal adenocarcinomaSingle-cell RNA sequencingTumor microenvironment

Identifiers

PMID40092486
PMCPMC11907457

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.