Evidence map›Paper›PMID 39483146›Full record

ArticleiScience2024

Deciphering craniopharyngioma subtypes: Single-cell analysis of tumor microenvironment and immune networks.

Tatsuma Matsuda, Takashi Kono, Yuki Taki, Ikki Sakuma, Masanori Fujimoto, Naoko Hashimoto, Eiryo Kawakami, Noriaki Fukuhara, Hiroshi Nishioka, Naoko Inoshita and 6 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Review
  8. Article
  9. 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

16 authors.

Tatsuma MatsudaDepartment of Neurological Surgery Chiba University Graduate School of Medicine, Chiba, Japan.
Takashi KonoDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yuki TakiDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
Ikki SakumaDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masanori FujimotoDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
Naoko HashimotoDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.
Eiryo KawakamiDepartment of Aritificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Noriaki FukuharaDepartment of Hypothalamic and Pituitary Surgery, Toranomon Hospital, Tokyo, Japan.
Hiroshi NishiokaDepartment of Hypothalamic and Pituitary Surgery, Toranomon Hospital, Tokyo, Japan.
Naoko InoshitaHypothalamic and Pituitary Center, Moriyama Memorial Hospital, Tokyo, Japan.
Shozo YamadaHypothalamic and Pituitary Center, Moriyama Memorial Hospital, Tokyo, Japan.
Yasuhiro NakamuraDivision of Pathology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan.
Kentaro HoriguchiDepartment of Neurological Surgery Chiba University Graduate School of Medicine, Chiba, Japan.
Takashi MikiResearch Institute of Disaster Medicine, Chiba University, Chiba, Japan.
Yoshinori HiguchiDepartment of Neurological Surgery Chiba University Graduate School of Medicine, Chiba, Japan.
Tomoaki TanakaDepartment of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Craniopharyngiomas, including adamantinomatous (ACP) and squamous papillary (PCP) types, are challenging to treat because of their proximity to crucial pituitary structures. This study aimed to characterize the cellular composition, tumor tissue diversity, and cell-cell interactions in ACPs and PCPs using single-cell RNA sequencing. Single-cell clustering revealed diverse cell types, further classified into developing epithelial, calcification, and immune response for ACP and developing epithelial, cell cycle, and immune response for PCP, based on gene expression patterns. Subclustering revealed the enrichment of classical M1 and M2 macrophages in ACP and PCP, respectively, with high expression of pro-inflammatory markers in classical M1 macrophages. The classical M1 and M2 macrophage ratio significantly correlated with the occurrence of diabetes insipidus and panhypopituitarism. Cell-cell interactions, particularly involving CD44-SPP, were identified between tumor cells. Thus, we developed a comprehensive cell atlas that elucidated the molecular characteristics and immune cell inter-networking in ACP and PCP tumor microenvironments.

Indexed as

CancerTranscriptomics

Identifiers

PMID39483146
PMCPMC11525618

What Socratic 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 Socratic graph.