Evidence map›Paper›PMID 42414741›Full record

ArticleHuman cell2026

A Cellosaurus-based systematic survey of sarcoma cell lines identifies critical gaps in public availability and priorities for future cell line development.

Takashi Kondo, Tadashi Kondo

Abstract read
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In one paragraph

Article in Human cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Takashi KondoMito Kyodo General Hospital, University of Tsukuba, 3-2-7, Miyamachi, Mito, Ibaraki, 310-0015, Japan.ORCID http://orcid.org/0009-0002-8829-6290
Tadashi KondoDivision of Rare Cancer Research, National Cancer Center Research Institute, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. proteomebioinformatics@gmail.com.ORCID http://orcid.org/0000-0001-6405-7792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcomas are rare mesenchymal malignancies with marked histological and molecular heterogeneity. Robust preclinical models are essential for therapeutic development, and tumor-derived cell lines remain widely used, because they are experimentally tractable and scalable. In sarcomas, the cell lines are scarce and often discontinued for distribution even after being registered in the public cell banks. Because generating and maintaining cell lines are time-consuming, labor-intensive, and costly, evidence-based prioritization of subtypes for cell line development is needed to promote sarcoma research. Here, we performed a systematic survey of sarcoma cell lines using Cellosaurus (version 54, November 2025), integrating publication status, registration in public cell banks, and current availability for distribution. From 167,127 Cellosaurus entries, we defined 87,573 unique human cell lines after excluding non-human entries and derivative or modified sublines. We identified 1080 human sarcoma cell lines, representing 1.2% of unique human cell lines. Only 230 human sarcoma cell lines were registered in public cell banks, and 139 were currently available for distribution. Most sarcoma subtypes had fewer than 10 available cell lines, and 12 sarcoma subtypes had no established cell lines. This updated landscape quantifies subtype-specific cell line scarcity and gaps in public availability and supports strategic prioritization of future sarcoma cell line development. Our findings also highlight practical measures to support long-term accessibility, including timely publication with standardized authentication reporting and guaranteeing repository redundancy via deposition in multiple public cell banks.

Indexed as

SarcomaCell Line, TumorHumansTissue BanksCell bankCell linePatient-derived cancer modelRare cancerSarcoma

Identifiers

What OpenQuestion holds

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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.