Evidence map›Paper›PMID 39432379›Full record

ArticleCurrent protocols2024

Generation of Murine Cancer Cell Lines.

Cheryl Zhang, Anthony Lin, Xiang Chen, Yi-Chieh Nancy Du

Abstract read
In one paragraph

Article in Current protocols, 2024. 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

4 authors.

Cheryl ZhangDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.
Anthony LinDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.
Xiang ChenDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.
Yi-Chieh Nancy DuDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-0917-0853

Funding

Receptor for hyaluronan-mediated motility isoform B (RHAMM B) in Pancreatic Cancer MetastasisR01CA266758 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yi-Chieh Nancy Du · 2022 to 2026
$2.0M
NCI NIH HHS R01 CA266758NIH HHS R01CA266758
6 · The paper itself

Abstract

Cancer cell lines are important tools to investigate the biology of cancer and test hypotheses to improve cancer treatments. A major challenge in establishing epithelial cancer cell lines is the removal of cancer-associated fibroblasts (CAFs). CAFs are abundant within the tumor microenvironment. CAFs generally proliferate faster than epithelial cancer cells in culture. CAFs can be mistakenly identified as cancer cells, especially when cancer cells display spindle-shaped morphology. Among all cancer types, pancreatic ductal adenocarcinoma (PDAC) is characterized by an abundant desmoplastic stroma. Here, we describe protocols for establishing epithelial cancer cell lines from mouse models of PDAC and verifying that they are not CAFs. The approach is cost-effective and can be used for other types of cancer. If needed, CAF cell lines can also be established and preserved using this protocol. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Isolation of cells from tumors Basic Protocol 2: Isolation and cryopreservation of cancer cell clones Basic Protocol 3: Assessment of the identity of cancer cell lines and CAFs by western blotting.

Indexed as

Cancer-Associated FibroblastsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsCell Culture TechniquesCell Line, TumorCell SeparationCryopreservationHumansMiceTumor Microenvironmentcell culturecell lineepithelial cancer cellsfibroblastpancreatic ductal adenocarcinoma

Identifiers

PMID39432379
PMCPMC11543269

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.