Evidence map›Paper›PMID 30642914›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

No Cell Left Unturned: Intraductal Papillary Mucinous Neoplasm Heterogeneity.

Yasmin G Hernandez-Barco, Nabeel Bardeesy, David T Ting

Open access · bronzeAbstract readComment
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. 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
0.6field-weighted citation impact, top 30% of its field
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, 11 citations in OpenAlex.

  1. Clinical and Molecular Attributes and Evaluation of Pancreatic Cystic Neoplasm.Biochimica et biophysica acta. Reviews on cancer · 2023
    Review
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yasmin G Hernandez-BarcoMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts.
Nabeel BardeesyMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts.
David T TingMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts. dting1@mgh.harvard.edu.ORCID 0000-0002-3261-2322
Massachusetts General Hospital · US

Funding

The RAS and P13K Pathways in Pancreatic AdenocarcinomaP01CA117969 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2006 to 2025
$41.7M
RESEARCH TRAINING IN DIGESTIVE DISEASES AND NUTRITIONT32DK007191 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1986 to 2026
$14.6M
Mechanistic Understanding for the Role of Lin28b in Pancreatic Cancer ProgressionR01CA235412 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI EL-BARDEESY, NABEEL, MOSTOSLAVSKY, RAUL · 2019 to 2023
$3.2M
Functions of the LKB1 tumor suppressor in control in metabolism and epigenticsR01CA215498 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI EL-BARDEESY, NABEEL · 2018 to 2022
$2.7M
NCI NIH HHS P01 CA117969NCI NIH HHS R01 CA215498NCI NIH HHS R01 CA235412NIDDK NIH HHS T32 DK007191
6 · The paper itself

Abstract

Intraductal papillary mucinous neoplasm (IPMN) is a pancreatic cancer precursor lesion with established genetic features, but the cellular ecosystem of these tumors remains to be fully characterized. This study utilizes single-cell RNA sequencing to describe the dynamic landscape of epithelial, immune, and stromal cells during IPMN progression to invasive cancer.

Indexed as

Adenocarcinoma, MucinousCarcinoma, Pancreatic DuctalGastrointestinal NeoplasmsPancreatic NeoplasmsDisease ProgressionHumans

Identifiers

PMID30642914
PMCPMC6445728
OpenAlexW2911004913

What OpenQuestion holds

Textmetadata
LicenceTDM
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.