Evidence map›Paper›PMID 34659888›Full record

ArticleAmerican journal of cancer research2021

A prognostic score based on long-term survivor unique transcriptomic signatures predicts patient survival in pancreatic ductal adenocarcinoma.

Eriko Katsuta, Michelle Huyser, Li Yan, Kazuaki Takabe

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Cancers · 2026
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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 at 1 institution in 1 country.

Eriko KatsutaDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center Buffalo, NY, USA.
Michelle HuyserDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center Buffalo, NY, USA.
Li YanDepartment of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center Buffalo, NY, USA.
Kazuaki TakabeDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center Buffalo, NY, USA.
Roswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Impact of Circulating Myeloid Cell Clusters on Anti-Tumor ImmunityR01CA250412 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI ABRAMS, SCOTT I., EVANS, SHARON S · 2021 to 2025
$3.4M
Leveraging the GTP Biosynthetic Pathway for Anti-Tumor TherapiesR37CA248018 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Anna Bianchi-Smiraglia · 2021 to 2026
$2.3M
Sphingosine-1 Phosphate in Breast Cancer Progression and LymphangiogenesisR01CA160688 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAKABE, KAZUAKI · 2012 to 2016
$1.5M
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA160688NCI NIH HHS R01 CA250412NCI NIH HHS R37 CA248018
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is known for its poor prognosis with few long-term survivors. This study aimed to establish a prognostic score using unique transcriptomic profiles of long-term survivors to be used as a patient selection tool for meaningful clinical intervention in PDAC. In TCGA PDAC cohort, 16 genes were significantly upregulated in the long-term survivor tumors. A prognostic score was established using these 16 genes by LASSO Cox regression, and

Indexed as

HOXlong-term survivorPancreatic ductal adenocarcinomascoresurvival cancertranscriptome

Identifiers

PMID34659888
PMCPMC8493373
OpenAlexW3205431268

What OpenQuestion holds

Textmetadata
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.