Evidence map›Paper›PMID 31754050›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Purity Independent Subtyping of Tumors (PurIST), A Clinically Robust, Single-sample Classifier for Tumor Subtyping in Pancreatic Cancer.

Naim U Rashid, Xianlu L Peng, Chong Jin, Richard A Moffitt, Keith E Volmar, Brian A Belt, Roheena Z Panni, Timothy M Nywening, Silvia G Herrera, Kristin J Moore and 9 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing 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

142 citing papers in PubMed.

  1. Trial
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  5. Impact of Tumor Genomic Profile on Adjuvant Chemotherapy Efficacy in Resected Pancreatic Adenocarcinoma: Results From the PRODIGE-24/CCTG PA6 Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Clinical and Molecular Correlates of Circulating Tumor Fraction in Patients with Metastatic Pancreatic Ductal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

82 more citing papers are in PubMed but not listed here.

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

19 authors.

Naim U Rashid *Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. jjyeh@med.unc.edu naim@unc.edu.
Xianlu L Peng *Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Chong JinLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Richard A MoffittDepartment of Biomedical Informatics and Pathology, Stony Brook University, Stony Brook, New York.
Keith E VolmarUniversity of North Carolina-Rex Healthcare, Raleigh, North Carolina.
Brian A BeltDepartment of Surgery, University of Rochester, Rochester, New York.
Roheena Z PanniDepartment of Surgery, Washington University, Saint Louis, St. Louis, Missouri.
Timothy M NyweningDepartment of Surgery, Washington University, Saint Louis, St. Louis, Missouri.
Silvia G HerreraLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Kristin J MooreLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Sarah G HennesseyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Ashley B MorrisonLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Ryan KawalerskiDepartment of Biomedical Informatics and Pathology, Stony Brook University, Stony Brook, New York.
Apoorve NayyarLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Audrey E ChangLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Benjamin SchmidtDepartment of Surgery, Washington University, Saint Louis, St. Louis, Missouri.
Hong Jin KimDepartment of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
David C LinehanDepartment of Surgery, University of Rochester, Rochester, New York.
Jen Jen YehLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. jjyeh@med.unc.edu naim@unc.edu.

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TSIATIS, ANASTASIOS A · 2010 to 2019
$21.3M
SURGICAL ONCOLOGY TRAINING GRANTT32CA009621 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN, William E. Gillanders · 1988 to 2026
$12.9M
Tumor Subtypes and Therapy Response in Pancreatic CancerR01CA199064 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TSAI, SUSAN, YEH, JEN JEN · 2016 to 2021
$4.4M
Modulating innate immune cells in the tumor microenvironment of pancreas cancer to enhance anti-tumor immunityR01CA168863 · NCI · WASHINGTON UNIVERSITY · PI LINEHAN, DAVID C · 2013 to 2023
$3.6M
Pathway and Network Integration of Cancer Genomics and Clinical DataU24CA211000 · NCI · PRINCETON UNIVERSITY · PI RAPHAEL, BENJAMIN, YEH, JEN JEN · 2016 to 2020
$1.7M
NCI NIH HHS P01 CA142538NCI NIH HHS R01 CA168863NCI NIH HHS R01 CA199064NCI NIH HHS T32 CA009621NCI NIH HHS U24 CA211000
6 · The paper itself

Abstract

purposeMolecular subtyping for pancreatic cancer has made substantial progress in recent years, facilitating the optimization of existing therapeutic approaches to improve clinical outcomes in pancreatic cancer. With advances in treatment combinations and choices, it is becoming increasingly important to determine ways to place patients on the best therapies upfront. Although various molecular subtyping systems for pancreatic cancer have been proposed, consensus regarding proposed subtypes, as well as their relative clinical utility, remains largely unknown and presents a natural barrier to wider clinical adoption. EXPERIMENTAL

designWe assess three major subtype classification schemas in the context of results from two clinical trials and by meta-analysis of publicly available expression data to assess statistical criteria of subtype robustness and overall clinical relevance. We then developed a single-sample classifier (SSC) using penalized logistic regression based on the most robust and replicable schema.

resultsWe demonstrate that a tumor-intrinsic two-subtype schema is most robust, replicable, and clinically relevant. We developed Purity Independent Subtyping of Tumors (PurIST), a SSC with robust and highly replicable performance on a wide range of platforms and sample types. We show that PurIST subtypes have meaningful associations with patient prognosis and have significant implications for treatment response to FOLIFIRNOX.

conclusionsThe flexibility and utility of PurIST on low-input samples such as tumor biopsies allows it to be used at the time of diagnosis to facilitate the choice of effective therapies for patients with pancreatic ductal adenocarcinoma and should be considered in the context of future clinical trials.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorClinical Trials as TopicComputational BiologyDatabases, GeneticGene Expression ProfilingHumansMolecular TypingPancreatic NeoplasmsSurvival RateTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID31754050
PMCPMC6942634

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Registered trials

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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.