Evidence map›Paper›PMID 42043783›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Fingerprinting the Metabolic and Lipidomic Landscapes of Pancreatic Ductal Adenocarcinoma with MALDI Imaging.

Saleem Yousf, Kristine Glunde, Dalton R Brown, Caitlin Tressler, Meiyappan Solaiyappan, Balaji Krishnamachary, Yelena Mironchik, Mohamad Dbouk, Michael G Goggins, Zaver M Bhujwalla

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 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

10 authors.

Saleem YousfDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0001-4121-0042
Kristine GlundeDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-5067-2724
Dalton R BrownDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0009-1834-3056
Caitlin TresslerDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-9152-8123
Meiyappan SolaiyappanDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-2911-3936
Balaji KrishnamacharyDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-6137-5832
Yelena MironchikDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-0330-5446
Mohamad DboukDivision of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-6055-0202
Michael G Goggins *Division of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4286-2296
Zaver M Bhujwalla *Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-6617-9360

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI MICHELLE A RUDEK · 1985 to 2026
$208.6M
Using markers to improve pancreatic cancer screening and surveillance: a multi-center studyU01CA210170 · NCI · JOHNS HOPKINS UNIVERSITY · PI Michael G. Goggins · 2016 to 2026
$9.3M
Molecular Imaging and Theranostics of CancerR35CA209960 · NCI · JOHNS HOPKINS UNIVERSITY · PI BHUJWALLA, ZAVER M. · 2017 to 2023
$6.5M
Molecular Imaging of Cachexia in Pancreatic CancerR01CA193365 · NCI · JOHNS HOPKINS UNIVERSITY · PI BHUJWALLA, ZAVER M., HORTON, KAREN M · 2016 to 2020
$1.6M
timsTOF fleX with MALDI-2 for Advanced Mass Spectrometry ImagingS10OD030500 · OD · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE · 2021 to 2021
$1.3M
Molecular Imaging and Metabolotheranostics of PDAC-Induced CachexiaR01CA281075 · NCI · JOHNS HOPKINS UNIVERSITY · PI Zaver M. Bhujwalla · 2025 to 2026
$867k
National Cancer Institute (NCI) P30CA006973National Cancer Institute (NCI) R01CA193365National Cancer Institute (NCI) R01CA281075National Cancer Institute (NCI) R35CA209960National Cancer Institute (NCI) U01CA210170NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA193365NCI NIH HHS R01 CA281075NCI NIH HHS R35 CA209960NCI NIH HHS U01 CA210170NIH HHS S10 OD030500ODCDC CDC HHS S10 OD030500
6 · The paper itself

Abstract

purposeMetabolic reprogramming plays an integral role in progression, immune evasion, and response to treatment in many cancers, including pancreatic ductal adenocarcinoma (PDAC). This study aimed to spatially characterize the metabolic and lipidomic alterations in PDAC and its precursor lesion, intraductal papillary mucinous neoplasm (IPMN), compared with normal/nonneoplastic pancreatic tissue. EXPERIMENTAL

designMatrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was employed to perform spatial metabolic and lipidomic profiling of human PDAC, IPMN, and normal/nonneoplastic pancreatic tissues. MALDI-MSI provided multiplexed metabolic images of tissue samples at 200 μm resolution, allowing spatial characterization of the tumor metabolic landscape.

resultsOur data identified metabolic signatures characteristic of PDAC, with several of these altered in IPMN compared with normal/nonneoplastic tissue. The metabolic fingerprint of PDAC was characterized by increased levels of taurine, ascorbic acid, and a variety of lipid species, including most of the phosphatidylcholines (PC) and sphingomyelins compared with normal/nonneoplastic pancreas tissue, alongside elevated acetylcarnitine, butyrylcarnitine, and PC (PC 34:3) relative to IPMN; significant reductions were observed in creatine, malate, and lysophosphatidylcholine (LPC 16:0). In contrast, IPMN tissues demonstrated a significant reduction of xanthine, arginine, and tryptophan compared with normal/nonneoplastic pancreas tissue. These metabolic signatures were spatially heterogeneous.

conclusionsOur findings provide novel insights into the metabolic and lipidomic underpinnings of PDAC. Metabolic alterations in PDAC were associated with proliferation, immune evasion, and treatment resistance.

Indexed as

Carcinoma, Pancreatic DuctalLipidomicsMetabolomePancreatic NeoplasmsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAgedFemaleHumansMaleMetabolic ReprogrammingMetabolomicsMiddle Aged

Identifiers

PMID42043783
PMCPMC13200568

What Socratic 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 Socratic graph.