Evidence map›Paper›PMID 41826520›Full record

ArticleAnnals of surgical oncology2026

Integrated Liquid Biopsy and Tumor Tissue Genomic Profiling of Appendiceal Cancer: cfDNA Burden, Mutation Landscapes, and Clinical Outcomes.

Sefali Patel, Patricia Petrosko, Phillip H Gallo, Madeline Myers, Louis Gil, Edward J Nolan, Seyed H Hosseiny, Rose Blodgett, Ashten Omstead, Hyun Park and 9 more

Erratum issuedAbstract read
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In one paragraph

Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Sefali PatelAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA. sefali.patel@ahn.org.
Patricia PetroskoAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Phillip H GalloAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Madeline MyersAllegheny Health Network Pathology Institute, Pittsburgh, PA, USA.
Louis GilAllegheny Health Network Pathology Institute, Pittsburgh, PA, USA.
Edward J NolanHighmark Health, Pittsburgh, PA, USA.
Seyed H HosseinyHighmark Health, Pittsburgh, PA, USA.
Rose BlodgettAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Ashten OmsteadAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Hyun ParkAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Emily DaltonIllumina, Inc., San Diego, CA, USA.
Christopher SherryAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Ajay GoelDepartment of Molecular Diagnostics and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, USA.
Casey J AllenAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Ali ZaidiAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Russell SchwartzRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
David L BartlettAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
Patrick L WagnerAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.
William A LaFramboiseAllegheny Health Network Cancer Institute, Pittsburgh, PA, USA.

Funding

Reconstructing mechanisms of somatic variation in diverse cellular lineagesR01HG010589 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI SCHWARTZ, RUSSELL S · 2020 to 2023
$1.4M
National Human Genome Research Institute of the National Institutes of Health R01HG010589NHGRI NIH HHS R01 HG010589
6 · The paper itself

Abstract

backgroundAppendiceal cancer (AC) is a rare malignancy that often presents at advanced stages with significant histological variability influencing clinical outcomes. Precise genomic profiling is essential for accurate diagnosis and personalized patient management. This study interrogated DNA from appendiceal tumor tissue, buffy coat cells, and the cell-free DNA component of plasma using a 523-gene panel for comprehensive genomic profiling (CGP) to identify cancer-related genetic mutations in tumor and blood, evaluate tumor mutation burden, and determine genetic markers associated with histologic grade. PATIENTS AND

methodsA total of 73 patients provided blood samples comprising cell-free DNA (cfDNA) and germline buffy coat cells (bcDNA) for analysis compared with tumor tissues available from 56 of these patients. Concordance of mutations between matched tumor tissue and plasma samples (n = 51) was assessed and tumor-specific and germline variants were classified using OncoKB™ clinical criteria to delineate oncogenic and therapeutically actionable variants [level 1 mutations with U.S. Food and Drug Administration (FDA)-approved therapy]. Additionally, cfDNA concentrations were tested for association with clinical and pathologic features and oncologic outcome including disease-specific (DSS) and progression-free (PFS) survival.

resultsCirculating tumor DNA (ctDNA) from plasma cell-free DNA demonstrated high concordance with tumor genomic profiling, reaching 98.4% concordance [median, interquartile range (IQR) 13.5, 21.5] overall and 85.7% (IQR 64.6, 100) for therapeutically actionable level 1 mutations. Prevalent appendiceal tumor-specific mutations included KRAS proto-oncogene, GTPase (KRAS) (41%), GNAS complex locus (GNAS) (30%), tumor protein p53 (TP53) (30%), and SMAD family member 4 (SMAD4) (29%). Tumor-specific TP53, SMAD4, and spectrin alpha, erythrocytic 1 (SPTA1) mutations strongly correlated with intermediate and high-grade histology, whereas GNAS mutations predominated in low-grade tumors. Germline analysis identified coding mutations shared among this patient cohort in notch receptor 4 (NOTCH4) (55%) and BRCA1 associated RING domain 1 (BARD1) (48%) genes, with zinc finger homeobox 3 (ZFHX3) (29%) and adhesion G protein-coupled receptor A2 (ADGRA2), DNA polymerase epsilon (POLE), and transcription factor 3 (TCF3) mutations (all = 23%) specifically enriched in intermediate and high-grade AC. Both histological grade and cfDNA stratified by concentration tertiles independently predicted progression-free and disease-specific survival. Plasma samples exhibited consistently lower variant allele frequencies than solid tumors, limiting sensitivity for discovery of novel mutations exclusively from plasma.

conclusionsThis study supports integrating comprehensive ctDNA assays into standard diagnostic and treatment pathways for AC using large gene panels. TP53, SMAD4, SPTA1, and GNAS mutations serve as prospective tumor-specific molecular classifiers for histological grade, while germline variants in NOTCH4 and BARD1 may further influence disease biology, with ZFHX3, ADGRA2, POLE, and TCF3 affecting grade stratification. Overall cfDNA concentration may serve as a potential prognostic biomarker in AC.

Indexed as

Appendiceal NeoplasmsBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAMutationAdultAgedChromograninsFemaleFollow-Up StudiesGene Expression ProfilingGenomicsGTP-Binding Protein alpha Subunits, GsHumansLiquid BiopsyMaleBiomarkers, TumorCell-Free Nucleic AcidsChromograninsCirculating Tumor DNAGNAS protein, humanGTP-Binding Protein alpha Subunits, GsMAS1 protein, humanProto-Oncogene MasAppendiceal cancerCancerCell-free DNAcfDNACirculating tumor DNAComprehensive genomic profilingCt-TSO500Liquid biopsyMolecular diagnosticsNext-generation sequencingPrognostic biomarkerTumor biomarker

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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.