Evidence map›Paper›PMID 31784493›Full record

ArticleThe oncologist2020

Blood-Based Next-Generation Sequencing Analysis of Appendiceal Cancers.

Walid L Shaib, Katerina Zakka, Charles Staley, Ali Roberts, Mehmet Akce, Christina Wu, Olatunji B Alese, Bassel F El-Rayes

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. 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
0.7field-weighted citation impact, top 36% 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, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. The Landscape of ctDNA in Appendiceal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. In Reply.The oncologist · 2020
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  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Walid L ShaibDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Katerina ZakkaDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1498-6424
Charles StaleyDivision of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Ali RobertsGuardant Health, Redwood City, California, USA.
Mehmet AkceDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Christina WuDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Olatunji B AleseDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Bassel F El-RayesDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Emory University · USGuardant (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppendiceal cancers (ACs) are rare. The genomic landscape of ACs has not been well studied. The aim of this study was to confirm the feasibility of next-generation sequencing (NGS) using circulating tumor DNA (ctDNA) in ACs and characterize common genomic alterations. MATERIALS AND

methodsMolecular alterations in 372 plasma samples from 303 patients with AC using clinical-grade NGS of ctDNA (Guardant360) across multiple institutions were evaluated. Test detects single nucleotide variants in 54-73 genes, copy number amplifications, fusions, and indels in selected genes.

resultsA total of 303 patients with AC were evaluated, of which 169 (56%) were female. Median age was 56.8 (25-83) years. ctDNA NGS testing was performed on 372 plasma samples; 48 patients had testing performed twice, 9 patients had testing performed three times, and 1 patient had testing performed four times. Genomic alterations were defined in 207 (n = 207/372, 55.6%) samples, and 288 alterations were identified excluding variants of uncertain significance and synonymous mutations. Alterations were identified in at least one sample from 184 patients; TP53-associated genes (n = 71, 38.6%), KRAS (n = 33, 17.9%), APC (n = 14, 7.6%), EGFR (n = 12, 6.5%), BRAF (n = 11, 5.9%), NF1 (n = 10, 5.4%), MYC (n = 9, 4.9%), GNAS (n = 8, 4.3%), MET (n = 6, 3.3%), PIK3CA (n = 5, 2.7%), and ATM (n = 5, 2.7%). Other low-frequency but clinically relevant genomic alterations were as follows: AR (n = 4, 2.2%), TERT (n = 4, 2.2%), ERBB2 (n = 4, 2.2%), SMAD4 (n = 3, 1.6%), CDK4 (n = 2, 1.1%), NRAS (n = 2, 1.1%), FGFR1 (n = 2, 1.1%), FGFR2 (n = 2, 1.1%), PTEN (n = 2, 1.1%), RB1 (n = 2, 1.1%), and CDK6, CDKN2A, BRCA1, BRCA2, JAK2, IDH2, MAPK, NTRK1, CDH1, ARID1A, and PDGFRA (n = 1, 0.5%).

conclusionEvaluation of ctDNA is feasible among patients with AC. The frequency of genomic alterations is similar to that previously reported in tissue NGS. Liquid biopsies are not invasive and can provide personalized options for targeted therapies in patients with AC. IMPLICATIONS FOR PRACTICE: The complexity of appendiceal cancer and its unique genomic characteristics suggest that customized combination therapy may be required for many patients. Theoretically, as more oncogenic pathways are discovered and more targeted therapies are approved, customized treatment based on the patient's unique molecular profile will lead to personalized care and improve patient outcomes. Liquid biopsies are noninvasive, cost-effective, and promising methods that provide patients with access to personalized treatment.

Indexed as

Appendiceal NeoplasmsCirculating Tumor DNABiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationBiomarkers, TumorCirculating Tumor DNAAppendiceal CancerctDNANext-generation sequencing

Identifiers

PMID31784493
PMCPMC7216457
OpenAlexW2991070998

What OpenQuestion holds

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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.