Evidence map›Paper›PMID 29695737›Full record

ArticleScientific reports2018

Multi-lectin Affinity Chromatography and Quantitative Proteomic Analysis Reveal Differential Glycoform Levels between Prostate Cancer and Benign Prostatic Hyperplasia Sera.

Sarah M Totten, Ravali Adusumilli, Majlinda Kullolli, Cheylene Tanimoto, James D Brooks, Parag Mallick, Sharon J Pitteri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. High-Throughput Proteomic and Glycoproteomic Analyses in Benign Prostatic Hyperplasia.Journal of the American Society for Mass Spectrometry · 2026
    Article
  3. Article
  4. Three-dimensional genome architecture in intrahepatic cholangiocarcinoma.Cellular oncology (Dordrecht, Netherlands) · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Lectin Affinity Chromatography.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Multimerin-1 and cancer: a review.Bioscience reports · 2022
    Review
  18. Article
  19. Fucosylation in Urological Cancers.International journal of molecular sciences · 2021
    Review
  20. Article
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

7 authors at 2 institutions in 1 country.

Sarah M TottenCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
Ravali AdusumilliCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
Majlinda KullolliCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
Cheylene TanimotoCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.ORCID 0000-0003-1207-4499
James D BrooksDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Parag MallickCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
Sharon J PitteriCanary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA. spitteri@stanford.edu.ORCID 0000-0002-3119-873X
Stanford University · USStanford Medicine · US

Funding

Stanford Molecular and Cellular Characterization LaboratoryU01CA196387 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D. · 2015 to 2020
$5.2M
NCI NIH HHS U01 CA196387
6 · The paper itself

Abstract

Currently prostate-specific antigen is used for prostate cancer (PCa) screening, however it lacks the necessary specificity for differentiating PCa from other diseases of the prostate such as benign prostatic hyperplasia (BPH), presenting a clinical need to distinguish these cases at the molecular level. Protein glycosylation plays an important role in a number of cellular processes involved in neoplastic progression and is aberrant in PCa. In this study, we systematically interrogate the alterations in the circulating levels of hundreds of serum proteins and their glycoforms in PCa and BPH samples using multi-lectin affinity chromatography and quantitative mass spectrometry-based proteomics. Specific lectins (AAL, PHA-L and PHA-E) were used to target and chromatographically separate core-fucosylated and highly-branched protein glycoforms for analysis, as differential expression of these glycan types have been previously associated with PCa. Global levels of CD5L, CFP, C8A, BST1, and C7 were significantly increased in the PCa samples. Notable glycoform-specific alterations between BPH and PCa were identified among proteins CD163, C4A, and ATRN in the PHA-L/E fraction and among C4BPB and AZGP1 glycoforms in the AAL fraction. Despite these modest differences, substantial similarities in glycoproteomic profiles were observed between PCa and BPH sera.

Indexed as

AdultAgedChromatography, AffinityGlycosylationHumansLectinsMaleMembrane ProteinsMiddle AgedProstateProstate-Specific AntigenProstatic HyperplasiaProstatic NeoplasmsProteomicsSensitivity and SpecificityLectinsMembrane ProteinsProstate-Specific Antigen

Identifiers

PMID29695737
PMCPMC5916935
OpenAlexW2806299764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.