Evidence map›Paper›PMID 24303873›Full record

ArticleJournal of proteome research2014

Differentiation of cancer cell origin and molecular subtype by plasma membrane N-glycan profiling.

Serenus Hua, Mary Saunders, Lauren M Dimapasoc, Seung Hyup Jeong, Bum Jin Kim, Suhee Kim, Minkyung So, Kwang-Sik Lee, Jae Han Kim, Kit S Lam and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 47 citations in OpenAlex.

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  8. IntegratedCells · 2021
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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

12 authors at 4 institutions in 3 countries.

Serenus HuaCancer Research Institute, ‡Graduate School of Analytical Science and Technology, and §Department of Food Nutrition, Chungnam National University , Daejeon 305-764, South Korea.
Mary Saunders
Lauren M Dimapasoc
Seung Hyup Jeong
Bum Jin Kim
Suhee Kim
Minkyung So
Kwang-Sik Lee
Jae Han Kim
Kit S Lam
Carlito B Lebrilla
Hyun Joo An
Chungnam National University · KRInstitute of Molecular Medicine · INUniversity of California, Davis · USKorea Basic Science Institute · KR

Funding

The incorporation of human milk oligosaccharides in brain glycoconjugatesR01GM049077 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LEBRILLA, CARLITO B · 1999 to 2024
$6.3M
Glycomics Equipment: NanoLC CHIP-QTOF Mass SpectrometerS10RR027639 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027639NIGMS NIH HHS R01 GM049077
6 · The paper itself

Abstract

In clinical settings, biopsies are routinely used to determine cancer type and grade based on tumor cell morphology, as determined via histochemical or immunohistochemical staining. Unfortunately, in a significant number of cases, traditional biopsy results are either inconclusive or do not provide full subtype differentiation, possibly leading to inefficient or ineffective treatment. Glycomic profiling of the cell membrane offers an alternate route toward cancer diagnosis. In this study, isomer-sensitive nano-LC/MS was used to directly obtain detailed profiles of the different N-glycan structures present on cancer cell membranes. Membrane N-glycans were extracted from cells representing various subtypes of breast, lung, cervical, ovarian, and lymphatic cancer. Chip-based porous graphitized carbon nano-LC/MS was used to separate, identify, and quantify the native N-glycans. Structure-sensitive N-glycan profiling identified hundreds of glycan peaks per cell line, including multiple isomers for most compositions. Hierarchical clusterings based on Pearson correlation coefficients were used to quickly compare and separate each cell line according to originating organ and disease subtype. Based simply on the relative abundances of broad glycan classes (e.g., high mannose, complex/hybrid fucosylated, complex/hybrid sialylated, etc.), most cell lines were readily differentiated. More closely related cell lines were differentiated based on several-fold differences in the abundances of individual glycans. Based on characteristic N-glycan profiles, primary cancer origins and molecular subtypes could be distinguished. These results demonstrate that stark differences in cancer cell membrane glycosylation can be exploited to create an MS-based biopsy, with potential applications toward cancer diagnosis and direction of treatment.

Indexed as

Cell Line, TumorCell MembraneChromatography, LiquidGlycomicsHumansMass SpectrometryNeoplasmsPolysaccharidesPolysaccharides

Identifiers

PMID24303873
PMCPMC3946297
OpenAlexW2046513587

What OpenQuestion 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 OpenQuestion graph.