Evidence map›Paper›PMID 28560680›Full record

ReviewAdvances in experimental medicine and biology2017

Glycan Markers as Potential Immunological Targets in Circulating Tumor Cells.

Denong Wang, Lisa Wu, Xiaohe Liu

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

3 authors.

Denong WangTumor Glycomics Laboratory, Biosciences Division, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025-3493, USA. denong.wang@sri.com.
Lisa WuTumor Glycomics Laboratory, Biosciences Division, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025-3493, USA.
Xiaohe LiuBiosciences Division, SRI International, 333 Ravenswood Avenue, Menlo Park, CA, 94025-3493, USA.

Funding

Immunogenic sugar moieties of prostate cancersU01CA128416 · NCI · STANFORD UNIVERSITY · PI WANG, DENONG · 2007 to 2011
$2.3M
B-1 B cell responses to oligomannosyl antigens of HIV-1R56AI118464 · NIAID · SRI INTERNATIONAL · PI WANG, DENONG · 2015 to 2015
$884k
IMMUNOGENIC SUGAR MOIETIES OF HCMVR21AI124068 · NIAID · SRI INTERNATIONAL · PI WANG, DENONG · 2017 to 2018
$521k
NCI NIH HHS U01 CA128416NIAID NIH HHS R21 AI124068NIAID NIH HHS R56 AI118464
6 · The paper itself

Abstract

We present here an experimental approach for exploring a new class of tumor biomarkers that are overexpressed by circulating tumor cells (CTCs) and are likely targetable in immunotherapy against tumor metastasis. Using carbohydrate microarrays, anti-tumor monoclonal antibodies (mAbs) were scanned against a large panel of carbohydrate antigens to identify potential tumor glycan markers. Subsequently, flow cytometry and fiber-optic array scanning technology (FAST) were applied to determine whether the identified targets are tumor-specific cell-surface markers and are, therefore, likely suitable for targeted immunotherapy. Finally, the tumor glycan-specific antibodies identified were validated using cancer patients' blood samples for their performance in CTC-detection and immunotyping analysis. In this article, identifying breast CTC-specific glycan markers and targeting mAbs serve as examples to illustrate this tumor biomarker discovery strategy.

Indexed as

Antibodies, NeoplasmBiomarkers, TumorHumansImmunotherapyNeoplasmsNeoplastic Cells, CirculatingPolysaccharidesProtein Array AnalysisAntibodies, NeoplasmBiomarkers, TumorPolysaccharidesBreast cancerBreast circulating tumor cellsCarbohydrate microarrayGlycan markers

Identifiers

PMID28560680
PMCPMC6209658

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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.