Evidence map›Paper›PMID 32655786›Full record

ArticleAmerican journal of translational research2020

Conjugation of arginylglycylaspartic acid to human serum albumin decreases the tumor-targeting effect of albumin by hindering its secreted protein acidic and rich in cysteine-mediated accumulation in tumors.

Cho Rong Park, Myung Geun Song, Ji-Yong Park, Hyewon Youn, June-Key Chung, Jae Min Jeong, Yun-Sang Lee, Gi Jeong Cheon, Keon Wook Kang

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. HSA-ZW800-PEG for Enhanced Optophysical Stability and Tumor Targeting.International journal of molecular sciences · 2023
    Article
  5. 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

9 authors at 3 institutions in 3 countries.

Cho Rong ParkDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Myung Geun SongDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Ji-Yong ParkDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Hyewon YounDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
June-Key ChungDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Jae Min JeongDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Yun-Sang LeeDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Gi Jeong CheonDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Keon Wook KangDepartment of Nuclear Medicine, Seoul National University College of Medicine Seoul, Korea.
Seoul National University · KRNew Generation University College · ETCancer Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human serum albumin (HSA) accumulates in tumors by the enhanced permeability and retention (EPR) effect, which is a passive targeting effect in tumors. A recent study showed that secreted protein acidic and rich in cysteine (SPARC), an albumin-binding protein, mediates albumin accumulation in tumors. Arg-Gly-Asp (RGD) is a peptide targeting integrin α

Indexed as

EPR effectHuman serum albuminRGDSPARCtumor targeting

Identifiers

PMID32655786
PMCPMC7344055
OpenAlexW3042680086

What OpenQuestion holds

Textmetadata
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.