Evidence map›Paper›PMID 34530236›Full record

ArticleBioorganic chemistry2021

A novel peptidomimetic therapeutic for selective suppression of lung cancer stem cells over non-stem cancer cells.

Satya Prakash Shukla, Aaron Raymond, Vineeta Rustagi, Samanth R Kedika, Olivia Tran, Liye Wang, Bin Guo, D Gomika Udugamasooriya

Open access · greenAbstract read
In one paragraph

Article in Bioorganic chemistry, 2021. 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
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Protein Marker-Dependent Drug Discovery Targeting Breast Cancer Stem Cells.International journal of molecular sciences · 2025
    Review
  3. Peptidomimetics in cancer targeting.Molecular medicine (Cambridge, Mass.) · 2022
    Review
  4. 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

8 authors at 2 institutions in 1 country.

Satya Prakash ShuklaDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Aaron RaymondDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Vineeta RustagiDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Samanth R KedikaDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Olivia TranDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Liye WangDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
Bin GuoDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA.
D Gomika UdugamasooriyaDepartment of Pharmacological & Pharmaceutical Sciences, University of Houston, 4849 Calhoun Rd, Houston, TX 77204-5037, USA; Department of Cancer Systems Imaging, MD Anderson Cancer Center, 1881 East Road, Houston, TX 77030-4009, USA. Electronic address: gomika@uh.edu.
University of Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
RNA Therapeutics for Targeted Treatment of Colon CancerR01CA186100 · NCI · UNIVERSITY OF HOUSTON · PI GUO, BIN · 2015 to 2018
$1.4M
FOXA1 inhibitors to overcome endocrine resistance in ER+ breast cancerP20CA221731 · NCI · UNIVERSITY OF HOUSTON · PI YUSTEIN, JASON · 2018 to 2021
$1.1M
NCI NIH HHS P20 CA221731NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA186100
6 · The paper itself

Abstract

Cancers are highly heterogeneous and typically contain a small subset of drug-resisting cells called tumor initiating cells or cancer stem cells (CSCs). CSCs can self-renew, divide asymmetrically, and often cause tumor invasion and metastasis. Therefore, treatments specifically targeting CSCs are critical to improve patient survival. Recently, we identified a highly specific peptidomimetic (peptoid - PCS2) that selectively binds to the CSC subpopulation of lung cancer over the remaining cancer cells (non-CSCs). Subsequently, we identified plectin as the target of PCS2. Plectin is an intracellular structural protein, which is involved in tumor invasion and metastasis when it appears on cell surface. While PCS2 monomer did not display any anti-cancer activity, we designed a series of homo-dimeric versions of PCS2, and identified PCS2D1.2 optimized homo-dimer that displayed highly specific cytotoxicity towards CSCs over non-CSCs. PCS2D1.2 effectively blocked the in vitro colony formation and cell migration, hallmarks of CSCs. Furthermore, PCS2D1.2 reduced the in vivo tumor formation. In both in vitro and in vivo studies, PCS2D1.2 effectively reduced plectin expression and/or plectin-rich CSCs, but had no effect on non-CSCs. Therefore, PCS2D1.2 has the potential to be developed as a highly CSC specific drug candidate, which can be used in combination with current anti-cancer drugs.

Indexed as

Antineoplastic AgentsCell Line, TumorCell MovementCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansLung NeoplasmsMolecular StructureNeoplastic Stem CellsPeptidomimeticsStructure-Activity RelationshipAntineoplastic AgentsPeptidomimeticsAvidity effectCancer stem cellsHomo-dimerLung cancerPeptidomimetic

Identifiers

PMID34530236
PMCPMC8588801
OpenAlexW3196468093

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.