Evidence map›Paper›PMID 34322393›Full record

ArticleFrontiers in oncology2021

Biologically Active α-Amino Amide Analogs and γδ T Cells-A Unique Anticancer Approach for Leukemia.

Ahmed Al Otaibi, Subuhi Sherwani, Salma Ahmed Al-Zahrani, Eida Mohammed Alshammari, Wahid Ali Khan, Abdulmohsen Khalaf D Alsukaibi, Shahper Nazeer Khan, Mohd Wajid Ali Khan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 2 countries.

Ahmed Al OtaibiDepartment of Chemistry, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
Subuhi SherwaniDepartment of Biology, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
Salma Ahmed Al-ZahraniDepartment of Chemistry, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
Eida Mohammed AlshammariDepartment of Chemistry, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
Wahid Ali KhanDepartment of Clinical Biochemistry, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Abdulmohsen Khalaf D AlsukaibiDepartment of Chemistry, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
Shahper Nazeer KhanInterdisciplinary Nanotechnology Centre, Aligarh Muslim University, Aligarh, India.
Mohd Wajid Ali KhanDepartment of Chemistry, College of Sciences, University of Ha'il, Ha'il, Saudi Arabia.
University of Ha'il · SAAligarh Muslim University · INKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced stage cancers are aggressive and difficult to treat with mono-therapeutics, substantially decreasing patient survival rates. Hence, there is an urgent need to develop unique therapeutic approaches to treat cancer with superior potency and efficacy. This study investigates a new approach to develop a potent combinational therapy to treat advanced stage leukemia. Biologically active α-amino amide analogs (RS)-N-(2-(cyclohexylamino)-2-oxo-1-phenylethyl)-N-phenylpropiolamide (α-AAA-A) and (RS)-N-(2-(cyclohexylamino)-2-oxo-1-phenylethyl)-N-phenylbut2-enamide (α-AAA-B) were synthesized using linear Ugi multicomponent reaction. Cytotoxicities and IC

Indexed as

biologically active moleculescancercombinational therapycytotoxicityleukemiaγδ T cells

Identifiers

PMID34322393
PMCPMC8311656
OpenAlexW3181536344

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.