Evidence map›Paper›PMID 34436666›Full record

ReviewAmino acids2022

Post-translational modifications in tumor-associated carbonic anhydrases.

Anna Di Fiore, Claudiu T Supuran, Andrea Scaloni, Giuseppina De Simone

Abstract readReview
PubMed Publisher
In one paragraph

Review in Amino acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Editorial.Amino acids · 2022
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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

4 authors at 3 institutions in 1 country.

Anna Di FioreIstituto di Biostrutture e Bioimmagini-CNR, Via Mezzocannone 16, 80134, Napoli, Italy.ORCID http://orcid.org/0000-0003-2924-5194
Claudiu T SupuranNEUROFARBA Department, Pharmaceutical and Nutraceutical Section, University of Firenze, Via Ugo Schiff 6, 50019, Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0003-4262-0323
Andrea ScaloniProteomics and Mass Spectrometry Laboratory, ISPAAM, National Research Council, Via Argine 1085, 80147, Napoli, Italy. andrea.scaloni@cnr.it.ORCID http://orcid.org/0000-0001-9362-8515
Giuseppina De SimoneIstituto di Biostrutture e Bioimmagini-CNR, Via Mezzocannone 16, 80134, Napoli, Italy. giuseppina.desimone@cnr.it.ORCID http://orcid.org/0000-0001-9783-5431
Institute of Biostructure and Bioimaging · ITIstituto per il Sistema Produzione Animale in Ambiente Mediterraneo · ITUniversity of Florence · IT

Funding

miur PONMOLIMONCOBRAINLABmiur PRIN201744BN5Tregione campania PO FESR2014-2020eMORFORAD
6 · The paper itself

Abstract

Human carbonic anhydrases IX (hCA IX) and XII (hCA XII) are two proteins associated with tumor formation and development. These enzymes have been largely investigated both from a biochemical and a functional point of view. However, limited data are currently available on the characterization of their post-translational modifications (PTMs) and the functional implication of these structural changes in the tumor environment. In this review, we summarize existing literature data on PTMs of hCA IX and hCA XII, such as disulphide bond formation, phosphorylation, O-/N-linked glycosylation, acetylation and ubiquitination, highlighting, when possible, their specific role in cancer pathological processes.

Indexed as

Carbonic AnhydrasesNeoplasmsCarbonic Anhydrase InhibitorsHumansProtein Processing, Post-TranslationalStructure-Activity RelationshipCarbonic Anhydrase InhibitorsCarbonic AnhydrasesCarbonic anhydrase IXCarbonic anhydrase XIIDrug designPost-translational modifications

Identifiers

PMID34436666
OpenAlexW3194186424

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.