Evidence map›Paper›PMID 39959117›Full record

ArticleACS omega2025

ENO1/Hsp70 Interaction Domains: In Silico and In Vitro Insight for a Putative Therapeutic Target in Cancer.

Maria Rita Gulotta, Ugo Perricone, Patrizia Rubino, Angela Bonura, Salvatore Feo, Agata Giallongo, Giovanni Perconti

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Maria Rita GulottaMolecular Informatics Group, Fondazione Ri.MED, Corso Calatafimi 414, Palermo 90129, Italy.
Ugo PerriconeMolecular Informatics Group, Fondazione Ri.MED, Corso Calatafimi 414, Palermo 90129, Italy.ORCID https://orcid.org/0000-0002-2181-2468
Patrizia RubinoInstitute of Translational Pharmacology (IFT), National Research Council (CNR), Via Ugo la Malfa 153, Palermo 90146, Italy.
Angela BonuraInstitute of Translational Pharmacology (IFT), National Research Council (CNR), Via Ugo la Malfa 153, Palermo 90146, Italy.
Salvatore FeoDepartment of Biological Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Viale delle Scienze, Palermo 90128, Italy.
Agata GiallongoInstitute of Biomedical Research and Innovation (IRIB), National Research Council (CNR), Via Ugo la Malfa 153, Palermo 90146, Italy.
Giovanni PercontiInstitute of Translational Pharmacology (IFT), National Research Council (CNR), Via Ugo la Malfa 153, Palermo 90146, Italy.ORCID https://orcid.org/0009-0009-9527-2917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-enolase (ENO1) is a multifunctional protein with oncogenic roles. First described as a glycolytic enzyme, the protein performs different functions according to its cellular localization, post-translational modifications, and binding partners. Cell surface-localized ENO1 serves as a plasminogen-binding receptor, and it has been detected in several cell types, including various tumor cells. The plasminogen system plays a crucial role in pathological events, such as tumor cell invasion and metastasis. We have previously demonstrated that the interaction of ENO1 with the multifunctional chaperone Hsp70 increases its surface localization and the migratory and invasive capacity of breast cancer cells, thus representing a novel potential target to counteract the metastatic potential of tumors. Here, we have used computational approaches to map the putative binding region of ENO1 to Hsp70 and predict the key anchoring amino acids, also called hot spots.

Identifiers

PMID39959117
PMCPMC11822713

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.