Evidence map›Paper›PMID 35053455›Full record

ArticleCancers2022

ATX-101, a Peptide Targeting PCNA, Has Antitumor Efficacy Alone or in Combination with Radiotherapy in Murine Models of Human Glioblastoma.

Giovanni Luca Gravina, Alessandro Colapietro, Andrea Mancini, Alessandra Rossetti, Stefano Martellucci, Luca Ventura, Martina Di Franco, Francesco Marampon, Vincenzo Mattei, Leda Assunta Biordi and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Cancer-Targeting Applications of Cell-Penetrating Peptides.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Progress of nanoparticle drug delivery system for the treatment of glioma.Frontiers in bioengineering and biotechnology · 2024
    Review
  12. Article
  13. Treatment of De-Differentiated Liposarcoma in the Era of Immunotherapy.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Glioblastoma Treatment: State-of-the-Art and Future Perspectives.International journal of molecular sciences · 2022
    Review
  18. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Giovanni Luca GravinaDepartment of Biotechnological and Applied Clinical Sciences, Division of Radiation Oncology, University of L'Aquila, 67100 L'Aquila, Italy.
Alessandro ColapietroDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Radiobiology, University of L'Aquila, 67100 L'Aquila, Italy.
Andrea ManciniDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Radiobiology, University of L'Aquila, 67100 L'Aquila, Italy.
Alessandra RossettiDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Radiobiology, University of L'Aquila, 67100 L'Aquila, Italy.
Stefano MartellucciDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Cellular Pathology, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-3952-3162
Luca VenturaDivision of Pathology, San Salvatore Hospital, 67100 L'Aquila, Italy.
Martina Di FrancoDivision of Pathology, San Salvatore Hospital, 67100 L'Aquila, Italy.
Francesco MaramponDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, 00100 Rome, Italy.
Vincenzo MatteiBiomedicine and Advanced Technologies Rieti Center, Sabina Universitas, 02100 Rieti, Italy.ORCID 0000-0003-4677-088X
Leda Assunta BiordiDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Medical Oncology, University of L'Aquila, 67100 L'Aquila, Italy.
Marit OtterleiAPIM Therapeutics A/S, N-7100 Rissa, Norway.ORCID 0000-0002-5232-1186
Claudio FestucciaDepartment of Biotechnological and Applied Clinical Sciences, Laboratory of Radiobiology, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-3463-6475
University of L'Aquila · ITSan Salvatore Hospital · ITNorwegian University of Science and Technology · NOSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell proliferation requires the orchestrated actions of a myriad of proteins regulating DNA replication, DNA repair and damage tolerance, and cell cycle. Proliferating cell nuclear antigen (PCNA) is a master regulator which interacts with multiple proteins functioning in these processes, and this makes PCNA an attractive target in anticancer therapies. Here, we show that a cell-penetrating peptide containing the AlkB homolog 2 PCNA-interacting motif (APIM), ATX-101, has antitumor activity in a panel of human glioblastoma multiforme (GBM) cell lines and patient-derived glioma-initiating cells (GICs). Their sensitivity to ATX-101 was not related to cellular levels of PCNA, or p53, PTEN, or MGMT status. However, ATX-101 reduced Akt/mTOR and DNA-PKcs signaling, and a correlation between high Akt activation and sensitivity for ATX-101 was found. ATX-101 increased the levels of γH2AX, DNA fragmentation, and apoptosis when combined with radiotherapy (RT). In line with the in vitro results, ATX-101 strongly reduced tumor growth in two subcutaneous xenografts and two orthotopic GBM models, both as a single agent and in combination with RT. The ability of ATX-101 to sensitize cells to RT is promising for further development of this compound for use in GBM.

Indexed as

APIM-peptideDNA damage signalingGBM

Identifiers

PMID35053455
PMCPMC8773508
OpenAlexW4206097831

What Socratic 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 Socratic graph.