Evidence map›Paper›PMID 37842235›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2023

Harnessing the value of TCTP in breast cancer treatment resistance: an opportunity for personalized therapy.

Gianluca Santamaria, Mario Cioce, Antonia Rizzuto, Vito Michele Fazio, Giuseppe Viglietto, Maria Lucibello

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2023. 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
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Gianluca SantamariaDepartment of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Mario CioceDepartment of Medicine, Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome 00128, Italy.
Antonia RizzutoDepartment of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Vito Michele FazioDepartment of Medicine, Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome 00128, Italy.
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Maria LucibelloDepartment of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Magna Graecia University · ITUniversità Campus Bio-Medico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of breast cancer (BC) patients at a high risk of progression may aid in therapeutic and prognostic aims. This is especially true for metastatic disease, which is responsible for most cancer-related deaths. Growing evidence indicates that the translationally controlled tumor protein (TCTP) may be a clinically relevant marker for identifying poorly differentiated aggressive BC tumors. TCTP is an intriguing protein with pleiotropic functions, which is involved in multiple signaling pathways. TCTP may also be involved in stress response, cell growth and proliferation-related processes, underlying its potential role in the initiation of metastatic growth. Thus, TCTP marks specific cancer cell sub-populations with pronounced stress adaptation, stem-like and immune-evasive properties. Therefore, we have shown that

Indexed as

biomarkerBreast cancermetastasisstem cellsTCTPtherapy resistance

Identifiers

PMID37842235
PMCPMC10571059
OpenAlexW4384131688

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.