Evidence map›Paper›PMID 25648442›Full record

ArticleClinical & experimental metastasis2015

Anti-metastatic activity of the tumor vascular targeting agent NGR-TNF.

Paola Di Matteo, Patrizia Mangia, Elena Tiziano, Barbara Valentinis, Simona Porcellini, Claudio Doglioni, Francesca Sanvito, Claudio Bordignon, Gian-Paolo Rizzardi, Catia Traversari

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2015. 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
0.3field-weighted citation impact, top 38% 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, 10 citations in OpenAlex.

  1. Review
  2. Review
  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

10 authors at 2 institutions in 1 country.

Paola Di MatteoMolMed SpA, via Olgettina 58, 20132, Milan, Italy.
Patrizia Mangia
Elena Tiziano
Barbara Valentinis
Simona Porcellini
Claudio Doglioni
Francesca Sanvito
Claudio Bordignon
Gian-Paolo Rizzardi
Catia Traversari
MolMed (Italy) · ITSan Raffaele University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor vessels are an attractive target for cancer therapy, including metastasis treatment. Angiogenesis inhibitors targeting the VEGF signalling pathway have proven to be efficacious in preclinical cancer models and in clinical trials. However, angiogenesis inhibition concomitantly elicits tumor adaptation and progression to stages of greater malignancy, with heightened invasiveness and in some cases increased distant metastasis. Here, we investigated whether NGR-TNF, a vascular targeting agent in phase III clinical development, coupling the CNGRCG angiogenic vessel-homing peptide with TNF-α, has an effect on metastasis in a model of murine breast cancer, which spontaneously metastasize to lungs, and on the growth of experimental melanoma lung metastasis. We report that NGR-TNF does not increase cancer invasiveness, as other antiangiogenics agents do, but controls metastatic growth in both models, both when administered as primary treatment and in adjuvant settings, improving the overall survival of metastasis-bearing mice.

Indexed as

Angiogenesis InhibitorsAnimalsFemaleFlow CytometryImmunoenzyme TechniquesLung NeoplasmsMammary Neoplasms, AnimalMelanoma, ExperimentalMiceMice, Inbred BALB CMice, Inbred C57BLNeovascularization, PathologicRecombinant Fusion ProteinsSurvival RateTumor Cells, CulturedTumor Necrosis Factor-alphaAngiogenesis InhibitorsRecombinant Fusion ProteinsTumor Necrosis Factor-alphatumor necrosis factor-alpha, CNGRC fusion protein, human

Identifiers

PMID25648442
OpenAlexW2017180553

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.