Evidence map›Paper›PMID 26269773›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

Measurement of hypoxia-related parameters in three sublines of a rat prostate carcinoma using dynamic (18)F-FMISO-Pet-Ct and quantitative histology.

Pamela Mena-Romano, Caixia Cheng, Christin Glowa, Peter Peschke, Leyun Pan, Uwe Haberkorn, Antonia Dimitrakopoulou-Strauss, Christian P Karger

Open access · greenAbstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. RepurposingTheranostics · 2021
    Article
  3. Review
  4. Examining correlations of oxygen sensitive MRI (BOLD/TOLD) with [American journal of nuclear medicine and molecular imaging · 2019
    Article
  5. Review
  6. 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

8 authors at 2 institutions in 1 country.

Pamela Mena-RomanoDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center Heidelberg, Germany.
Caixia ChengClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center Heidelberg, Germany.
Christin GlowaDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center Heidelberg, Germany ; Department of Radiation Oncology, University Hospital Heidelberg Heidelberg, Germany.
Peter PeschkeClinical Cooperation Unit Molecular Radiooncology, German Cancer Research Center Heidelberg, Germany.
Leyun PanClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center Heidelberg, Germany.
Uwe HaberkornClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center Heidelberg, Germany ; Department of Nuclear Medicine, University Hospital Heidelberg Heidelberg, Germany.
Antonia Dimitrakopoulou-StraussClinical Cooperation Unit Nuclear Medicine, German Cancer Research Center Heidelberg, Germany.
Christian P KargerDepartment of Medical Physics in Radiation Oncology, German Cancer Research Center Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxia is an important resistance factor in radiotherapy and measuring its spatial distribution in tumors non-invasively is therefore of major importance. This study characterizes the hypoxic conditions of three tumor sublines (AT1, HI and H) of the Dunning R3327 prostate tumor model, which differ in histology, differentiation degree, volume doubling time and androgenic sensitivity, using dynamic Fluoromisonidazole ((18)F-FMISO)-Positron Emission Tomography/Computed Tomography (PET-CT) and histology. Measurements were performed for two tumor volumes (average 0.8±0.5 cm(3) vs 4.4±2.8 cm(3)). Data were analyzed according to tumor subline as well as to the shape of the time activity curves (TACs), based on standardized uptake values (SUVs) and a two-tissue compartment model. Quantitative immunohistochemical studies of the hypoxic fraction, vessel density and vessel size were performed using pimonidazole, Hoechst 33342 and CD31 dyes. No significant FMISO uptake was found in small tumors, which had a mean SUV of 0.64±0.36, 0.55±0.10 and 0.45±0.08, for AT1, HI and H sublines respectively. In large tumors, the SUVs were 1.33±0.52, 1.12±0.83 and 0.63±0.16 for AT1, HI and H sublines and the corresponding hypoxic fractions obtained with pimonidazole staining were 0.62±0.23, 0.54±0.24 and 0.07±0.10, respectively. The AT1- was the most and H-tumor was the least hypoxic for both methods (P<0.05). All measurements were able to discriminate different hypoxic conditions, however despite SUV and kinetic parameters correlated with the three identified TAC shapes, most of the histological results did not. These results demonstrate impact and limitations of static and dynamic PET-CT measurements to assess hypoxia non-invasively.

Indexed as

CD31dynamic FMISO PET-imaginghoechst 33342Hypoxiapimonidazoleprostate adenocarcinoma Dunning R3327

Identifiers

PMID26269773
PMCPMC4529589
OpenAlexW2417841720

What OpenQuestion holds

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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.