Evidence map›Paper›PMID 24528602›Full record

ArticleBMC cancer2014

Tumour T1 changes in vivo are highly predictive of response to chemotherapy and reflect the number of viable tumour cells--a preclinical MR study in mice.

Claudia Weidensteiner, Peter R Allegrini, Melanie Sticker-Jantscheff, Vincent Romanet, Stephane Ferretti, Paul M J McSheehy

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Comprehensive Evaluation of BMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2020
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  8. Review
  9. Radial MP2RAGE sequence for rapid 3D TEuropean radiology · 2019
    Article
  10. Magnetic Resonance Fingerprinting: Implications and Opportunities for PET/MR.IEEE transactions on radiation and plasma medical sciences · 2019
    Article
  11. Review
  12. Repeatability of magnetic resonance fingerprinting TMagnetic resonance in medicine · 2017
    Article
  13. Journal of spine surgery (Hong Kong) · 2017
    Article
  14. Article
  15. Functional MRI and CT biomarkers in oncology.European journal of nuclear medicine and molecular imaging · 2015
    Review
  16. 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

6 authors at 2 institutions in 1 country.

Claudia WeidensteinerOncology Research, Novartis Institutes for Biomedical Research, Basel, Switzerland. claudia.weidensteiner@uniklinik-freiburg.de.
Peter R Allegrini
Melanie Sticker-Jantscheff
Vincent Romanet
Stephane Ferretti
Paul M J McSheehy
Novartis Institutes for BioMedical ResearchNovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective chemotherapy rapidly reduces the spin-lattice relaxation of water protons (T1) in solid tumours and this change (ΔT1) often precedes and strongly correlates with the eventual change in tumour volume (TVol). To understand the biological nature of ΔT1, we have performed studies in vivo and ex vivo with the allosteric mTOR inhibitor, everolimus.

methodsMice bearing RIF-1 tumours were studied by magnetic resonance imaging (MRI) to determine TVol and T1, and MR spectroscopy (MRS) to determine levels of the proliferation marker choline and levels of lipid apoptosis markers, prior to and 5 days (endpoint) after daily treatment with vehicle or everolimus (10 mg/kg). At the endpoint, tumours were ablated and an entire section analysed for cellular and necrotic quantification and staining for the proliferation antigen Ki67 and cleaved-caspase-3 as a measure of apoptosis. The number of blood-vessels (BV) was evaluated by CD31 staining. Mice bearing B16/BL6 melanoma tumours were studied by MRI to determine T1 under similar everolimus treatment. At the endpoint, cell bioluminescence of the tumours was measured ex vivo.

resultsEverolimus blocked RIF-1 tumour growth and significantly reduced tumour T1 and total choline (Cho) levels, and increased polyunsaturated fatty-acids which are markers of apoptosis. Immunohistochemistry showed that everolimus reduced the %Ki67+ cells but did not affect caspase-3 apoptosis, necrosis, BV-number or cell density. The change in T1 (ΔT1) correlated strongly with the changes in TVol and Cho and %Ki67+. In B16/BL6 tumours, everolimus also decreased T1 and this correlated with cell bioluminescence; another marker of cell viability. Receiver-operating-characteristic curves (ROC) for everolimus on RIF-1 tumours showed that ΔT1 had very high levels of sensitivity and specificity (ROCAUC = 0.84) and this was confirmed for the cytotoxic patupilone in the same tumour model (ROCAUC = 0.97).

conclusionThese studies suggest that ΔT1 is not a measure of cell density but reflects the decreased number of remaining viable and proliferating tumour cells due to perhaps cell and tissue destruction releasing proteins and/or metals that cause T1 relaxation. ΔT1 is a highly sensitive and specific predictor of response. This MRI method provides the opportunity to stratify a patient population during tumour therapy in the clinic.

Indexed as

AnimalsAntineoplastic AgentsCell CountCell SurvivalDiffusion Magnetic Resonance ImagingEverolimusMagnetic Resonance SpectroscopyMelanoma, ExperimentalMiceMice, Inbred C3HMice, Inbred C57BLPredictive Value of TestsSirolimusTreatment OutcomeTumor BurdenTumor Cells, CulturedAntineoplastic AgentsEverolimusSirolimus

Identifiers

PMID24528602
PMCPMC3932835
OpenAlexW2091910926

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.