Evidence map›Paper›PMID 42363127›Full record

ArticleBMC cancer2026

Measurement of metabolic activity by telemetric temperature sensing after immunotherapy and chemotherapy on three different mouse tumor models.

Sina Meisamy, Kurt Brattain, Qi Shao, Daniel Steinberger, Cade Moffitt, Reza Meisamy, Michael Nelson

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sina MeisamyBreast-Med Inc, Plymouth, MN, USA. sinarad@gmail.com.
Kurt BrattainGeissler Corporation, Minneapolis, MN, USA.
Qi ShaoDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.
Daniel SteinbergerDepartment of Radiology, University of Minnesota, Minneapolis, MN, USA.
Cade MoffittUniversity of Minnesota, Carlson School of Management, Minneapolis, MN, USA.
Reza MeisamyThe University of Texas at Austin, College of Natural Sciences, Austin, TX, USA.
Michael NelsonDepartment of Radiology, University of Minnesota, Minneapolis, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates within-subject temporal differences between tumor and body temperatures using three cancer models: melanoma, breast cancer, and colon cancer, to monitor the effects of immunotherapy and chemotherapy on temperature differences. In the melanoma arm, TRP-2 immunotherapy led to increased tumor temperatures compared to the control group, with significant overall treatment separation observed at 58 h into the treatment protocol. For breast cancer, AC-Taxol chemotherapy resulted in a drop in body temperature for both treatment and control groups, with significant treatment group separation on tumor vs. body observed at 96 h. In colon cancer, anti-PD-1 immunotherapy showed an upward trend in tumor temperatures, with significant separation from the control group at 94 h. A series of statistical tests, including mixed-model repeated measures and non-parametric tests, revealed significant differences in temperature trends between treatment and control groups for all cancer types. Furthermore, examination of radial smoothing repeated measures models revealed how the clinical application of this technology could be applied. These results suggest that temperature-based monitoring may be an effective tool for assessing therapeutic responses in cancer treatments, highlighting the utility of thermal measurements in evaluating immunotherapy and chemotherapy efficacy.

Indexed as

Body TemperatureBreast NeoplasmsColonic NeoplasmsImmunotherapyTelemetryAnimalsCell Line, TumorDisease Models, AnimalFemaleHumansMiceBiothermal biomarkersCancer therapy responseChemotherapyImmunotherapyImplantable temperature sensorsMixed-model analysisStructural equation modelingTemperature-based monitoringThermal profiling in cancer

Identifiers

PMID42363127
PMCPMC13563789

What OpenQuestion holds

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Registered trials

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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.