Evidence map›Paper›PMID 29209060›Full record

ArticleScientific reports2017

ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples.

Hemendra Ghimire, Mahathi Venkataramani, Zhen Bian, Yuan Liu, A G Unil Perera

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  12. Infrared Spectroscopy: A New Frontier in Hematological Disease Diagnosis.International journal of molecular sciences · 2023
    Review
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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

5 authors.

Hemendra GhimireDepartment of Physics and Astronomy, GSU, Atlanta, GA, 30303, USA.
Mahathi VenkataramaniCenter of Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30302, USA.
Zhen BianCenter for Inflammation, Immunity and Infection, Georgia State University, Atlanta, GA, 30303, USA.
Yuan LiuCenter of Diagnostics and Therapeutics, Georgia State University, Atlanta, GA, 30302, USA.
A G Unil PereraDepartment of Physics and Astronomy, GSU, Atlanta, GA, 30303, USA. uperera@gsu.edu.ORCID 0000-0001-6927-7268

Funding

Regulating neutrophil response during chronic inflammation through SIRPa alteratiR01AI106839 · NIAID · GEORGIA STATE UNIVERSITY · PI LIU, YUAN · 2014 to 2018
$2.0M
NIAID NIH HHS R01 AI106839
6 · The paper itself

Abstract

This study presents, attenuated total reflection Fourier transforms infrared spectroscopy of dried serum samples in an effort to assess biochemical changes induced by non-Hodgkin's lymphoma and subcutaneous melanoma. An EL4 mouse model of non-Hodgkin lymphoma and a B16 mouse model of subcutaneous melanoma are used to extract a snapshot of tumor-associated alteration in the serum. The study of both cancer-bearing mouse models in wild types and their corresponding control types, emphasizes the diagnostic potential of this approach as a screening technique for non-Hodgkin lymphoma and melanoma skin cancer. Infrared absorbance values of the different spectral bands, hierarchical clustering and integral values of the component bands by curve fitting, show statistically significant differences (student's t-test, two-tailed unequal variance p-value < 0.05) between spectra representing healthy and tumorous mouse. This technique may thus be useful for having individualized route maps for rapid evaluation of lymphoma and melanoma status and associated therapeutic modalities.

Indexed as

AnimalsApoptosisBiomarkers, TumorCell ProliferationDiagnosis, DifferentialLymphomaMelanoma, ExperimentalMiceSpectroscopy, Fourier Transform InfraredTumor Cells, CulturedBiomarkers, Tumor

Identifiers

PMID29209060
PMCPMC5717051

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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.