Evidence map›Paper›PMID 26603532›Full record

ArticleBMC cancer2015

Using second harmonic generation to predict patient outcome in solid tumors.

K Burke, M Smid, R P Dawes, M A Timmermans, P Salzman, C H M van Deurzen, David G Beer, J A Foekens, E Brown

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  15. Extracellular Matrix Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2021
    Review
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  17. Article
  18. Article
  19. Article
  20. Characterization of pathological thyroid tissue using polarization-sensitive second harmonic generation microscopy.Laboratory investigation; a journal of technical methods and pathology · 2020
    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

9 authors at 4 institutions in 2 countries.

K BurkeDepartment of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Box 270168, Rochester, NY, 14627, USA. Kathleen_Burke@URMC.Rochester.edu.
M SmidDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands. M.smid@erasmusmc.nl.
R P DawesNeuroscience Graduate Program, University of Rochester, 601 Elmwood Ave, Rochester, NY, 14642, USA. Ryan_Dawes@URMC.Rochester.edu.
M A TimmermansDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands. M.look@erasmusmc.nl.
P SalzmanDepartment of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Ave, Rochester, NY, 14642, USA. Psalzman@bst.rochester.edu.
C H M van DeurzenDepartment of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands. C.h.m.vandeurzen@erasmusmc.nl.
David G BeerDepartments of Surgery and Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA. Dgbeer@umich.edu.
J A FoekensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands. J.foekens@erasmusmc.nl.
E BrownDepartment of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Box 270168, Rochester, NY, 14627, USA. Edward_Brown@URMC.Rochester.edu.
University of Rochester · USErasmus MC · NLErasmus MC Cancer Institute · NLUniversity of Michigan–Ann Arbor · US

Funding

Exploiting collagen organization to predict and prevent tumor metastasisDP2OD006501 · OD · UNIVERSITY OF ROCHESTER · PI BROWN, EDWARD BERNARD · 2009 to 2009
$2.3M
Exploring the Role of Collagen Structure in Breast Cancer Metastatic ProgressionF31CA183351 · NCI · UNIVERSITY OF ROCHESTER · PI BURKE, KATHLEEN ANNE · 2014 to 2014
$23k
NCI NIH HHS F31 CA183351NCI NIH HHS F31CA183351NIH HHS 1DP2OD006501-01NIH HHS DP2 OD006501
6 · The paper itself

Abstract

backgroundOver-treatment of estrogen receptor positive (ER+), lymph node-negative (LNN) breast cancer patients with chemotherapy is a pressing clinical problem that can be addressed by improving techniques to predict tumor metastatic potential. Here we demonstrate that analysis of second harmonic generation (SHG) emission direction in primary tumor biopsies can provide prognostic information about the metastatic outcome of ER+, LNN breast cancer, as well as stage 1 colorectal adenocarcinoma.

methodsSHG is an optical signal produced by fibrillar collagen. The ratio of the forward-to-backward emitted SHG signals (F/B) is sensitive to changes in structure of individual collagen fibers. F/B from excised primary tumor tissue was measured in a retrospective study of LNN breast cancer patients who had received no adjuvant systemic therapy and related to metastasis-free survival (MFS) and overall survival (OS) rates. In addition, F/B was studied for its association with the length of progression-free survival (PFS) in a subgroup of ER+ patients who received tamoxifen as first-line treatment for recurrent disease, and for its relation with OS in stage I colorectal and stage 1 lung adenocarcinoma patients.

resultsIn 125 ER+, but not in 96 ER-negative (ER-), LNN breast cancer patients an increased F/B was significantly associated with a favorable MFS and OS (log rank trend for MFS: p = 0.004 and for OS: p = 0.03). On the other hand, an increased F/B was associated with shorter PFS in 60 ER+ recurrent breast cancer patients treated with tamoxifen (log rank trend p = 0.02). In stage I colorectal adenocarcinoma, an increased F/B was significantly related to poor OS (log rank trend p = 0.03), however this relationship was not statistically significant in stage I lung adenocarcinoma.

conclusionWithin ER+, LNN breast cancer specimens the F/B can stratify patients based upon their potential for tumor aggressiveness. This offers a "matrix-focused" method to predict metastatic outcome that is complementary to genomic "cell-focused" methods. In combination, this and other methods may contribute to improved metastatic prediction, and hence may help to reduce patient over-treatment.

Indexed as

AdenocarcinomaAdultAgedAntineoplastic Agents, HormonalBreast NeoplasmsCollagenColorectal NeoplasmsFemaleHumansLung NeoplasmsMiddle AgedMolecular ImagingOptical ImagingPredictive Value of TestsReceptors, EstrogenRetrospective StudiesAntineoplastic Agents, HormonalCollagenReceptors, EstrogenTamoxifen

Identifiers

PMID26603532
PMCPMC4659155
OpenAlexW2177403062

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.