Evidence map›Paper›PMID 28069800›Full record

ArticleCancer research2017

Label-Free Raman Spectroscopy Detects Stromal Adaptations in Premetastatic Lungs Primed by Breast Cancer.

Santosh Kumar Paidi, Asif Rizwan, Chao Zheng, Menglin Cheng, Kristine Glunde, Ishan Barman

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Article
  3. Premetastatic niche mechanics and organotropism in breast cancer.npj biological physics and mechanics · 2025
    Review
  4. Raman Imaging of Targeted Drug Delivery with DNA-Based Nano-Optical Devices.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 1 institution in 2 countries.

Santosh Kumar Paidi *Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Asif Rizwan *Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Chao Zheng *Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Menglin ChengDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kristine GlundeDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ishan BarmanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins University · US

Funding

Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
Multi-scale Molecular Imaging of the Degradome in Breast TumorsR01CA154725 · NCI · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE · 2011 to 2015
$1.7M
NCI NIH HHS R01 CA154725NIBIB NIH HHS P41 EB015871
6 · The paper itself

Abstract

Recent advances in animal modeling, imaging technology, and functional genomics have permitted precise molecular observations of the metastatic process. However, a comprehensive understanding of the premetastatic niche remains elusive, owing to the limited tools that can map subtle differences in molecular mediators in organ-specific microenvironments. Here, we report the ability to detect premetastatic changes in the lung microenvironment, in response to primary breast tumors, using a combination of metastatic mouse models, Raman spectroscopy, and multivariate analysis of consistent patterns in molecular expression. We used tdTomato fluorescent protein expressing MDA-MB-231 and MCF-7 cells of high and low metastatic potential, respectively, to grow orthotopic xenografts in athymic nude mice and allow spontaneous dissemination from the primary mammary fat pad tumor. Label-free Raman spectroscopic mapping was used to record the molecular content of premetastatic lungs. These measurements show reliable distinctions in vibrational features, characteristic of the collageneous stroma and its cross-linkers as well as proteoglycans, which uniquely identify the metastatic potential of the primary tumor by recapitulating the compositional changes in the lungs. Consistent with histological assessment and gene expression analysis, our study suggests that remodeling of the extracellular matrix components may present promising markers for objective recognition of the premetastatic niche, independent of conventional clinical information. Cancer Res; 77(2); 247-56. ©2016 AACR.

Indexed as

AnimalsCell Line, TumorFemaleHumansLung NeoplasmsMammary Neoplasms, AnimalMiceMice, NudeNeoplasm MetastasisPrecancerous ConditionsSignal Processing, Computer-AssistedSpectrum Analysis, RamanTumor Microenvironment

Identifiers

PMID28069800
PMCPMC5330675
OpenAlexW2557127393

What OpenQuestion holds

Textmetadata
LicenceTDM
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.