Evidence map›Paper›PMID 33219849›Full record

ArticleEuropean radiology2021

Computed tomography reveals microenvironment changes in premetastatic lung.

Ranran Li, Yana Qi, Meng Han, Baocheng Geng, Guangyu Wang, Mingyong Han

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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.

Ranran LiCancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Yana QiCancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Meng HanSchool of Basic Medical Sciences, Shandong First Medical University, Jinan, People's Republic of China.
Baocheng GengCancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Guangyu WangCancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China.
Mingyong HanCancer Therapy and Research Center, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, 324 Jingwuweiqi Road, Jinan, 250021, People's Republic of China. hanmingyong@sina.com.ORCID http://orcid.org/0000-0001-6563-2082
Shandong University · CNShandong Provincial Hospital · CN

Funding

National Natural Science Foundation of China 81670046
6 · The paper itself

Abstract

objectivesMicroenvironment changes had occurred in the metastatic organs before the arriving of the metastatic tumor cells. In this study, we evaluated the effectiveness of computed tomography (CT) images in quantifying the microenvironment changes in the premetastatic lung under both laboratory and clinical conditions.

methodFree-breathing Balb/c mice underwent micro-CT repeatedly after the implantation of 4T1 breast tumor. CT-derived indicators (aerated lung volume, lung tissue volume, total lung volume, mean lung density, and the ratio of aerated lung volume to the total lung volume) were quantified. Hematoxylin-eosin staining was used to display the microenvironment changes in premetastatic lung. Moreover, we examined healthy adult women, adult women with histopathologically confirmed primary breast cancer, and adult women with histopathologically confirmed primary breast cancer and lung metastases in our institution to test whether the indicators derived from lung CT images changed with the growth of breast cancer.

resultsIn 4T1 tumor-bearing mice, lung density is increased before lung masses can be recognized on CT images and is correlated with the severity of inflammation in the lung microenvironment. In primary breast tumor-bearing patients, lung density is also increased before the clinical diagnosis of pulmonary metastasis and is correlated with disease score, which represents tumor progression.

conclusionsCT is a reliable and quantitative tool that yields dynamic information on metastatic processes. Microenvironmental changes had occurred in patients' lung tissue before the clinical diagnosis of pulmonary metastasis. Our research will provide new insight for clinical research on the premetastatic niche. KEY POINTS: • CT, which provides dynamic information on metastatic processes, is a reliable and quantitative tool to bridge laboratory and clinical studies of the premetastatic niche. • We confirmed that microenvironmental changes occurred in patients' lung tissue before clinicians could diagnose pulmonary metastasis. • Our results provide evidence for the study of the premetastatic niche by analyzing information obtained from CT images.

Indexed as

Lung NeoplasmsTumor MicroenvironmentAnimalsHumansLungMiceMice, Inbred BALB CTomography, X-Ray ComputedBreast cancerLungNeoplasm metastasesTomography, X-ray computed

Identifiers

PMID33219849
OpenAlexW3103450422

What OpenQuestion holds

Textmetadata
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.