Evidence map›Paper›PMID 18325047›Full record

ArticleCancer science2008

Functional analysis of individual cells and microenvironment of breast cancer-draining lymph nodes.

Naomi Zurgil, Assaf Deutsch, Elena Afrimzon, Yana Shafran, Reuven Tirosh, Judith Sandbank, Itzhak Pappo, Mordechai Deutsch

Open access · greenAbstract read
In one paragraph

Article in Cancer science, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Naomi ZurgilThe Biophysical Interdisciplinary Schottenstein Center for the Research and the Technology of the Cellome, Department of Physics, Bar Ilan University, Ramat Gan, 52900, Israel.
Assaf Deutsch
Elena Afrimzon
Yana Shafran
Reuven Tirosh
Judith Sandbank
Itzhak Pappo
Mordechai Deutsch
Bar-Ilan University · ILAssaf Harofeh Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of distant metastases is the major cause of death in breast cancer (BC). In many BC cases, metastases are present in patients with no metastasis-positive lymph nodes (LN). Hence, there is a need to improve prognosis by a better prediction of the nodal status and tumor spread. The current study is designed to develop and utilize new functional characteristics of the cells and microenvironment of BC-draining LN, which may help to improve the estimation of LN metastatic involvement. Innovative devices and methodologies were developed for collecting, transferring, and analyzing LN at an individual-cell resolution. Using these devices, a suspension of living cells were prepared from the LN and processed for various assays, including immunophenotypic analysis, activation status, and invasion activity. The functional profile of tumor-activated LN cells showed an increase in the intracellular enzymatic reaction rate, accompanied by a homogeneous distribution of transferrin receptor as well as by a significant increase in matrix metalloproteinase proteolytic activity. Moreover, the proportion of cells exhibiting such a profile was significantly higher in tumor-containing LN than in tumor-free LN. Thus, the live and postfixation features of LN cells and their microenvironment, correlated with the functional status of the LN, may serve to improve their predictive value in breast cancer examination.

Indexed as

AgedBreast NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesMatrix MetalloproteinasesMiddle AgedMatrix Metalloproteinases

Identifiers

PMID18325047
PMCPMC11158571
OpenAlexW1990246631

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.