Evidence map›Paper›PMID 27316334›Full record

ArticleDiagnostic pathology2016

Detection of disseminated tumor cells in lymph nodes from patients with early stage non-small cell lung cancer.

Ane Kongsgaard, Kjetil Boye, Øystein Fodstad, Siri Juell, Lars H Jørgensen, Steinar Solberg, Åslaug Helland, Odd Terje Brustugun, Gunhild Mari Mælandsmo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostic pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
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 1 institution in 1 country.

Ane KongsgaardDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, PO Box 4953, Nydalen, Oslo, NO-0424, Norway. anekkongsgaard@yahoo.com.
Kjetil BoyeDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, PO Box 4953, Nydalen, Oslo, NO-0424, Norway.
Øystein FodstadDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, PO Box 4953, Nydalen, Oslo, NO-0424, Norway.
Siri JuellDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, PO Box 4953, Nydalen, Oslo, NO-0424, Norway.
Lars H JørgensenDepartment of Cardiovascular and Thoracic Surgery, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Steinar SolbergDepartment of Cardiovascular and Thoracic Surgery, Oslo University Hospital Rikshospitalet, Oslo, Norway.
Åslaug HellandDepartment of Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Odd Terje BrustugunDepartment of Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Gunhild Mari MælandsmoDepartment of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, PO Box 4953, Nydalen, Oslo, NO-0424, Norway.
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe regional lymph node involvement is a major prognostic factor in patients with non-small cell lung cancer (NSCLC) undergoing surgical resection. Disease relapse is common, suggesting that early disseminated disease is already present in the regional lymph nodes at the time of surgery, and that the current nodal staging classification might be suboptimal. Early detection of disseminated tumor cells (DTCs) in lymph nodes could potentially enable identification of subcategories of patients with high risk of disease relapse.

methodLymph node samples were collected from 128 NSCLC patients at the time of surgery and the presence of DTCs determined by immunomagnetic selection (IMS) using the MOC31 antibody recognizing EpCAM. Results obtained with IMS were compared to the pathological staging obtained by histopathology. Associations between the presence of DTCs and clinicopathological variables and patient outcome were investigated.

resultsDTCs were detected in 40 % of the lymph node samples by IMS. Their presence was significantly associated with pN status as assessed by histopathology, and samples from 83 % of the patients with lymph node metastases (pN1-2) had detectable DTCs. In the group of patients who were negative for lymph node metastases by standard histopathology (pN0) DTCs were detected in 32 %. The presence of DTCs was not associated with any other clinicopathological variables. Patients with IMS-positive samples showed decreased relapse free survival compared to patients with IMS-negative samples, but the difference was not statistically significant. The pN status was significantly associated with both relapse free and overall survival, but the presence of DTCs had no prognostic impact in the subcategory of patients with pN0 status.

conclusionOur findings do not support further development of lymph node DTC detection for clinical use in early stage NSCLC.

Indexed as

Immunomagnetic SeparationAdultAgedAged, 80 and overAntibodies, MonoclonalCarcinoma, Non-Small-Cell LungEarly DiagnosisEpithelial Cell Adhesion MoleculeFemaleHumansLung NeoplasmsLymphatic MetastasisLymph NodesMaleMiddle AgedNeoplasm MetastasisAntibodies, MonoclonalEPCAM protein, humanEpithelial Cell Adhesion MoleculeDisseminated tumour cellsImmunomagnetic selectionLymph nodesNSCLCPrognosis

Identifiers

PMID27316334
PMCPMC4912762
OpenAlexW2421623832

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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.