Evidence map›Paper›PMID 29495308›Full record

ReviewBiomedicines2018

The Peripheral and Intratumoral Immune Cell Landscape in Cancer Patients: A Proxy for Tumor Biology and a Tool for Outcome Prediction.

Annette Schnell, Christian Schmidl, Wolfgang Herr, Peter J Siska

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Reengineered Anti-CD4 Cys-diabody Variants forMolecular imaging and biology · 2025
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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

4 authors at 1 institution in 1 country.

Annette SchnellDepartment of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, 93053 Regensburg, Germany. annette.schnell@ukr.de.
Christian SchmidlRegensburg Centre for Interventional Immunology and University Medical Center of Regensburg, 93053 Regensburg, Germany. christian.schmidl@ukr.de.
Wolfgang HerrDepartment of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, 93053 Regensburg, Germany. wolfgang.herr@ukr.de.
Peter J SiskaDepartment of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, 93053 Regensburg, Germany. peter.siska@ukr.de.
University Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional systemic and local immunity is required for effective anti-tumor responses. In addition to an active engagement with cancer cells and tumor stroma, immune cells can be affected and are often found to be dysregulated in cancer patients. The impact of tumors on local and systemic immunity can be assessed using a variety of approaches ranging from low-dimensional analyses that are performed on large patient cohorts to multi-dimensional assays that are technically and logistically challenging and are therefore confined to a limited sample size. Many of these strategies have been established in recent years leading to exciting findings. Not only were analyses of immune cells in tumor patients able to predict the clinical course of the disease and patients' survival, numerous studies also detected changes in the immune landscape that correlated with responses to novel immunotherapies. This review will provide an overview of established and novel tools for assessing immune cells in tumor patients and will discuss exemplary studies that utilized these techniques to predict patient outcomes.

Indexed as

immune cellsperipheral bloodpredictionprognosistoolstumortumor-infiltrating

Identifiers

PMID29495308
PMCPMC5874682
OpenAlexW2790215060

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.