Evidence map›Paper›PMID 31089796›Full record

ArticleDer Pathologe2019

[Digitalization and multiplex IHC as predictive biomarkers for novel immune-therapeutics : New challenges for immunohistochemistry].

D Zielinski

Abstract read
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In one paragraph

Article in Der Pathologe, 2019. 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
–field-weighted citation impact
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.

  1. 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

1 author.

D ZielinskiTargos Molecular Pathology GmbH, Germaniastraße 7, 34119, Kassel, Deutschland. dirk.zielinski@targos-gmbh.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular biology assays, for example next-generation sequencing, whole-exosome sequencing, and RNAseq, are well-established tools in precision oncology. Novel therapeutic concepts like bi- or multivalent antibodies may require different diagnostic approaches. In this context, multiplexed immunohistochemistry (IHC) in combination with digital image analysis offers a wide range of application possibilities.Many therapeutics currently tested in early clinical phases or preclinical development aim at the modulation of the immune response to the tumor. The respective diagnostic procedures have to address questions, e.g. regarding the spatial relationship of target and effector cells or the presence and ratio of certain cell subpopulations. These questions are also increasingly raised by the more classical therapeutics, such as monoclonal antibodies or antibody-drug conjugates.While it is hard to identify the same or adjacent cells in serial sections, multiplexed IHC assays combine oligoparametric analysis and cellular context. Establishment and validation of such assays is more complex than for common single-plex procedures with regard to specificity, accuracy and precision. Digital image analysis algorithms as an emerging tool for standardized evaluation of (multiplexed) IHC assays need to be set up in parallel with the wet lab procedures.This article focusses on the potential new role for multiplexed in situ assays in a yet-to-be-established precision pathology as a discipline of precision oncology.

Indexed as

ImmunohistochemistryNeoplasmsAlgorithmsBiomarkersHumansPrecision MedicineBiomarkersBiomarkerComputer-assisted image interpretationImmunoconjugatesImmunohistochemistryPrecision medicine

Identifiers

What OpenQuestion holds

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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.