Evidence map›Paper›PMID 41733661›Full record

ReviewPathologie (Heidelberg, Germany)2026

[Update on the regression grading of non-small cell lung cancer].

Felix Elsner, Lena-Maria Löwer-Kiem, Florian Fuchs, Sabina Berezowska, Konrad Steinestel

Abstract readEnglish AbstractReview
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Felix ElsnerInstitut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
Lena-Maria Löwer-KiemInstitut für Pathologie und Molekularpathologie, Bundeswehrkrankenhaus Ulm, Ulm, Deutschland.
Florian FuchsMedizinische Klinik 1, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
Sabina BerezowskaInstitut Universitaire de Pathologie, Centre Hospitalier Universitaire Vaudois et Université de Lausanne, Lausanne, Schweiz.
Konrad SteinestelInstitut für Pathologie und Molekularpathologie, Bundeswehrkrankenhaus Ulm, Ulm, Deutschland. konradsteinestel@bundeswehr.org.ORCID http://orcid.org/0000-0002-6549-9848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors combined with conventional chemotherapy have led to significantly improved outcomes in the neoadjuvant and perioperative treatment of non-small cell lung cancer (NSCLC), establishing chemoimmunotherapy as the standard of care for patients in UICC stages IIA-IIIA. As a result, pathological assessment of therapy-induced tumor response has become essential. This article provides an overview of the current recommendations for macroscopic handling, histological evaluation, and staging of NSCLC resection specimens after neoadjuvant treatment. Key aspects include comprehensive embedding of the tumor bed, quantitative assessment of tumor bed components (viable tumor, stroma/inflammation, necrosis) in 10% increments, and the application of established regression grading systems (IASLC, Junker). Challenges in distinguishing therapy-induced changes, evaluating lymph nodes, and determining post-treatment staging are discussed. Current findings highlight the need for standardized diagnostic procedures and further research to identify predictive biomarkers and improve the prognostic value of pathological regression grading after neoadjuvant chemoimmunotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsHumansImmune Checkpoint InhibitorsImmunotherapyNeoadjuvant TherapyNeoplasm GradingNeoplasm StagingPrognosisImmune Checkpoint InhibitorsCheckpoint inhibitionLung cancer therapy responseNeoadjuvant chemoimmunotherapyTumor regression

Identifiers

PMID41733661
PMCPMC13109172

What Socratic 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 Socratic graph.