Evidence map›Paper›PMID 41717421›Full record

ReviewFrontiers in oncology2026

Reframing tumor bed evaluation in non-small cell lung cancer: histopathological challenges and future directions in the era of neoadjuvant immunotherapy.

Federica Pezzuto, Eleonora Faccioli, Omar El Mnif, Giuseppe Maggioni, Francesca Lunardi, Francesco Fortarezza, Chiara Giraudo, Marco Schiavon, Laura Bonanno, Giulia Pasello and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Federica PezzutoDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Eleonora FaccioliDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Omar El MnifPathology Unit, Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia.
Giuseppe MaggioniDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Francesca LunardiDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Francesco FortarezzaUniversity Hospital of Padova, Padova, Italy.
Chiara GiraudoDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Marco SchiavonDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Laura BonannoDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Giulia PaselloDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.
Andrea Dell'AmoreDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.
Fiorella CalabreseDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of neoadjuvant immunotherapy in non-small cell lung cancer (NSCLC) has led to complex tumor responses that challenge conventional pathological assessment. Thus, traditional endpoints such as major pathological response (MPR) and pathological complete response (pCR) may become insufficient to capture the full spectrum of immune-mediated changes. Indeed, these parameters were originally developed in the context of cytotoxic chemotherapy and may not reflect immune-mediated phenomena and stromal remodeling which can significantly alter the appearance of the tumor bed. As a result, MPR and pCR may underrepresent the true extent of biological response in patients treated with immunotherapy. This review outlines current limitations in morphologic evaluation and highlights the need for immune-adapted criteria. Furthermore, it explores the additional value of digital pathology and AI that offer objective and reproducible quantification of histologic features. Integrating these tools with radiologic and molecular data supports a multidimensional approach to response assessment, aiming to refine prognostication, guide adjuvant therapy, and ensure consistency in clinical trial designs.

Indexed as

immunotherapymajor pathologic responsenon-small cell lung cancerpathologic complete responsepathologic responsetumor bed

Identifiers

PMID41717421
PMCPMC12913143

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.