Evidence map›Paper›PMID 41602369›Full record

ReviewFrontiers in oncology2025

Unlocking the potential of immunotherapy for patients with resectable non-small cell lung cancer.

Sandip Pravin Patel, Justin Gainor, Steven Kao, Se-Hoon Lee, Tony Mok, Riyaz Shah, Caicun Zhou, Solange Peters

Erratum issuedAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

8 authors.

Sandip Pravin PatelUC San Diego Moores Cancer Center, San Diego, CA, United States.
Justin GainorMassachusetts General Hospital, Boston, MA, United States.
Steven KaoChris O'Brien Lifehouse, Camperdown, NSW, Australia.
Se-Hoon LeeSamsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Tony MokState Key Laboratory of Translational Oncology, Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Riyaz ShahMaidstone Hospital, Maidstone, Kent, United Kingdom.
Caicun ZhouShanghai East Hospital, Shanghai, China.
Solange PetersLausanne University Hospital, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following positive results in advanced and metastatic non-small cell lung cancer (NSCLC), there has been a move toward the application of immunotherapy in the treatment of locally advanced, resectable, oncogene driver-negative disease. To date, there have been eight Phase III trials across the adjuvant, neoadjuvant, and perioperative settings that demonstrate benefit with (chemo)-immunotherapy in patients with resectable NSCLC. Given the wealth of immunotherapy treatment regimens both available and under investigation in this setting, there is a need to determine the optimal timing of immunotherapy treatment (neoadjuvant, perioperative, or adjuvant) across disease stages to aid clinical decision-making. Established treatment guidelines often diverge, highlighting the need for a multidisciplinary team approach and consensus decision-making based on the latest evidence in the resectable setting. Finally, there is an unmet need surrounding the role of key predictive factors and response assessments, to assist clinicians in selecting patients for immunotherapy regimens. The aim of this review is to evaluate the current data and key considerations surrounding immunotherapy for the treatment of resectable NSCLC, including key parameters to inform de-escalating and escalating treatment approaches.

Indexed as

adjuvantimmunotherapylocally advancedneoadjuvantNSCLCPD-L1perioperativeresectable

Identifiers

PMID41602369
PMCPMC12832371

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.