Cited by 231Cancer Immunotherapy and BiomarkersLung Cancer Treatments and MutationsLung Cancer Research Studies

Efficacy of immune checkpoint inhibitors in KRAS-mutant non-small cell lung cancer (NSCLC)

Open access
Jeanson, Arnaud, Tomasini, Pascale, Souquet-Bressand, Maxime, Brandone, Nicolas, Boucekine, Mohamed, Grangeon, Mathieu, Chaleat, Solène, Khobta, Natalyia +10 more·2019·Journal of Thoracic Oncology

Abstract

INTRODUCTION: KRAS mutation is the most frequent molecular alteration found in advanced NSCLC; it is associated with a poor prognosis without available targeted therapy. Treatment options for NSCLC have been recently enriched by the development of immune checkpoint inhibitors (ICIs), and data about its efficacy in patients with KRAS-mutant NSCLC are discordant. This study assessed the routine efficacy of ICIs in advanced KRAS-mutant NSCLC. METHODS: In this retrospective study, clinical data were extracted from the medical records of patients with advanced NSCLC treated with ICIs and with available molecular analysis between April 2013 and June 2017. Analysis of programmed death ligand 1 (PD-L1) expression was performed if exploitable tumor material was available. RESULTS: A total of 282 patients with ICI-treated (in the first line or more) advanced NSCLC (all histological subgroups) who were treated with ICIs (anti-programmed death 1, anti-PD-L1, or anti-cytotoxic T-lymphocyte associated protein 4 antibodies), including 162 (57.4%) with KRAS mutation, 27 (9.6%) with other mutations, and 93 (33%) with a wild-type phenotype, were identified. PD-L1 analysis was available for 128 patients (45.4%), of whom 45.3% and 19.5% had PD-L1 expression of 1% or more and 50%, respectively (49.5% and 21.2%, respectively, in the case of the 85 patients with KRAS-mutant NSCLC). No significant difference was seen in terms of objective response rates, progression-free survival, or overall survival between KRAS-mutant NSCLC and other NSCLC. No significant differences in overall survival or progression-free survival were observed between the major KRAS mutation subtypes (G12A, G12C, G12D, G12V, and G13C). In KRAS-mutant NSCLC, unlike in non-KRAS-mutant NSCLC, the efficacy of ICIs is consistently higher, even though not statistically significant, for patients with PD-L1 expression in 1% or more of tumor cells than for those with PD-L1 expression in less than 1% of tumor cells, and this finding is especially true when PD-L1 expression is high (PD-L1 expression ≥50%). CONCLUSION: For patients with KRAS-mutant NSCLC (all mutational subtypes), the efficacy of ICI is similar to that for patients with other types of NSCLC. PD-L1 expression seems to be more relevant for predicting the efficacy of ICIs in KRAS-mutant NSCLC than it is in other types of NSCLC.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jtho.2019.01.011

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Two other studies with advanced non-squamous NSCLC reported that the efficacy of immune checkpoint inhibitors is independent of KRAS-mutant status.

    “However, two other studies with advanced non-squamous NSCLC reported that the efficacy of immune checkpoint inhibitors is independent of KRAS-mutant status (100, 101).”

    From New Horizons in KRAS-Mutant Lung Cancer: Dawn After Darkness (2019) · cites this paper as [100]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 21 · Cited by 231

Authors
Jeanson, A., Tomasini, P., Souquet-Bressand, M., Brandone, N., Boucekine, M., Grangeon, M., Chaleat, S., Khobta, N., Milia, J., Mhanna, L., Greillier, L., Biemar, J., Nanni, I., Ouafik, L., Garcia, S., Mazières, J., Barlesi, F., & Mascaux, C.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Aix-Marseille Université (FR)
  • Université Toulouse III - Paul Sabatier (FR)
Venue
Journal of Thoracic Oncology
Publisher
Elsevier BV
Published
2019-06
Volume
14
Issue
6
Pages
1095-1101
ISSN
1556-0864 (ISSN-L)
OpenAlex
W2913235593
Cited by
231
References
21
Citations by year
2026: 12 · 2025: 26 · 2024: 29 · 2023: 49 · 2022: 45 · 2021: 44 · 2020: 17 · 2019: 9
FWCI
12.00
Type
journal article
Language
en
Open access
Locations
  • Journal of Thoracic Oncology (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc)
Funders
  • AstraZeneca
  • Bristol-Myers Squibb
  • Boehringer Ingelheim
  • Clovis Oncology
  • Eli Lilly Oncology
  • F. Hoffmann-La Roche
  • Novartis
  • Merck
  • MSD
  • Pierre Fabre
  • Pfizer
  • Takeda
  • Roche
  • BMS
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
Keywords
KRAS mutation, non-small cell lung cancer, immune checkpoint inhibitors, PD-L1 expression, anti-PD-1, PD-L1 inhibitors, CTLA-4, objective response rate, progression-free survival, overall survival, treatment efficacy, biomarker predictive value, advanced non-small cell lung cancer, first-line therapy, second-line therapy, third-line therapy
MeSH terms
Antineoplastic Agents, Immunological, Adult, Carcinoma, Non-Small-Cell Lung, Female, Humans, Lung Neoplasms, Middle Aged, Retrospective Studies, Survival Analysis, Proto-Oncogene Proteins p21(ras), B7-H1 Antigen, Programmed Cell Death 1 Receptor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review