Cited by 19Lung Cancer Treatments and MutationsLung Cancer Diagnosis and TreatmentLung Cancer Research Studies

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Breakthroughs in the treatment of advanced squamous-cell NSCLC: not the neglected sibling anymore?

Open access

Abstract

During the last years, translational research has contributed in many advances in the treatment of non-small cell lung cancer (NSCLC) discovering genetic alternations or recognizing the immuno-escape and neo-angiogenesis of lung cancer. Although the majority of these advances took place in the non-squamous histological subtype, therapeutic options for patients diagnosed with advanced squamous cell lung cancer (SqCLC) have been also enriched significantly with the addition of nab-paclitaxel in the conventional chemotherapy; the introduction of necitumumab, afatinib and erlotinib in the inhibition of epidermal growth factor receptor (EGFR) axis and of ramucirumab in the inhibition of VEGF-induced angiogenesis and last with the approvals of nivolumab, pembrolizumab atezolizumab and durvalumab soon in the promising field of immunotherapies. Agents targeted various other pathways including FGFR, IGF-1, PI3K, CDK4/6, MET and PARP inhibitors are under investigation in order to open new prospects in the treatment of SqCLC. In this review, we present all published data that led to recent approvals for the treatment of advanced SqCLC and all ongoing clinical trials that keep searching for new molecular targets following a more-personalized approach.

Overview

Integrity signals

Registry

Crossref · 10.21037/atm.2018.02.18

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Trastuzumab emtansine targets HER2-positive breast cancer cells and improves survival in patients with metastatic disease.

    “For example, trastuzumab emtansine (T-DM1) targets HER2-positive breast cancer cells, improving survival in patients with metastatic disease (Tsironis et al., 2018).”

    From Spatial pharmacology of anti-cancer immunomodulators: a comprehensive review (2026) · cites this paper as Tsironis et al., 2018

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Metadata

Authors
Tsironis, G., Ziogas, D. C., Kyriazoglou, A., Lykka, M., Koutsoukos, K., Bamias, A., & Dimopoulos, M.-A.
Affiliations
National and Kapodistrian University of Athens (GR)
Corresponding author
Tsironis, Georgios
Venue
Annals of Translational Medicine
Published
2018-04
Volume
6
Issue
8
Pages
143-143
ISSN
  • 2305-5839 (ISSN-L)
  • 2305-5847
OpenAlex
W2790527927
Cited by
19
References
12
Citations by year
2026: 2 · 2025: 2 · 2024: 4 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 3 · 2018: 1
FWCI
0.36
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Annals of Translational Medicine (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
  • Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
Keywords
lung squamous cell carcinoma, advanced non-small cell lung cancer, EGFR inhibitors, EGFR tyrosine kinase inhibitors, necitumumab, afatinib, erlotinib, ramucirumab, VEGF inhibition, immune checkpoint inhibitors, nivolumab, pembrolizumab, atezolizumab, durvalumab, immunotherapy, FGFR inhibitors, PARP inhibitors, CDK4/6 inhibitors, PI3K inhibitors, insulin-like growth factor I, MET inhibitors, targeted therapy, personalized medicine, clinical trials

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