Evidence map›Paper›PMID 39015659›Full record

ReviewBreathe (Sheffield, England)2024

Unravelling the diagnostic pathology and molecular biomarkers in lung cancer.

Andriani Charpidou, Georgia Hardavella, Efimia Boutsikou, Emmanouil Panagiotou, Gökçen Ömeroğlu Simsek, Koen Verbeke, Daniela Xhemalaj, Joanna Domagała-Kulawik

Abstract readReview
In one paragraph

Review in Breathe (Sheffield, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Liquid biopsy in lung cancer.Breathe (Sheffield, England) · 2025
    Review
  5. Article
  6. Article
  7. Article
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

8 authors.

Andriani CharpidouOncology Unit 3rd Dept of Internal Medicine and Laboratory, Medical School National and Kapodistrian University of Athens, Athens, Greece.
Georgia Hardavella4th-9th Department of Respiratory Medicine, "Sotiria" Athens' Chest Diseases Hospital, Athens, Greece.
Efimia BoutsikouPulmonary-Oncology Department Theageneio Anticancer Hospital, Thessaloniki, Greece.
Emmanouil PanagiotouOncology Unit 3rd Dept of Internal Medicine and Laboratory, Medical School National and Kapodistrian University of Athens, Athens, Greece.
Gökçen Ömeroğlu SimsekDokuz Eylül University, Faculty of Medicine, Department of Respiratory Disease, İzmir, Turkey.ORCID https://orcid.org/0000-0002-2724-0616
Koen VerbekePulmonology Department, CUH St Pierre, Brussels, Belgium.
Daniela XhemalajDepartment of Pathology, University of Medicine, Tirana, Albania.ORCID https://orcid.org/0000-0002-2282-1606
Joanna Domagała-KulawikMaria Skłodowska-Curie Medical Academy, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progress in lung cancer treatment is closely interlinked with the progress in diagnostic methods. There are four steps before commencing lung cancer treatment: estimation of the patient's performance status, assessment of disease stage (tumour, node, metastasis), recognition of histological subtype, and detection of biomarkers. The resection rate in lung cancer is <30% and >70% of patients need systemic therapy, which is individually adjusted. Accurate histological diagnosis is very important and it is the basis of further molecular diagnosis. In many cases only small biopsy samples are available and the rules for their assessment are defined in this review. The use of immunochemistry with at least thyroid transcription factor 1 (TTF1) and p40 is decisive in distinction between lung adenocarcinoma and squamous cell carcinoma. Molecular diagnosis and detection of known driver mutations is necessary for introducing targeted therapy and use of multiplex gene panel assays using next-generation sequencing is recommended. Immunotherapy with checkpoint inhibitors is the second promising method of systemic therapy with best results in tumours with high programmed death-ligand 1 (PD-L1) expression on cancer cells. Finally, the determination of a full tumour pattern will be possible using artificial intelligence in the near future.

Identifiers

PMID39015659
PMCPMC11249841

What OpenQuestion holds

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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 OpenQuestion graph.