Evidence map›Paper›PMID 34834454›Full record

ReviewJournal of personalized medicine2021

Diagnostic, Predictive, and Prognostic Biomarkers in Non-Small Cell Lung Cancer (NSCLC) Management.

Maja Šutić, Ana Vukić, Jurica Baranašić, Asta Försti, Feđa Džubur, Miroslav Samaržija, Marko Jakopović, Luka Brčić, Jelena Knežević

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Trial
  5. Tumor angiogenesis at baseline identified byJournal of translational medicine · 2022
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  6. Review
  7. Article
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  9. Article
  10. Article
  11. Review
  12. A competing TMPO-AS1-let-7b-5p-kinesin superfamily RNA network predicts poor lung cancer patient survival.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026
    Article
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  16. Article
  17. Asiatic Acid fromBiomolecules · 2025
    Article
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  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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

9 authors.

Maja ŠutićDivision of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia.
Ana VukićDivision of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia.
Jurica BaranašićDivision of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia.ORCID 0000-0001-9971-9733
Asta FörstiHopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany.ORCID 0000-0002-9857-4728
Feđa DžuburGerman Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Miroslav SamaržijaGerman Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Marko JakopovićGerman Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Luka BrčićDiagnostic and Research Institute of Pathology, Medical University of Graz, 8010 Graz, Austria.ORCID 0000-0002-9098-8416
Jelena KneževićDivision of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia.ORCID 0000-0002-3152-3563

Funding

Hrvatska Zaklada za Znanost IP-2016-06-1441
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide. Despite growing efforts for its early detection by screening populations at risk, the majority of lung cancer patients are still diagnosed in an advanced stage. The management of lung cancer has dramatically improved in the last decade and is no longer based on the "one-fits-all" paradigm or the general histological classification of non-small cell versus small cell lung cancer. Emerging options of targeted therapies and immunotherapies have shifted the management of lung cancer to a more personalized treatment approach, significantly influencing the clinical course and outcome of the disease. Molecular biomarkers have emerged as valuable tools in the prognosis and prediction of therapy response. In this review, we discuss the relevant biomarkers used in the clinical management of lung tumors, from diagnosis to prognosis. We also discuss promising new biomarkers, focusing on non-small cell lung cancer as the most abundant type of lung cancer.

Indexed as

adenocarcinomabiomarkerdiagnosisimmunotherapylung cancerprognosissquamous cell lung cancertargeted therapy

Identifiers

PMID34834454
PMCPMC8624402

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.