Evidence map›Paper›PMID 33489823›Full record

ReviewTranslational lung cancer research2020

Future perspectives from lung cancer pre-clinical models: new treatments are coming?

Francesca Bersani, Deborah Morena, Francesca Picca, Alessandro Morotti, Fabrizio Tabbò, Paolo Bironzo, Luisella Righi, Riccardo Taulli

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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.

Francesca BersaniMassachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA.
Deborah MorenaDepartment of Oncology, University of Torino, 10043 Orbassano, Italy.
Francesca PiccaDepartment of Oncology, University of Torino, 10043 Orbassano, Italy.
Alessandro MorottiDepartment of Clinical and Biological Sciences, University of Torino, 10043 Orbassano, Italy.
Fabrizio TabbòThoracic Unit and Medical Oncology Division, Department of Oncology at San Luigi Hospital, University of Torino, 10043 Orbassano, Italy.
Paolo BironzoDepartment of Oncology, University of Torino, 10043 Orbassano, Italy.
Luisella RighiDepartment of Oncology, University of Torino, 10043 Orbassano, Italy.
Riccardo TaulliDepartment of Oncology, University of Torino, 10043 Orbassano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer currently stands out as both the most common and the most lethal type of cancer, the latter feature being partly explained by the fact that the majority of lung cancer patients already display advanced disease at the time of diagnosis. In recent years, the development of specific tyrosine kinase inhibitors (TKI) for the therapeutic benefit of patients harboring certain molecular aberrations and the introduction of prospective molecular profiling in the clinical practice have revolutionized the treatment of advanced non-small cell lung cancer (NSCLC). However, the identification of the best strategies to enhance treatment effectiveness and to avoid the critical phenomenon of drug tolerance and acquired resistance in patients with lung cancer still remains an unmet medical need. Circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) are two complementary approaches to define tumor heterogeneity and clonal evolution in a non-invasive manner and to perform functional studies on metastatic cells. Finally, the recent discovery that the tumor microenvironment architecture can be faithfully recapitulated

Indexed as

Circulating tumor cells (CTCs)circulating tumor DNA (ctDNA)drug toleranceEGFR-mutant NSCLCKRASG12C inhibitorstumor organoids

Identifiers

PMID33489823
PMCPMC7815341

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.