Evidence map›Paper›PMID 30505714›Full record

ReviewTranslational lung cancer research2018

Challenges and unanswered questions for the next decade of immune-oncology research in NSCLC.

Niki Karachaliou, Manuel Fernandez-Bruno, Jillian Wilhelmina Paulina Bracht, Rafael Rosell

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Personalizing non-small cell lung cancer treatment through patient-derived xenograft models: preclinical and clinical factors for consideration.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  4. Article
  5. Article
  6. [Progress in Neoadjuvant Immunotherapies for Resectable Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Review
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

4 authors.

Niki KarachaliouInstitute of Oncology Rosell (IOR), University Hospital Sagrat Cor, QuironSalud Group, Barcelona, Spain.
Manuel Fernandez-BrunoInstitute of Oncology Rosell (IOR), University Hospital Sagrat Cor, QuironSalud Group, Barcelona, Spain.
Jillian Wilhelmina Paulina BrachtPangaea Oncology, Laboratory of Molecular Biology, Quiron-Dexeus University Institute, Barcelona, Spain.
Rafael RosellPangaea Oncology, Laboratory of Molecular Biology, Quiron-Dexeus University Institute, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 20 years there have been great advances in the treatment of lung cancer. Immune checkpoint blockade together with targeted therapies have provided oncologists with the means to improve survival of non-small cell lung cancer (NSCLC) and patients with a better quality of life and therapies with manageable toxicity. Maybe in a short period of time the possibility of a cure in metastatic NSCLC will be raised. Therefore, continued research into new drugs, biomarkers and especially combination therapies is necessary in order to expand the clinical benefit of the current treatments to a broader population of NSCLC patients. The purpose of our review is to highlight our thoughts about potential mechanisms of resistance to immunotherapy that, if better explored, can provide us with both biomarkers to predict response to these therapies and partners to combine with and prolong the benefit of immune checkpoint blockade. We are presenting our own experience of immunotherapy with a case report from our institution.

Indexed as

biomarkerscombinationsimmunotherapyLung cancer

Identifiers

PMID30505714
PMCPMC6249614

What OpenQuestion holds

Textmetadata
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.