Evidence map›Paper›PMID 33298718›Full record

ReviewCancer journal (Sudbury, Mass.)

Overview of Lung Cancer Immunotherapy.

Miguel F Sanmamed, Iñaki Eguren-Santamaria, Kurt A Schalper

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Frontiers in immunology · 2025
    Article
  2. Article
  3. The Importance ofDiagnostics (Basel, Switzerland) · 2021
    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

3 authors.

Miguel F Sanmamed
Iñaki Eguren-SantamariaFrom the Program of Immunology and Immunotherapy, Center for Applied Medical Research.
Kurt A SchalperDepartment of Pathology, Yale University School of Medicine, New Haven, CT.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Shuangge Ma · 2015 to 2026
$31.1M
Quantitative and Spatially-Resolved Analysis of the Tumor Immune Contexture for Optimal Diagnosis and Treatment of Lung CancerR37CA245154 · NCI · YALE UNIVERSITY · PI SCHALPER, KURT A · 2020 to 2025
$2.6M
ROLE OF THE HLA ANTIGEN PRESENTING MACHINERY (APM) IN RESISTANCE TO PD-1 AXIS BLOCKADE IN NON-SMALL CELL LUNG CANCERR03CA219603 · NCI · YALE UNIVERSITY · PI FERRONE, SOLDANO, SCHALPER, KURT A · 2019 to 2020
$184k
NCATS NIH HHS UL1 TR001863NCI NIH HHS P50 CA196530NCI NIH HHS R03 CA219603NCI NIH HHS R37 CA245154
6 · The paper itself

Abstract

Anti-PD-(L)1 therapy represents a turning point in lung cancer immunotherapy, moving from previously ineffective enhancer strategies to immune checkpoints as standard first- and second-line therapies. This unprecedented success highlights the importance of mechanisms to escape immune attack, such PD-1/PD-L1 axis, and emphasize the importance to better understand the tumor immune microenvironment. Analyzing the specifics of immune response against lung tumor cells and how malignant cells progressively adapt to this pressure may help to understand which are the key aspects to guide the development of new therapeutic strategies. Here we review the past and present of clinical lung cancer immunotherapy and give a perspective for the future development based on emerging biological insights.

Indexed as

ImmunotherapyLung NeoplasmsB7-H1 AntigenHumansMolecular Targeted TherapyProgrammed Cell Death 1 ReceptorTumor MicroenvironmentB7-H1 AntigenProgrammed Cell Death 1 Receptor

Identifiers

PMID33298718
PMCPMC8175029

What OpenQuestion holds

Textmetadata
LicenceTDM
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.