Evidence map›Paper›PMID 33915801›Full record

ArticleCancers2021

Metabolic Parameters as Biomarkers of Response to Immunotherapy and Prognosis in Non-Small Cell Lung Cancer (NSCLC): A Real World Experience.

Lavinia Monaco, Maria Gemelli, Irene Gotuzzo, Matteo Bauckneht, Cinzia Crivellaro, Carlo Genova, Diego Cortinovis, Lodovica Zullo, Luca Carlofrancesco Ammoni, Davide Paolo Bernasconi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 7% of its field
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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. The value ofFrontiers in oncology · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Total metabolic tumor volume onJournal for immunotherapy of cancer · 2024
    Article
  11. The role of baselineTherapeutic advances in medical oncology · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Annals of translational medicine · 2022
    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

13 authors at 5 institutions in 1 country.

Lavinia MonacoSchool of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy.ORCID 0000-0002-3954-6989
Maria GemelliMedical Oncology, ASST Monza, San Gerardo Hospital, 20900 Monza, Italy.ORCID 0000-0003-1143-0252
Irene GotuzzoSchool of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy.
Matteo BaucknehtIRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0002-1937-9116
Cinzia CrivellaroNuclear Medicine, ASST Monza San Gerardo Hospital, 20900 Monza, Italy.
Carlo GenovaUOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0003-3690-8582
Diego CortinovisMedical Oncology, ASST Monza, San Gerardo Hospital, 20900 Monza, Italy.ORCID 0000-0001-7611-7369
Lodovica ZulloUOC Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.ORCID 0000-0002-1659-788X
Luca Carlofrancesco AmmoniMedical Oncology, ASST Monza, San Gerardo Hospital, University of Brescia, 25123 Brescia, Italy.
Davide Paolo BernasconiBicocca Biostatistics Bioinformatics and Bioimaging Center-B4, School of Medicine and Surgery, University Milano Bicocca, 20128 Milano, Italy.ORCID 0000-0001-8771-5428
Giovanni RossiDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0001-8432-5408
Silvia MorbelliIRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Luca GuerraSchool of Medicine and Surgery, University of Milano Bicocca, 20900 Monza, Italy.ORCID 0000-0003-4197-2060
Azienda Ospedaliera San Gerardo · ITOspedale Policlinico San Martino · ITUniversity of Milano-Bicocca · ITUniversity of Brescia · ITUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune-checkpoint inhibitors (ICIs) have been proven to have great efficacy in non-small cell lung cancer (NSCLC) as single agents or in combination therapy, being capable to induce deep and durable remission. However, severe adverse events may occur and about 40% of patients do not benefit from the treatment. Predictive factors of response to ICIs are needed in order to customize treatment. The aim of this study is to evaluate the correlation between quantitative positron emission tomography (PET) parameters defined before starting ICI therapy and responses to treatment and patient outcome. We retrospectively analyzed 92 NSCLC patients treated with nivolumab, pembrolizumab or atezolizumab. Basal PET/computed tomography (CT) scan parameters (whole-body metabolic tumor volume-wMTV, total lesion glycolysis-wTLG, higher standardized uptake volume maximum and mean-SUVmax and SUVmean) were calculated for each patient and correlated with outcomes. Patients who achieved disease control (complete response + partial response + stable disease) had significantly lower MTV median values than patients who had not (progressive disease) (77 vs. 160.2,

Indexed as

immunotherapymetabolic tumor volumeNSCLCOSPET/CTPFSquantificationresponse to therapy

Identifiers

PMID33915801
PMCPMC8037395
OpenAlexW3143529327

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.