Evidence map›Paper›PMID 36307149›Full record

ArticleJournal for immunotherapy of cancer2022

Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapy.

Roger Sun, Marvin Lerousseau, Jade Briend-Diop, Emilie Routier, Severine Roy, Théophraste Henry, Kanta Ka, Rui Jiang, Nawal Temar, Alexandre Carré and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Multi-omics spatial characteristics of CD8Frontiers in immunology · 2025
    Article
  11. Article
  12. Article
  13. Radiomic-based prediction of lesion-specific systemic treatment response in metastatic disease.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Radiomic-Based Approaches in the Multi-metastatic Setting: A Quantitative Review.medRxiv : the preprint server for health sciences · 2024
    Article
  18. Rapidly Evolving Pre- and Post-surgical Systemic Treatment of Melanoma.American journal of clinical dermatology · 2024
    Review
  19. Article
  20. 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

17 authors at 3 institutions in 2 countries.

Roger SunDepartment of Radiation Oncology, Gustave Roussy, Villejuif, France.ORCID 0000-0001-9866-6449
Marvin LerousseauUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Jade Briend-DiopUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Emilie RoutierDermatology Unit, Department of Medicine, Gustave Roussy, Villejuif, France.
Severine RoyDermatology Unit, Department of Medicine, Gustave Roussy, Villejuif, France.
Théophraste HenryUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.ORCID 0000-0003-0672-415X
Kanta KaDepartment of Radiation Oncology, Gustave Roussy, Villejuif, France.
Rui JiangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Nawal TemarDepartment of Radiation Oncology, Gustave Roussy, Villejuif, France.
Alexandre CarréUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Adrien LavilleUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Anthony HamaouiUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Pierre-Antoine LaurentUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Angela RouyarUniversité Paris Saclay, Inserm U1030, Radiothérapie Moléculaire et Innovation Thérapeutique, Gustave Roussy, Villejuif, France.
Charlotte RobertDepartment of Radiation Oncology, Gustave Roussy, Villejuif, France.ORCID 0000-0001-8838-1343
Caroline RobertDermatology Unit, Department of Medicine, Gustave Roussy, Villejuif, France.
Eric DeutschDepartment of Radiation Oncology, Gustave Roussy, Villejuif, France eric.deutsch@gustaveroussy.fr.
Inserm · FRInstitut Gustave Roussy · FRFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile there is still a significant need to identify potential biomarkers that can predict which patients are most likely to respond to immunotherapy treatments, radiomic approaches have shown promising results. The objectives of this study were to evaluate whether a previously validated radiomics signature of CD8 T-cells could predict progressions at a lesion level and whether the spatial heterogeneity of this radiomics score could be used at a patient level to assess the clinical response and survival of melanoma patients.

methodsClinical data from patients with advanced melanoma treated in our center with immunotherapy were retrieved. Radiomic features were extracted and the CD8 radiomics signature was applied. A progressive lesion was defined by an increase in lesion size of 20% or more. Dispersion metrics of the radiomics signature were estimated to evaluate the impact of interlesion heterogeneity on patient's response. Fine-tuned cut-offs for predicting overall survival were evaluated after splitting data into training and test sets.

resultsA total of 136 patients were included in this study, with 1120 segmented lesions at baseline, and 1052 lesions at first evaluation. A low CD8 radiomics score at baseline was associated with a significantly higher risk of lesion progression (AUC=0.55, p=0.0091), especially for lesions larger than >1 mL (AUC=0.59 overall, p=0.0035, with AUC=0.75, p=0.002 for subcutaneous lesions, AUC=0.68, p=0.01, for liver lesions and AUC=0.62, p=0.03 for nodes). The least infiltrated lesion according to the radiomics score of CD8 T-cells was positively associated with overall survival (training set HR=0.31, p=0.00062, test set HR=0.28, p=0.016), which remained significant in a multivariate analysis including clinical and biological variables.

conclusionsThese results confirm the predictive value at a lesion level of the biologically inspired CD8 radiomics score in melanoma patients treated with anti-PD1-based immunotherapy and may be interesting to assess the disease spatial heterogeneity to evaluate the patient prognosis with potential clinical implication such as tumor selection for focal ablative therapies.

Indexed as

ImmunotherapyMelanomaCD8-Positive T-LymphocytesHumansPrognosisimmunotherapymelanomatumor biomarkerstumor microenvironment

Identifiers

PMID36307149
PMCPMC9621183
OpenAlexW4307468674

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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.