Evidence map›Paper›PMID 37085190›Full record

ArticleJournal for immunotherapy of cancer2023

Dissecting tumor lymphocyte infiltration to predict benefit from immune-checkpoint inhibitors in metastatic colorectal cancer: lessons from the AtezoT RIBE study.

Roberto Moretto, Daniele Rossini, Aurélie Catteau, Carlotta Antoniotti, Mirella Giordano, Alessandra Boccaccino, Clara Ugolini, Agnese Proietti, Veronica Conca, Alboukadel Kassambara and 11 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 2% 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, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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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

21 authors at 8 institutions in 2 countries.

Roberto MorettoUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Daniele RossiniUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Aurélie CatteauVeracyte, Marseille, France.
Carlotta AntoniottiUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Mirella GiordanoDepartment of Translational Research and New Technology in Medicine and Surgery, University of Pisa, Pisa, Italy.
Alessandra BoccaccinoUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Clara UgoliniDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Agnese ProiettiUnit of Pathological Anatomy 3, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Veronica ConcaUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.ORCID 0000-0001-7713-4005
Alboukadel KassambaraVeracyte, Marseille, France.
Filippo PietrantonioDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Lisa SalvatoreOncologia Medica, Comprehensive Cancer Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Sara LonardiMedical Oncology 3, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.ORCID 0000-0002-7593-8138
Stefano TamberiOncology Unit, Ravenna Hospital, AUSL Romagna, Ravenna, Italy.
Emiliano TamburiniDepartment of Oncology and Palliative Care, Cardinale G Panico, Tricase City Hospital, Tricase, Italy.
Anello Marcello PomaDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Jacques FieschiVeracyte, Marseille, France.
Gabriella FontaniniDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Gianluca MasiUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Jérôme GalonINSERM, Laboratory of Integrative Cancer Immunology, Paris, F-75006, France.
Chiara CremoliniUnit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy chiaracremolini@gmail.com.
University of Pisa · ITAzienda Ospedaliera Universitaria Pisana · ITAzienda Unità Sanitaria Locale Della Romagna · ITFondazione IRCCS Istituto Nazionale dei Tumori · ITInserm · FRIstituto Oncologico Veneto · ITOspedale di Cattinara · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor immune cells influence the efficacy of immune-checkpoint inhibitors (ICIs) and many efforts aim at identifying features of tumor immune microenvironment able to predict benefit from ICIs in proficient mismatch repair (pMMR)/microsatellite stable (MSS) metastatic colorectal cancer (mCRC).

methodsWe characterized tumor immune cell infiltrate, by assessing tumor-infiltrating lymphocytes (TILs), Immunoscore, Immunoscore-IC, and programmed death ligand-1 (PD-L1) expression in tumor samples of patients with mCRC enrolled in the AtezoTRIBE study, a phase II randomized trial comparing FOLFOXIRI/bevacizumab/atezolizumab to FOLFOXIRI/bevacizumab, with the aim of evaluating the prognostic and predictive value of these features.

resultsOut of 218 patients enrolled, 181 (83%), 77 (35%), 157 (72%) and 162 (74%) specimens were successfully tested for TILs, Immunoscore, Immunoscore-IC and PD-L1 expression, respectively, and 69 (38%), 45 (58%), 50 (32%) and 21 (13%) tumors were classified as TILs-high, Immunoscore-high, Immunoscore-IC-high and PD-L1-high, respectively. A poor agreement was observed between TILs and Immunoscore or Immunoscore-IC (K of Cohen <0.20). In the pMMR population, longer progression-free survival (PFS) was reported for Immunoscore-high and Immunoscore-IC-high groups compared with Immunoscore-low (16.4 vs 12.2 months; HR: 0.55, 95% CI: 0.30 to 0.99; p=0.049) and Immunoscore-IC-low (14.8 vs 11.5 months; HR: 0.55, 95% CI: 0.35 to 0.85; p=0.007), respectively, with a significant interaction effect between treatment arms and Immunoscore-IC (p for interaction: 0.006) and a trend for Immunoscore (p for interaction: 0.13). No PFS difference was shown according to TILs and PD-L1 expression. Consistent results were reported in the overall population.

conclusionsThe digital evaluation of tumor immune cell infiltrate by means of Immunoscore-IC or Immunoscore identifies the subset of patients with pMMR mCRC achieving more benefit from the addition of the anti-PD-L1 to the upfront treatment. Immunoscore-IC stands as the most promising predictor of benefit from ICIs.

Indexed as

Colonic NeoplasmsColorectal NeoplasmsRectal NeoplasmsBevacizumabHumansImmune Checkpoint InhibitorsLymphocytesTumor MicroenvironmentBevacizumabImmune Checkpoint InhibitorsImmune Checkpoint InhibitorsImmunotherapyT-LymphocytesTumor Microenvironment

Identifiers

PMID37085190
PMCPMC10124320
OpenAlexW4366742732

What OpenQuestion holds

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Registered trials

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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.