Evidence map›Paper›PMID 42067189›Full record

ArticleJHEP reports : innovation in hepatology2026

Vessels encapsulating tumor clusters predict better outcomes in advanced hepatocellular carcinoma treated with atezolizumab-bevacizumab.

Alexandre Sayadi, Claudia Campani, Astrid Laurent-Bellue, Marianne Ziol, Luca Di Tommaso, Etienne Becht, Benoit Terris, Julien Calderaro, Luca Messerini, Miguel Albuquerque and 14 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. 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. Review
  2. Review
  3. 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

24 authors.

Alexandre SayadiUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France; Department of Pathology, AP-HP.Nord, Hôpital Beaujon, FHU MOSAIC(2), SIRIC InsiTu, Clichy, France.
Claudia CampaniDepartment of Experimental and Clinical Medicine, Internal Medicine and Hepatology Unit, University of Florence, Florence, Italy; Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», Paris, France.
Astrid Laurent-BellueDepartment of Pathology, AP-HP Paris-Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Marianne ZiolCentre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», Paris, France; Department of Pathology and biobank BB-0033-00027, APHP.Hôpitaux universitaires Paris Seine-Saint-Denis Hôpital Avicenne, Bobigny, France.
Luca Di TommasoPathology Unit, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Etienne BechtUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France.
Benoit TerrisDepartment of Pathology, AP-HP Paris Centre, Hôpital Cochin, Paris, France.
Julien CalderaroDepartment of Pathology, Henri Mondor-Albert Chenevier University Hospital, AP-HP, Créteil, France.
Luca MesseriniDepartment of Human Pathology and Oncology, University of Florence, Florence, Italy; Department of Oncology, University of Florence, Florence, Italy.
Miguel AlbuquerqueUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France; Department of Pathology, AP-HP.Nord, Hôpital Beaujon, FHU MOSAIC(2), SIRIC InsiTu, Clichy, France.
Federico LipsichDepartment of Radiology, AP-HP Nord, Hôpital Beaujon, Clichy, France.
Carolina GutierrezDepartment of Radiology, AP-HP Nord, Hôpital Beaujon, Clichy, France.
Marion DhoogeDepartment of Digestive Oncology, AP-HP Paris Centre, Hôpital Cochin, Paris, France.
Lisa LelloucheDepartment of Digestive Oncology, AP-HP Paris Centre, Hôpital Cochin, Paris, France.
Giuliana AmaddeoDepartment of Hepatology, Henri Mondor-Albert Chenevier University Hospital, AP-HP, Créteil, France.
Alina PascaleHepato-Biliary Department, Paul Brousse Hospital, AP-HP Paris-Saclay, Villejuif, France.
Olivier RosmorducHepato-Biliary Department, Paul Brousse Hospital, AP-HP Paris-Saclay, Villejuif, France.
Fabio MarraDepartment of Experimental and Clinical Medicine, Internal Medicine and Hepatology Unit, University of Florence, Florence, Italy.
Lorenza RimassaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy; Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
Marco Dioguardi BurgioUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France; Department of Radiology, AP-HP Nord, Hôpital Beaujon, Clichy, France.
Jean-Charles NaultCentre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», Paris, France; Liver unit, APHP.Hôpitaux universitaires Paris Seine-Saint-Denis Hôpital Avicenne, Bobigny, France.
Mohamed BouattourDepartment of Digestive Oncology, AP-HP.Nord, Hôpital Beaujon, Clichy, France.
Valérie ParadisUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France; Department of Pathology, AP-HP.Nord, Hôpital Beaujon, FHU MOSAIC(2), SIRIC InsiTu, Clichy, France.
Aurélie BeaufrèreUniversité Paris Cité, Centre de recherche sur l'inflammation, INSERM U1149 Paris, France; Department of Pathology, AP-HP.Nord, Hôpital Beaujon, FHU MOSAIC(2), SIRIC InsiTu, Clichy, France. Electronic address: aurelie.beaufrere@aphp.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsAtezolizumab + bevacizumab and durvalumab + tremelimumab are the standard first-line therapies for advanced hepatocellular carcinoma (HCC). Histological variables routinely associated with outcomes remain poorly described. We aimed to assess the prognostic and predictive value of the vessels encapsulating tumor clusters (VETC) phenotype in this setting.

methodsWe retrospectively analyzed 208 patients in a discovery cohort with advanced HCC treated with atezolizumab + bevacizumab and available pre-treatment biopsies, and 163 patients in a validation cohort, including 99 treated with atezolizumab + bevacizumab and 64 with durvalumab + tremelimumab. In addition to baseline clinico-biological variables, we assessed histological features, including the VETC phenotype, defined as complete (≥55% of tumor area), or incomplete (1-54% of tumor area). Prognostic impacts were evaluated using multivariable Cox models.

resultsIn the discovery cohort, the complete VETC phenotype (n = 32) displayed the highest objective response rate in the cohort (66% vs. 37% in non- or incomplete VETC-HCC, p = 0.002), according to the modified RECIST. The complete VETC phenotype was independently associated with better progression-free survival (PFS) (hazard ratio [HR] 0.42, 95% CI 0.26-0.69, p <0.001) and overall survival (OS) (HR 0.46, 95% CI 0.26-0.82, p = 0.008). In the validation cohort, complete VETC-HCC was associated with worse outcomes in patients treated with durvalumab + tremelimumab (PFS: HR 2.44, 95% CI 1.12-5.29, p = 0.024; OS: HR 3.90, 95% CI 1.66-9.15, p = 0.002). Patients with complete VETC-HCC and treated with atezolizumab + bevacizumab had longer survival than patients with complete VETC-HCC and treated with durvalumab + tremelimumab (PFS: HR 0.43, 95% CI 0.17-1.06, p = 0.07; OS: HR 0.19, 95% CI 0.07-0.51, p = 0.001).

conclusionsWe identified complete VETC as a potential predictive marker of outcomes in patients with advanced HCC and treated with atezolizumab + bevacizumab or durvalumab + tremelimumab. Prospective validation of these findings is warranted. IMPACT AND IMPLICATIONS: Routinely assessable histological variables associated with response and survival are still lacking in patients with advanced HCC treated with atezolizumab + bevacizumab. In this study, we identified and validated, in a multicentric series of 371 pre-therapeutic biopsies, the complete VETC phenotype as a predictive factor for PFS and OS in patients with HCC treated with atezolizumab + bevacizumab compared with those treated with durvalumab + tremelimumab. The VETC phenotype is easily assessable in routine practice on biopsy and could help select first-line therapy, although prospective validation of these results remains necessary.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsBevacizumabCarcinoma, HepatocellularLiver NeoplasmsAgedAntibodies, MonoclonalFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesTreatment OutcomeAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedatezolizumabBevacizumabdurvalumabtremelimumabAtezolizumabBevacizumabHepatocellular carcinomaHistologyResponseVessels encapsulating tumor clusters

Identifiers

PMID42067189
PMCPMC13276544

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