Evidence map›Paper›PMID 41330615›Full record

Trial reportJournal for immunotherapy of cancer2025

Spatiotemporal dynamics of T cells in peripheral blood and tumor underlying differential responses to neoadjuvant PD-1 blockade in hepatocellular carcinoma.

Yajing Zhang, Yu-Man Tsui, Joyce Man-Fong Lee, Tan-To Cheung, Daniel Wai-Hung Ho, Irene Oi-Lin Ng

Registry-linked trialAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05471674 (Neoadjuvant Immunotherapy With Anti-PD1 in Borderline Resectable Hepatocellular Carcinoma), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05471674 phase2completednot on this map

Neoadjuvant Immunotherapy With Anti-PD1 in Borderline Resectable Hepatocellular Carcinoma

TypeinterventionalSponsorDr Tan-to CHEUNGRan2020 to 2022Enrolled20ConditionsHepatocellular Carcinoma, HCC, Liver CancerArmsNivolumab, Hepatectomy
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

6 authors.

Yajing ZhangDepartment of Pathology, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China.ORCID http://orcid.org/0000-0002-4107-6656
Yu-Man TsuiDepartment of Pathology, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China.
Joyce Man-Fong LeeDepartment of Pathology, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China.
Tan-To CheungState Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China.
Daniel Wai-Hung HoDepartment of Pathology, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China.
Irene Oi-Lin NgDepartment of Pathology, The University of Hong Kong, Hong Kong, Hong Kong, People's Republic of China iolng@hku.hk.ORCID http://orcid.org/0000-0001-7532-2029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed cell death protein-1 (PD-1) blockade has shown promising clinical efficacy in hepatocellular carcinoma (HCC), yet the underlying immunological mechanisms governing response and resistance remain unclear. This study aimed to delineate the temporal and spatial dynamics of T-cell clonotypes and their relationship with pathological response in neoadjuvant PD-1 blockade therapy in HCC. By integrating T-cell receptor (TCR) repertoire analysis with transcriptomic profiling, we sought to elucidate the immune landscape alterations associated with treatment outcomes.

methodsWe analyzed longitudinal, matched tumor and blood samples from our previous clinical trial (NCT05471674), encompassing 114 specimens, including pre-nivolumab tumor biopsies, post-treatment resected tumors, adjacent non-tumorous livers, and peripheral blood collected before, after, and during follow-up from 19 treatment-naïve HCC. TCR clonality, diversity, and transcriptomic signatures were assessed to characterize immune responses.

resultsElevated clonality of intratumoral TCR clonotypes (ITCs) post-treatment correlated with increased pathological tumor necrosis, predominantly driven by the most abundant top 1% ITCs. These dominant clonotypes occupied a significantly larger clonal space and demonstrated increased spatial sharing across tumor, non-tumorous liver, and peripheral blood compartments in nivolumab responders (nivo-Rs). Shared clonotypes were positively associated with tumor necrosis extent and cytolytic activity, suggesting active immune engagement. Post-treatment, shared clonotypes exhibited peripheral expansion and greater intratumoral dominance in nivo-Rs, whereas tumor unique intratumoral TCR clonotypes (ITCs) remained prevalent in non-responders (nivo-NRs). These divergent patterns were linked to higher chemokine expression within the tumor microenvironment of nivo-Rs and impaired human leukocyte antigen (HLA) class II antigen presentation in nivo-NRs, indicating distinct immune landscape configurations influencing therapeutic response.

conclusionsOur findings demonstrate that the peripheral infiltration and expansion of high-frequency intratumoral T-cell clonotypes are critical drivers of pathological response to neoadjuvant PD-1 blockade in HCC, highlighting potential immune biomarkers and therapeutic targets to enhance immunotherapy efficacy.

Indexed as

Carcinoma, HepatocellularImmune Checkpoint InhibitorsLiver NeoplasmsProgrammed Cell Death 1 ReceptorT-LymphocytesAgedFemaleHumansMaleMiddle AgedNeoadjuvant TherapyTumor MicroenvironmentImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorHepatocellular CarcinomaImmune Checkpoint InhibitorImmunotherapyNeoadjuvantT cell Receptor - TCR

Identifiers

PMID41330615
PMCPMC12673557

What Socratic holds

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Registered trials

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 Socratic graph.