Evidence map›Paper›PMID 42482408›Full record

ReviewCancer2026

Tumor-infiltrating lymphocyte (TIL) therapy: Historical context, clinical applications, and future directions.

Shen Li, Alexandra E Rojek, Reid Shaw, Cristina O'Donoghue, J Michael Millis, Daniel J Olson

Abstract readReview
In one paragraph

Review in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shen LiDepartment of Surgery, City of Hope Cancer Center, Zion, Illinois, USA.
Alexandra E RojekSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, Illinois, USA.
Reid ShawSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, Illinois, USA.
Cristina O'DonoghueDivision of Surgical Oncology, Department of Surgery, University of Chicago Medical Center, Chicago, Illinois, USA.
J Michael MillisDivision of Surgical Oncology, Department of Surgery, University of Chicago Medical Center, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-5361-5776
Daniel J OlsonSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-8902-7661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past 15 years, immunotherapy has become a major strategy for cancer therapy. Tumor-infiltrating lymphocyte (TIL) therapy has been under investigation for nearly four decades and received its first Food and Drug Administration approval in 2024, when lifileucel was approved for patients with previously treated metastatic melanoma. TIL therapy is a form of cell-based immunotherapy that uses autologous T cells isolated from the tumor microenvironment, which are expanded ex vivo and reinfused to mediate tumor regression after lymphodepleting chemotherapy and high-dose interleukin-2. Current data demonstrate durable responses in a subset of heavily pretreated patients with advanced melanoma, and early clinical studies suggest activity in other immunogenic solid tumors. In this review, the historical development of TIL therapy, its current clinical applications, emerging strategies to optimize product composition and the tumor microenvironment, and the critical role of surgeons in TIL procurement and delivery are summarized.

Indexed as

Immunotherapy, AdoptiveLymphocytes, Tumor-InfiltratingNeoplasmsAnimalsHumansMelanomaTumor Microenvironmentadoptive cell therapyIL‐2TILs

Identifiers

PMID42482408
PMCPMC13389351

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.