Evidence map›Paper›PMID 36138116›Full record

ArticleNPJ precision oncology2022

Pan-cancer molecular tumor board experience with biomarker-driven precision immunotherapy.

Bryan H Louie, Shumei Kato, Ki Hwan Kim, Hyo Jeong Lim, Ryosuke Okamura, Ramez N Eskander, Gregory Botta, Hitendra Patel, Suzanna Lee, Scott M Lippman and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 14 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

12 authors at 6 institutions in 3 countries.

Bryan H Louie *Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA. b1louie@health.ucsd.edu.ORCID http://orcid.org/0000-0001-6922-5396
Shumei Kato *Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA. smkato@health.ucsd.edu.
Ki Hwan KimDivision of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Hyo Jeong LimDepartment of Internal Medicine, Veterans Health Service Medical Center, Seoul, Republic of Korea.
Ryosuke OkamuraDepartment of Surgery, Kyoto University Hospital, Kyoto, Japan.ORCID http://orcid.org/0000-0001-7352-8621
Ramez N EskanderCenter for Personalized Cancer Therapy and Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Gregory BottaCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Hitendra PatelCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Suzanna LeeCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-9502-4907
Scott M Lippman *Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA.
Jason K Sicklick *Division of Surgical Oncology, Department of Surgery, UC San Diego Health Sciences, San Diego, CA, USA.ORCID http://orcid.org/0000-0003-4403-0271
Razelle Kurzrock *WIN Consortium for Precision Medicine, Paris, France.ORCID http://orcid.org/0000-0003-4110-1214
University of California San Diego · USUC San Diego Health System · USKyoto University Hospital · JPSeoul National University · KRUniversity of Nebraska at Omaha · USVeterans Health Service Medical Center · KR

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) NIH P30 CA023100
6 · The paper itself

Abstract

Despite remarkable responses to immune checkpoint blockade (ICB) in some advanced cancers, most patients do not benefit, perhaps due to the complexity of tumor/immune/genome interactions. We implemented a multidisciplinary Molecular Tumor Board (MTB) that reviewed multi-omic cancer characteristics to develop N-of-One therapies for patients in the pan-cancer, advanced, refractory setting. This study evaluates the experience of 80 patients who were presented to the MTB and received a treatment regimen that included ICB. Overall, 60/80 patients (75%) who received ICB following MTB discussion had a high degree of matching between tumor molecular characteristics, including ICB biomarkers (reflected by a high Matching Score (≥50%)) and therapy administered. Patients with high versus low Matching Score experienced significantly longer median progression-free survival (6.4 vs. 3.0 months; p = 0.011) and median overall survival (15.3 vs. 4.7 months; p = 0.014) and higher clinical benefit rates (stable disease ≥6 months/partial response/complete response) (53% vs. 21%, p = 0.019). Although most patients (52/80 (65%)) received a personalized combination therapy (e.g., targeted, hormonal, chemotherapy, or a second immunotherapy agent), administering >1 drug was not associated with outcome. Only degree of matching and age, but no other variables, including individual biomarkers (e.g., microsatellite status, tumor mutational burden, or PD-L1 status), were independently correlated with outcome. In the pan-cancer setting, the MTB facilitated a precision medicine strategy to match therapeutic regimens that included ICB alone or combined with matched targeted drugs to patients with advanced malignancy, which was associated with improved clinical outcomes.

Identifiers

PMID36138116
PMCPMC9500013
OpenAlexW4296613080

What OpenQuestion holds

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LicenceCC BY
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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.