The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Randomized dose-finding clinical trial of oncolytic immunotherapeutic vaccinia JX-594 in liver cancer
Open accessAbstract
Oncolytic viruses and active immunotherapeutics have complementary mechanisms of action (MOA) that are both self amplifying in tumors, yet the impact of dose on subject outcome is unclear. JX-594 (Pexa-Vec) is an oncolytic and immunotherapeutic vaccinia virus. To determine the optimal JX-594 dose in subjects with advanced hepatocellular carcinoma (HCC), we conducted a randomized phase 2 dose-finding trial (n = 30). Radiologists infused low- or high-dose JX-594 into liver tumors (days 1, 15 and 29); infusions resulted in acute detectable intravascular JX-594 genomes. Objective intrahepatic Modified Response Evaluation Criteria in Solid Tumors (mRECIST) (15%) and Choi (62%) response rates and intrahepatic disease control (50%) were equivalent in injected and distant noninjected tumors at both doses. JX-594 replication and granulocyte-macrophage colony-stimulating factor (GM-CSF) expression preceded the induction of anticancer immunity. In contrast to tumor response rate and immune endpoints, subject survival duration was significantly related to dose (median survival of 14.1 months compared to 6.7 months on the high and low dose, respectively; hazard ratio 0.39; P = 0.020). JX-594 demonstrated oncolytic and immunotherapy MOA, tumor responses and dose-related survival in individuals with HCC.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Cheng, A.-L., Kang, Y.-K., Chen, Z., Tsao, C.-J., Qin, S., Kim, J. S., Luo, R., Feng, J., Ye, S., Yang, T.-S., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70285-7 · Cited by 5,832
Targeted and armed oncolytic poxviruses: a novel multi-mechanistic therapeutic class for cancer
Kirn, D. H., & Thorne, S. H. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2545 · Cited by 402
Self-citation
Cited by
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
Oncolytic viruses: a new class of immunotherapy drugs
Kaufman, H. L., Kohlhapp, F. J., & Zloza, A. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4663 · Cited by 1,642
Exploring treatment options in cancer: tumor treatment strategies
Liu, B., Zhou, H., Tan, L., Siu, K. T. H., & Guan, X.-Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01856-7 · Cited by 1,201
Oncolytic virus therapy: A new era of cancer treatment at dawn
Fukuhara, H., Ino, Y., & Todo, T. (2016) · Cancer Science · doi:10.1111/cas.13027 · Cited by 774
Zamarin, D., Holmgaard, R. B., Subudhi, S. K., Park, J. S., Mansour, M., Palese, P., Merghoub, T., Wolchok, J. D., & Allison, J. P. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008095 · Cited by 711
Metadata
- Authors
- Heo, J., Reid, T., Ruo, L., Breitbach, C. J., Rose, S., Bloomston, M., Cho, M., Lim, H. Y., Chung, H. C., Kim, C. W., Burke, J., Lencioni, R., Hickman, T., Moon, A., Lee, Y. S., Kim, M. K., Daneshmand, M., Dubois, K., Longpre, L., Ngo, M., Rooney, C., Bell, J. C., Rhee, B.-G., Patt, R., Hwang, T.-H., & Kirn, D. H.
- Venue
- Nature Medicine
- Published
- 2013-02-10
- Volume
- 19
- Issue
- 3
- Pages
- 329-336
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2093059993
- Cited by
- 779
- References
- 4
- FWCI
- 55.64
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
