Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 773

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Immune recognition of somatic mutations leading to complete durable regression in metastatic breast cancer

Open access
Zacharakis, Nikolaos, Chinnasamy, Harshini, Black, Mary, Xu, Hui, Lu, Yong-Chen, Zheng, Zhili, Pasetto, Anna, Langhan, Michelle, Shelton, Thomas, Prickett, Todd, Gartner, Jared, Jia, Li, Trebska-McGowan, Katarzyna, Somerville, Robert P., Robbins, Paul F., Rosenberg, Steven A., Goff, Stephanie L., Feldman, Steven A.·2018·Nature Medicine

Abstract

Immunotherapy using either checkpoint blockade or the adoptive transfer of antitumor lymphocytes has shown effectiveness in treating cancers with high levels of somatic mutations—such as melanoma, smoking-induced lung cancers and bladder cancer—with little effect in other common epithelial cancers that have lower mutation rates, such as those arising in the gastrointestinal tract, breast and ovary1–7. Adoptive transfer of autologous lymphocytes that specifically target proteins encoded by somatically mutated genes has mediated substantial objective clinical regressions in patients with metastatic bile duct, colon and cervical cancers8–11. We present a patient with chemorefractory hormone receptor (HR)-positive metastatic breast cancer who was treated with tumor-infiltrating lymphocytes (TILs) reactive against mutant versions of four proteins—SLC3A2, KIAA0368, CADPS2 and CTSB. Adoptive transfer of these mutant-protein-specific TILs in conjunction with interleukin (IL)-2 and checkpoint blockade mediated the complete durable regression of metastatic breast cancer, which is now ongoing for >22 months, and it represents a new immunotherapy approach for the treatment of these patients. Adoptive T cell therapy induced complete and durable remission in a patient with refractory metastatic breast cancer, providing proof of principle for this approach in breast cancer therapy.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41591-018-0040-8

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 24 references

Cited by

See all 773

Metadata

Authors
Zacharakis, N., Chinnasamy, H., Black, M., Xu, H., Lu, Y.-C., Zheng, Z., Pasetto, A., Langhan, M., Shelton, T., Prickett, T., Gartner, J., Jia, L., Trebska-McGowan, K., Somerville, R. P., Robbins, P. F., Rosenberg, S. A., Goff, S. L., & Feldman, S. A.
Venue
Nature Medicine
Published
2018-06
Volume
24
Issue
6
Pages
724-730
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W2806895459
Cited by
773
References
24
FWCI
34.29
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Immune recognition of somatic mutations leading to complete durable regression in metastatic breast cancer. https://app.cochat.ai/papers/10.1038/s41591-018-0040-8
The paper
Zacharakis, N., Chinnasamy, H., Black, M., Xu, H., Lu, Y.-C., Zheng, Z., Pasetto, A., Langhan, M., Shelton, T., Prickett, T., Gartner, J., Jia, L., Trebska-McGowan, K., Somerville, R. P., Robbins, P. F., Rosenberg, S. A., Goff, S. L., & Feldman, S. A. (2018). Immune recognition of somatic mutations leading to complete durable regression in metastatic breast cancer. Nature Medicine. https://doi.org/10.1038/s41591-018-0040-8

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.