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Record W4391873507 · doi:10.1093/jcag/gwad061.306

A306 A CASE OF SCLEROSING CHOLANGITIS AS A COMPLICATION OF CAR-T THERAPY

2024· article· en· W4391873507 on OpenAlexaff
Bixiao Zhao, H Kim, Alex L. Huang, Avni Jain, Daljeet Chahal, Eric M. Yoshida

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComplicationMedicineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Abstract Background Chimeric antigen receptor T-cell (CAR-T) therapy is a novel immunotherapy for treating hematological malignancies. CAR-T therapy starts with the collection of T-cells from patients. Then, receptors on the T-cell membrane are re-engineered to become chimeric antigen receptors that specifically target antigens on the surface of malignant cells. These engineered cells are grown ex vivo and infused back into the patient, leading to a targeted immune response against cancer. While CAR-T therapy has shown promising results in treating malignancies refractory to conventional treatment, there have also been reports of complications from unwanted off-target effects with CAR-T therapy. Aims We report a case of sclerosing cholangitis secondary to CAR-T therapy for the treatment of mantle cell lymphoma. Methods Case report. Results A 67-year-old male with refractory stage IVB mantle cell lymphoma underwent CAR-T therapy. His lymphoma was first diagnosed in 2011 and previous treatment included R-CHOP followed by autologous stem cell transplant. He had disease progression despite rituximab maintenance therapy and was switched to ibrutinib therapy with good response until 2023. In 2023, he was noted to have progression of his lymphoma. He subsequently underwent CAR-T therapy. His treatment was complicated by grade 2 cytokine release syndrome requiring two doses of tocilizumab. Other complications included immune effector cell-associated neurotoxicity syndrome leading to status epilepticus. He was intubated and required monitoring in the ICU however he was not in shock, nor did he require vasopressors. Post-CAR-T therapy he developed an increase of his liver enzymes in a cholestatic pattern. Magnetic resonance cholangiopancreatography (MRCP) showed irregular biliary dilation with beading suggestive of sclerosing cholangiopathy. He subsequently underwent multiple endoscopic retrograde cholangiopancreatography (ERCP) with stent insertions but there were no improvements in his liver enzymes and jaundice. A liver biopsy was performed which showed large bile duct obstruction with extensive cholestasis and some evidence of non-caseating granulomatous inflammation. Given the timing of new sclerosing cholangiopathy post-CAR-T therapy along with multiple other complications related to CAR-T therapy, it was thought this patient developed sclerosing cholangitis secondary to CAR-T therapy. Due to worsening clinical status along with progression of mantle cell lymphoma, he was transitioned to comfort care. Conclusions CAR-T therapy is a novel immunotherapy for the treatment of refractory hematological malignancies. However, complications from the off-target effects of CAR-T therapy can occur. This case highlighted a rare side effect associated with CAR-T therapy. In the future, more research will be needed to further characterize the risks associated with CAR-T therapy. Cholangiogram showing no visible filling defects or obstructive lesion. Funding Agencies None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.266
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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