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Record W4417006583 · doi:10.1182/blood-2025-5703

Zip-code drug conjugates (ZDCs): Ctdna-guided therapy shows strong efficacy and low toxicity in vitro and In Vivo

2025· article· en· W4417006583 on OpenAlexaff
Munevver Cinar, Andrey V. Pisarev, Pavan Kumar P, Lourdes Maritnez-Medina, Noémie Leblay, Paola Neri, Leon Bernal‐Mizrachi

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsInstitute of Cancer ResearchUniversity of Calgary
Fundersnot available
KeywordsIn vivoIn vitroDrugIn vitro toxicologyConjugateCytokine

Abstract

fetched live from OpenAlex

Abstract Multiple myeloma (MM) is a malignancy marked by the clonal expansion of plasma cells. Despite therapeutic advances, MM remains incurable, especially in high-risk patients with p53 deletions or mutations, 1q gain, or IGH, MMSET, FGFR3, MAFB, or MAF translocations. To address this, we developed a novel therapeutic platform called Zip-Code Drug Conjugates (ZDCs). This approach was based on our discovery that certain transposons within circulating tumor DNA (ctDNA) enable targeting of other plasma cells (REF). Using the features of these transposable elements, we screened several synthetically engineered elements—Zip-Codes (ZCs)—for specificity and efficiency in targeting plasma cells. High-throughput screening of MM cell lines and patient samples identified two key candidates matching ctDNA specificity. We selected AluSx (ZC2) as our lead ZC due to its easy production. ZC2 showed no effect on inflammatory cytokine expression and did not activate the cGAS-STING pathway or caspases, though it did activate DNA repair enzymes. We then conjugated ZC2 with various agents to assess selective cytotoxicity. Our lead compound, KTS002, consists of DM4 (a tubulin inhibitor) linked to ZcDNA via SPDB. Native PAGE confirmed its successful conjugation. Quality testing showed that KTS002 was endotoxin-free, sterile, low in beta-glucan, and consistent in concentration, hydrodynamic size, and zeta potential. Because premature plasma release contributes to ADC toxicity, we evaluated ZDC stability. HPLC-LC Orbitrap analysis showed that KTS002 remained stable in mouse and human plasma, with half-lives of 24 hours (0.5 μg/mL) to 58 hours (1 μg/mL). In contrast, glutathione and TCEP release controls had half-lives of 48 days and 27 hours, respectively. In blood and plasma assays, KTS002 did not cause hemolysis, platelet aggregation, complement activation, or coagulation disruption. In vitro, KTS002 exhibited similar IC50 values to DM4 in various MM cell lines, with only modest cytotoxicity in non-myeloma lines (A549, DU145, MIA, BT549, HCT116). Viability and LDH release assays using LLC-PK1 and Hep G2 cells showed minimal off-target effects, suggesting low renal and hepatic toxicity. Compared to Belantamab (an anti-BCMA MM ADC), KTS002 was 1000-fold more cytotoxic in cells with p53 deletions or mutations. It also overcame resistance due to BCMA mutations (e.g., R27P), which can impair activity of anti-BCMA bispecific or CAR T cell therapies. In vivo titration showed good tolerance up to 40 mg/kg. In MM1S xenograft models, KTS002 demonstrated dose-dependent tumor suppression, with high-dose treatment outperforming bortezomib. No significant changes in blood counts or liver enzyme levels were observed. A three-day regimen of 30 mg/kg led to 90% tumor growth suppression and doubled progression-free survival. KTS002 is a promising new therapy for MM, especially in high-risk patients, offering strong efficacy with minimal toxicity. Ongoing studies are focused on dose optimization, pharmacokinetics, and safety to support IND-enabling and clinical development.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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