Drug Database
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CTC-111 (Anact C)

✓ Approved

Meiji Holdings · PROC

What is CTC-111?

CTC-111 is a therapeutic agent developed by Meiji Holdings. It is approved for therapeutic indications via injectable (others) or intravenous (iv).

Drug Profile

Brand NamesAnact C
CompanyMeiji Holdings
Molecular TargetPROC
RouteInjectable (Others), Intravenous (IV)
StatusApproved
Sources: ClinicalTrials.gov, Meiji Holdings

Mechanism of Action

Molecular Targets

CTC-111 acts on 1 molecular target:

PROCprotein C, inactivator of coagulation factors Va and VIIIa (APC, PROC1)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

CTC-111 is developed for 2 unique indications across 2 therapeutic areas.

Therapeutic AreaConditionPhase
Vascular disordersThrombosis✓ Approved
Skin and subcutaneous tissue disordersPurpura fulminans✓ Approved

Related Research Articles

PubMedCancers2026-10-16

The Landscape of Tumor Dissemination in Leptomeningeal Disease: Mapping CTC Plasticity and Regional Heterogeneity Across Blood and CSF Compartments.

Shishido Stephanie N SN, Chaudhuri Baishali B, Mushran Vidur V, Ihle Kena K et al.

Background/Objectives: Leptomeningeal disease (LMD) is among the most severe complications of metastatic breast cancer, with median survival measured in weeks. Definitive diagnosis relies on neuroimaging and cerebrospinal fluid (CSF) cytology, which carries a false-negative rate of 40-50% at a single lumbar puncture. Improved tools for detecting and characterizing tumor cells across systemic and central nervous system (CNS) compartments are urgently needed. Methods: We applied an enrichment-free, fluorescence whole-slide imaging (fWSI)-based liquid biopsy platform to ante-mortem and post-mortem peripheral blood (PB) and CSF from five patients with metastatic breast cancer and confirmed or suspected LMD, collected through the City of Hope LEGACY warm autopsy program. Circulating tumor cells (CTCs) were classified by immunophenotype (cytokeratin [CK], vimentin [VIM], CD45/CD31) and morphology. Select cells underwent single-cell copy number variation (CNV) profiling by low-pass whole-genome sequencing. Results: Across 23 samples (11 PB, 12 CSF), we identified marked compartmental heterogeneity in CTC burden, phenotype, and genomic architecture. In the one patient (Patient 1) sampled across all four ventricular-to-cisternal CSF sites, CTC frequency declined from proximal to distal compartments (11.4% in the right lateral ventricle to 0.6% at the foramen magnum), a single-patient observation consistent with a proximal-to-distal gradient. Patients with active, untreated LMD showed high CSF CTC incidence with both epithelial and mesenchymal phenotypes, whereas the two patients receiving intrathecal therapy each showed low or absent CSF CTCs; given the small numbers involved and a plausible technical confound in a third patient, we interpret this association cautiously. Single-cell CNV profiling of CSF-derived CTCs across patients with active LMD revealed highly concordant chromosomal aberration profiles, 100% of CK+ CSF CTCs analyzed carried chromosomal aberrations, consistent with, though not formally establishing, expansion of a genomically evolved subclone within the leptomeningeal compartment; PB-derived cells showed substantially greater heterogeneity. In the two patients with paired post-mortem arterial and venous PB, arterial blood showed higher total rare cell counts in both, and higher CK-positive CTC incidence in one (1425.73 vs. undetectable epi.CTC/mL); the other showed the reverse for this specific metric. Conclusions: Enrichment-free, multi-compartment liquid biopsy reveals a regionally heterogeneous and biologically structured landscape in breast cancer LMD not resolvable by conventional cytology or single-site venous sampling. These findings are consistent with a hypothesis-generating model in which the leptomeningeal space acts as a selective niche for clonally convergent tumor expansion. They also point to the potential of regionally resolved CTC profiling for monitoring LMD treatment response in future, larger cohorts.

PMID 42882819
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PubMedMaterials (Basel, Switzerland)2026-10-16

Dislocation-Loop-Induced Secondary Recrystallization in Fe-3 wt.% Si: Y-Stabilized 〈100〉 Loops as Inhibitor Alternatives.

Wang Shun S, Dou Weixue W, Xie Li L, Wang Hongguo H et al.

Conventional grain-oriented silicon steel (GO) relies on AlN/MnS-type inhibitors and long purification anneals, which increase alloy design complexity, energy consumption and cost. This study establishes a dislocation-loop-induced secondary recrystallization route in Fe-3 wt.% Si grain-oriented silicon steel produced by twin-roll strip casting with rare-earth Y microalloying. Steels containing 0, 0.05 and 0.1 wt.% Y were cold-rolled to 0.30 mm and subjected to primary and secondary recrystallization annealing. Electron backscatter diffraction (EBSD) reveals that 0.05 wt.% Y promotes {100}-oriented columnar solidification grains and strengthens the surface {111}⟨110⟩/{111}⟨112⟩ γ-fiber after rolling, increasing shear-band density and Goss nucleation sites while refining the primary-recrystallized matrix. Transmission electron microscopy shows abundant, thermally stable ⟨100⟩ dislocation loops (~50-100 nm) in Y-containing steels, rather than the commonly reported 1/2⟨111⟩ loops. These ⟨100⟩ loops act as effective grain-boundary pinning centers, suppressing normal grain growth and triggering abnormal Goss growth during high-temperature annealing. The 0.05 wt.% Y steel attains a secondary-recrystallization fraction of ~70%, with B8 = 1.71 T and P1.7/50 = 2.81 W·kg-1, whereas the Y-free alloy exhibits only normal grain growth and a weak Goss texture; excessive Y (0.1 wt.%) over-suppresses boundary mobility. The strong Y-vacancy affinity rationalizes the formation, thermal stability and potential recyclability of ⟨100⟩ loops, providing an inhibitor-free, energy-efficient pathway for manufacturing high-performance grain-oriented silicon steel.

PMID 42882654
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PubMedNature communications2026-10-16

Hydride-induced palladium self-diffusion and surface restructuring on Pd(111).

Lipin Raju R, Umer Muhammad M, Ngoipala Apinya A, Javan Nikkhah Sousa S et al.

Reaction conditions significantly affect the electrocatalyst surface but are often overlooked when evaluating catalytic performance. Pd forms hydride phases during proton reduction under cathodic potentials, which can lead to surface reconstructions and defect formation. However, the influence of hydride formation on Pd atom migration remains underexplored. Here, we show, using density functional theory and molecular dynamics simulations, the thermodynamic and hydride conditions associated with surface reconstruction in PdHx/Pd(111) systems during the initial stages of hydride formation. Surface Pourbaix diagrams show the predicted stability of PdHx/Pd phases under reaction conditions, while calculated Pd migration barriers decrease with hydride sublayers and become negligible at high hydrogen concentrations. Atomistic simulations further show that at least three subsurface hydride layers are necessary for observable reconstruction, dislocation and defect formation, during which Pd atoms predominantly migrate outward through strain relaxation while hydrogen atoms locally adjust to the reconstructed lattice. Overall, our results suggest an interplay between hydride formation and atom mobility, highlighting the potential importance of dynamic surface transformations when designing and evaluating Pd-based electroreduction catalysts.

PMID 42881164
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PubMedSensors (Basel, Switzerland)2026-10-16

Container-Number Detection and Recognition in Land-Port Yard Scenes Based on an Improved YOLO11 Detector and a Lightweight CRNN Recognizer.

Wu Yuan Y, Zhao Yongman Y, Li Yating Y, Wang Huibing H et al.

Automatic container-number recognition in land-port yards is challenged by clutter, illumination changes, scale variation, surface wear, and character distortion. This paper proposes a two-stage detection-cropping-recognition framework comprising an improved YOLO11 detector and a lightweight convolutional recurrent neural network (CRNN). The detector integrates C3k2 with channel-split multiscale aggregation (C3k2-CSMA), a hierarchical efficient feature fusion pyramid network (HEFFPN), selective boundary aggregation (SBA), and a shared enhanced detection head (SED-Head) with detail-enhanced convolution (DEConv) to improve small-target representation, feature fusion, and boundary localization. The recognizer combines MobileNetV3 with bidirectional long short-term memory (Bi-LSTM) and is trained using connectionist temporal classification (CTC) loss and L2 regularization. The detector achieved 97.3% mean average precision at an intersection-over-union threshold of 0.5 (mAP@0.5), 97.1% recall, 55 frames per second (FPS), and a model size of 12.2 MB. The recognizer achieved 97.6% exact-match accuracy, a model size of 6.2 MB, and an inference time of 8.9 ms/crop. The complete system achieved 96.8% end-to-end exact-match accuracy, a total model size of 18.4 MB, and a total inference time of 27.1 ms/image, demonstrating a practical accuracy-efficiency balance for the evaluated complex land-port scenes.

PMID 42884214
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PubMedNature communications2026-10-16

First principles reactive flux theory for surface reactions revealing multiple channels and recrossing dynamics.

Li Chen C, Zeng Xiongzhi X, Li Yongle Y, Li Zhenyu Z et al.

Heterogeneous reactions typically consist of multiple elementary steps whose rate coefficients are of fundamental importance in elucidating the reaction mechanisms and establising micro-kinetic models. Transition state theory (TST) for calculating surface reaction rate coefficients often relies solely on the harmonic approximation of adsorbent vibrations and neglects recrossing dynamics. Here, we combine metadynamics with a more general reactive flux approach to calculate rate coefficients of surface reactions, overcoming these limitations of TST. We apply this approach to a textbook surface reaction, CO oxidation on Pt(111), for which rate constants have been measured, using a full-dimensional neural network potential energy surface constructed from first-principles data. A multi-dimensional free-energy surface is obtained by incorporating three collective variables, yielding rate coefficients for both CO oxidation and the competing CO desorption that agree with experimental data. Our results reveal dynamic recrossing in both reactions, which however arises from distinct physical mechanisms. This approach represents a general framework for calculating rate coefficients of elementary surface processes from first-principles, which is vital for developing predictive kinetic models for heterogenous catalysis.

PMID 42881183
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PubMedJournal of clinical medicine2026-10-16

Regression of Anabolic-Androgenic Steroid-Associated Cardiomyopathy Eight Years After Cessation of Anabolic-Androgenic Steroid Abuse: A Case Report and Literature Review.

Baranov Pavel S PS, Amosova Maria V MV, Vukolova Marina N MN, Pirozhkov Sergey V SV et al.

The non-medical use of anabolic-androgenic steroids (AAS) is widespread among strength-training athletes and, increasingly, among men who have no medical indication for testosterone therapy. The cardiotoxic profile of these drugs includes concentric myocardial hypertrophy, systolic and diastolic dysfunction, myocardial fibrosis and an elevated risk of sudden cardiac death. Whether AAS-associated cardiomyopathy is reversible once AAS are withdrawn remains unsettled: published outcomes range from near-complete recovery to irreversible severe biventricular dysfunction. Here we report the case of a man first assessed at the age of 26, after 33 cumulative months of supraphysiological AAS abuse, and reassessed eight years later. Marked regression of concentric left ventricular hypertrophy, with an accompanying reduction in right ventricular free wall thickness, was documented: left ventricular (LV) mass index fell from 261 to 111 g/m2 (57%), interventricular septal and posterior wall thickness decreased by 47% and 49%, and relative wall thickness fell from 0.86 to 0.43. The transmitral E/A ratio rose from 1.18 to 1.45. No cardiovascular pharmacotherapy was given at any stage of follow-up, which distinguishes this observation from previously published cases in which heart-failure-directed treatment was given concurrently.

PMID 42881983
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