AI Drug Discovery for Pharma and Biotech

Drug discovery

9

drugs

With orphan designations

Overview

Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy of the adrenal cortex with an incidence of 0.5–2 cases per million annually [2][7][16]. It primarily affects children and middle-aged adults (median age 55), showing female predominance (1.5–2.5:1 ratio) [4][9][16]. Hormonally active tumors may cause hypercortisolism or virilization. Prognosis remains poor due to high metastatic potential and recurrence rates, with 5-year survival <35% for advanced stages [2][9][14]. Treatment requires multidisciplinary care at specialized centers.

Population

Incidence 0.5–2/million/year, affecting females > males (1.5–2.5:1) [4][16]. Bimodal age distribution: pediatric cases (linked to TP53 mutations) and adults aged 40-60 years [7][9]. Up to 30% associate with hereditary syndromes (Li-Fraumeni, MEN1) [1][7][16].

Burden

Median survival 17 months (stage IV: <12 months) [2][9]. ≥70% recur within 5 years post-resection [14]. Hormonal complications (e.g., Cushing syndrome) and treatment toxicities exacerbate morbidity [16][19]. Limited therapeutic advances due to rarity hinder prognosis improvement [9][14].

Therapies

Complete surgical resection (R0) for localized disease [3][8]. Adjuvant mitotane ± chemotherapy reduces recurrence risk [5][8][12]. Metastatic cases use EDP-mitotane regimens (etoposide/doxorubicin/cisplatin) [3][14]. Emerging options include immunotherapy and targeted therapies [14][18].

Categories: rare endocrine diseases, rare neoplastic diseases

Research Papers

1,667 drug discovery papers related to Adrenocortical carcinoma, with 5 first-in-class and 3 next-in-class early-stage therapies forecasted to outperform the average preclinical success rate. Recent publications:

1,667 drug discovery papers related to Adrenocortical carcinoma, with 5 first-in-class and 3 next-in-class early-stage therapies forecasted to outperform the average preclinical success rate. Recent publications:

2026-07-11 | Adrenal tumor microenvironment: hormone-immune crosstalk, molecular heterogeneity, and immunotherapeutic opportunities.

Adrenal tumors comprise a heterogeneous spectrum ranging from functional adenomas to aggressive adrenocortical carcinoma (ACC) and pheochromocytoma/paraganglioma (PHEO/PPGL) with metastatic potential. Although traditionally interpreted through hormone excess and oncogenic alterations, current evidence indicates that these tumors are endocrine-shaped immune ecosystems in which hormone secretion, molecular subtype, stromal architecture, metabolic stress, and immune infiltration interact to determine tumor behavior and therapeutic vulnerability. Across subtypes, distinct immune-stromal states emerge: aldosterone-producing adenoma (APA) contains M2-polarized macrophages, specialized endothelial subsets, and metabolic heterogeneity; cortisol-producing adenoma (CPA) is characterized by local glucocorticoid-driven immunosuppression and altered macrophage and T-cell states; ACC is relatively immune-depleted and shaped by glucocorticoid signaling, hypoxia, senescence, and myeloid suppression; and PHEO/PPGL exhibits subtype-dependent angiogenic and immune features linked to catecholamine biology and pseudohypoxia. The strongest human evidence supports cortisol-associated immune remodeling in CPA, macrophage-rich niches in APA, and immune ecotypes in ACC, whereas CAF-mediated immune exclusion, ion-channel-driven immune regulation, and several metabolite-based mechanisms remain largely extrapolative. Clinically, immune checkpoint blockade has shown modest and heterogeneous activity, especially in ACC, where PD-L1 and tumor mutational burden have not consistently predicted response, while selected PPGL subsets may be biologically more permissive. These findings support a model in which adrenal tumors should be classified not only by histology and hormone excess, but also by endocrine-immune microenvironmental states, with implications for biomarker development and rational combination therapies.

Open article ↗



2026-07-02 | ENPP3 CAR T cells combined with CD206 modulation suppress adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy with poor prognosis and limited curative treatment options. While chimeric antigen receptor (CAR) T cells have shown some promise in solid tumors, ACC remains largely unexplored in this context. Here, we used patient-derived xenograft (PDX) models of ACC to identify immunotherapeutic targets and develop novel CAR T-cell strategies. Target identification and tumor microenvironment (TME) profiling were conducted using publicly available bulk and single-cell RNA sequencing data from patients with ACC samples. Surface proteomic analysis and flow cytometry of PDXs were conducted to validate antigen candidates. CAR T cells were engineered and tested for cytotoxicity in vitro and in vivo and profiled using flow cytometry and cytokine analysis. We identified ectonucleotide pyrophosphatase/phosphodiesterase family member 3 (ENPP3) as a shared immunotherapy target in 4/7 (57%) ACC PDXs. ENPP3-targeted CAR T-cells eradicated >85% of ENPP3+ ACC cells in vitro but showed attenuated efficacy in PDX mouse models. Restrained ENPP3 CAR T-cell activity correlated with immunosuppressive features of the TME, particularly the presence of CD206+ tumor-associated macrophages (TAMs). Co-treatment with an agent modulating CD206+ TAMs restored CAR T-cell function and improved antitumor responses in ENPP3high and ENPP3low PDX models (difference between mean tumor weights -270.1 mg±117.4; p<0.05). ENPP3 is a novel target for CAR T-cell therapy in ACC. ENPP3 CAR T cells, when combined with CD206 modulation to overcome immune suppression within the TME, have therapeutic efficacy in ACC by mediating robust tumor growth suppression. This combinatorial strategy, which includes CAR T cells alongside therapies that recalibrate immunosuppressive CD206+ TAMs, may be a novel approach for improved immunotherapy of solid cancers beyond ACC.

Open article ↗



2026-06-30 | Gemcitabine and oxaliplatin combination in patients with advanced adrenocortical carcinoma

Abstract Context Adrenocortical cancer (ACC) is a rare, aggressive malignancy with limited treatment options beyond first-line therapy, underscoring the need for effective salvage regimens. Objective To evaluate the clinical activity and safety of gemcitabine and oxaliplatin (GemOx) in advanced ACC. Design Retrospective cohort study conducted from April 2023 to April 2024 with longitudinal follow-up. Setting Single-center tertiary referral cancer center. Patients or Other Participants Fourteen patients with histologically confirmed advanced ACC treated with GemOx were included. Patients were heavily pretreated, with a median of 3 prior systemic therapies (range, 2–9); 43% had hormonally functional tumors. Intervention(s) Gemcitabine (1000 mg/m2 on days 1 and 8) and oxaliplatin (130 mg/m2 on day 1) every 3 weeks until disease progression or unacceptable toxicity. Main Outcome Measure(s) Primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary outcomes included objective response rate per Response Evaluation Criteria In Solid Tumors 1.1 and treatment-related toxic effects. Results After a median follow-up of 10.7 months (95% CI, 8.5-15.7), median PFS was 3.2 months (95% CI, 0.4-6.0) and OS was 13.0 months (95% CI, 3.6-22.5). Among 13 evaluable patients, 2 (15.4%) achieved partial response, 8 (61.5%) had stable disease, and 3 (23.1%) had progressive disease, yielding a disease control rate of 76.9%. No treatment-related deaths occurred. Conclusions GemOx demonstrated modest clinical activity with manageable safety in heavily pretreated patients with advanced ACC. These findings suggest a potential role for GemOx as a salvage option, though validation in larger prospective studies is needed.

Open article ↗



2026-07-11 | Adrenal tumor microenvironment: hormone-immune crosstalk, molecular heterogeneity, and immunotherapeutic opportunities.

Adrenal tumors comprise a heterogeneous spectrum ranging from functional adenomas to aggressive adrenocortical carcinoma (ACC) and pheochromocytoma/paraganglioma (PHEO/PPGL) with metastatic potential. Although traditionally interpreted through hormone excess and oncogenic alterations, current evidence indicates that these tumors are endocrine-shaped immune ecosystems in which hormone secretion, molecular subtype, stromal architecture, metabolic stress, and immune infiltration interact to determine tumor behavior and therapeutic vulnerability. Across subtypes, distinct immune-stromal states emerge: aldosterone-producing adenoma (APA) contains M2-polarized macrophages, specialized endothelial subsets, and metabolic heterogeneity; cortisol-producing adenoma (CPA) is characterized by local glucocorticoid-driven immunosuppression and altered macrophage and T-cell states; ACC is relatively immune-depleted and shaped by glucocorticoid signaling, hypoxia, senescence, and myeloid suppression; and PHEO/PPGL exhibits subtype-dependent angiogenic and immune features linked to catecholamine biology and pseudohypoxia. The strongest human evidence supports cortisol-associated immune remodeling in CPA, macrophage-rich niches in APA, and immune ecotypes in ACC, whereas CAF-mediated immune exclusion, ion-channel-driven immune regulation, and several metabolite-based mechanisms remain largely extrapolative. Clinically, immune checkpoint blockade has shown modest and heterogeneous activity, especially in ACC, where PD-L1 and tumor mutational burden have not consistently predicted response, while selected PPGL subsets may be biologically more permissive. These findings support a model in which adrenal tumors should be classified not only by histology and hormone excess, but also by endocrine-immune microenvironmental states, with implications for biomarker development and rational combination therapies.

Open article ↗



2026-07-02 | ENPP3 CAR T cells combined with CD206 modulation suppress adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy with poor prognosis and limited curative treatment options. While chimeric antigen receptor (CAR) T cells have shown some promise in solid tumors, ACC remains largely unexplored in this context. Here, we used patient-derived xenograft (PDX) models of ACC to identify immunotherapeutic targets and develop novel CAR T-cell strategies. Target identification and tumor microenvironment (TME) profiling were conducted using publicly available bulk and single-cell RNA sequencing data from patients with ACC samples. Surface proteomic analysis and flow cytometry of PDXs were conducted to validate antigen candidates. CAR T cells were engineered and tested for cytotoxicity in vitro and in vivo and profiled using flow cytometry and cytokine analysis. We identified ectonucleotide pyrophosphatase/phosphodiesterase family member 3 (ENPP3) as a shared immunotherapy target in 4/7 (57%) ACC PDXs. ENPP3-targeted CAR T-cells eradicated >85% of ENPP3+ ACC cells in vitro but showed attenuated efficacy in PDX mouse models. Restrained ENPP3 CAR T-cell activity correlated with immunosuppressive features of the TME, particularly the presence of CD206+ tumor-associated macrophages (TAMs). Co-treatment with an agent modulating CD206+ TAMs restored CAR T-cell function and improved antitumor responses in ENPP3high and ENPP3low PDX models (difference between mean tumor weights -270.1 mg±117.4; p<0.05). ENPP3 is a novel target for CAR T-cell therapy in ACC. ENPP3 CAR T cells, when combined with CD206 modulation to overcome immune suppression within the TME, have therapeutic efficacy in ACC by mediating robust tumor growth suppression. This combinatorial strategy, which includes CAR T cells alongside therapies that recalibrate immunosuppressive CD206+ TAMs, may be a novel approach for improved immunotherapy of solid cancers beyond ACC.

Open article ↗



2026-06-30 | Gemcitabine and oxaliplatin combination in patients with advanced adrenocortical carcinoma

Abstract Context Adrenocortical cancer (ACC) is a rare, aggressive malignancy with limited treatment options beyond first-line therapy, underscoring the need for effective salvage regimens. Objective To evaluate the clinical activity and safety of gemcitabine and oxaliplatin (GemOx) in advanced ACC. Design Retrospective cohort study conducted from April 2023 to April 2024 with longitudinal follow-up. Setting Single-center tertiary referral cancer center. Patients or Other Participants Fourteen patients with histologically confirmed advanced ACC treated with GemOx were included. Patients were heavily pretreated, with a median of 3 prior systemic therapies (range, 2–9); 43% had hormonally functional tumors. Intervention(s) Gemcitabine (1000 mg/m2 on days 1 and 8) and oxaliplatin (130 mg/m2 on day 1) every 3 weeks until disease progression or unacceptable toxicity. Main Outcome Measure(s) Primary outcomes were progression-free survival (PFS) and overall survival (OS). Secondary outcomes included objective response rate per Response Evaluation Criteria In Solid Tumors 1.1 and treatment-related toxic effects. Results After a median follow-up of 10.7 months (95% CI, 8.5-15.7), median PFS was 3.2 months (95% CI, 0.4-6.0) and OS was 13.0 months (95% CI, 3.6-22.5). Among 13 evaluable patients, 2 (15.4%) achieved partial response, 8 (61.5%) had stable disease, and 3 (23.1%) had progressive disease, yielding a disease control rate of 76.9%. No treatment-related deaths occurred. Conclusions GemOx demonstrated modest clinical activity with manageable safety in heavily pretreated patients with advanced ACC. These findings suggest a potential role for GemOx as a salvage option, though validation in larger prospective studies is needed.

Open article ↗



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Drug Discovery Landscape

9 orphan drug designations for Adrenocortical carcinoma.

9 orphan drug designations for Adrenocortical carcinoma.

Drug

Therapy type

Regulator

Orphan designation

Approval

Sponsor

Acetyl-D-tyrosylglycyl-D-arginyl-D-lysyl-D-lysyl-D-arginyl-D-arginyl-D-glutaminyl-D-arginyl-D arginyl-D-arginylglycyl-D-lysyl-D-threonyl-D-leucyl-D-arginyl-D-valyl-D-alanyl-D-lysyl-D-alanyl-D-isoleucyl-D-tyrosyl-D-lysyl-D-arginyl-D-tyrosyl-D-isoleucyl-D-isoglutamine, acetate salt

peptides

FDA

2024-07-01

Cytovation AS

N-[2,6-bis(1-methylethyl)phenyl]-N’-[[1-[4-(dimethylamino) phenyl]cyclopentyl]methyl]urea, hydrochloride salt

small molecules

EMA

2013-06-07

Millendo Therapeutics SAS

Linsitinib

small molecules

EMA

2012-04-02

Astellas Pharma Europe B.V.

linsitinib

small molecules

FDA

2012-03-09

Astellas Pharma Global Development, Inc.

nevanimibe HCL

small molecules

FDA

2012-03-09

Millendo Therapeutics, Inc.

Mitotane [Mitotane AP-HP 500 mg, capsules]

small molecules

EMA

2002-09-11

AGEPS

Mitotane [Lysodren]

small molecules

EMA

2002-06-12

[INACTIVE] Laboratoire Hra Pharma

Gossypol

small molecules

FDA

1990-10-22

Reidenberg, Marcus M. M.D.

Iodine 131 6B-iodomethyl-19-norcholesterol

small molecules

FDA

1984-08-01

David E. Kuhl, M.D.

228 Park Ave S,
New York, USA.

At Explority, we build first-of-its-kind AI to bring clarity to the earliest and riskiest stages of pharmaceutical research by forecasting which therapies are most likely to succeed. Explority AI web and mobile applications are properties of the Explority AI Inc., a company registered in the United States (File No. 10320493).
For all questions: support@explority.ai

Copyright © 2026 Explority AI Inc.

228 Park Ave S,
New York, USA.

At Explority, we build first-of-its-kind AI to bring clarity to the earliest and riskiest stages of pharmaceutical research by forecasting which therapies are most likely to succeed. Explority AI web and mobile applications are properties of the Explority AI Inc., a company registered in the United States (File No. 10320493).
For all questions: support@explority.ai

Copyright © 2026 Explority AI Inc.

228 Park Ave S,
New York, USA.

At Explority, we build first-of-its-kind AI to bring clarity to the earliest and riskiest stages of pharmaceutical research by forecasting which therapies are most likely to succeed. Explority AI web and mobile applications are properties of the Explority AI Inc., a company registered in the United States (File No. 10320493).
For all questions: support@explority.ai

Copyright © 2026 Explority AI Inc.