Not all biomarkers are equal, and some arguably should not be classified as biomarkers at all. Despite an explosion in putative biomarker discoveries from high-throughput proteomic technologies, very few advance beyond initial excitement to become validated, clinically actionable tools. Most stall in a biomarker 'valley of death', where promising signals fail to meet robust technical, scientific, and regulatory standards for clinical use. We propose a framework to distinguish between unvalidated protein findings and validated biomarkers with specific utility. We highlight the need to separate exploratory protein measurements from biomarkers that meet predefined analytical criteria and progress through validation, including qualification as a reasonably likely surrogate endpoint (RLSE) or a validated surrogate endpoint (VSE). This review article delineates differences between biomarker discovery, development, regulatory qualification, and commercialisation pathways, emphasising nomenclature according to the BEST (Biomarkers, EndpointS, and other Tools) Resource, analytical validation in accordance with CLSI guidelines, clinical relevance, and alignment with regulatory frameworks, including the FDA's Premarket Approval (PMA) and Biomarker Qualification Program (BQP), and the EU's In Vitro Diagnostic Regulation (IVDR) and Drug Development Tool (DDT) programmes. We introduce the concept of the 'unicorn biomarker' - an extremely rare class of biomarker with validated multipurpose utility (diagnostic, prognostic, and pharmacodynamic/monitoring) - to highlight the value of such biomarkers in clinical decision-making. We propose that minimum technical and biological standards must be met before a molecular measurement can be designated a "biomarker", as an association between a biological signal and disease state alone is insufficient. By raising the bar with unicorn biomarkers, this framework aims to guide researchers, regulators, and industry stakeholders in identifying actionable biomarkers and advancing precision medicine.

Patient experience maps are valuable tools for raising awareness of the patient journey, identifying resource gaps, enhancing access to essential services, and ultimately improving patient outcomes. Here, we describe the development of a metabolic dysfunction-associated steatohepatitis (MASH) patient journey map and its refinement through collaboration with a group comprising eight patient advocates and one person living with MASH, collectively known as the MASH Patient Organizations Who Enable Results (POWER) Council. The patient journey map aimed to identify challenges and unmet needs for people with MASH and to understand the specific experiences of various patient subpopulations. We identified gaps in symptom management, patient-healthcare professional communication, timely diagnoses, access to care, coordination between specialists, and understanding of the impact of MASH on patients' and caregivers' daily lives. These gaps were further compounded in those with severe MASH, particularly Hispanic/Latino populations. These findings highlight the challenges and unmet needs faced by people living with MASH and their caregivers.

Summary of accelerometry-based monitoring of sedentary activity time (A), light activity time (B), moderate activity time (C), average activity level during the maximum 6 minutes of daily activity (D), total sleep time (E), and gait speed (F) at baseline, week 6 and week 12

AbstractPurpose: Cachexia is common in patients with advanced cancer and is associated with elevated serum growth differentiation factor 15 (GDF-15) concentrations. This first-in-patient (phase Ib), 24-week study assessed use of ponsegromab, a mAb against GDF-15, in adults with advanced cancer, cachexia, and elevated GDF-15 serum concentration. Patients and Methods: Participants (n = 10) received open-label ponsegromab subcutaneous 200 mg every 3 weeks for 12 weeks in addition to standard-of-care anticancer treatment. Ponsegromab safety, tolerability, and pharmacokinetics were assessed in addition to serum GDF-15 concentrations and exploratory measures of efficacy. Results: No treatment-related treatment-emergent adverse events, injection site reactions, or adverse trends in clinical laboratory tests, vital signs, or electrocardiogram parameters attributable to ponsegromab were identified. Median serum unbound GDF-15 concentration at baseline was 2.269 ng/mL. Following initiation of study treatment, median unbound GDF-15 concentrations were below the lower limit of quantification (0.0424 ng/mL) from day 1 (3 hours postdose) through week 15. Increases in body weight were observed at all time points during the treatment and follow-up periods. A least-squares mean (SE) increase of 4.63 (1.98) kg was observed at week 12, an increase of approximately 6.6% relative to baseline. Ponsegromab-mediated improvements in actigraphy-based assessments of physical activity and in quality of life, including appetite as assessed by Functional Assessment of Anorexia-Cachexia Therapy total and subscale scores, were also observed. Conclusions: Ponsegromab was well tolerated, suppressed serum GDF-15 concentrations, and demonstrated preliminary evidence of efficacy. These findings support the continued development of ponsegromab for the treatment of cachexia.

Co-administration of clesacostat (acetyl-CoA carboxylase inhibitor, PF-05221304) and ervogastat (diacylglycerol O-acyltransferase inhibitor, PF-06865571) in laboratory models improved non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steatohepatitis (NASH) end points and mitigated clesacostat-induced elevations in circulating triglycerides. Clesacostat is cleared via organic anion-transporting polypeptide-mediated hepatic uptake and cytochrome P450 family 3A (CYP3A); in vitro clesacostat is identified as a potential CYP3A time-dependent inactivator. In vitro ervogastat is identified as a substrate and potential inducer of CYP3A. Prior to longer-term efficacy trials in participants with NAFLD, safety and pharmacokinetics (PK) were evaluated in a phase I, non-randomized, open-label, fixed-sequence trial in healthy participants. In Cohort 1, participants (n = 7) received clesacostat 15 mg twice daily (b.i.d.) alone (Days 1-7) and co-administered with ervogastat 300 mg b.i.d. (Days 8-14). Mean systemic clesacostat exposures, when co-administered with ervogastat, decreased by 12% and 19%, based on maximum plasma drug concentration and area under the plasma drug concentration-time curve during the dosing interval, respectively. In Cohort 2, participants (n = 9) received ervogastat 300 mg b.i.d. alone (Days 1-7) and co-administered with clesacostat 15 mg b.i.d. (Days 8-14). There were no meaningful differences in systemic ervogastat exposures when administered alone or with clesacostat. Clesacostat 15 mg b.i.d. and ervogastat 300 mg b.i.d. co-administration was overall safe and well tolerated in healthy participants. Cumulative safety and no clinically meaningful PK drug interactions observed in this study supported co-administration of these two novel agents in additional studies exploring efficacy and safety in the management of NAFLD.

Background US shear-wave elastography (SWE) and vibration-controlled transient elastography (VCTE) enable assessment of liver stiffness, an indicator of fibrosis severity. However, limited reproducibility data restrict their use in clinical trials. Purpose To estimate SWE and VCTE measurement variability in nonalcoholic fatty liver disease (NAFLD) within and across systems to support clinical trial diagnostic enrichment and clinical interpretation of longitudinal liver stiffness. Materials and Methods This prospective, observational, cross-sectional study (March 2021 to November 2021) enrolled adults with NAFLD, stratified according to the Fibrosis-4 (FIB-4) index (≤1.3, >1.3 and <2.67, ≥2.67), at two sites to assess SWE with five US systems and VCTE with one system. Each participant underwent 12 elastography examinations over two separate days within 1 week, with each day's examinations conducted by a different operator. VCTE and SWE measurements were reported in units of meters per second. The primary end point was the different-day, different-operator reproducibility coefficient (RDCDDDO) pooled across systems for SWE and individually for VCTE. Secondary end points included system-specific RDCDDDO, same-day, same-operator repeatability coefficient (RCSDSO), and between-system same-day, same-operator reproducibility coefficient. The planned sample provided 80% power to detect a pooled RDCDDDO of less than 35%, the prespecified performance threshold. Results A total of 40 participants (mean age, 60 years ± 10 [SD]; 24 women) with low (n = 17), intermediate (n = 15), and high (n = 8) FIB-4 scores were enrolled. RDCDDDO was 30.7% (95% upper bound, 34.4%) for SWE and 35.6% (95% upper bound, 43.9%) for VCTE. SWE system-specific RDCDDDO varied from 24.2% to 34.3%. The RCSDSO was 21.0% for SWE (range, 13.9%-35.0%) and 19.6% for VCTE. The SWE between-system same-day, same-operator reproducibility coefficient was 52.7%. Conclusion SWE met the prespecified threshold, RDCDDDO less than 35%, with VCTE having a higher RDCDDDO. SWE variability was higher between different systems. These estimates advance liver US-based noninvasive test qualification by (a) defining expected variability, (b) establishing that serial examination variability is lower when performed with the same system, and (c) informing clinical trial design. ClinicalTrials.gov Identifier NCT04828551 © RSNA, 2024 Supplemental material is available for this article.

Summary of serum unbound and total ponsegromab Ctrough

AbstractBackgroundThis post hoc, pooled analysis examined the relationship between different weight gain categories and overall survival (OS) in patients with non‐small cell lung cancer (NSCLC) receiving first‐line platinum‐based chemotherapy.MethodsData were pooled from the control arms of three phase III clinical studies (NCT00596830, NCT00254891, and NCT00254904), and the maximum weight gain in the first 3 months from treatment initiation was categorised as >0%, >2.5%, and >5.0%. Cox proportional hazard modelling of OS was used to estimate hazard ratios (HRs) for each category, including baseline covariates, time to weight gain, and time to confirmed objective response (RECIST Version 1.0).ResultsOf 1030 patients with advanced NSCLC (IIIB 11.5% and IV 88.5%), 453 (44.0%), 252 (24.5%), and 120 (11.7%) experienced weight gain from baseline of >0%, >2.5%, and >5.0%, respectively. The median time to weight gain was 23 (>0%), 43 (>2.5%), and 45 (>5.0%) days. After adjusting for a time‐dependent confirmed objective response, the risk of death was reduced for patients with any weight gain (>0% vs. ≤0% [HR 0.71; 95% confidence interval—CI 0.61, 0.82], >2.5% vs. ≤2.5% [HR 0.76; 95% CI 0.64, 0.91] and >5.0% vs. ≤5.0% [HR 0.77; 95% CI 0.60, 0.99]). The median OS was 13.5 versus 8.6 months (weight gain >0% vs. ≤0%), 14.4 versus 9.4 months (weight gain >2.5% vs. ≤2.5%), and 13.4 versus 10.2 months (weight gain >5.0% vs. ≤5.0%).ConclusionsWeight gain during treatment was associated with a reduced risk of death, independent of tumour response. The survival benefit was comparable for weight gain >0%, >2.5%, and >5.0%, suggesting that any weight gain may be an early predictor of survival with implications for the design of interventional cancer cachexia studies.

AbstractBackgroundThe primary objective of this study was to assess the frequency of body composition increases and their relationships to changes in body weight in two cohorts of real world, treatment‐naïve, advanced non‐small cell lung cancer (NSCLC) patients. One cohort received the current standard of care (CSOC), which consisted of immunotherapy and newer chemotherapy regimens, and the other cohort was treated with the former standard of care (FSOC), consisting only of older platinum‐containing regimens.MethodsCSOC (n = 106) and FSOC (n = 88) cohorts of advanced NSCLC patients were included in this study. Weights were collected at each clinical visit, and body composition analysis from routine chest computed tomography via automated segmentation software assessed at baseline and at 6 and 12 weeks. Standard statistical methods were used to calculate relationships between changes in weight and in body composition.ResultsThe CSOC cohort contained 106 stage IV NSCLC patients treated between 16/12/2014 and 22/10/2020 while the FSOC cohort contained 88 stage III/IV NSCLC patients treated between 16/6/2006 and 18/11/2014. While each cohort exhibited decreases in median weight, body mass index (BMI), mean skeletal muscle index (SMI) and subcutaneous adipose tissue index (SATI) at the 6 and 12 week time points, a subset of patients experienced increases in these parameters. Using a threshold of ≥2.5% increase for weight, BMI, SMI, and SATI at the 12 week time point, both cohorts showed similar (20.5% and 27.3%) increases in these parameters. With a cut point of ≥5% increase at 12 weeks follow‐up, 8.0% to 25.0% of the patients gained ≥5% in weight, BMI, SMI and SATI. Comparing these results in each cohort showed no significant differences. Pearson coefficients for weight change related to changes in SMI and SATI at 6 and 12 weeks ranged from 0.31 to 0.58 with all P values <0.02. Pearson coefficients for weight change at 12 weeks related to changes in VATI and IMATI ranged from 0.26 to 0.47 with all P values <0.05. Comparison of Pearson coefficients for each cohort showed no significant differences.ConclusionsAlthough decreases in median weight, BMI, SMI and SATI were observed in both cohorts, similar percentage of patients in each cohort experienced increases in these parameters. These findings, plus the positive correlations between longitudinal measurements of weight, muscle mass and adipose tissue, indicate that weight gain in these patients involves increases in both muscle mass and adipose tissue. Upon validation, these findings could have implications for clinical trial design and for translational research in cancer cachexia.

Median serum unbound and total ponsegromab and GDF-15 concentration–time profiles (semi-log scale)

Background: Cachexia is common in patients with advanced cancer and has been associated with elevated serum growth/differentiation factor 15 (GDF-15) concentrations. This first-in-patient, phase 1b, study assessed the use of ponsegromab, a monoclonal antibody against GDF-15, in participants with advanced cancer and cachexia. Methods: Adult participants (n = 10) with cachexia, advanced cancer (non-small cell lung, colorectal, or pancreatic), and elevated serum concentrations of GDF-15 received open-label subcutaneous ponsegromab every three weeks (Q3W) for 12 weeks in addition to standard of care anti-cancer treatment. Study endpoints included assessment of ponsegromab safety, tolerability, and pharmacokinetics. Serum GDF-15 concentrations and exploratory measures of efficacy were also assessed. Results: No treatment-related adverse events or injection site reactions were reported. No adverse trends in clinical laboratory tests, vital signs, or electrocardiogram parameters attributable to ponsegromab dosing were evident. Ninety-two adverse events deemed unrelated to treatment were reported; most were mild (Grade 1 = 58.7%) or moderate (Grade 2 = 28.3%) in severity. All participants were negative for anti-drug antibodies at baseline (n = 10) and after receiving 5 doses (Q3W) of ponsegromab (n = 9). Mean unbound ponsegromab Ctrough ranged from 4.041-4383 ng/mL between Days 22-106. An elevated GDF-15 concentration was required for inclusion in the study. Following initiation of study treatment, median unbound GDF-15 concentration was reduced to below the lower limit of quantification (0.0424 ng/mL) on day 1 and remained suppressed until week 15 (3 weeks after final dose). Increases in body weight were observed at all time points during the treatment (weeks 3, 6, 9, and 12) and follow-up (weeks 15, 18, and 24) periods. The mean (SD) body weight at baseline was 70.49 (16.97) kg. An LS mean (SE) increase of 4.63 kg (1.98) was observed at week 12 (end of treatment); representing an increase of approximately 6.5% relative to baseline. Improvements in actigraphy-based assessments of physical activity and in quality of life, including appetite, as assessed by Functional Assessment of Anorexia-Cachexia Therapy (FAACT) total and subscale scores, were also observed during the course of ponsegromab treatment. Conclusions: In participants with advanced cancer, cachexia, and elevated baseline GDF-15, ponsegromab was well tolerated and suppressed serum GDF-15 concentrations to below the median concentration seen in healthy subjects. Preliminary evidence of efficacy, including a mean observed weight gain of approximately 6.5% at 12 weeks, supports continued development of ponsegromab for the treatment of cancer cachexia. Funded by Pfizer. ClinicalTrials.gov: NCT04299048 Citation Format: Jeffrey Crawford, Roberto A. Calle, Susie M. Collins, Yan Weng, Shannon L. Lubaczewski, Clare Buckeridge, Ellen Q. Wang, Magdalena A. Harrington, Anil Tarachandani, Michelle I. Rossulek, James H. Revkin. First-in-patient study of the GDF-15 inhibitor ponsegromab in patients with cancer and cachexia: Safety, tolerability, and exploratory measures of efficacy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT108.

Background There are no approved noninvasive tests (NIT) for the diagnosis of nonalcoholic steatohepatitis (NASH) and its histological phenotypes. Methods The FNIH-NIMBLE consortium tested 5 serum-based NIT panels for the following intended uses: NIS4: At-risk NASH, a composite of NASH with NAFLD activity score (NAS) ≥ 4 and fibrosis stage ≥ 2, OWLiver: NASH and NAS ≥ 4, enhanced liver fibrosis (ELF), PROC3 and Fibrometer VCTE: fibrosis stages ≥ 2, ≥ 3 or 4. Aliquots from a single blood sample obtained within 90 days of histological confirmation of NAFLD were tested. The prespecified performance metric tested for was a diagnostic AUROC greater than 0.7 and superiority to ALT for diagnosis of NASH or NAS ≥ 4 and to FIB-4 for fibrosis. Results A total of 1073 adults including NASH (n = 848), at-risk NASH (n = 539) and fibrosis stages 0–4 (n = 222, 114, 262, 277 and 198 respectively) were studied. The AUROC of NIS4 for at-risk NASH was 0.81 and superior to ALT and FIB4 (p < 0.001 for both). OWliver diagnosed NASH with sensitivity and specificity of 77.3% and 66.8% respectively. The AUROCs (95% CI) of ELF, PROC3 and Fibrometer VCTE respectively for fibrosis were as follows: ≥ stage 2 fibrosis [0.82 (0.8–0.85), 0.8 (0.77–0.83), and 0.84 (0.79–0.88)], ≥ stage 3 [0.83 (0.8–0.86), 0.76 (0.73–0.79), 0.85 (0.81–0.9), stage 4 [0.85 (0.81–0.89), 0.81 (0.77–0.85), 0.89 (0.84–0.95)]. ELF and Fibrometer VCTE were significantly superior to FIB-4 for all fibrosis endpoints (p < 0.01 for all). Conclusions These data support the further development of NIS4, ELF and Fibrometer VCTE for their intended uses.

There are no approved diagnostic biomarkers for at-risk non-alcoholic steatohepatitis (NASH), defined by the presence of NASH, high histological activity and fibrosis stage ≥2, which is associated with higher incidence of liver-related events and mortality. FNIH-NIMBLE is a multi-stakeholder project to support regulatory approval of NASH-related biomarkers. The diagnostic performance of five blood-based panels was evaluated in an observational (NASH CRN DB2) cohort ( n = 1,073) with full spectrum of non-alcoholic fatty liver disease (NAFLD). The panels were intended to diagnose at-risk NASH (NIS4), presence of NASH (OWLiver) or fibrosis stages >2, >3 or 4 (enhanced liver fibrosis (ELF) test, PROC3 and FibroMeter VCTE). The prespecified performance metric was an area under the receiver operating characteristic curve (AUROC) ≥0.7 and superiority over alanine aminotransferase for disease activity and the FIB-4 test for fibrosis severity. Multiple biomarkers met these metrics. NIS4 had an AUROC of 0.81 (95% confidence interval: 0.78–0.84) for at-risk NASH. The AUROCs of the ELF test, PROC3 and FibroMeterVCTE for clinically significant fibrosis (≥stage 2), advanced fibrosis (≥stage 3) or cirrhosis (stage 4), respectively, were all ≥0.8. ELF and FibroMeter VCTE outperformed FIB-4 for all fibrosis endpoints. These data represent a milestone toward qualification of several biomarker panels for at-risk NASH and also fibrosis severity in individuals with NAFLD.

Background There is a need for reliable noninvasive methods for diagnosing and monitoring nonalcoholic fatty liver disease (NAFLD). Thus, the multidisciplinary Non-invasive Biomarkers of Metabolic Liver disease (NIMBLE) consortium was formed to identify and advance the regulatory qualification of NAFLD imaging biomarkers. Purpose To determine the different-day same-scanner repeatability coefficient of liver MRI biomarkers in patients with NAFLD at risk for steatohepatitis. Materials and Methods NIMBLE 1.2 is a prospective, observational, single-center short-term cross-sectional study (October 2021 to June 2022) in adults with NAFLD across a spectrum of low, intermediate, and high likelihood of advanced fibrosis as determined according to the fibrosis based on four factors (FIB-4) index. Participants underwent up to seven MRI examinations across two visits less than or equal to 7 days apart. Standardized imaging protocols were implemented with six MRI scanners from three vendors at both 1.5 T and 3 T, with central analysis of the data performed by an independent reading center (University of California, San Diego). Trained analysts, who were blinded to clinical data, measured the MRI proton density fat fraction (PDFF), liver stiffness at MR elastography (MRE), and visceral adipose tissue (VAT) for each participant. Point estimates and CIs were calculated using χ2 distribution and statistical modeling for pooled repeatability measures. Results A total of 17 participants (mean age, 58 years ± 8.5 [SD]; 10 female) were included, of which seven (41.2%), six (35.3%), and four (23.5%) participants had a low, intermediate, or high likelihood of advanced fibrosis, respectively. The different-day same-scanner mean measurements were 13%-14% for PDFF, 6.6 L for VAT, and 3.15 kPa for two-dimensional MRE stiffness. The different-day same-scanner repeatability coefficients were 0.22 L (95% CI: 0.17, 0.29) for VAT, 0.75 kPa (95% CI: 0.6, 0.99) for MRE stiffness, 1.19% (95% CI: 0.96, 1.61) for MRI PDFF using magnitude reconstruction, 1.56% (95% CI: 1.26, 2.07) for MRI PDFF using complex reconstruction, and 19.7% (95% CI: 15.8, 26.2) for three-dimensional MRE shear modulus. Conclusion This preliminary study suggests that thresholds of 1.2%-1.6%, 0.22 L, and 0.75 kPa for MRI PDFF, VAT, and MRE, respectively, should be used to discern measurement error from real change in patients with NAFLD. ClinicalTrials.gov registration no. NCT05081427 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Kozaka and Matsui in this issue.