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Data · dataset · 2026

Figure 1 from Tumor-Secreted ADAMTSL4 Activates Latent TGFβ1 to Drive Cancer Cachexia

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.1158/2159-8290.34040816

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<p>Circulating ADAMTSL4 levels are elevated in cancer cachexia. <b>A</b> and <b>B,</b> Relative body weight (BW) change (% of initial BW; <b>A</b>) and plasma ADAMTSL4 protein levels measured by ELISA (<b>B</b>) in cachectic C26 tumor-bearing mice (<i>n</i> = 8), noncachectic MC38 tumor-bearing mice (<i>n</i> = 10), and PBS-injected controls (<i>n</i> = 13). <b>C</b> and <b>D,</b> Relative BW change (<b>C</b>) and plasma ADAMTSL4 levels (<b>D</b>) in cachectic <i>Apc</i><sup>Min/+</sup> mice (<i>n</i> = 6) vs. wild-type (WT) littermates (<i>n</i> = 6). <b>E</b> and <b>F,</b> Relative BW change (<b>E</b>) and plasma ADAMTSL4 levels (<b>F</b>) in cachectic LLC tumor-bearing mice (<i>n</i> = 16) and PBS-injected controls (<i>n</i> = 11). <b>G,</b> Spearman correlation between plasma ADAMTSL4 levels and relative BW change across all mouse models (<i>n</i> = 70 XY pairs; pooled from <b>A–F</b>). <b>H</b> and <b>I,</b> Relative BW change (<b>H</b>) and circulating ADAMTSL4 levels (<b>I</b>; ELISA, log<sub>10</sub> scale) in noncachectic (non–cancer cachexia, <i>n</i> = 20) and cachectic (cancer cachexia, <i>n</i> = 27) patients with colorectal cancer. <b>J</b> and <b>K,</b> Spearman correlations in patients with colorectal cancer between circulating ADAMTSL4 levels and relative BW change (<b>J</b>; <i>n</i> = 47 XY pairs) or cachexia grade (<b>K</b>; <i>n</i> = 47 XY pairs). <b>L,</b> ROC analysis comparing circulating ADAMTSL4 with established cachexia-associated biomarkers in patients with colorectal cancer. <b>M</b> and <b>N</b>, Relative BW change (<b>M</b>) and circulating ADAMTSL4 protein levels (<b>N</b>) in noncachectic (<i>n</i> = 30) and cachectic (<i>n</i> = 14) patients with LUAD from the TRACERx cohort.

ADAMTSL4 was quantified by Olink proximity extension assay and is reported as NPX (log<sub>2</sub>-scaled relative abundance units). <b>O</b> and <b>P,</b> Spearman correlations between ADAMTSL4 NPX values and relative BW change (<b>O</b>; <i>n</i> = 44 XY pairs) or cachexia grade (<b>P</b>; <i>n</i> = 44 XY pairs) in patients with LUAD. <b>Q,</b> Kaplan–Meier analysis of OS in patients with NSCLC from the TRACERx cohort stratified by high vs. low circulating ADAMTSL4 (median NPX as cutoff). <b>R,</b> Kaplan–Meier analysis of disease-free survival in patients with NSCLC from the TRACERx cohort stratified by high vs. low circulating ADAMTSL4 (median NPX as cutoff).

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Data are presented as the mean ± SEM for mouse experiments (<b>A–F</b>). Relative BW change in patient cohorts (<b>H</b> and <b>M</b>) is shown with individual data points and mean ± SEM. For human biomarker group comparisons (<b>I</b> and <b>N</b>), data are shown as box-and-whisker plots with individual data points overlaid.

Boxes indicate the interquartile range, center lines indicate the median, and whiskers indicate Tukey whiskers (1.5 × IQR). ELISA-based ADAMTSL4 concentrations in patients with colorectal cancer (<b>I</b>) are shown on a log<sub>10</sub>-transformed scale, whereas circulating ADAMTSL4 levels in patients with LUAD (<b>N</b>) are presented as NPX values (log<sub>2</sub> scale). Due to differences in measurement platforms, values were analyzed within each cohort and were not directly compared across datasets. <i>Statistical analysis</i>: one-way ANOVA with Tukey multiple-comparisons test (<b>A</b> and <b>B</b>), two-tailed unpaired <i>t</i> test (<b>C–F</b>), and Spearman correlation (<b>G</b>).

Human data were systematically evaluated for normality and outliers (ROUT, Q = 1%). For ELISA-based comparisons in colorectal cancer (<b>I</b>), distributions were right-skewed; therefore, two-tailed Mann–Whitney tests were used as the primary analysis, with Welch <i>t</i> test on log<sub>10</sub>-transformed data performed as sensitivity analysis (see “Methods”). Group comparisons in patients (<b>H</b>, <b>I</b>, <b>M</b>, and <b>N</b>) were analyzed using two-tailed Mann–Whitney tests.

Correlation analyses in human cohorts (<b>J</b>, <b>K</b>, <b>O</b>, and <b>P</b>) were performed using two-tailed Spearman rank correlation. ROC analysis (<b>L</b>) was used to compare biomarker performance for discrimination of cachectic vs. noncachectic patients with colorectal cancer. Kaplan–Meier survival curves (<b>Q</b> and <b>R</b>) were compared using the log-rank (Mantel–Cox) test.

Significance is denoted as *, <i>P</i> < 0.05; ***, <i>P</i> < 0.001; ****, <i>P</i> < 0.0001; ns, not significant.</p>

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Inferred from text
Oncology and carcinogenesis 71%
Provenance · 3 source records, 17 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/340408168 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/340408168 d agoJSON v1
DMU Figshareoai:figshare.com:article/340408168 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:cancermapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Cancer']
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