cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ghcv1g/u3qvhx
title: ML_300msEM200_MP5-137.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vjkqgo
title: ML_300msEM200_MP4-114.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vpo1it
title: ML_300msEM200_MP6-179.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/wa7cjr
title: ML_300msEM200_MP2-22.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/xrdq7y
title: ML_300msEM200_MP2-235.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ycjdud
title: ML_300msEM200_MP2-121.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ztqjia
title: ML_300msEM200_MP1-215.mat

description: :unav
DOI: 10.21223/p3/rbr0fg/hjgye3
title: Dictionary_Sweetpotato_Rice_Rotation.xls

description: :unav
DOI: 10.21223/p3/rbr0fg/up0til
title: Final data_Sweetpotato-Rice Rotation.xls

description: :unav
DOI: 10.7910/dvn/ghcv1g/7dnhei
title: ML_300msEM200_MP4-29.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8mqlyo
title: ML_300msEM200_MP2-156.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8urzyi
title: ML_300msEM200_MP1-8.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8vevz6
title: ML_300msEM200_MP4-184.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/94mwcr
title: ML_300msEM200_MP2-171.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/a9myjd
title: ML_300msEM200_MP1-254.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/b9yujt
title: ML_300msEM200_MP4-327.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bwi64d
title: ML_300msEM200_MP5-194.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/cydtol
title: ML_300msEM200_MP5-42.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/fktmg1
title: ML_300msEM200_MP1-324.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/gzsmyh
title: ML_300msEM200_MP4-188.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/idjy7p
title: ML_300msEM200_MP6-233.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ixduzv
title: ML_300msEM200_MP5-315.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/jgwi9l
title: ML_300msEM200_MP5-191.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/jpot88
title: ML_300msEM200_MP5-116.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/l4dbeo
title: ML_300msEM200_MP1-97.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/o0inxu
title: ML_300msEM200_MP4-185.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ou1v2k
title: ML_300msEM200_MP2-102.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/p3ccno
title: ML_300msEM200_MP5-226.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/q9q7vl
title: ML_300msEM200_MP2-102.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ql3sma
title: ML_300msEM200_MP1-238.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/s6bkun
title: ML_300msEM200_MP6-2.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/sbbhi3
title: ML_300msEM200_MP4-1.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/tsh86t
title: ML_300msEM200_MP4-141.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/tye1sh
title: ML_300msEM200_MP1-76.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/uc9ku7
title: ML_300msEM200_MP2-113.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/v0sify
title: ML_300msEM200_MP4-89.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/w1itsf
title: ML_300msEM200_MP1-190.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/wuoiwb
title: ML_300msEM200_MP6-312.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/x5han0
title: ML_300msEM200_MP1-53.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/x8wbdy
title: ML_300msEM200_MP4-167.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/xfepdz
title: ML_300msEM200_MP4-163.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/y3yn9c
title: ML_300msEM200_MP2-213.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/yig7vn
title: ML_300msEM200_MP2-117.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ykqi0w
title: ML_300msEM200_MP3-55.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zbujym
title: ML_300msEM200_MP6-82.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zgtwp7
title: ML_300msEM200_MP3-308.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zjrmws
title: ML_300msEM200_MP2-171.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/zyetgo
title: ML_300msEM200_MP1-178.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/1kgy9o
title: liveStageTrack.tif

description: :unav
DOI: 10.7910/dvn/ghcv1g/1kobs5
title: ML_300msEM200_MP1-206.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/3ce5mm
title: ML_300msEM200_MP2-47.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/4ibmj2
title: ML_300msEM200_MP2-275.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/4ld7v6
title: ML_300msEM200_MP3-93.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/5xmenj
title: ML_300msEM200_MP4-195.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/6m9frf
title: ML_300msEM200_MP3-83.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/6roko1
title: ML_300msEM200_MP2-293.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8l45mh
title: ML_300msEM200_MP6-290.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/aae02w
title: ML_300msEM200_MP5-136.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/acvoqw
title: ML_300msEM200_MP2-284.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/aees8p
title: ML_300msEM200_MP2-238.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/axgkcq
title: ML_300msEM200_MP6-302.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/bryaqw
title: ML_300msEM200_MP3-255.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/c4rjh2
title: ML_300msEM200_MP5-130.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/dj2qhb
title: ML_300msEM200_MP1-171.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/escfp7
title: ML_300msEM200_MP1-207.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/gtssq8
title: ML_300msEM200_MP2-65.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/i8ltim
title: ML_300msEM200_MP1-25.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/kexab9
title: ML_300msEM200_MP2-250.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/nhlxmx
title: ML_300msEM200_MP1-155.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/nluolo
title: ML_300msEM200_MP5-0.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ocfnps
title: ML_300msEM200_MP5-202.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/oe3e9t
title: ML_300msEM200_MP1-290.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/p36trv
title: ML_300msEM200_MP1-2.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/pl7tme
title: ML_MPasPreponEpoxyTip_f1-QDot(ChATTL)_I_0.tif

description: :unav
DOI: 10.7910/dvn/ghcv1g/pzfksz
title: ML_300msEM200_MP5-283.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qdrnqz
title: ML_300msEM200_MP3-29.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/qigus2
title: ML_300msEM200_MP4-291.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rbbd3o
title: ML_300msEM200_MP1-0.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/rw2cv8
title: ML_300msEM200_MP6-67.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/ssniex
title: ML_300msEM200_MP1-102.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/stfmqn
title: ML_300msEM200_MP6-51.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/utfdqk
title: ML_300msEM200_MP2-94.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vtkt0x
title: ML_300msEM200_MP6-19.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/vxx3jm
title: ML_300msEM200_MP6-36.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/x0jkou
title: ML_300msEM200_MP4-45.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/xtytcu
title: ML_300msEM200_MP6-9.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/yiipol
title: ML_300msEM200_MP1-267.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0frwex
title: ML_300msEM200_MP4-133.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/0ivghj
title: ML_300msEM200_MP1-321.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/1ghods
title: ML_300msEM200_MP4-148.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/2wttxw
title: ML_300msEM200_MP5-320.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/4dit2p
title: ML_300msEM200_MP4-175.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/7w3ygr
title: ML_300msEM200_MP1-242.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/806jjn
title: ML_300msEM200_MP4-198.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/8es9cc
title: ML_300msEM200_MP1-152.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/aq9vws
title: ML_300msEM200_MP4-329.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/aydnws
title: ML_300msEM200_MP5-74.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/azonzi
title: ML_300msEM200_MP2-283.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/buqbwk
title: ML_300msEM200_MP2-89.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/cn6t8v
title: ML_300msEM200_MP2-8.mat

description: :unav
DOI: 10.7910/dvn/ghcv1g/dkq8x1
title: ML_300msEM200_MP5-99.mat

description: :unav
DOI: 10.6084/m9.figshare.5311147
title: A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae

description: Increasing numbers of conodont discoveries with soft tissue preservation, natural assemblages and fused clusters of the hard tissue have strengthened the hypothesis regarding the function and mechanism of the conodont feeding apparatus. Exceptional fossil preservation serves as a solid basis for modern reconstructions of the conodont apparatus illustrating the complex interplay of the single apparatus elements. Reliable published models concern the ozarkodinid apparatus of Pennsylvanian and Early Triassic conodonts. Recognition of microwear and mammal-like occlusion, especially of platform elements belonging to individuals of the genus <i>Idiognathodus</i>, allows rotational closure to be interpreted as the crushing mechanism of ozarkodinid platform (P1) elements. Here we describe a new icriodontid conodont cluster of <i>Caudicriodus woschmidti</i> that consists of one pair of icriodontan (I) and 10 pairs of coniform (C1–5) elements, with I elements being preserved in interlocking position. The special kind of element arrangement within the fused cluster provides new insights into icriodontid apparatus reconstruction and notation of elements. However, orientation of coniform elements is limited to a certain degree by possible preservational bias. Four possible apparatus models are introduced and discussed. Recognition of specific wear on denticle tips of one of the icriodontan elements forms the basis for an alternative hypothesis of apparatus motion. Analysis of tip wear suggests a horizontal, slightly elliptical motion of opposed, antagonistically operating I elements. This is supported by similar tip wear from much better preserved, but isolated, elements of Middle Devonian icriodontids. More detailed interpretation of the masticatory movement will allow enhanced understanding of anatomical specifications, diet and palaeobiology of different euconodont groups.
DOI: 10.6084/m9.figshare.5311150
title: Dataset for: Cell-free DNA copy number variations in plasma from colorectal cancer patients

description: To evaluate clinical utility of cell free DNA (cfDNA), we performed whole genome sequencing to systematically examine plasma cfDNA copy number variations (CNVs) in a cohort of patients with colorectal cancer (CRC, n=80), polyps (n=20) and healthy controls (n=35). We initiallycompared cfDNA yield in 20 paired serum-plasma samples and observed significantly higher cfDNA concentration in serum (median=81.20ng, range 7.18-500ng/ml) than in plasma (median=5.09ng, range 3.76-62.8ng/ml) (p&lt;0.0001). However, tumor-derived cfDNA content was significantly lower in serum than in matched plasma samples tested. With ~10 million reads per sample, the sequencing-based copy number analysis showed common CNVs in multiple chromosomal regions, including amplifications on 1q, 8q and 5q, and deletions on 1p, 4q, 8p,17p, 18q and 22q. Copy number changes were also evident in genes critical to the cell cycle, DNA repair and WNT signaling pathways. To evaluate if cumulative copy number changes were associated with tumor stages, we calculated plasma genomic abnormality in colon cancer (PGA-C) score by summing the most significant CNVs. The PGA-C score showed predictive performance with an area under the curve from 0.54 to 0.84 for CRC stages I-IV. Locus-specific copy number analysis identified nine genomic regions where CNVs were significantly associated with survival in stages III-IV CRC patients. A multivariate model using six of nine genomic regions demonstrated a significant association of high risk score with shorter survival (HR=5.33, 95%CI=6.76-94.44, p&lt;0.0001). Our study demonstrates the importance of using plasma (rather than serum) to test tumor-related genomic variations. Plasma cfDNA-based tests can capture tumor-specific genetic changes and may provide a measurable classifier for assessing clinical outcomes in advanced CRC patients.
DOI: 10.6084/m9.figshare.5311153
title: Osteology of the Middle Triassic stem-turtle <i>Pappochelys rosinae</i> and the early evolution of the turtle skeleton

description: <i>Pappochelys</i> extends the fossil record of Triassic stem-turtles back by some 20 million years, and provides important new insights into how and in what sequence the key features of turtles arose. It shares various derived features with the early Late Triassic stem-turtle <i>Odontochelys</i>, such as T-shaped ribs, a short trunk, and features of the girdles and limbs. At the same time, it is more plesiomorphic in retaining a fully diapsid skull and in lacking both neurals and a plastron with plate-like elements. <i>Pappochelys</i> provides important new evidence that the carapace and plastron of turtles are distinct moieties that evolved independently from each other. The skull of <i>Pappochelys</i> is more or less triangular in plan view. The marginal dentition comprises peg-like teeth with subthecodont implantation. Whereas the upper temporal fenestra is relatively small and rounded, the lower temporal opening is large and ventrally open. The slender vomers are fused. The vertebral column of <i>Pappochelys</i> comprises probably eight cervical, probably nine dorsal, two sacral, and more than 24 caudal vertebrae. The dorsal ribs have asymmetrical anterior and posterior flanges and their external surfaces are heavily ornamented. The gastralia form pairs of robust elements, one per vertebral segment. The scapula has a slender dorsal shaft and a rounded ‘acromial’ flange. The humerus has a slightly dorsally raised proximal head and a gently sigmoidal curvature. The pubis closely resembles that of <i>Odontochelys</i> in overall shape and has a well-developed lateral process. We performed a phylogenetic analysis using a modified character-taxon matrix (272 characters, 50 taxa) from a recent study to assess the placement of <i>Pappochelys</i> among amniotes. <i>Pappochelys</i> was found to nest among Pantestudines with <i>Eunotosaurus</i> and the more derived <i>Odontochelys</i> and <i>Proganochelys</i>. The diapsid affinities of turtles are well supported but it is still unresolved whether turtles are saurians or only related to the latter.
DOI: 10.6084/m9.figshare.5311147.v1
title: A new icriodontid conodont cluster with specific mesowear supports an alternative apparatus motion model for Icriodontidae

description: Increasing numbers of conodont discoveries with soft tissue preservation, natural assemblages and fused clusters of the hard tissue have strengthened the hypothesis regarding the function and mechanism of the conodont feeding apparatus. Exceptional fossil preservation serves as a solid basis for modern reconstructions of the conodont apparatus illustrating the complex interplay of the single apparatus elements. Reliable published models concern the ozarkodinid apparatus of Pennsylvanian and Early Triassic conodonts. Recognition of microwear and mammal-like occlusion, especially of platform elements belonging to individuals of the genus <i>Idiognathodus</i>, allows rotational closure to be interpreted as the crushing mechanism of ozarkodinid platform (P1) elements. Here we describe a new icriodontid conodont cluster of <i>Caudicriodus woschmidti</i> that consists of one pair of icriodontan (I) and 10 pairs of coniform (C1–5) elements, with I elements being preserved in interlocking position. The special kind of element arrangement within the fused cluster provides new insights into icriodontid apparatus reconstruction and notation of elements. However, orientation of coniform elements is limited to a certain degree by possible preservational bias. Four possible apparatus models are introduced and discussed. Recognition of specific wear on denticle tips of one of the icriodontan elements forms the basis for an alternative hypothesis of apparatus motion. Analysis of tip wear suggests a horizontal, slightly elliptical motion of opposed, antagonistically operating I elements. This is supported by similar tip wear from much better preserved, but isolated, elements of Middle Devonian icriodontids. More detailed interpretation of the masticatory movement will allow enhanced understanding of anatomical specifications, diet and palaeobiology of different euconodont groups.
DOI: 10.6084/m9.figshare.5311150.v1
title: Dataset for: Cell-free DNA copy number variations in plasma from colorectal cancer patients

description: To evaluate clinical utility of cell free DNA (cfDNA), we performed whole genome sequencing to systematically examine plasma cfDNA copy number variations (CNVs) in a cohort of patients with colorectal cancer (CRC, n=80), polyps (n=20) and healthy controls (n=35). We initiallycompared cfDNA yield in 20 paired serum-plasma samples and observed significantly higher cfDNA concentration in serum (median=81.20ng, range 7.18-500ng/ml) than in plasma (median=5.09ng, range 3.76-62.8ng/ml) (p&lt;0.0001). However, tumor-derived cfDNA content was significantly lower in serum than in matched plasma samples tested. With ~10 million reads per sample, the sequencing-based copy number analysis showed common CNVs in multiple chromosomal regions, including amplifications on 1q, 8q and 5q, and deletions on 1p, 4q, 8p,17p, 18q and 22q. Copy number changes were also evident in genes critical to the cell cycle, DNA repair and WNT signaling pathways. To evaluate if cumulative copy number changes were associated with tumor stages, we calculated plasma genomic abnormality in colon cancer (PGA-C) score by summing the most significant CNVs. The PGA-C score showed predictive performance with an area under the curve from 0.54 to 0.84 for CRC stages I-IV. Locus-specific copy number analysis identified nine genomic regions where CNVs were significantly associated with survival in stages III-IV CRC patients. A multivariate model using six of nine genomic regions demonstrated a significant association of high risk score with shorter survival (HR=5.33, 95%CI=6.76-94.44, p&lt;0.0001). Our study demonstrates the importance of using plasma (rather than serum) to test tumor-related genomic variations. Plasma cfDNA-based tests can capture tumor-specific genetic changes and may provide a measurable classifier for assessing clinical outcomes in advanced CRC patients.
DOI: 10.6084/m9.figshare.5311123
title: Dataset for: Military training elicits marked increases in plasma metabolomic signatures of energy metabolism, lipolysis, fatty acid oxidation, and ketogenesis

description: Military training studies provide unique insight into metabolic responses to extreme physiologic stress induced by multiple-stressor environments, and the impacts of nutrition in mediating these responses. Advances in metabolomics have provided new approaches for extending current understanding of factors modulating dynamic metabolic responses in these environments. In this study whole-body metabolic responses to strenuous military training were explored in relation to energy balance and macronutrient intake by performing non-targeted global metabolite profiling on plasma collected from 25 male Soldiers before and after completing 4-d, 51-km cross-country ski march that produced high total daily energy expenditures [25.4 MJ/d (SD 2.3)] and severe energy deficits [13.6 MJ/d (SD 2.5)]. Of 737 identified metabolites, 478 changed during the training. Increases in 88% of the free fatty acids and 91% of the acylcarnitines, and decreases in 88% of the mono- and di-acylglycerols detected within lipid metabolism pathways were observed. Smaller increases in 75% of the tricarboxylic acid cycle intermediates, and 50% of the branched-chain amino acid metabolites detected were also observed. Changes in multiple metabolites related to lipid metabolism were correlated with body mass loss and energy balance, but not with energy and macronutrient intakes or energy expenditure. These findings are consistent with an increase in energy metabolism, lipolysis, fatty acid oxidation, ketogenesis, and branched-chain amino acid catabolism during strenuous military training. The magnitude of the energy deficit induced by undereating relative to high energy expenditure appears to drive these changes, particularly within lipid metabolism pathways.
DOI: 10.6084/m9.figshare.5311141
title: Skin Autofluorescence Datasets

description: Skin Autofuorescence (SAF) measurements of a healthy population (n=2,780) and of individuals with Cardiovascular Disease (CVD, n=50), Diabetes (DM, n=111) and mixed disease phenotypes (n=74).
DOI: 10.6084/m9.figshare.5311117
title: Dataset for: PROGNOSTIC AND FUNCTIONAL ROLE OF SUBTYPE-SPECIFIC TUMOR-STROMA INTERACTION IN BREAST CANCER

description: None of the clinically relevant gene expression signatures available for breast cancer were specifically developed to capture the influence of the microenvironment on tumor cells. Here, we attempted to build subtype-specific signatures derived from an in vitro model reproducing tumor cell modifications after interaction with activated or normal stromal cells. Gene expression signatures derived from HER2+, luminal and basal breast cancer cell lines (treated by normal fibroblasts or cancer-associated fibroblasts conditioned media) were evaluated in clinical tumors by in silico analysis on published gene expression profiles (GEPs). Patients were classified as microenvironment-positive (µENV+ve), i.e with tumors showing molecular profiles suggesting activation by the stroma, or negative (µENV-ve) based on correlation of their tumors’ GEP with the respective subtype-specific signature. Patients with estrogen receptor alpha (ER)+/HER2-/µENV+ve tumors were characterized by 2.5-fold higher risk of developing distant metastases (HR= 2.546; 95% Cl: 1.751-3.701, P=9.84E-07), while µENV status did not affect, or only suggested the risk of distant metastases, in women with HER2+ (HR=1.541; 95% Cl: 0.788-3.012, P=0.206) or ER-/HER2- tumors (HR=1.894; 95% Cl: 0.938-3.824; P=0.0747), respectively. In ER+/HER2- tumors, the µENV status remained significantly associated with metastatic progression (HR=2.098; CI: 1.214-3.624; P=0.00791) in multivariable analysis including size, age and genomic grade index. Validity of our in vitro model was also supported by in vitro biological endpoints such as cell growth (MTT-assay) and migration/invasion (Transwell-assay). In vitro-derived gene signatures tracing the bidirectional interaction with cancer activated fibroblasts is subtype-specific and adds independent prognostic information to classical prognostic variables in women with ER+/HER2- tumors.