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pmid:41619135

A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.

Yun Li · Zhongquan Yi · Linhua Liu · Danping Huang

Discover oncology · 2026 doi:10.1007/s12672-026-04544-w

Paper

complete

Experiment

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Data

partial

Analysis

partial

Execution

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title
A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.
doi
10.1007/s12672-026-04544-w
pmid
41619135
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[0]
Yun Li
[1]
Zhongquan Yi
[2]
Linhua Liu
[3]
Danping Huang
journal
Discover oncology
year
2026
abstract
Hepatocellular carcinoma (HCC) represents an extremely complex and heterogeneous malignant tumor. Protein palmitoylation, a highly conserved and pivotal form of post-translational protein modification, is extensively implicated in cancer progression and exerts a regulatory role in immune responses. Nevertheless, the prognosis significance and therapeutic potential of palmitoylation-related genes (PRGs) in HCC remain incompletely explored. In the present study, we systematically analyzed multiple transcriptome cohort samples from the TCGA, ICGC and GEO databases, including the TCGA-LIHC, ICGC-LIRI, GSE16757, GSE54236, GSE14520, GSE45267 and GSE36376 cohorts. Subsequently, within the TCGA training cohort, a PRGsSig comprising three hub PRGs, namely HSP90AA1, CTHRC1, and PTDSS2, was constructed via machine learning algorithms. Then, the efficacy of this PRGsSig on prognosis prediction was assessed in the training and validation cohorts. Further analysis of immunotherapy response indicated that patients with low PRGsSig scores benefited more from treatment. Additionally, remarkable disparities were observed between patients in different signature score groups in terms of clinical characteristics, tumor mutation burden, tumor microenvironment, and potential drugs. Furthermore, among the three hub PRGs, PTDSS2 was significantly upregulated in HCC cells and its knockdown significantly inhibited the proliferation and metastasis of HCC cells. In conclusion, we established a robust PRGsSig that offers valuable insights for prognostic prediction and informs treatment strategies in HCC.
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In the training cohort, leveraging the aforementioned 301 PRGs, the PRGsSig was established through univariate cox regression (p < 0.01), LASSO regression, and multiple stepwise cox regression analysis.
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sections[4] "Construction and validation of the PRGsSig" paragraph 2
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In the training cohort, leveraging the aforementioned 301 PRGs, the PRGsSig was established through univariate cox regression (p < 0.01), LASSO regression, and multiple stepwise cox regression analysis.
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Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
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Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
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In the TCGA-LIHC training cohort, a PRGsSig comprising three hub PRGs, namely HSP90AA1, CTHRC1, and PTDSS2, was constructed via machine learning algorithms.
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sections[0] "Abstract" paragraph 1
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Subsequently, within the TCGA training cohort, a PRGsSig comprising three hub PRGs, namely HSP90AA1, CTHRC1, and PTDSS2, was constructed via machine learning algorithms.
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In the TCGA-LIHC training cohort, a PRGsSig comprising three hub PRGs, namely HSP90AA1, CTHRC1, and PTDSS2, was constructed via machine learning algorithms.
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resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[2] object · 15 fields
id
data:geo:GSE16757
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16757
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null
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null
access
open
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resolved
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reader_status
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identifier
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null
note
Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
structure object · 15 fields
repository
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access_route
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access_statement_verbatim
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access_statement_kind
repository_route_statement
sample_accessions array · 100 items
[0]
GSM420007
[1]
GSM420008
[2]
GSM420009
[3]
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[4]
GSM420011
[5]
GSM420012
[6]
GSM420013
[7]
GSM420014
[8]
GSM420015
[9]
GSM420016
[10]
GSM420017
[11]
GSM420018
[12]
GSM420019
[13]
GSM420020
[14]
GSM420021
[15]
GSM420022
[16]
GSM420023
[17]
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[18]
GSM420025
[19]
GSM420026
[20]
GSM420027
[21]
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[22]
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[23]
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[24]
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[25]
GSM420032
[26]
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[27]
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[28]
GSM420035
[29]
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[30]
GSM420037
[31]
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[32]
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[33]
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[34]
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[35]
GSM420042
[36]
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[37]
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[38]
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[39]
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[40]
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[41]
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[42]
GSM420049
[43]
GSM420050
[44]
GSM420051
[45]
GSM420052
[46]
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[47]
GSM420054
[48]
GSM420055
[49]
GSM420056
[50]
GSM420057
[51]
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[52]
GSM420059
[53]
GSM420060
[54]
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[55]
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[56]
GSM420063
[57]
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[58]
GSM420065
[59]
GSM420066
[60]
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[61]
GSM420068
[62]
GSM420069
[63]
GSM420070
[64]
GSM420071
[65]
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[66]
GSM420073
[67]
GSM420074
[68]
GSM420075
[69]
GSM420076
[70]
GSM420077
[71]
GSM420078
[72]
GSM420079
[73]
GSM420080
[74]
GSM420081
[75]
GSM420082
[76]
GSM420083
[77]
GSM420084
[78]
GSM420085
[79]
GSM420086
[80]
GSM420087
[81]
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[82]
GSM420089
[83]
GSM420090
[84]
GSM420091
[85]
GSM420092
[86]
GSM420093
[87]
GSM420094
[88]
GSM420095
[89]
GSM420096
[90]
GSM420097
[91]
GSM420098
[92]
GSM420099
[93]
GSM420100
[94]
GSM420101
[95]
GSM420102
[96]
GSM420103
[97]
GSM420104
[98]
GSM420105
[99]
GSM420106
sample_count
100
group_sizes
null
group_sizes_basis
null
platform
6102
taxon
Homo sapiens
title
Gene expression study in hepatocellular carcinoma
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[3] object · 15 fields
id
data:geo:GSE36376
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36376
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE36376
version
null
note
Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
access_statement_kind
repository_route_statement
sample_accessions array · 433 items
[0]
GSM890128
[1]
GSM890129
[2]
GSM890130
[3]
GSM890131
[4]
GSM890132
[5]
GSM890133
[6]
GSM890134
[7]
GSM890135
[8]
GSM890136
[9]
GSM890137
[10]
GSM890138
[11]
GSM890139
[12]
GSM890140
[13]
GSM890141
[14]
GSM890142
[15]
GSM890143
[16]
GSM890144
[17]
GSM890145
[18]
GSM890146
[19]
GSM890147
[20]
GSM890148
[21]
GSM890149
[22]
GSM890150
[23]
GSM890151
[24]
GSM890152
[25]
GSM890153
[26]
GSM890154
[27]
GSM890155
[28]
GSM890156
[29]
GSM890157
[30]
GSM890158
[31]
GSM890159
[32]
GSM890160
[33]
GSM890161
[34]
GSM890162
[35]
GSM890163
[36]
GSM890164
[37]
GSM890165
[38]
GSM890166
[39]
GSM890167
[40]
GSM890168
[41]
GSM890169
[42]
GSM890170
[43]
GSM890171
[44]
GSM890172
[45]
GSM890173
[46]
GSM890174
[47]
GSM890175
[48]
GSM890176
[49]
GSM890177
[50]
GSM890178
[51]
GSM890179
[52]
GSM890180
[53]
GSM890181
[54]
GSM890182
[55]
GSM890183
[56]
GSM890184
[57]
GSM890185
[58]
GSM890186
[59]
GSM890187
[60]
GSM890188
[61]
GSM890189
[62]
GSM890190
[63]
GSM890191
[64]
GSM890192
[65]
GSM890193
[66]
GSM890194
[67]
GSM890195
[68]
GSM890196
[69]
GSM890197
[70]
GSM890198
[71]
GSM890199
[72]
GSM890200
[73]
GSM890201
[74]
GSM890202
[75]
GSM890203
[76]
GSM890204
[77]
GSM890205
[78]
GSM890206
[79]
GSM890207
[80]
GSM890208
[81]
GSM890209
[82]
GSM890210
[83]
GSM890211
[84]
GSM890212
[85]
GSM890213
[86]
GSM890214
[87]
GSM890215
[88]
GSM890216
[89]
GSM890217
[90]
GSM890218
[91]
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[92]
GSM890220
[93]
GSM890221
[94]
GSM890222
[95]
GSM890223
[96]
GSM890224
[97]
GSM890225
[98]
GSM890226
[99]
GSM890227
[100]
GSM890228
[101]
GSM890229
[102]
GSM890230
[103]
GSM890231
[104]
GSM890232
[105]
GSM890233
[106]
GSM890234
[107]
GSM890235
[108]
GSM890236
[109]
GSM890237
[110]
GSM890238
[111]
GSM890239
[112]
GSM890240
[113]
GSM890241
[114]
GSM890242
[115]
GSM890243
[116]
GSM890244
[117]
GSM890245
[118]
GSM890246
[119]
GSM890247
[120]
GSM890248
[121]
GSM890249
[122]
GSM890250
[123]
GSM890251
[124]
GSM890252
[125]
GSM890253
[126]
GSM890254
[127]
GSM890255
[128]
GSM890256
[129]
GSM890257
[130]
GSM890258
[131]
GSM890259
[132]
GSM890260
[133]
GSM890261
[134]
GSM890262
[135]
GSM890263
[136]
GSM890264
[137]
GSM890265
[138]
GSM890266
[139]
GSM890267
[140]
GSM890268
[141]
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[142]
GSM890270
[143]
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[144]
GSM890272
[145]
GSM890273
[146]
GSM890274
[147]
GSM890275
[148]
GSM890276
[149]
GSM890277
[150]
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[151]
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[152]
GSM890280
[153]
GSM890281
[154]
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[155]
GSM890283
[156]
GSM890284
[157]
GSM890285
[158]
GSM890286
[159]
GSM890287
[160]
GSM890288
[161]
GSM890289
[162]
GSM890290
[163]
GSM890291
[164]
GSM890292
[165]
GSM890293
[166]
GSM890294
[167]
GSM890295
[168]
GSM890296
[169]
GSM890297
[170]
GSM890298
[171]
GSM890299
[172]
GSM890300
[173]
GSM890301
[174]
GSM890302
[175]
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[176]
GSM890304
[177]
GSM890305
[178]
GSM890306
[179]
GSM890307
[180]
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[181]
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[182]
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[183]
GSM890311
[184]
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[185]
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[186]
GSM890314
[187]
GSM890315
[188]
GSM890316
[189]
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[190]
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[191]
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[192]
GSM890320
[193]
GSM890321
[194]
GSM890322
[195]
GSM890323
[196]
GSM890324
[197]
GSM890325
[198]
GSM890326
[199]
GSM890327
[200]
GSM890328
[201]
GSM890329
[202]
GSM890330
[203]
GSM890331
[204]
GSM890332
[205]
GSM890333
[206]
GSM890334
[207]
GSM890335
[208]
GSM890336
[209]
GSM890337
[210]
GSM890338
[211]
GSM890339
[212]
GSM890340
[213]
GSM890341
[214]
GSM890342
[215]
GSM890343
[216]
GSM890344
[217]
GSM890345
[218]
GSM890346
[219]
GSM890347
[220]
GSM890348
[221]
GSM890349
[222]
GSM890350
[223]
GSM890351
[224]
GSM890352
[225]
GSM890353
[226]
GSM890354
[227]
GSM890355
[228]
GSM890356
[229]
GSM890357
[230]
GSM890358
[231]
GSM890359
[232]
GSM890360
[233]
GSM890361
[234]
GSM890362
[235]
GSM890363
[236]
GSM890364
[237]
GSM890365
[238]
GSM890366
[239]
GSM890367
[240]
GSM890368
[241]
GSM890369
[242]
GSM890370
[243]
GSM890371
[244]
GSM890372
[245]
GSM890373
[246]
GSM890374
[247]
GSM890375
[248]
GSM890376
[249]
GSM890377
[250]
GSM890378
[251]
GSM890379
[252]
GSM890380
[253]
GSM890381
[254]
GSM890382
[255]
GSM890383
[256]
GSM890384
[257]
GSM890385
[258]
GSM890386
[259]
GSM890387
[260]
GSM890388
[261]
GSM890389
[262]
GSM890390
[263]
GSM890391
[264]
GSM890392
[265]
GSM890393
[266]
GSM890394
[267]
GSM890395
[268]
GSM890396
[269]
GSM890397
[270]
GSM890398
[271]
GSM890399
[272]
GSM890400
[273]
GSM890401
[274]
GSM890402
[275]
GSM890403
[276]
GSM890404
[277]
GSM890405
[278]
GSM890406
[279]
GSM890407
[280]
GSM890408
[281]
GSM890409
[282]
GSM890410
[283]
GSM890411
[284]
GSM890412
[285]
GSM890413
[286]
GSM890414
[287]
GSM890415
[288]
GSM890416
[289]
GSM890417
[290]
GSM890418
[291]
GSM890419
[292]
GSM890420
[293]
GSM890421
[294]
GSM890422
[295]
GSM890423
[296]
GSM890424
[297]
GSM890425
[298]
GSM890426
[299]
GSM890427
[300]
GSM890428
[301]
GSM890429
[302]
GSM890430
[303]
GSM890431
[304]
GSM890432
[305]
GSM890433
[306]
GSM890434
[307]
GSM890435
[308]
GSM890436
[309]
GSM890437
[310]
GSM890438
[311]
GSM890439
[312]
GSM890440
[313]
GSM890441
[314]
GSM890442
[315]
GSM890443
[316]
GSM890444
[317]
GSM890445
[318]
GSM890446
[319]
GSM890447
[320]
GSM890448
[321]
GSM890449
[322]
GSM890450
[323]
GSM890451
[324]
GSM890452
[325]
GSM890453
[326]
GSM890454
[327]
GSM890455
[328]
GSM890456
[329]
GSM890457
[330]
GSM890458
[331]
GSM890459
[332]
GSM890460
[333]
GSM890461
[334]
GSM890462
[335]
GSM890463
[336]
GSM890464
[337]
GSM890465
[338]
GSM890466
[339]
GSM890467
[340]
GSM890468
[341]
GSM890469
[342]
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[343]
GSM890471
[344]
GSM890472
[345]
GSM890473
[346]
GSM890474
[347]
GSM890475
[348]
GSM890476
[349]
GSM890477
[350]
GSM890478
[351]
GSM890479
[352]
GSM890480
[353]
GSM890481
[354]
GSM890482
[355]
GSM890483
[356]
GSM890484
[357]
GSM890485
[358]
GSM890486
[359]
GSM890487
[360]
GSM890488
[361]
GSM890489
[362]
GSM890490
[363]
GSM890491
[364]
GSM890492
[365]
GSM890493
[366]
GSM890494
[367]
GSM890495
[368]
GSM890496
[369]
GSM890497
[370]
GSM890498
[371]
GSM890499
[372]
GSM890500
[373]
GSM890501
[374]
GSM890502
[375]
GSM890503
[376]
GSM890504
[377]
GSM890505
[378]
GSM890506
[379]
GSM890507
[380]
GSM890508
[381]
GSM890509
[382]
GSM890510
[383]
GSM890511
[384]
GSM890512
[385]
GSM890513
[386]
GSM890514
[387]
GSM890515
[388]
GSM890516
[389]
GSM890517
[390]
GSM890518
[391]
GSM890519
[392]
GSM890520
[393]
GSM890521
[394]
GSM890522
[395]
GSM890523
[396]
GSM890524
[397]
GSM890525
[398]
GSM890526
[399]
GSM890527
[400]
GSM890528
[401]
GSM890529
[402]
GSM890530
[403]
GSM890531
[404]
GSM890532
[405]
GSM890533
[406]
GSM890534
[407]
GSM890535
[408]
GSM890536
[409]
GSM890537
[410]
GSM890538
[411]
GSM890539
[412]
GSM890540
[413]
GSM890541
[414]
GSM890542
[415]
GSM890543
[416]
GSM890544
[417]
GSM890545
[418]
GSM890546
[419]
GSM890547
[420]
GSM890548
[421]
GSM890549
[422]
GSM890550
[423]
GSM890551
[424]
GSM890552
[425]
GSM890553
[426]
GSM890554
[427]
GSM890555
[428]
GSM890556
[429]
GSM890557
[430]
GSM890558
[431]
GSM890559
[432]
GSM890560
sample_count
433
group_sizes
null
group_sizes_basis
null
platform
10558
taxon
Homo sapiens
title
Gene Expression Profiles of both tumor and adjacent non-tumor liver Identify Hepatocellular Carcinoma Patients at High Risk of Recurrence after Curative Hepatectomy
resolution_checked_at
2026-11-01T15:39:54Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
id
data:geo:GSE45267
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE45267
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE45267
version
null
note
Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Specifically, transcriptome data from the TCGA-LIHC cohort was transformed into transcripts per million.
access_statement_kind
repository_route_statement
sample_accessions array · 87 items
[0]
GSM1100370
[1]
GSM1100371
[2]
GSM1100372
[3]
GSM1100373
[4]
GSM1100374
[5]
GSM1100375
[6]
GSM1100376
[7]
GSM1100377
[8]
GSM1100378
[9]
GSM1100379
[10]
GSM1100380
[11]
GSM1100381
[12]
GSM1100382
[13]
GSM1100383
[14]
GSM1100384
[15]
GSM1100385
[16]
GSM1100386
[17]
GSM1100387
[18]
GSM1100388
[19]
GSM1100389
[20]
GSM1100390
[21]
GSM1100391
[22]
GSM1100392
[23]
GSM1100393
[24]
GSM1100394
[25]
GSM1100395
[26]
GSM1100396
[27]
GSM1100397
[28]
GSM1100398
[29]
GSM1100399
[30]
GSM1100400
[31]
GSM1100401
[32]
GSM1100402
[33]
GSM1100403
[34]
GSM1100404
[35]
GSM1100405
[36]
GSM1100406
[37]
GSM1100407
[38]
GSM1100408
[39]
GSM1100409
[40]
GSM1100410
[41]
GSM1100411
[42]
GSM1100412
[43]
GSM1100413
[44]
GSM1100414
[45]
GSM1100415
[46]
GSM1100416
[47]
GSM1100417
[48]
GSM1100418
[49]
GSM1100419
[50]
GSM1100420
[51]
GSM1100421
[52]
GSM1100422
[53]
GSM1100423
[54]
GSM1100424
[55]
GSM1100425
[56]
GSM1100426
[57]
GSM1100427
[58]
GSM1100428
[59]
GSM1100429
[60]
GSM1100430
[61]
GSM1100431
[62]
GSM1100432
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GSM1100433
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title
Gene expression profiles of human hepatocellular carcinoma (training set 1)
resolution_checked_at
2026-11-01T15:39:54Z
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sample_count
161
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6480
taxon
Homo sapiens
title
Prospective gene expression analysis of human RNA samples from Hepatocellular Carcinoma in relation with growth rate and survival
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2026-11-01T15:39:54Z
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In the training cohort, leveraging the aforementioned 301 PRGs, the PRGsSig was established through univariate cox regression (p < 0.01), LASSO regression, and multiple stepwise cox regression analysis.
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The paper names GSE16757, GSE54236, GSE14520, GSE45267, GSE36376 in GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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[5]
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[7]
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t study, we systematically analyzed multiple transcriptome cohort samples from the TCGA, ICGC and GEO d
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gnificantly upregulated in HCC cells and its knockdown significantly inhibited the proliferation an
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[2]
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In the training cohort, leveraging the aforementioned 301 PRGs, the PRGsSig was established through univariate cox regression (p < 0.01), LASSO regression, and multiple stepwise cox regression analysis.
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41619135", "kind": "science-record", "revision": 3, "content_hash": "sha256:ca3245fd7ec36ad3ae367670630e167566cd5355e276ea55c54f82def0971eba", "created_at": "2026-11-01T20:31:43Z", "updated_at": "2026-11-01T22:15:33Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A novel signature of palmitoylation for predicting prognosis and therapeutic response of hepatocellular carcinoma.", "doi": "10.1007/s12672-026-04544-w", "pmid": "41619135", "authors": ["Yun Li", "Zhongquan Yi", "Linhua Liu", "Danping Huang"], "journal": "Discover oncology", "year": 2026, "abstract": "Hepatocellular carcinoma (HCC) represents an extremely complex and heterogeneous malignant tumor. Protein palmitoylation, a highly conserved and pivotal form of post-translational protein modification, is extensively implicated in cancer progression and exerts a regulatory role in immune responses. Nevertheless, the prognosis significance and therapeutic potential of palmitoylation-related genes (PRGs) in HCC remain incompletely explored. In the present study, we systematically analyzed multiple transcriptome cohort samples from the TCGA, ICGC and GEO databases, including the TCGA-LIHC, ICGC-LIRI, GSE16757, GSE54236, GSE14520, GSE45267 and GSE36376 cohorts. Subsequently, within the TCGA training cohort, a PRGsSig comprising three hub PRGs, namely HSP90AA1, CTHRC1, and PTDSS2, was constructed via machine learning algorithms. Then, the efficacy of this PRGsSig on prognosis prediction was assessed in the training and validation cohorts. Further analysis of immunotherapy response indicated that patients with low PRGsSig scores benefited more from treatment. Additionally, remarkable disparities were observed between patients in different signature score groups in terms of clinical characteristics, tumor mutation burden, tumor microenvironment, and potential drugs. Furthermore, among the three hub PRGs, PTDSS2 was significantly upregulated in HCC cells and its knockdown significantly inhibited the proliferation and metastasis of HCC cells. 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